Overall time interval ("Total diagnostic delay") and mortality in symptomatic oral cancer: A U-shaped association

Factors associated with diagnostic and pre-treatment intervals among breast cancer patients attending care at the Uganda Cancer Institute: A cross-sectional study

BACKGROUND

Most breast cancer (BC) patients in Uganda are diagnosed with advanced-stage disease and experience poor outcomes. This study examined the diagnostic and pre-treatment intervals and factors associated with these intervals among BC patients attending care at the Uganda Cancer Institute (UCI).

METHODS

This was a cross-sectional, facility-based study. Data were collected using structured questionnaire administered by trained research assistants and analyzed using STATA version 14.0. Modified Poisson regressions models were used to determine the strength of associations between independent variables and diagnostic and pre-treatment intervals.

RESULTS

The mean age (±SD) of the 401 participants was 47.1 ± 11.7 years. Four in 10 participants had stage III (41.9%; n = 168) and over a third (34.7%; n = 140) stage IV cancers. The median interval from first consultation to diagnosis, i.e. diagnostic interval (DI) was 5.6 months (IQR: 1.5-17.0), while the median interval from histological diagnosis to start of chemotherapy, i.e. pre-treatment interval (PTI) was 1.7 months (IQR: 0.7-4.5). Majority (85%, n = 341) of participants were diagnosed at ≥3 months from first consultation with clinicians. Participants with tertiary education and those who lived within 100-199 km from the UCI were about four times and twice more likely to be diagnosed early (DI <3 months from first consultation) ([aPR = 3.88; 95% CI: 1.15-13.0] and [aPR = 2.19; 95% CI: 1.06-4.55]), respectively. About half (48.3%; n = 176) of participants started chemotherapy within 1 month of cancer diagnosis. Patients who lived more than 300 km from the UCI were less likely to start chemotherapy within 1 month of histology diagnosis of cancer. [Correction added on October 17, 2023 after first online publication. The term ', i.e.' has been included in the results section in this version.] CONCLUSION: Majority of breast cancer patients are diagnosed late and in advanced stages. There is need to promote all efforts toward timely diagnosis when cancers are still in early stages by identifying factors responsible for prolonged diagnostic intervals among breast cancer patients.

The duration of intervals on the oral cancer care pathway and implications for survival: a systematic review and meta-analysis

Introduction

Previous studies measuring intervals on the oral cancer care pathway have been heterogenous, showing mixed results with regard to patient outcomes. The aims of this research were (1) to calculate pooled meta-analytic estimates for the duration of the patient, diagnostic and treatment intervals in oral cancer, considering the income level of the country, and (2) to review the evidence on the relationship of these three intervals with tumor stage at diagnosis and survival.

Materials and methods

We conducted a systematic review with meta-analysis following PRISMA 2020 guidelines (pre-registered protocol CRD42020200752). Following the Aarhus statement, studies were eligible if they reported data on the length of the patient (first symptom to first presentation to a healthcare professional), diagnostic (first presentation to diagnosis), or treatment (diagnosis to start of treatment) intervals in adult patients diagnosed with primary oral cancer. The risk of bias was assessed with the Aarhus checklist.

Results

Twenty-eight studies reporting on 30,845 patients met the inclusion criteria. The pooled median duration of the patient interval was 47 days (95% CI = 31-73), k = 18, of the diagnosis interval 35 days (95% CI = 21-38), k = 11, and of the treatment interval 30 days (95% CI = 23-53), k = 19. In lower-income countries, the patient and treatment intervals were significantly longer, and longer patient intervals were related to later stage at diagnosis. In studies with a lower risk of bias from high-income countries, longer treatment intervals were associated with lower survival rates.

Conclusion

Interval duration on the oral cancer care pathway is influenced by the socio-economic context and may have implications for patient outcomes.

