Symptoms and other factors associated with time to diagnosis and stage of lung cancer: a prospective cohort study

Screening for Lung Cancer: CHEST Guideline and Expert Panel Report

BACKGROUND

Low-dose chest CT screening for lung cancer has become a standard of care in the United States, in large part because of the results of the National Lung Screening Trial (NLST). Additional evidence supporting the net benefit of low-dose chest CT screening for lung cancer, and increased experience in minimizing the potential harms, has accumulated since the prior iteration of these guidelines. Here, we update the evidence base for the benefit, harms, and implementation of low-dose chest CT screening. We use the updated evidence base to provide recommendations where the evidence allows, and statements based on experience and expert consensus where it does not.

METHODS

Approved panelists reviewed previously developed key questions using the Population, Intervention, Comparator, Outcome format to address the benefit and harms of low-dose CT screening, and key areas of program implementation. A systematic literature review was conducted using MEDLINE via PubMed, Embase, and the Cochrane Library on a quarterly basis since the time of the previous guideline publication. Reference lists from relevant retrievals were searched, and additional papers were added. Retrieved references were reviewed for relevance by two panel members. The quality of the evidence was assessed for each critical or important outcome of interest using the Grading of Recommendations, Assessment, Development, and Evaluation approach. Meta-analyses were performed when enough evidence was available. Important clinical questions were addressed based on the evidence developed from the systematic literature review. Graded recommendations and ungraded statements were drafted, voted on, and revised until consensus was reached.

RESULTS

The systematic literature review identified 75 additional studies that informed the response to the 12 key questions that were developed. Additional clinical questions were addressed resulting in seven graded recommendations and nine ungraded consensus statements.

CONCLUSIONS

Evidence suggests that low-dose CT screening for lung cancer can result in a favorable balance of benefit and harms. The selection of screen-eligible individuals, the quality of imaging and image interpretation, the management of screen-detected findings, and the effectiveness of smoking cessation interventions can impact this balance.

The BUILT study: a single-center 5-year experience of Lung Cancer screening in Taiwan

Background: There are no uniform guidelines on low-dose computed tomography (LDCT) follow-up in lung cancer screening. Few studies have analyzed the incidental abnormalities and role of tumor markers in lung cancer screening. The purpose of this study was to investigate the diagnostic performance of LDCT, optimal follow-up duration, incidental findings, and role of tumor markers in diagnosing lung cancer. Methods: We retrospectively analyzed subjects who underwent their first LDCT in Taipei Tzu Chi Hospital between September 1, 2015, and August 31, 2016. All chest CT scans until August 31, 2020, were recorded. A non-calcified nodule with a diameter ≥2 mm on LDCT was defined as a positive result. We extracted the data, including possible risk factors of lung cancer and follow-up outcomes. Results: A total of 1502 subjects were recruited. Of the 38 subjects who underwent biopsy, 31 had confirmed lung cancer. Lung cancer in all patients was diagnosed within 4 years. Univariate logistic regression analysis revealed that a family history of lung cancer in first-degree relatives and abnormal serum carcinoembryonic antigen (CEA) levels were the significant risk factors for lung cancer. A cumulative lung cancer incidence of 54.7 patients per 1000 person-years was determined solely via radiological follow-up. In total, 271 (18%) subjects exhibited incidental findings on baseline LDCT. Conclusion: The overall lung cancer detection rate in this study was 2.1% in the 5-year study period. A family history of lung cancer and abnormal serum CEA levels are important risk factors for lung cancer. A minimum of 4-year follow-up is required to track suspicious nodules. A purely radiological follow-up detects a high incidence of lung cancer.

An evaluation of a national mass media campaign to raise public awareness of possible lung cancer symptoms in England in 2016 and 2017

BACKGROUND

A two-phase 'respiratory symptoms' mass media campaign was conducted in 2016 and 2017 in England raising awareness of cough and worsening shortness of breath as symptoms warranting a general practitioner (GP) visit.

METHOD

A prospectively planned pre-post evaluation was done using routinely collected data on 15 metrics, including GP attendance, GP referral, emergency presentations, cancers diagnosed (five metrics), cancer stage, investigations (two metrics), outpatient attendances, inpatient admissions, major lung resections and 1-year survival. The primary analysis compared 2015 with 2017. Trends in metrics over the whole period were also considered. The effects of the campaign on awareness of lung cancer symptoms were evaluated using bespoke surveys.

RESULTS

There were small favourable statistically significant and clinically important changes over 2 years in 11 of the 15 metrics measured, including a 2.11% (95% confidence interval 1.02-3.20, p < 0.001) improvement in the percentage of lung cancers diagnosed at an early stage. However, these changes were not accompanied by increases in GP attendances. Furthermore, the time trends showed a gradual change in the metrics rather than steep changes occurring during or after the campaigns.

CONCLUSION

There were small positive changes in most metrics relating to lung cancer diagnosis after this campaign. However, the pattern over time challenges whether the improvements are wholly attributable to the campaign. Given the importance of education on cancer in its own right, raising awareness of symptoms should remain important. However further research is needed to maximise the effect on health outcomes.

Patients' health literacy is associated with timely diagnosis of cancer-A cross-sectional study in Denmark

OBJECTIVE

Timely diagnosis of cancer is important for prognosis. Patients' health literacy (HL) may impact differences of diagnostic delays. Thus, we aim to explore the association between HL and diagnostic intervals in cancer.

METHODS

Questionnaire data were obtained from patients with cancer diagnosed in 2016 and their general practitioner (n = 3890). The primary care interval (PCI) and the diagnostic interval (DI) were calculated using dates from national registries and questionnaires. A long PCI and DI were defined as ≥75th percentile. HL was assessed using scales from the Health Literacy Questionnaire: engaging with healthcare providers (scale 6:Engagement, n = 3008), navigating in healthcare (scale 7:Navigation, n = 2827) and understanding health information (scale 9:Knowledge, n = 3002). Low HL was defined as a score ≤3.

RESULTS

Low HL was reported by 12.2% (Engagement), 27.0% (Navigation) and 9.3% (Knowledge) of the patients and associated with a long PCI after adjustment of socio-economic factors: Engagement (prevalence rate ratio [PRR] 1.27 [95% CI 1.01-1.60]), Navigation (PRR 1.41 [95% CI 1.10-1.80]) and Knowledge (PRR 1.32 [95% CI 1.03-1.68]). No association was found between HL and DI.

CONCLUSION

HL may interfere with the diagnostic processes in general practice. Efforts to manage low HL include GPs' awareness of patients' ability to explain and respond to bodily changes and use of corresponding safety-netting strategies.

Clinical-pathological and molecular characterization of long-term survivors with advanced non-small cell lung cancer

Objective: Long-term survivors (LS) of non-small cell lung cancer (NSCLC) without driver alterations, displaying an overall survival (OS) of more than 3 years, comprise around 10% of cases in several series treated with chemotherapy. There are classical prognosis factors for these cases [stage, Eastern Cooperative Oncology Group (ECOG), etc.], but more data are required in the literature. In this multi-center study, we focused on LS of advanced NSCLC with OS above 36 months to perform a clinical-pathological and molecular characterization.

Methods: In the first step, we conducted a clinical-pathological characterization of the patients. Afterwards, we carried out a genetic analysis by comparing LS to a sample of short-term survivors (SS) (with an OS less than 9 months). We initially used whole-genome RNA-seq to identify differentiating profiles of LS and SS, and later confirmed these with reverse transcription-polymerase chain reaction (RT-PCR) for the rest of the samples.

Results: A total of 94 patients were included, who were mainly men, former smokers, having adenocarcinoma (AC)-type NSCLC with an ECOG of 0–1. We obtained an initial differential transcriptome expression, displaying 5 over- and 33 under-expressed genes involved in different pathways: namely, the secretin receptor, surfactant protein, trefoil factor 1 (TFF1), serpin, Ca-channels, and Toll-like receptor (TLRs) families. Finally, RT-PCR analysis of 40 (20 LS/20 SS) samples confirmed that four genes (surfactant proteins and SFTP) were significantly down-regulated in SS compared to LS by using an analysis of covariance (ANCOVA) model: SFTPA1 (P = 0.023), SFTPA2 (P = 0.027), SFTPB (P = 0.02), and SFTPC (P = 0.047).

Conclusions: We present a sequential genetic analysis of a sample of NSCLC LS with no driver alterations, obtaining a differential RNA-seq/RT-PCR profile showing an abnormal expression of SF genes.

Physician perspectives on delays in cancer diagnosis in Alberta: a qualitative study

BACKGROUND

Delays in cancer diagnosis have been associated with reduced survival, decreased quality of life after treatment, and suboptimal patient experience. The objective of the study was to explore the perspectives of a group of family physicians and other specialists regarding potentially avoidable delays in diagnosing cancer, and approaches that may help expedite the process.

METHODS

We conducted a qualitative study using interviews with physicians practising in primary and outpatient care settings in Alberta between July and September 2019. We recruited family physicians and specialists who were in a position to discuss delays in cancer diagnosis by email via the Cancer Strategic Clinical Network and the Alberta Medical Association. We conducted semistructured interviews over the phone, and analyzed data using thematic analysis.

RESULTS

Eleven family physicians and 22 other specialists (including 7 surgeons or surgical oncologists, 3 pathologists, 3 radiologists, 2 emergency physicians and 2 hematologists) participated in interviews; 22 were male (66.7%). We identified 4 main themes describing 9 factors contributing to potentially avoidable delays in diagnosis, namely the nature of primary care, initial presentation, investigation, and specialist advice and referral. We also identified 1 theme describing 3 suggestions for improvement, including system integration, standardized care pathways and a centralized advice, triage and referral support service for family physicians.