Oral and oropharyngeal cancer: time from first symptoms to treatment initiation and associated factors

The aim of this study was to evaluate the time elapsed from first symptoms to the treatment of oral and oropharyngeal cancer (OOC) and to identify variables associated with treatment delay. This is an observational study with retrospective and prospective data collection. Patients with a diagnosis of OOC seen at the Head and Neck Surgery outpatient clinic of a Brazilian public hospital were included and followed up to treatment initiation. Participants answered a questionnaire for the collection of socioeconomic, demographic, cultural, and clinical information, as well as information about the time elapsed from first symptoms to the first appointment with a head and neck surgeon. Time to treatment was classified into four intervals: 1- first symptoms to first medical appointment; 2- first medical appointment to specialized medical care; 3- specialized medical care to preparation for treatment; and 4- preparation for treatment to treatment initiation. Bivariate statistics were computed. Out of 100 participants, nine died before treatment. Mean time to treatment was 217 days. Highest mean time was observed for interval 2 (94 days), followed by interval 1 (63 days), interval 4 (39 days), and interval 3 (21 days). At interval 1, a longer time was associated with severe alcohol consumption, severe smoking, and family history of cancer. At interval 2, the delay was associated with appointment with a general practitioner, clinical diagnosis of disease other than cancer, and antibiotic prescription. At interval 4, delay in treatment was associated with surgical treatment. Patients with OOC experience delays from symptom onset to treatment initiation. The longest interval was associated with professional delay, followed by patient delay in help-seeking.

Noncoding RNAs in oral cancer

Oral cancer (OC) is the most prevalent subtype of cancer arising in the head and neck region. OC risk is mainly attributed to behavioral risk factors such as exposure to tobacco and excessive alcohol consumption, and a lesser extent to viral infections such as human papillomaviruses and Epstein-Barr viruses. In addition to these acquired risk factors, heritable genetic factors have shown to be associated with OC risk. Despite the high incidence, biomarkers for OC diagnosis are lacking and consequently, patients are often diagnosed in advanced stages. This delay in diagnosis is reflected by poor overall outcomes of OC patients, where 5-year overall survival is around 50%. Among the biomarkers proposed for cancer detection, noncoding RNA (ncRNA) can be considered as one of the most promising categories of biomarkers due to their role in virtually all cellular processes. Similar to other cancer types, changes in expressions of ncRNAs have been reported in OC and a number of ncRNAs have diagnostic, prognostic, and therapeutic potential. Moreover, some ncRNAs are capable of regulating gene expression by various mechanisms. Therefore, elucidating the current literature on the four main types of ncRNAs namely, microRNA, lncRNA, snoRNA, piwi-RNA, and circular RNA in the context of OC pathogenesis is timely and would enable further improvements and innovations in diagnosis, prognosis, and treatment of OC. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA in Disease and Development > RNA in Development.

Time-to-Treatment of Oral Cancer and Potentially Malignant Oral Disorders: Findings in Malaysian Public Healthcare

This study aims to evaluate the time-to-treatment of oral cancer and potentially malignant oral disorders (PMOD) in a Malaysian public healthcare setting while exploring its contributing factors. It consists of (1) a cross-sectional patient survey to quantify time to seek care and barriers faced, and (2) a retrospective medical record abstraction to determine treatment and management intervals. Time intervals were aggregated and analyzed by their primary contributor—patient, professional, or healthcare system. The average total time-to-treatment of the 104 patients investigated was 167 days (SD = 158). This was predominantly contributed by the patient interval of 120 days (SD = 152). In total, 67.0% of patients delayed their visit to primary healthcare centers because they assumed the lesions were not dangerous or of concern. Additionally, there was a significant difference between patients ‘facing’ and ‘not facing’ difficulties to seek care, at 157 vs. 103 days (p = 0.028). System and professional delays were comparably shorter, at 33 days (SD = 20) and 10 days (SD = 15) respectively. Both demonstrated a significant difference between oral cancer and PMOD, at 43 vs. 29 days (p < 0.001) and 5 vs. 17 days (p < 0.001). The findings reiterate the need to reform current initiatives to better promote early lesion recognition by patients and implement strategies for the elimination of their access barriers.

Machine learning predicts the prognosis of breast cancer patients with initial bone metastases

Background

Bone is the most common metastatic site of patients with advanced breast cancer and the survival time is their primary concern; however, we lack accurate predictive models in clinical practice. In addition to this, primary surgery for breast cancer patients with bone metastases is still controversial.

Method

The data used for analysis in this study were obtained from the SEER database (2010-2019). We made a COX regression analysis to identify prognostic factors of patients with bone metastatic breast cancer (BMBC). Through cross-validation, we constructed an XGBoost model to predicting survival in patients with BMBC. We also investigated the prognosis of patients treated with neoadjuvant chemotherapy plus surgical and chemotherapy alone using propensity score matching and K-M survival analysis.