INTERPRETATION

These findings suggest the need for enhanced support for family physicians, and better integration of primary and specialty care before cancer diagnosis. A multifaceted and coordinated approach to streamlining cancer diagnosis is required, with the goals of enhancing patient outcomes, reducing physician frustration and optimizing efficiency.

HOTAIR promotes gefitinib resistance through modification of EZH2 and silencing p16 and p21 in non-small cell lung cancer

The long non-coding RNA Hox transcript antisense intergenic RNA (HOTAIR) plays a critical role in tumorigenesis as well as drug resistance in various cancers. However, the molecular mechanism by which HOTAIR induces gefitinib resistance in non-small cell lung cancer is to date unclear. In the present study, we revealed that HOTAIR is upregulated in gefitinib-resistant lung cancer cells and over-expression of HOTAIR enhances gefitinib resistance in lung cancer cells. In addition, the overexpression of HOTAIR promotes cell cycle progression through epigenetic regulation of EZH2/H3K27. Silencing of EZH2 by either siRNA or inhibitors sensitized the lung cancer cells to gefitinib. Inhibition of EZH2 induces expression of p16 and p21, whereas levels of CDK4, cyclinD1, E2F1, and LSD1 are significantly decreased in PC-9 cells overexpressing HOTAIR. ChIP-PCR experiments indicate that HOTAIR increases H3K27me3 recruitment to the promoter of p16 and p21 in PC-9 lung cancer cells overexpressing HOTAIR. In xenograft mouse models, overexpressing HOTAIR in lung cancer tissues decreased p16 and p21 proteins. Taken together, these data suggest that HOTAIR contributes to gefitinib resistance by regulating EZH2 and p16 and p21. Targeting HOTAIR may be a novel therapeutic strategy for treating gefitinib-resistance in non-small cell lung cancer.

A risk-based framework for assessing real-time lung cancer screening eligibility that incorporates life expectancy and past screening findings

BACKGROUND

Current lung cancer risk-based screening approaches use a single risk-threshold, disregard life-expectancy, and ignore past screening findings. We address these limitations with a comprehensive analytical framework, the individualized lung cancer screening decision (ENGAGE) tool that aims to optimize lung cancer screening for US ever-smokers under dynamic risk assessment by incorporating life expectancy and past screening findings over time.

METHODS

ENGAGE employs a partially observable Markov decision process framework that integrates published risk prediction and disease progression models, to dynamically assess the trade-off between the expected health benefits and harms associated with screening. ENGAGE evaluates lung cancer risk annually and provides real-time screening eligibility that maximizes the expected quality-adjusted life-years (QALYs) of ever-smokers. We compare ENGAGE against the 2013 U.S. Preventive Services Task Force (USPSTF) lung cancer screening guideline and single-threshold risk-based screening paradigms.

RESULTS

Compared with the 2013 USPSTF guidelines, ENGAGE expands screening coverage among ever-smokers (ENGAGE: 78%, USPSTF: 61%), while reducing the number of screening examinations per person (ENGAGE:10.43, USPSTF:12.07, P < .001), yields higher effectiveness in terms of increased lung cancer-specific mortality reduction (ENGAGE: 19%, USPSTF: 15%, P < .001) and improves screening efficiency (ENGAGE: 696, USPSTF: 819 screens per death avoided, P < .001). When compared against a single-threshold risk-based screening strategy, ENGAGE increases QALY requiring 30% fewer screens per death avoided (ENGAGE: 696, single-threshold: 889, P < .001), and reduces false positives by 40%.

CONCLUSIONS

ENGAGE provides a comprehensive framework for dynamic risk-based assessment of lung cancer screening eligibility by incorporating life expectancy and past screening findings that can serve to guide future policies on the effectiveness and efficiency of screening.

LAY SUMMARY

A novel decision-analytical screening framework was developed for lung cancer, the individualized lung cancer screening decision (ENGAGE) tool to provide personalized screening schedules for ever-smokers. ENGAGE captures the dynamic nature of lung cancer risk and incorporates life expectancy into the screening decision-making process. ENGAGE integrates past screening findings and changes in smoking behavior of individuals and provides informed screening decisions that outperform existing screening guidelines and single-threshold risk-based screening approaches. A personalized lung cancer screening program facilitated by a tool such as ENGAGE could enhance the efficiency of lung cancer screening.

Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes

An increasing incidence of cancer has led to high patient volumes and time challenges in ambulatory oncology clinics. By knowing how many patients are experiencing complex care needs in advance, clinic scheduling and staff allocation adjustments could be made to provide patients with longer or shorter timeslots to address symptom complexity. In this study, we used predictive analytics to forecast the percentage of patients with high symptom complexity in one clinic population in a given time period. Autoregressive integrated moving average (ARIMA) modelling was utilized with patient-reported outcome (PRO) data and patient demographic information collected over 24 weeks. Eight additional weeks of symptom complexity data were collected and compared to assess the accuracy of the forecasting model. The predicted symptom complexity levels were compared with observation data and a mean absolute predicting error of 5.9% was determined, indicating the model’s satisfactory accuracy for forecasting symptom complexity levels among patients in this clinic population. By using a larger sample and additional predictors, this model could be applied to other clinics to allow for tailored scheduling and staff allocation based on symptom complexity forecasting and inform system level models of care to improve outcomes and provide higher quality patient care.

Screening for Lung Cancer: CHEST Guideline and Expert Panel Report - Executive Summary

BACKGROUND

Low-dose chest CT screening for lung cancer has become a standard of care in the United States, in large part due to the results of the National Lung Screening Trial. Additional evidence supporting the net benefit of low-dose chest CT screening for lung cancer, as well as increased experience in minimizing the potential harms, has accumulated since the prior iteration of these guidelines. Here, we update the evidence base for the benefit, harms, and implementation of low-dose chest CT screening. We use the updated evidence base to provide recommendations where the evidence allows, and statements based on experience and expert consensus where it does not.

METHODS

Approved panelists reviewed previously developed key questions using the PICO (population, intervention, comparator, and outcome) format to address the benefit and harms of low-dose CT screening, as well as key areas of program implementation. A systematic literature review was conducted using MEDLINE via PubMed, Embase, and the Cochrane Library on a quarterly basis since the time of the previous guideline publication. Reference lists from relevant retrievals were searched, and additional papers were added. Retrieved references were reviewed for relevance by two panel members. The quality of the evidence was assessed for each critical or important outcome of interest using the GRADE approach. Meta-analyses were performed where appropriate. Important clinical questions were addressed based on the evidence developed from the systematic literature review. Graded recommendations and un-graded statements were drafted, voted on, and revised until consensus was reached.

RESULTS

The systematic literature review identified 75 additional studies that informed the response to the 12 key questions that were developed. Additional clinical questions were addressed resulting in 7 graded recommendations and 9 ungraded consensus statements.

CONCLUSIONS

Evidence suggests that low-dose CT screening for lung cancer can result in a favorable balance of benefit and harms. The selection of screen-eligible individuals, the quality of imaging and image interpretation, the management of screen detected findings, and the effectiveness of smoking cessation interventions, can impact this balance.

Using patients' own knowledge of early sensations and symptoms to develop an interactive, individualized e-questionnaire to facilitate early diagnosis of lung cancer

Background

One reason for the often late diagnosis of lung cancer (LC) may be that potentially-indicative sensations and symptoms are often diffuse, and may not be considered serious or urgent, making their interpretation complicated. However, with only a few exceptions, efforts to use people’s own in-depth knowledge about prodromal bodily experiences has been a missing link in efforts to facilitate early LC diagnosis. In this study, we describe and discuss facilitators and challenges in our process of developing and initial testing an interactive, self-completion e-questionnaire based on patient descriptions of experienced prodromal sensations and symptoms, to support early identification of lung cancer (LC).

Methods

E-questionnaire items were derived from in-depth, detailed explorative interviews with individuals undergoing investigation for suspected LC. The descriptors of sensations/symptoms and the background items obtained were the basis for developing an interactive, individualized instrument, PEX-LC, which was refined for usability through think-aloud and other interviews with patients, members of the public, and clinical staff.

Results

Major challenges in the process of developing PEX-LC related to collaboration among many actors, and design/user interface problems including technical issues. Most problems identified through the think-aloud interviews related to design/user interface problems and technical issues rather than content, for example we re-ordered questions to be in line with patients’ chronological, rather than retrospective, descriptions of their experiences. PEX-LC was developed into a final e-questionnaire on a touch-screen smart tablet with one background module covering sociodemographic characteristics, 10 interactive, individualized modules covering early sensations and symptoms, and a 12th assessing current symptoms.

Conclusions

Close collaboration with patients throughout the process was intrinsic for developing PEX-LC. Similarly, we recognized the extent to which clinicians and technical experts were also important in this process. Similar endeavors should assure all necessary competence is included in the core research team, to facilitate timely progress. Our experiences developing PEX-LC combined with new empirical research suggest that this individualized, interactive e-questionnaire, developed through systematizing patients’ own formulations of their prodromal symptom experiences, is both feasible for use and has potential value in the intended group.

Functional Decline as an Indicator of Ill-Health: A Retrospective Case Study of the Process Leading to Lung Cancer

Purpose

Lung cancer claims more lives than any cancer in the world and remains difficult to diagnosis at early stages. Detecting lung cancer is challenging due to nonspecific symptom presentation. Literature was reviewed to consider functional decline as an indicator for ill-health. This study explored the process experienced from recognition in a change of health to receiving a lung cancer diagnosis from a patient’s perspective in order to examine this phase through a biopsychosocial lens.

Patients and Methods

A single-case design methodology was used for this study. The method of data collection was semi-structured interviews with people diagnosed with lung cancer utilizing criterion sampling. The case study was bound by diagnostic and geographical factors to frame the single-case: participants were limited to those living in Alaska diagnosed with stage III or stage IV lung cancer.

Results

One (n = 1) person participated in this study. Themes consistent with lung cancer detection process from a patient’s perspective include symptom denial, symptom reductionism, and gradual impact on function.

Conclusion

Although the number of participants was extremely limited due to the COVID-19 pandemic at the time of recruitment, this case study suggests a decline in function present prior to being diagnosed with lung cancer. Opportunities exist within the provider and patient interface to promote earlier detection include educating medical providers to ask specific, closed-ended, non-disease related functional questions to ascertain more details and a holistic representation of patients’ health. Raising public awareness of lung cancer symptoms, such as fatigue and dyspnea, is also warranted.

Evaluating the delay prior to primary care presentation in patients with lung cancer: a cohort study

Background

Little is known about 'within-patient delay', which is the time from first symptom of lung cancer to contacting primary care.

Aim

Primary outcomes were length of within-patient delay and the proportion of total delay it represents. Secondary outcomes were factors causing delay and survival.

Design & setting

A cohort study of newly diagnosed patients with lung cancer at two hospitals in Norfolk.

Method

Patients completed questionnaires regarding onset of symptoms, whether they had delayed, and their reasons. GPs completed correlating questionnaires. Pathway times and other data were extracted from cancer registry and hospital records, and outcomes obtained prospectively. Factors causing delay were compared using ratios of geometric means.

Results

In 379 patients, mean within-patient delay and pre-secondary care delay were 188.6 days and 241 days (61.4% and 78.5% of total delay, respectively). It was found that 38.8% of patients felt they had delayed. Patient-related causes of delay were denial (ratio of means [ROM] = 4.36; P = 0.002, 95% confidence interval [CI] = 1.71 to 11.1); anxiety (ROM = 3.36; P = 0.026; 95% CI = 1.16 to 9.76); non-recognition of symptoms (ROM = 2.80; P = 0.004; 95% CI = 1.41 to 5.59); and smoking (ROM = 1.76; P = 0.021; 95% CI = 1.09 to 2.86), respectively. These symptoms were associated with delay: finger swelling or discomfort (ROM = 2.72; P = 0.009, 95% CI = 1.29 to 5.74); cough (ROM = 2.53; P<0.001; 95% CI = 1.52 to 4.19); weight loss (ROM = 2.41; P<0.001; 95% CI = 1.49 to 3.88); weakness (ROM = 2.35; P = 0.001; 95% CI = 1.45 to 3.83); dyspnoea (ROM = 2.30; P = 0.001; 95% CI = 1.40 to 3.80); voice change (ROM = 1.90; P = 0.010; 95% CI = 1.17 to 3.10); and sputum (ROM = 1.66; P = 0.039; 95% CI = 1.03 to 2.67), respectively, also having more than five symptoms (compared with 1–3) (ROM = 3.69; P<0.001; 95% CI = 2.05 to 6.64). No overall relation between within-patient delay and survival was seen.

Conclusion

Using smoking registers, awareness literature, and self-care manuals, primary care staff could liaise with people who have ever smoked regarding their symptoms to ensure early referral to secondary care.

Experiences along the diagnostic pathway for patients with advanced lung cancer in the USA: a qualitative study

BACKGROUND

Most patients with lung cancer are diagnosed at advanced stages. However, the advent of oral targeted therapies has improved the prognosis of many patients with lung cancer.

PURPOSE

We aimed to understand the diagnostic experiences of patients with advanced lung cancer with oncogenic mutations.

METHODS

Qualitative interviews were conducted with patients with advanced or metastatic non-small cell lung cancer with oncogenic alterations. Patients were recruited from online support groups within the USA. Interviews were conducted remotely or in person. Analysis used an iterative inductive and deductive process. Themes were mapped to the Model for Pathways to Treatment.

RESULTS

40 patients (12 male and 28 female) with a median age of 48 were included. We identified nine distinct themes. During the 'patient interval', individuals became concerned about symptoms, but often attributed them to other causes. Prolonged or more severe symptoms prompted care-seeking. During the 'primary care interval', doctors initially treated for illnesses other than cancer. Discovery of an imaging abnormality was a turning point in diagnostic pathways. Occasionally, severity of symptoms prompted patients to seek emergency care. During the 'secondary care interval', obtaining tissue samples was pivotal in confirming diagnosis. Delays in accessing oncology care sometimes led to patient distress. Obtaining genetic testing was crucial in directing patients to receive targeted treatments.

CONCLUSIONS

Patients experienced multiple different routes to their diagnosis. Some patients perceived delays, inefficiencies and lack of coordination, which could be distressing. Shifting the stage of diagnosis of lung cancer to optimise the impact of targeted therapies will require concerted efforts in early detection.

Sensations, symptoms, and then what? Early bodily experiences prior to diagnosis of lung cancer

Lung cancer (LC) generally lacks unique core symptoms or signs. However, there are a multitude of bodily sensations that are often non-specific, not easily understood, and many times initially not recognized as indicative of LC by the affected person, which often leads to late diagnosis. In this international qualitative study, we inductively analyzed retrospective accounts of 61 people diagnosed with LC in Denmark, England and Sweden. Using the bodily sensations they most commonly spoke about (tiredness, breathlessness, pain, and cough), we constructed four sensation-based cases to understand the pre-diagnostic processes of reasoning and practice triggered by these key indicators of LC. We thereafter critically applied Hay's model of sensations to symptoms transformation, examining its central concepts of duration, disability and vulnerability, to support understanding of these processes. We found that while duration and disability are clearly relevant, vulnerability is more implicitly expressed in relation to perceived threat. Tiredness, even when of long duration and causing disability, was often related to normal aging, rather than a health threat. Regardless of duration, breathlessness was disturbing and threatening enough to lead to care-seeking. Pain varied by location, duration and degree of disability, and thus also varied in degree of threat perceived. Preconceived, but unmet expectations of what LC-related cough and pain would entail could cause delays by misleading participants; if cough lasted long enough, it could trigger health care contact. Duration, disability, and sense of threat, rather than vulnerability, were found to be relevant concepts for understanding the trajectory to diagnosis for LC among these participants. The process by which an individual, their family and health care providers legitimize sensations, allowing them to be seen as potential symptoms of disease, is also an essential, but varying part of the diagnostic processes described here.

Promoting lung cancer awareness, help-seeking and early detection: a systematic review of interventions

Lung cancer (LC) is the leading cause of cancer death. Barriers to the early presentation for LC include lack of symptom awareness, symptom misappraisal, poor relationship with doctors and lack of access to healthcare services. Addressing such barriers can help detect LC early. This systematic review describes the effect of recent interventions to improve LC awareness, help-seeking and early detection. This review was guided by the Cochrane Handbook for Systematic Reviews of Interventions. Electronic databases MEDLINE, CINAHL, ERIC, APA PsycARTICLES, APA PsycInfo and Psychology and Behavioral Sciences Collection were searched. Sixteen studies were included. Knowledge of LC was successfully promoted in most studies using educational sessions and campaigns. LC screening uptake varied with most studies successfully reducing decision conflicts using decision aids. Large campaigns, including UK-based campaign 'Be Clear on Cancer', were instrumental in enhancing LC awareness, promoting help-seeking and yielding an increase in chest X-rays and a decrease in the number of individuals diagnosed with advanced LC. Multimodal public health interventions, such as educational campaigns are best suited to raise awareness, reduce barriers to help-seeking and help detect LC early. Future interventions ought to incorporate targeted information using educational resources, face-to-face counselling and video- and web-based decision aids.

Awareness and help-seeking for early signs and symptoms of lung cancer: A qualitative study with high-risk individuals

PURPOSE

Lung cancer is the most common malignancy and the leading cause of cancer death globally. Lung cancer incidence and mortality are highest among socioeconomically deprived individuals. This study explored awareness and help-seeking for early signs and symptoms of lung cancer among high-risk individuals.

METHODS

Participation was sought from multiple community centres and organisations in high-incidence and socioeconomically deprived areas in Ireland. Semi-structured focus groups were conducted with individuals at risk for lung cancer. Data were analysed using thematic analysis.

RESULTS

Five focus groups were conducted with 46 participants. Two themes were identified: (i) lung cancer awareness, beliefs, and experiences and (ii) help-seeking for early signs and symptoms of lung cancer. Participants had fragmented knowledge of lung cancer and associated this malignancy with death. Symptom change, persistence, seriousness, and family history of lung cancer served as triggers to help-seeking. General practitioners were identified as the first point of contact for symptoms of concern, yet their presumed negative attitudes towards smokers served as barriers to help-seeking. Other barriers included symptom misappraisal, fear, denial, use of self-help measures, being inherently a non-help seeker, and machoism and stoicism among men.

CONCLUSION

Study findings offer guidance regarding lung cancer knowledge gaps and barriers to help-seeking that ought to be considered in public health interventions aimed to promote lung cancer awareness and early detection.

CLINICAL IMPLICATIONS

This study highlights the need for healthcare professionals to adopt a non-judgmental approach during consults for symptoms indicative of lung cancer. This can potentially help detect lung cancer early.