Results

Our validation results showed that the model has high sensitivity, specificity, and correctness, and it is the most accurate one to predict the survival of patients with BMBC (1-year AUC = 0.818, 3-year AUC = 0.798, and 5-year survival AUC = 0.791). The sensitivity of the 1-year model was higher (0.79), while the specificity of the 5-year model was higher (0.86). Interestingly, we found that if the time from diagnosis to therapy was ≥1 month, patients with BMBC had even better survival than those who started treatment immediately (HR = 0.920, 95%CI 0.869-0.974, P < 0.01). The BMBC patients with an income of more than USD$70,000 had better OS (HR = 0.814, 95%CI 0.745-0.890, P < 0.001) and BCSS (HR = 0.808 95%CI 0.735-0.889, P < 0.001) than who with income of < USD$50,000. We also found that compared with chemotherapy alone, neoadjuvant chemotherapy plus surgical treatment significantly improved OS and BCSS in all molecular subtypes of patients with BMBC, while only the patients with bone metastases only, bone and liver metastases, bone and lung metastases could benefit from neoadjuvant chemotherapy plus surgical treatment.

Conclusion

We constructed an AI model to provide a quantitative method to predict the survival of patients with BMBC, and our validation results indicate that this model should be highly reproducible in a similar patient population. We also identified potential prognostic factors for patients with BMBC and suggested that primary surgery followed by neoadjuvant chemotherapy might increase survival in a selected subgroup of patients.

Reexamination of delays in diagnosis of oral cancer following an intervention program in Cordoba, Argentina

OBJECTIVE

We compare the results of delay in oral cancer diagnosis before and after a campaign directed toward dentists and raising awareness of the population to achieve early diagnosis of oral cancer in Córdoba, Argentina. The campaign included training dentists in diagnostic skills and a public awareness program through media and networks.

STUDY DESIGN

Clinical records (period 1: before intervention program, n = 70; period 2: after intervention program, n = 60) of patients presenting with oral squamous cell carcinoma treated in 2 referral centers were analyzed. Records included first symptoms, first consultation with a health professional, and the time when treatment was formulated.

RESULTS

Oral cancer diagnosis at early stages increased from 27% (period 1) to 40% (period 2). Biopsy at first consultation was indicated in 6% of patients in period 1 and in 23.3% in period 2 (odds ratio = 4.68; 95% confidence interval, 1.87-11.73; P < .05). Professional delay at early stage decreased from 72% in period 1 to 36.8% in period 2. During period 1, for initial stage cancer, the average patient and professional delays were 2.7 and 2.9 months, respectively (P = .06); in period 2, patient delay was 2.67 months and professional delay was 1.34 months (P = .005).

CONCLUSION

The intervention program helped to improve early-stage diagnosis from 27% to 40% by reducing professional delays.

The Effect of an Informative Video upon Anxiety and Stress in Patients Requiring an Oral Biopsy: A Randomized Controlled Study

OBJECTIVE

The use of multimedia tools improves patient understanding of surgical procedures, reduces anxiety and increases satisfaction. The present study evaluates the impact of an audiovisual intervention (video) upon anxiety and stress in patients requiring an oral biopsy.

MATERIAL AND METHODS

A prospective randomized clinical trial was carried out in patients requiring an oral biopsy. The control group (n = 60) received verbal standard information while the experimental group (n = 60) received information in the form of a video. The following data were recorded: gender, age, educational level and hemodynamic parameters (blood pressure, heart rate and blood oxygen saturation). The following questionnaires were used to assess anxiety and stress before and after the biopsy procedure: Corah's Modified Dental Anxiety Scale (MDAS), the State-Trait Anxiety Inventory (STAI) and the Hospital Anxiety and Depression Scale (HADS).

RESULTS

The final study sample consisted of 120 patients, of which 65.8% were women and 34.2% men, with a mean age of 40.5 ± 15.3 years. At the end of the study, the experimental group presented a significantly lower MDAS score than the control group (p = 0.041). The STAI score also showed a significant decrease with respect to the control group at the end of the study (p = 0.012). There were no statistically significant changes in the hemodynamic parameters in either group.