Barriers and explanatory mechanisms in diagnostic delay in four cancers - A health-care disparity?

Introduction:

Most cancer disparities research has traditionally focused on two key outcomes, access to appropriate treatment and survival, but they do not encompass important aspects of patient-centered care such as the timeliness of diagnosis and treatment. Prolonged time intervals between symptom onset and treatment initiation increase the risk of poorer clinical outcomes and are associated with worse patient experience of subsequent cancer care. This study aims to assess the delay from symptom onset to the start of definitive treatment and to identify the possible contributory factors and its impact on response in cancers of head and neck, breast, cervix, and lung.

Materials and Methods:

This was a retrospective study of patients enrolled between 2015 and 2017. A questionnaire was filled in about socioeconomic aspects, patient history, tumor data, professionals who evaluated the patients, and the respective time delays. Statistical test included Mann–Whitney U test, univariate and multivariate test, and one-way ANOVA to evaluate the correlations.

Results:

Stage migration was significant with patient delay (P < 0.01). In head and neck squamous cell carcinoma (HNSCC) and Carcinoma lung, a significant correlation was found between referral delay and residence (P < 0.01) and treatment delay and reason for referral (HNSCC only) (P = 0.04). Referral delay and treatment delay were correlated to response in breast and cervix, respectively (P < 0.01).

Conclusion:

Social awareness, regularly updating primary care physicians about alarming symptoms of cancer, developing guidelines to identify these symptoms, promoting continuity of care, and enabling access to specialist expertise through prompt referral should all help prevent delays in cancer diagnosis.

Sex-based differences in time to surgical care among pancreatic cancer patients: A national study of Medicare beneficiaries

INTRODUCTION

The objective of this study was to characterize time from cancer symptoms to diagnosis and time from diagnosis to surgical treatment among patients undergoing pancreatectomy for cancer.

METHODS

Medicare beneficiaries who underwent pancreatectomy for cancer between 2013 and 2017 were identified using the 100% Medicare Inpatient Standard Analytic Files. Mixed effects negative binomial regression models were utilized to determine which factors were associated with the number of weeks to diagnosis and pancreatic resection.

RESULTS

Among 7647 Medicare beneficiaries, two-thirds (n = 5127, 67%) had symptoms associated with a pancreatic cancer diagnosis before surgery. Median time from the first symptom to diagnosis was 6 weeks (IQR: 1-25) and the median time from diagnosis to surgery was 4 weeks (IQR: 2-15). In risk-adjusted models, female patients had 13% longer waiting times from identification of a related symptom to pancreatic cancer diagnosis (OR = 1.13, 95% CI: 1.05-1.21) and 12% longer waiting times from diagnosis to surgery (OR = 1.12, 95% CI: 1.07-1.18). Older age was associated with 10% longer waiting times from symptom identification to diagnosis (p < .0001).

CONCLUSIONS

Female and older patients had longer wait times between symptom presentation and pancreatic cancer diagnosis. Sex-based disparities in cancer care need to be recognized and addressed by policymakers and health care institutions.

Health services costs for lung cancer care in Australia: Estimates from the 45 and Up Study

Background

Of all cancer types, healthcare for lung cancer is the third most costly in Australia, but there is little detailed information about these costs. Our aim was to provide detailed population-based estimates of health system costs for lung cancer care, as a benchmark prior to wider availability of targeted therapies/immunotherapy and to inform cost-effectiveness analyses of lung cancer screening and other interventions in Australia.

Methods

Health system costs were estimated for incident lung cancers in the Australian 45 and Up Study cohort, diagnosed between recruitment (2006–2009) and 2013. Costs to June 2016 included services reimbursed via the Medicare Benefits Schedule, medicines reimbursed via the Pharmaceutical Benefits Scheme, inpatient hospitalisations, and emergency department presentations. Costs for cases and matched, cancer-free controls were compared to derive excess costs of care. Costs were disaggregated by patient and tumour characteristics. Data for more recent cases identified in hospital records provided preliminary information on targeted therapy/immunotherapy.

Results

994 eligible cases were diagnosed with lung cancer 2006–2013; 51% and 74% died within one and three years respectively. Excess costs from one-year pre-diagnosis to three years post-diagnosis averaged ~$51,900 per case. Observed costs were higher for cases diagnosed at age 45–59 ($67,700) or 60–69 ($63,500), and lower for cases aged ≥80 ($29,500) and those with unspecified histology ($31,700) or unknown stage ($36,500). Factors associated with lower costs generally related to shorter survival: older age (p<0.0001), smoking (p<0.0001) and unknown stage (p = 0.002). There was no evidence of differences by year of diagnosis or sex (both p>0.50). For 465 cases diagnosed 2014–2015, 29% had subsidised molecular testing for targeted therapy/immunotherapy and 4% had subsidised targeted therapies.

Conclusions

Lung cancer healthcare costs are strongly associated with survival-related factors. Costs appeared stable over the period 2006–2013. This study provides a framework for evaluating the health/economic impact of introducing lung cancer screening and other interventions in Australia.

Erlotinib-Loaded Poly(ε-Caprolactone) Nanocapsules Improve In Vitro Cytotoxicity and Anticlonogenic Effects on Human A549 Lung Cancer Cells

Lung cancer is the most frequent type of cancer and the leading cause of cancer-related mortality worldwide. This study aimed to develop erlotinib (ELB)-loaded poly(ε-caprolactone) nanocapsules (NC_ELB) and evaluated their in vitro cytotoxicity in A549 cells. The formulation was characterized in relation to hydrodynamic diameter (171 nm), polydispersity index (0.076), zeta potential (- 8 mV), drug content (0.5 mg^.mL^-1), encapsulation efficiency (99%), and pH (6.0). NC_ELB presented higher cytotoxicity than ELB in solution against A549 cells in the MTT and LIVE/DEAD cell viability assays after 24 h of treatment. The main mechanism of cytotoxicity of NC_ELB was the induction of apoptosis in A549 cells. Further, a significant decrease in A549 colony formation was verified after NC_ELB treatment in comparison with the unencapsulated drug treatment. The reduction in clonogenic capacity is very relevant as it can reduce the risk of tumor recurrence and metastasis. In conclusion, erlotinib-loaded PCL nanocapsules are promising nanoparticles carriers to increase the efficacy of ELB in lung cancer treatment.

Patient symptom experience prior to a diagnosis of oesophageal or gastric cancer: a multi-methods study

BACKGROUND

Late stage diagnosis of oesophageal and gastric cancer is common, which limits treatment options and contributes to poor survival.

AIM

To explore patients' understanding, experience and presentation of symptoms before a diagnosis of oesophageal or gastric cancer.

DESIGN & SETTING

Between May 2016 and October 2017, all patients newly diagnosed with oesophageal or gastric cancer were identified at weekly multidisciplinary team meetings at two large hospitals in England. A total of 321 patients were invited to participate in a survey and secondary care medical record review; 127 (40%) participants responded (102 patients had oesophageal cancer and 25 had gastric cancer). Of these, 26 participated in an additional face-to-face interview.

METHOD

Survey and medical record data were analysed descriptively. Interviews were analysed using thematic analysis, informed by the Model of Pathways to Treatment.

RESULTS

Participants experienced multiple symptoms before diagnosis. The most common symptom associated with oesophageal cancer was dysphagia (n = 66, 65%); for gastric cancer, fatigue or tiredness (n = 20, 80%) was the most common symptom. Understanding of heartburn, reflux and indigestion, and associated symptoms differed between participants and often contrasted with clinical perspectives. Bodily changes attributed to personal and/or lifestyle factors were self-managed, with presentation to primary care prompted when symptoms persisted, worsened, or impacted daily life, or were notably severe or unusual. Participants rarely presented all symptoms at the initial consultation.

CONCLUSION

The patient interval may be lengthened by misinterpretation of key terms, such as heartburn, or misattribution or non-recognition of important bodily changes. Clearly defined symptom awareness messages may encourage earlier help-seeking, while eliciting symptom experience and meanings in primary care consultations could prompt earlier referral and diagnosis.

Why do delays to diagnosis and treatment of lung cancer occur? A mixed methods study of insights from Australian clinicians

AIMS

Delays in lung cancer diagnosis and treatment can impact survival. We explored reasons for delays experienced by patients with lung cancer to identify themes and strategies for improvement.

METHODS

We used national timeframe recommendations and standardized definitions to identify General Practitioners and specialists caring for 34 patients who experienced delays in our previous Medicare data linkage study. Clinicians participated in a survey and interview, including qualitative (exploratory, open-ended questions) and quantitative (rating scales) components. Exploratory content analysis, cross-case triangulation, and descriptive statistics were performed. Krippendorff's coefficient was used to assess level of agreement between clinicians and patients, and among clinicians, on perceived delays.

RESULTS

Overall, 27 out of 50 (54%) eligible clinicians participated (including 11 respiratory physicians and seven medical oncologists). Dominant themes for perceived causes of delay included referral barriers, limited General Practitioner (GP) awareness of subtle clinical presentations, insufficient radiology interpretation, and lack of cancer coordinators. "Unavoidable" delays may occur due to clinical circumstances. Awareness and uptake of referral and timeframe guidelines were low, with clinicians using professional networks over guidelines. There was no consistent agreement on perceived delays between patients and clinicians, and among clinicians (Krippendorff's coefficient .03 [P = .8]).

CONCLUSIONS

Strategies for minimizing avoidable delays include efficient GP to specialist referral and more lung cancer coordinators to assist with patient expectations and waitlist management. Clinicians' reliance on experience, rather than guidelines, indicates need to review guideline utility. Raising awareness of benchmarks and unavoidable barriers may recalibrate perceptions of "delays" to diagnosis and treatment of lung cancer.

Predictive values of lung cancer alarm symptoms in the general population: a nationwide cohort study

We aimed to firstly determine the 1-year predictive values of lung cancer alarm symptoms in the general population and to analyse the proportion of alarm symptoms reported prior to diagnosis, and secondly analyse how smoking status and reported contact with general practitioners (GPs) regarding lung cancer alarm symptoms influence the predictive values. The study was a nationwide prospective cohort study of 69,060 individuals aged ≥40 years, randomly selected from the Danish population. Using information gathered in a survey regarding symptoms, lifestyle and healthcare-seeking together with registry information on lung cancer diagnoses in the subsequent year, we calculated the predictive values and likelihood ratios of symptoms that might be indicative of lung cancer. Furthermore, we analysed how smoking status and reported contact with GPs regarding the alarm symptoms affected the predictive values. We found that less than half of the patients had reported an alarm symptom six months prior to lung cancer diagnosis. The positive predictive values of the symptoms were generally very low, even for patients reporting GP contact regarding an alarm symptom. The highest predictive values were found for dyspnoea, hoarseness, loss of appetite and for current heavy smokers. The negative predictive values were high, all close to 100%. Given the low positive predictive values, our findings emphasise that diagnostic strategies should not focus on single, specific alarm symptoms, but should perhaps focus on different clusters of symptoms. For patients not experiencing alarm symptoms, the risk of overlooking lung cancer is very low.

Bioconjugated gold nanoparticles as an efficient colorimetric sensor for cancer diagnostics

The chances of curing and reducing the adverse effect of cancer partly lie in early detection. Colorimetric sensor-based technique show promising results since the target is detected with high sensitivity but without the use of advanced/costly techniques through a simple visual color change. In most cases, gold nanoparticles (Au Nps) functionalized with biomolecules complementary to target analyte are used for colorimetric detection. The interaction of functionalized Au Nps with target analytes induce aggregation or dispersion where the color of the solution changes from red to blue or blue to red respectively, which can be visualized by the naked eyes. Such a facile technique has a high commercial viability and therefore, understanding its concept is essential. Here, some of the reported studies are discussed technically for better understanding about the invitro colorimetric detection of cancer.

Changes in the presenting symptoms of lung cancer from 2000-2017: a serial cross-sectional study of observational records in UK primary care

Background

Most patients diagnosed with lung cancer present with symptoms. It is not known if the proportions of patients presenting with each symptom has changed over time. Identifying trends in lung cancer’s presenting symptoms is important for medical education and early-diagnosis initiatives.

Aim

To identify the first reported symptom of possible lung cancer (index symptom), and to test whether the percentages of patients with each index symptom changed during 2000–2017.

Design and setting

This was a serial, cross-sectional, observational study using UK Clinical Practice Research Datalink (CPRD) data with cancer registry linkage.

Method

The index symptom was identified for patients with an incident diagnosis of lung cancer in annual cohorts between 1 January 2000 and 31 December 2017. Searches were constrained to symptoms in National Institute for Health and Care Excellence (NICE) suspected-cancer referral guidelines, and to the year before diagnosis. Generalised linear models (with a binomial function) were used to test if the percentages of patients with each index symptom varied during 2000–2017.

Results

The percentage of patients with an index symptom of cough (odds ratio [OR] 1.01; 95% confidence interval [CI] = 1.00 to 1.02 per year; P<0.0001) or dyspnoea (OR 1.05; CI = 1.05 to 1.06 per year; P<0.0001) increased. The percentages of patients with other index symptoms decreased, notably haemoptysis (OR 0.93; CI = 0.92 to 0.95; P<0.0001) and appetite loss (OR 0.94; CI = 0.90 to 0.97; P<0.0001).

Conclusion

During 2000–2017, the proportions of lung cancer patients with an index symptom of cough or dyspnoea increased, while the proportion of those with the index symptom haemoptysis decreased. This trend has implications for medical education and symptom awareness campaigns.

'Unpacking' pathways to lymphoma and myeloma diagnosis: Do experiences align with the Model of Pathways to Treatment? Findings from a UK qualitative study with patients and relatives

OBJECTIVES

To explore alignment of experiences before lymphoma and myeloma diagnosis with the appraisal, help seeking and diagnostic intervals in the Model of Pathways to Treatment (MPT).

DESIGN

A qualitative study using in-depth semistructured interviews with patients and relatives. Interviews were transcribed verbatim, anonymised and analysed using qualitative description.

SETTING

A UK population-based haematological malignancy patient cohort.

PARTICIPANTS

Fifty-five patients (35 lymphoma, 20 myeloma: diagnosed 2014-2016) and 28 relatives participated, within around a year of the patient's diagnosis. Patients were selected from those in the cohort who had returned a questionnaire about their symptoms and help seeking, and consented to contact for further research. Sampling was purposive, to achieve maximum variation in age, sex and time to diagnosis.

RESULTS

Participants described time from symptom onset to diagnosis as ranging from several weeks to years. Pathways largely aligned with MPT components and help seeking could lead to the rapid investigations and identification of abnormalities. However, symptoms could be vague and/or inadvertently interpreted as other conditions, which if perpetuated, could cause diagnostic delay. The latter was associated with chaotic pathways, with activities rarely occurring only once or in a linear sequence. Rather, intermittent or ongoing processes were described, moving forward and backwards through intervals. This is 'unpacked' within five themes: (1) appraisal and reappraisal; (2) patient-initiated self-management/treatment; (3) initial help seeking; (4) re-presentation; and (5) patient-initiated actions, decisions and emotions during re-presentation. Within these themes, various healthcare professionals were consulted, often many times, as symptoms persisted/progressed. Input from family/friends was described as substantial, as was the extent to which information seeking occurred.

CONCLUSION

Lymphoma and myeloma pathways align with the MPT, but do not fully capture the repetition and complexity described by participants. Time to diagnosis was often prolonged, despite the best efforts of patients, relatives and healthcare professionals. The impact of National Health Service England's Multi-diagnostic Disciplinary Centres on time to haematological cancer diagnosis remains to be seen.

Structure, Genome, Infection Cycle and Clinical Manifestations Associated with Human Papillomavirus

A small, non-enveloped, obligatory parasite, Human papillomavirus (HPV) is known to be the cause of a range of malignancies. These entail benign infections like genital warts as well as malignant, life-threatening conditions such as cervical cancer. Since a very high mortality rate is associated with HPV caused cancers (cervical cancer is a 2nd leading cause of death caused due to cancer among women globally), there is an escalating need to understand and search for ways to combat such medical conditions. Under the same light, the given article provides an insight into the world of this versatile pathogen. Distinct aspects related to HPV have been discussed here. Emphasis has been laid upon the composition, function and assembly of capsid proteins (structural studies) and various genetic elements and their gene products (genomic studies). The essence of the mechanism behind the development of persistent infection and modes responsible for the transmission of the infectious particles has been briefly covered. Finally, the review outlines various infections and diseases caused by HPV with a major focus on their clinical and histological manifestations.

Effect of a Skin Self-monitoring Smartphone Application on Time to Physician Consultation Among Patients With Possible Melanoma: A Phase 2 Randomized Clinical Trial

IMPORTANCE

Melanoma is among the most lethal skin cancers; it has become the fifth most common cancer in the United Kingdom, and incidence rates are rising. Population approaches to reducing incidence have focused on mass media campaigns to promote earlier presentation and potentially improve melanoma outcomes; however, interventions using smartphone applications targeting those with the greatest risk could promote earlier presentation to health care professionals for individuals with new or changing skin lesions.

OBJECTIVE

To study the effect of a commercially available skin self-monitoring (SSM) smartphone application among individuals with increased risk of melanoma on their decision to seek help for changing skin lesions.

DESIGN, SETTING, AND PARTICIPANTS

This phase 2 randomized clinical trial was conducted in 12 family practices in Eastern England between 2016 and 2017. A total of 238 participants, aged 18 to 75 years and with an increased risk of melanoma, were identified using a real-time melanoma risk assessment tool in family practice waiting rooms. Analysis was intention to treat. Participants were observed for 12 months, and data analysis was conducted from January to August 2018.

INTERVENTION

The intervention and control groups received a consultation with standard written advice on sun protection and skin cancer detection. The intervention group had an SSM application loaded on their smartphone and received instructions for use and monthly self-monitoring reminders.

MAIN OUTCOMES AND MEASURES

The coprimary outcomes were skin consultation rates with family practice physicians and patient intervals, measured as the time between noticing a skin change and consulting with a family practice clinician. Follow-up questionnaires were sent at 6 and 12 months, and consultation rates were extracted from family practice records. Secondary outcomes included skin self-examination benefits and barriers, self-efficacy for consulting without delay, perceived melanoma risk, sun protection habits, and potential harms.

RESULTS

A total of 238 patients were randomized (median [interquartile range] age, 55 [43-65] years, 131 [55.0%] women, 227 [95.4%] white British; 119 [50.0%] randomized to the intervention group). Overall, 51 participants (21.4%) had consultations regarding skin changes during the 12 months of follow-up, and 157 participants (66.0%) responded to at least 1 follow-up questionnaire. There were no significant differences in skin consultation rates (adjusted risk ratio, 0.96; 95% CI, 0.56 to 1.66; P = .89), measures of SSM (adjusted mean difference, 0.08; 95% CI, -0.83 to 1.00; P = .86), or psychological harm (eg, Melanoma Worry Scale: adjusted mean difference, -0.12; 95% CI, -0.56 to 0.31; P = .58).