CONCLUSIONS

The video constituted a useful and easy tool for reducing anxiety among patients requiring an oral biopsy.

Impact of delay in diagnosis and treatment-initiation on disease stage and survival in oral cavity cancer: a systematic review

AIM/OBJECTIVES

This study aimed to systematically review the literature on the impact of delay in diagnosis and treatment of oral cavity cancer.

METHODS

PubMed and Embase were systematically searched for articles reporting impact of delay in diagnosis and treatment on cancer-stage and survival of oral cavity cancer. Studies comprising at least ten patients, and published since the year 2000, were included.

RESULTS

Sixteen studies (n = 45,001, range: 62-18,677 per study, 83% men), from Australia, Asia, Europe, North America and South America, met the inclusion criteria. Eleven studies (n = 1,460) examined delay in diagnosis, while five studies (n = 43,541) reported delay in treatment. Eight of the eleven studies, examining delay in diagnosis (n = 1,220), analyzed the correlation between delay in diagnosis and tumor stage at diagnosis. Three studies found a significant correlation between patient delay and advanced stage at diagnosis (p < 0.05), whereas three other studies did not. The studies reporting a significant correlation were from Asian countries, whereas the three studies that did not find a correlation were from other continents. Studies reporting on professional delay and total diagnostic delay, generally, did not find a significant correlation with advanced cancer at diagnosis. Time to treatment (TTI), defined as time from diagnosis to treatment, was found significantly correlated with survival in three studies (p < 0.01, p < 0.001, p < 0.05), and nonsignificant in two studies.

CONCLUSION

A significant correlation between patient delay and advanced stage cancer was reported in Asian studies only, while professional delay and total diagnostic delay were generally found to be non-correlated with advanced stage cancer at diagnosis. TTI was in some studies reported to be correlated with poorer outcome, while other studies did not report a correlation. One study presented that there was no clear advantage in overall survival (OS) for patients treated within 30 days, compared to patients treated between 30 and 44 days.

Time-to-Treatment in Oral Cancer: Causes and Implications for Survival

The purpose of this review was to identify and describe the causes that influence the time-intervals in the pathway of diagnosis and treatment of oral cancer and to assess its impact on prognosis and survival. The review was structured according to the recommendations of the Aarhus statement, considering original data from individual studies and systematic reviews that reported outcomes related to the patient, diagnostic and pre-treatment intervals. The patient interval is the major contributor to the total time-interval. Unawareness of signs and/or symptoms, denial and lack of knowledge about oral cancer are the major contributors to the process of seeking medical attention. The diagnostic interval is influenced by tumor factors, delays in referral due to higher number of consultations and previous treatment with different medicines or dental procedures and by professional factors such as experience and lack of knowledge related to the disease and diagnostic procedures. Patients with advanced stage disease, primary treatment with radiotherapy, treatment at an academic facility and transitions in care are associated with prolonged pre-treatment intervals. An emerging body of evidence supports the impact of prolonged pre-treatment and treatment intervals with poorer survival from oral cancer.

The interval since first symptoms until diagnosis of squamous cell carcinoma in the head and neck region is still a problem in southern Brazil

Background

The aim was to examine the interval since first symptoms until final diagnosis of squamous cell carcinoma (SCC) in the head and neck region in southern Brazil.

Material and Methods

The individuals were prospectively selected and underwent anamnesis, physical examination and interview in the first medical consultation at a Cancer Hospital from south of Brazil.

Results

From 488 patients who underwent clinical examination, 105 were included in the study with diagnosis of SCC. Patients average interval from first symptoms to final diagnosis was 152 days (median 86; max:1105; min: 1), the average professional interval was 108 days (median: 97; max:525; min: 1) , and the average total period interval was 258 days (median: 186; max:1177; min: 45). Factors statistically associated with patient and diagnosis itinerary intervals were smoking and poorly adapted dentures and distance from home to hospital, respectively.

Conclusions

The identification of the itinerary characteristics of this specific population may reflect in more effective public policies, such as primary and secondary prevention programs, aiming to increase the survival of oncological patient. Furthermore, the knowledge of the variables that influence the late diagnosis minimizes patient's journey in search of care to cancer centers through health programs.

Key words:Head and neck cancer, time interval, time to diagnosis, diagnosis delay, squamous cell carcinoma.