CONCLUSIONS AND RELEVANCE

In this study, recruitment, retention, and initial delivery of the intervention were feasible, and this research provided no evidence of harm from the SSM smartphone application. However, no evidence of benefit on skin self-examination or health care consulting was found, and there is no reason at this stage to recommend its implementation in this population at increased risk of melanoma.

TRIAL REGISTRATION

isrctn.org Identifier: ISRCTN16061621.

Comorbidity and stage at diagnosis among lung cancer patients in the US military health system

PURPOSE

We investigated the association between comorbidities and stage at diagnosis among NSCLC patients in the US Military Health System (MHS), which provides universal health care to its beneficiaries.

METHODS

The linked data from the Department of Defense's Central Cancer Registry (CCR) and the MHS Data Repository (MDR) were used. The study included 4768 patients with histologically confirmed primary NSCLC. Comorbid conditions were extracted from the MDR data. Comorbid conditions were those included in the Charlson Comorbidity Index (CCI) and were defined as a diagnosis during a 3-year time frame prior to the NSCLC diagnosis. Multivariable logistic regression was performed to estimate odds ratios (ORs) and 95% confidence intervals (95% CI) of late stage (stages III and IV) versus early stage (stages I and II) in relation to pre-existing comorbidities.

RESULTS

Compared to patients with no comorbidities, those with prior comorbidities tended to be less likely to have lung cancer diagnosed at late stage. When specific comorbidities were analyzed, decreased odds of being diagnosed at late stage were observed among those with chronic obstructive pulmonary disease (COPD) (adjusted OR 0.78, 95% CI 0.68 to 0.90). In contrast, patients with a congestive heart failure or a liver cirrhosis/chronic hepatitis had an increased likelihood of being diagnosed at late stage (adjusted OR 1.30, 95% CI 1.00 to 1.69 and adjusted OR 1.87, 95% CI 1.24 to 2.82, respectively).

CONCLUSIONS

Among NSCLC patients in an equal access health system, the likelihood of late stage at diagnosis differed by specific comorbid diseases.

Cross-sectional study using primary care and cancer registration data to investigate patients with cancer presenting with non-specific symptoms

INTRODUCTION

Patients presenting to primary care with site-specific alarm symptoms can be referred onto urgent suspected cancer pathways, whereas those with non-specific symptoms currently have no dedicated referral routes leading to delays in cancer diagnosis and poorer outcomes. Pilot Multidisciplinary Diagnostic Centres (MDCs) provide a referral route for such patients in England.

OBJECTIVES

This work aimed to use linked primary care and cancer registration data to describe diagnostic pathways for patients similar to those being referred into MDCs and compare them to patients presenting with more specific symptoms.

METHODS

This cross-sectional study linked primary care data from the National Cancer Diagnosis Audit (NCDA) to national cancer registration and Route to Diagnosis records. Patient symptoms recorded in the NCDA were used to allocate patients to one of two groups - those presenting with symptoms mirroring referral criteria of MDCs (non-specific but concerning symptoms (NSCS)) and those with at least one site-specific alarm symptom (non-NSCS). Descriptive analyses compared the two groups and regression analysis by group investigated associations with long primary care intervals (PCIs).

RESULTS

Patients with NSCS were more likely to be diagnosed at later stage (32% stage 4, compared with 21% in non-NSCS) and via an emergency presentation (34% vs 16%). These patients also had more multiple pre-referral general practitioner consultations (59% vs 43%) and primary care-led diagnostics (blood tests: 57% vs 35%). Patients with NSCS had higher odds of having longer PCIs (adjusted OR: 1.24 (1.11 to 1.36)). Patients with lung and urological cancers also had higher odds of longer PCIs overall and in both groups.

CONCLUSIONS

Differences in the diagnostic pathway show that patients with symptoms mirroring the MDC referral criteria could benefit from a new referral pathway.

Comorbid chronic diseases and cancer diagnosis: disease-specific effects and underlying mechanisms

An earlier diagnosis is a key strategy for improving the outcomes of patients with cancer. However, achieving this goal can be challenging, particularly for the growing number of people with one or more chronic conditions (comorbidity/multimorbidity) at the time of diagnosis. Pre-existing chronic diseases might affect patient participation in cancer screening, help-seeking for new and/or changing symptoms and clinicians' decision-making on the use of diagnostic investigations. Evidence suggests, for example, that pre-existing pulmonary, cardiovascular, neurological and psychiatric conditions are all associated with a more advanced stage of cancer at diagnosis. By contrast, hypertension and certain gastrointestinal and musculoskeletal conditions might be associated with a more timely diagnosis. In this Review, we propose a comprehensive framework that encompasses the effects of disease-specific, patient-related and health-care-related factors on the diagnosis of cancer in individuals with pre-existing chronic illnesses. Several previously postulated aetiological mechanisms (including alternative explanations, competing demands and surveillance effects) are integrated with newly identified mechanisms, such as false reassurances, or patient concerns about appearing to be a hypochondriac. By considering specific effects of chronic diseases on diagnostic processes and outcomes, tailored early diagnosis initiatives can be developed to improve the outcomes of the large proportion of patients with cancer who have pre-existing chronic conditions.

Time intervals and routes to diagnosis for lung cancer in 10 jurisdictions: cross-sectional study findings from the International Cancer Benchmarking Partnership (ICBP)

OBJECTIVE

Differences in time intervals to diagnosis and treatment between jurisdictions may contribute to previously reported differences in stage at diagnosis and survival. The International Cancer Benchmarking Partnership Module 4 reports the first international comparison of routes to diagnosis and time intervals from symptom onset until treatment start for patients with lung cancer.

DESIGN

Newly diagnosed patients with lung cancer, their primary care physicians (PCPs) and cancer treatment specialists (CTSs) were surveyed in Victoria (Australia), Manitoba and Ontario (Canada), Northern Ireland, England, Scotland and Wales (UK), Denmark, Norway and Sweden. Using Wales as the reference jurisdiction, the 50th, 75th and 90th percentiles for intervals were compared using quantile regression adjusted for age, gender and comorbidity.

PARTICIPANTS

Consecutive newly diagnosed patients with lung cancer, aged ≥40 years, diagnosed between October 2012 and March 2015 were identified through cancer registries. Of 10 203 eligible symptomatic patients contacted, 2631 (27.5%) responded and 2143 (21.0%) were included in the analysis. Data were also available from 1211 (56.6%) of their PCPs and 643 (37.0%) of their CTS.

PRIMARY AND SECONDARY OUTCOME MEASURES

Interval lengths (days; primary), routes to diagnosis and symptoms (secondary).

RESULTS

With the exception of Denmark (-49 days), in all other jurisdictions, the median adjusted total interval from symptom onset to treatment, for respondents diagnosed in 2012-2015, was similar to that of Wales (116 days). Denmark had shorter median adjusted primary care interval (-11 days) than Wales (20 days); Sweden had shorter (-20) and Manitoba longer (+40) median adjusted diagnostic intervals compared with Wales (45 days). Denmark (-13), Manitoba (-11), England (-9) and Northern Ireland (-4) had shorter median adjusted treatment intervals than Wales (43 days). The differences were greater for the 10% of patients who waited the longest. Based on overall trends, jurisdictions could be grouped into those with trends of reduced, longer and similar intervals to Wales. The proportion of patients diagnosed following presentation to the PCP ranged from 35% to 75%.

CONCLUSION

There are differences between jurisdictions in interval to treatment, which are magnified in patients with lung cancer who wait the longest. The data could help jurisdictions develop more focused lung cancer policy and targeted clinical initiatives. Future analysis will explore if these differences in intervals impact on stage or survival.

Lung Cancer in the Young

INTRODUCTION

Median age at diagnosis of lung cancer is 70 years. Its presentation in patients 40 or younger is uncommon and it has been proposed that maybe it is a different disease due to its clinical characteristics and genetic makeup. There are a limited number of studies in this population and they report different clinic-pathological characteristics in comparison with older patients.

METHODS

We described the incidence of lung cancer patients diagnosed at age 40 or younger at the Instituto Nacional de Enfermedades Neoplasicas (INEN), Lima-Peru; from 2009 to 2017 and evaluated the characteristic of NSCLC. Epidemiologic and clinic-pathological data was collected from clinical files. Analysis was carried out using SPSSvs19 software.

RESULTS

We identified 3823 patients with lung cancer seen at INEN during the study period. Among these, 166 (4.3%) patients were 40 years or younger, and 137/166 (82.5%) were NSCLC. Median age at diagnosis was 36 years (range 14-40 years) and 59.1% of patients were female. A smoking history was present in 14.4% of patients. Frequent symptoms at diagnosis were cough (62.0%), chest pain (51.8%) and dyspnea (40.9%). Adenocarcinoma was the most common histological type (63.3%). Most patients had advanced disease at diagnosis (84.7%). The median overall survival was 8.2 months.

CONCLUSIONS

The proportion of young patients with lung cancer in our population is higher than that reported in the most recent literature. Lung cancer in the young is mostly sporadic, more frequent in women, usually adenocarcinoma type and it presents with advanced disease, resulting in a very poor survival.

Early symptoms and sensations as predictors of lung cancer: a machine learning multivariate model

The aim of this study was to identify a combination of early predictive symptoms/sensations attributable to primary lung cancer (LC). An interactive e-questionnaire comprised of pre-diagnostic descriptors of first symptoms/sensations was administered to patients referred for suspected LC. Respondents were included in the present analysis only if they later received a primary LC diagnosis or had no cancer; and inclusion of each descriptor required ≥4 observations. Fully-completed data from 506/670 individuals later diagnosed with primary LC (n = 311) or no cancer (n = 195) were modelled with orthogonal projections to latent structures (OPLS). After analysing 145/285 descriptors, meeting inclusion criteria, through randomised seven-fold cross-validation (six-fold training set: n = 433; test set: n = 73), 63 provided best LC prediction. The most-significant LC-positive descriptors included a cough that varied over the day, back pain/aches/discomfort, early satiety, appetite loss, and having less strength. Upon combining the descriptors with the background variables current smoking, a cold/flu or pneumonia within the past two years, female sex, older age, a history of COPD (positive LC-association); antibiotics within the past two years, and a history of pneumonia (negative LC-association); the resulting 70-variable model had accurate cross-validated test set performance: area under the ROC curve = 0.767 (descriptors only: 0.736/background predictors only: 0.652), sensitivity = 84.8% (73.9/76.1%, respectively), specificity = 55.6% (66.7/51.9%, respectively). In conclusion, accurate prediction of LC was found through 63 early symptoms/sensations and seven background factors. Further research and precision in this model may lead to a tool for referral and LC diagnostic decision-making.

Prevalence and diagnostic value of GPs' gut feelings for cancer and serious diseases: protocol for a prospective observational study of diagnostic validity

INTRODUCTION

Cancer diagnosis in primary care is an important challenge for general practitioners (GPs) due to the relatively low frequency of any single type of cancer and the heterogeneous signs and symptoms that can be present. In addition to analytical reasoning, GPs may become aware of gut feelings (GFs) as they suspect that a patient may have cancer or another serious disease. We aimed to investigate the prevalence and the predictive value of GFs for the diagnosis of cancer and serious diseases.

METHODS AND ANALYSIS

Prospective observational study of diagnostic validity. Participation will be offered to GPs from Majorca and Zaragoza (Spain). They will recruit all patients with a new reason for encounter during one or two workdays. GPs will complete the Gut Feelings Questionnaire (GFQ). Variables regarding patient, GP and consultation will be collected. Two and 6 months after the first visit, incident diagnoses of cancer or other serious diseases, diagnostic tests performed, referrals and new visits will be recorded. Analysis will include a descriptive analysis of the variables and prevalence of GFs, and the sensitivity, specificity, predictive values and likelihood ratios of the GFs (sense of alarm and sense of reassurance) for diagnosing cancer and other serious diseases, as measured with the GFQ.

ETHICS AND DISSEMINATION

The study has obtained approval from the Majorcan Primary Care Research Committee and from the Balearic Islands Ethical Committee, with reference number IB 3210/16 PI. The results may help GPs to make more accurate decisions about which patients need further examinations to rule out or to confirm a diagnosis of cancer or a serious disease, and which ones do not. The results will be published as part of the PhD project of the first author and in open access journals, and will be presented at medical conferences.

Reasons for prolonged time for diagnostic workup for stage I-II lung cancer and estimated effect of applying an optimized pathway for diagnostic procedures

BACKGROUND

Minimizing the time until start of cancer treatment is a political goal. In Norway, the target time for lung cancer is 42 days. The aim of this study was to identify reasons for delays and estimate the effect on the timelines when applying an optimal diagnostic pathway.

METHODS

Retrospective review of medical records of lung cancer patients, with stage I-II at baseline CT, receiving curative treatment (n = 100) at a regional cancer center in Norway.

RESULTS

Only 40% started treatment within 42 days. The most important delays were late referral to PET CT (n = 27) and exercise test (n = 16); repeated diagnostic procedures because bronchoscopy failed (n = 15); and need for further investigations after PET CT (n = 11). The time from referral to PET CT until the final report was 20.5 days in median. Applying current waiting time for PET CT (≤7 days), 48% would have started treatment within 42 days (p = 0.254). "Optimal pathway" was defined as 1) referral to PET CT and exercise test immediately after the CT scan and hospital visit, 2) tumor board discussion to decide diagnostic strategy and treatment, 3) referral to surgery or curative radiotherapy, 4) tissue sampling while waiting to start treatment. Applying the optimal pathway, current waiting time for PET CT and observed waiting times for the other procedures, 80% of patients could have started treatment within 42 days (p < 0.001), and the number of tissue sampling procedures could have been reduced from 112 to 92 (- 16%).

CONCLUSION

Changing the sequence of investigations would significantly reduce the time until start of treatment in curative lung cancer patients at our hospital and reduce the resources needed.

Encapsulated Carbenoxolone Reduces Lung Metastases

Carbenoxolone is an anti-inflammatory compound and a derivate of a natural substance from the licorice plant. We previously showed that carbenoxolone reduces the metastatic burden in the lungs of mice through its antagonistic effect on high mobility group box 1 (HMGB1). To further enhance carbenoxolone's activity and localization in the lungs, thereby reducing the potential adverse side effects resulting from systemic exposure, we developed a poly(lactic-co-glycolic acid) (PLGA) slow-release system for pulmonary delivery which maintains drug activity in-vitro, as demonstrated in the anoikis assay. Both systemic and intranasal administrations of carbenoxolone effectively minimize metastatic formation in a lung colonization model in mice. Our results show a decrease in the metastatic burden in the lung tissue. Notably, the therapeutic effect of a single intranasal administration of 25 mg/kg carbenoxolone, in the form of drug-loaded particles, had a similar effect in reducing metastatic lesions in the lungs to that of a 10-fold dose of the free drug via intraperitoneal injections, three times per week over the course of four weeks. These data offer new means to potentiate the anti-cancer activity of carbenoxolone and simultaneously reduce the requirement for high dosage administration; the upshot substantially improves therapeutic effect and avoidance of side effects.

Capmatinib for the treatment of non-small cell lung cancer

Introduction: Activation of the MET pathway through MET amplifications or mutations is present in 3-4% of stage IV non-squamous non-small cell lung cancers (NSCLC). High MET amplifications and exon 14 skipping mutations are associated with poor prognosis: new treatments are needed for these patients. Capmatinib is a highly selective, potent small-molecule MET inhibitor with antitumor activity in NSCLC in vitro and in vivo. Areas covered: This article provides an overview of the capmatinib clinical development program in NSCLC, both as monotherapy in NSCLC with a dysregulated MET pathway, and in combination with epidermal growth factor receptor (EGFR) inhibitor therapy in EGFR-mutant NSCLC with MET-based acquired resistance to previous EGFR inhibition. Expert opinion: In the GEOMETRY Mono-1 study, treatment with capmatinib resulted in high response rates in stage IV NSCLC with MET exon 14 skipping mutations, particularly in first line, supporting testing for this biomarker at the time of diagnosis. Durable responses have been reported and results in MET-amplified NSCLC are eagerly anticipated. In EGFR-mutant NSCLC, notable responses have been observed in combination with an EGFR-tyrosine kinase inhibitor (TKI) in case of acquired resistance to EGFR-TKIs based on high MET amplification.

What are the clinical symptoms and physical signs for non-small cell lung cancer before diagnosis is made? A nation-wide multicenter 10-year retrospective study in China

BACKGROUND

Most lung cancer patients are diagnosed after the onset of symptoms. However, whether the symptoms of lung cancer were independently associated with the diagnosis of lung cancer is unknown, especially in the Chinese population.

METHODS

We conducted a 10 years (2005-2014) nationwide multicenter retrospective clinical epidemiology study of lung cancer patients diagnosed in China. As such, this study focused on nonsmall cell lung cancer (NSCLC). We calculated the odds ratios (ORs) for variables associated with the symptoms and physical signs using multivariate unconditional logistic regressions.

RESULTS

A total of 7184 lung cancer patients were surveyed; finally, 6398 NSCLC patients with available information about their symptoms and physical signs were included in this analysis. The most common initial symptom and physical sign was chronic cough (4156, 65.0%), followed by sputum with blood (2110, 33.0%), chest pain (1146, 17.9%), shortness of breath (1090, 17.0%), neck and supraclavicular lymphadenectasis (629, 9.8%), weight loss (529, 8.3%), metastases pain (378, 5.9%), fatigue (307, 4.8%), fever (272, 4.3%), and dyspnea (270, 4.2%). Patients with squamous carcinoma and stage III disease were more likely to present with chronic cough (P < 0.0001) and sputum with blood (P < 0.0001) than patients with other pathological types and clinical stages, respectively. Metastases pain (P < 0.0001) and neck and supraclavicular lymphadenectasis (P = 0.0006) were more likely to occur in patients with nonsquamous carcinoma than in patients with other carcinomas. Additionally, patients with stage IV disease had a higher percentage of chest pain, shortness of breath, dyspnea, weight loss, and fatigue than patients with other stages of disease. In multivariable logistic analyses, compared with patients with adenocarcinoma, patients with squamous carcinoma were more likely to experience symptoms (OR = 2.885, 95% confidence interval [CI] 2.477-3.359) but were less likely to present physical signs (OR = 0.844, 95% CI 0.721-0.989). The odds of having both symptoms and physical signs were higher in patients with late-stage disease than in those with early-stage disease (P < 0.0001).

CONCLUSIONS

The symptoms and physical signs of lung cancer were associated with the stage and pathological diagnosis of NSCLC. Patients with squamous carcinoma were more likely to develop symptoms, but not signs, than patients with adenocarcinoma. The more advanced the stage at diagnosis, the more likely that symptoms or physical signs are to develop. Further prospective cohort studies are needed to explore these results.

Impact of an Onsite Endobronchial Ultrasound Program on the Time to Treatment of Cancer in Veterans

BACKGROUND

Endobronchial ultrasound (EBUS) is commonly employed in the diagnostic evaluation of pulmonary nodules and for mediastinal staging of lung cancer. We hypothesized that the establishment of an onsite EBUS program would decrease the time to the diagnosis and treatment of detected malignancy in veterans seen in a dedicated pulmonary nodule clinic.

METHODS

We conducted a retrospective chart review of patients seen at the Baltimore Veterans Affairs Medical Center (BVAMC) pulmonary nodule clinic and required diagnostic evaluation. One hundred and fifty consecutive patients before and after implementation of an onsite EBUS program were screened.

RESULTS

Forty-nine patients from the pre-intervention group and 41 patients from the post-intervention group underwent diagnostic evaluation and were included in study analyses. There was no significant difference in the median number of days between CT chest and initial visit to the BVAMC Lung Mass Clinic (22 vs. 14 days, P = 0.06), CT chest to diagnostic procedure (47.5 vs. 37 days, P = 0.33), and CT chest to initial treatment of detected malignancy (103 vs. 88 days, P = 0.15). There was no significant difference in the lung cancer stages or 1-year mortality between groups. A total of 76 barriers to care were identified among the 90 patients.

CONCLUSIONS

There was a trend towards improving the time from the initial CT chest to the treatment of cancer with onsite availability of EBUS. More efforts need to be done to decrease the modifiable barriers to treatment to improve the overall lung cancer care for veterans.

Presentation of lung cancer in primary care

Survival from lung cancer has seen only modest improvements in recent decades. Poor outcomes are linked to late presentation, yet early diagnosis can be challenging as lung cancer symptoms are common and non-specific. In this paper, we examine how lung cancer presents in primary care and review roles for primary care in reducing the burden from this disease. Reducing rates of smoking remains, by far, the key strategy, but primary care practitioners (PCPs) should also be pro-active in raising awareness of symptoms, ensuring lung cancer risk data are collected accurately and encouraging reluctant patients to present. PCPs should engage in service re-design and identify more streamlined diagnostic pathways—and more readily incorporate decision support into their consulting, based on validated lung cancer risk models. Finally, PCPs should ensure they are central to recruitment in future lung cancer screening programmes—they are uniquely placed to ensure the right people are targeted for risk-based screening programmes. We are now in an era where treatments can make a real difference in early-stage lung tumours, and genuine progress is being made in this devastating illness—full engagement of primary care is vital in effecting these improvements in outcomes.

Isolated involuntary weight loss: Epidemiology and predictive factors of malignancy

BACKGROUND AND OBJECTIVES

The aims of the study were to analyse the epidemiology, prognostic and predictive factors of malignant disease on isolated involuntary weight loss (IIWL) and to know the effectiveness of the quick diagnosis unit in the evaluation of the process.

MATERIAL AND METHODS

Prospective observational study realised from 2006 to 2015 of all patients who were evaluated with IIWL in the quick diagnosis unit. Demographic, clinical, diagnostic and evolutive variables were analysed. Through the analysis of logistic regression, predictive factors of malignant disease and prognostic factors were identified.

RESULTS

Of the 533 registered patients, 55.1% were≥65 years old. The diagnostics were: non-neoplastic organic disorders in 214 patients (40.2%), psychiatric disorders in 144 (27%), cancer in 81 (15.2%) and unknown cause in 94 (17.6%). In 66.7% of the patients with cancer, there was an increase of serum tumour markers (STM). Being over 60 (OR: 2.57; 95% CI: 1.27-5.77; P=.01) %), male (OR: 3.23; 95% CI: 1.52-6.87; P=0.002), increase of an STM (OR: 2.38; 95% CI: 1.17-4.8; P=0.016) and more than one STM (OR: 6.51; 95% CI: 2.62-16.13; P=0.000) were identified as predictive factors of malignancy. Mortality was 14.2%; the diagnosis of cancer (OR: 47.61; 95% CI: 20.76-109.19; P=0.000) was identified as a prognostic factor.

CONCLUSIONS

IIWL is a clinical syndrome that requires a study with a sequential protocol and follow-up. STM were identified as predictive factors of malignancy.

Lung cancer patients' journey from first symptom to treatment: Results from a Greek registry

BACKGROUND

To map the patients' journey from symptoms onset to treatment initiation for the most frequent histological types of lung cancer in Greece and describe the initial treatment that patients receive.

METHODS

The primary data source was a Greek hospital-based registry. Demographic, anthropometric, lifestyle, and diagnostic-related characteristics as well as treatment-related data were extracted from the registry for patients diagnosed with Adenocarcinoma, Squamous and Small Cell Lung Cancer (SCLC). The time intervals from symptoms onset to diagnosis (StD), diagnosis to treatment initiation (DtT), symptoms onset to treatment initiation (StT) and surgery to post-surgery treatment (SRGtT) were estimated.

RESULTS

231, 120 and 122 patients were diagnosed with Adenocarcinoma, SCLC and Squamous, respectively. The percentage of patients diagnosed at stage III/IV ranged from 75% in Adenocarcinoma to 97.5% in SCLC (p < 0.001). The median (IQR) StD was 52 (28-104) days and no difference was detected across the three histological types (p = 0.301). Cough as first symptom was the only determinant of StD (p = 0.001). The median (IQR) DtT was 23 (13-36) days, with this time interval being shorter among patients with SCLC compared to patients with Adenocarcinoma and Squamous (p < 0.001). The median (IQR) StT was 81 (51-139) days. Almost one third of patients with Adenocarcinoma and Squamous were subjected first to surgery and the median (IQR) SRGtT was 42 (34-55) days.

CONCLUSIONS

Our results indicate that time interval from symptoms onset to treatment initiation in Greece is substantially prolonged, highlighting the need for strategies to expedite lung cancer diagnosis and access to evidence-based treatment.

Lung cancer symptom appraisal among people with chronic obstructive pulmonary disease: A qualitative interview study

OBJECTIVE

The incidence of lung cancer is four times higher in people with chronic obstructive pulmonary disease (COPD) compared with the general population. Promotion of a shorter time from symptom onset to presentation is one potential strategy for earlier lung cancer diagnosis, but distinguishing respiratory symptoms can be difficult. We investigated how the experience of COPD influences symptom appraisal and help seeking for potential lung cancer symptoms.

METHODS

We conducted qualitative interviews with men (n = 17) and women (n = 23) aged 40 to 83 years with COPD. Topic guides drew on the integrated symptom-response framework and covered symptom experience, interpretation, action, recognition, help seeking, evaluation, and reevaluation. We used the framework method to analyse the data.

RESULTS

Participants said that they attributed chest symptoms to their COPD; no other cause was considered. Participants said that family/friends noticed changes in their symptoms and encouraged help seeking. Others felt isolated by their COPD because they could not get out, were fatigued, or were embarrassed. Participants visited health professionals frequently, but increased risk of lung cancer was not discussed.

CONCLUSIONS

Our study provides insight into different levels of influence on symptom appraisal and targets for intervention. Greater awareness of increased lung cancer risk and support to act on symptom changes is essential and could be achieved through a concerted information campaign. Health professionals working with people with COPD could also optimise appointments to support symptom appraisal of potential lung cancer symptoms.

Pathways to diagnosis of non-small cell lung cancer: a descriptive cohort study

Little has been published on the diagnostic and referral pathway for lung cancer in Australia. This study set out to quantify general practitioner (GP) and lung specialist attendance and diagnostic imaging in the lead-up to a diagnosis of non-small cell lung cancer (NSCLC) and identify common pathways to diagnosis in New South Wales (NSW), Australia. We used linked health data for participants of the 45 and Up Study (a NSW population-based cohort study) diagnosed with NSCLC between 2006 and 2012. Our main outcome measures were GP and specialist attendances, X-rays and computed tomography (CT) scans of the chest and lung cancer-related hospital admissions. Among our study cohort (N = 894), 60% (n = 536) had ≥4 GP attendances in the 3 months prior to diagnosis of NSCLC, 56% (n = 505) had GP-ordered imaging (chest X-ray or CT scan), 39% (N = 349) attended a respiratory physician and 11% (N = 102) attended a cardiothoracic surgeon. The two most common pathways to diagnosis, accounting for one in three people, included GP and lung specialist (respiratory physician or cardiothoracic surgeon) involvement. Overall, 25% of people (n = 223) had an emergency hospital admission. For 14% of people (N = 129), an emergency hospital admission was the only event identified on the pathway to diagnosis. We found little effect of remoteness of residence on access to services. This study identified a substantial proportion of people with NSCLC being diagnosed in an emergency setting. Further research is needed to establish whether there were barriers to the timely diagnosis of these cases.

Examining events leading to the diagnosis of non-small cell lung cancer (NSCLC) in Australia yields insights to guide further research and perhaps improve the pathways to diagnosis. NSCLC is by far the most common form of lung cancer. Researchers, led by the Cancer Institute New South Wales, investigated clinical care contacts leading to diagnosis, using a descriptive cohort study of 894 patients diagnosed between 2006 and 2012. The researchers quantified contact with GPs and lung specialists, hospital admissions and diagnostic imaging procedures. Living in remote locations had little influence on access to services. More than half of the patients did not see a lung specialist during the pathway to diagnosis, while a quarter received their diagnosis in an emergency setting. Further research should investigate whether there are barriers preventing timely diagnosis.