Daily practice in guideline adherence to adjuvant chemotherapy in stage III colon cancer and predictors of outcome

Outcomes of Elderly Patients With Node-Positive Colon Cancer: A Multicenter Population-Based Cohort Study

BACKGROUND

In this large population-based cohort study, we examined the prognostic significance of various clinical, pathological, and contextual variables for their correlation with survival in elderly patients with stage III colon cancer.

METHODS

Patients aged ≥ 70 years with stage III colon cancer, diagnosed in Saskatchewan during 2012-2018, were evaluated. A Cox proportional multivariate survival analysis was performed to determine factors correlated with overall survival (OS) and disease-free survival.

RESULTS

Overall, 404 eligible patients with a median age of 79 years and a male-to-female ratio of 1:1 were identified. Among them, 48% were aged ≥ 80 years, 66% had ≥ 1 major comorbid illness, 46% had high-risk disease, and 50% had a node-positive to node-harvested (NPNH) ratio of > 0.1. Forty-three percent of patients received adjuvant chemotherapy. The 5-year disease-free survival with chemotherapy was 49% versus 30% without chemotherapy (P < .001). The 5-year OS with adjuvant chemotherapy was 64% versus 49% without chemotherapy (P < .001). On multivariate analysis a past history of cancer, hazard ratio (HR) 1.47 (95% CI, 1.12-1.94); presence of an ostomy, HR 1.53 (1.16-2.03); NPNH ratio > 0.1, HR 1.51 (1.15-1.98); grade III tumor, HR 1.54 (1.16-2.04); WHO performance status > 1, HR 1.42 (1.06-1.90); no adjuvant chemotherapy, HR 1.82 (1.32-2.50); high-risk stage III disease, HR 1.60 (1.22-2.11), and baseline carcinoembryonic antigen > 5, HR 1.98 (1.50-2.61) were independently correlated with OS.

CONCLUSIONS

This study highlights the prognostic importance of several factors in elderly patients with stage III colon cancer, particularly the benefit of adjuvant chemotherapy on survival. Key predictors of poorer OS include a past history of cancer, presence pf an ostomy, and a higher NPNH ratio. These findings emphasize the need for personalized treatment approaches to improve outcomes in this vulnerable population.

Disparities in postoperative adjuvant therapy utilization and factors impacting survival among anaplastic thyroid cancer patients

BACKGROUND

Anaplastic thyroid cancer (ATC) is highly aggressive with a poor prognosis. Adjuvant systemic therapy and radiation post-surgery are endorsed by NCCN and ATA guidelines. Our study aimed to identify those at risk of forgoing postoperative adjuvant treatment and to determine survival predictors.

METHODS

We used the National Cancer Database (NCDB) to identify ATC patients who underwent upfront thyroidectomy from 2010 to 2017, excluding those opting for palliative care. We compared demographics, characteristics, treatments, and outcomes between those who received adjuvant therapy and those who did not. Predictors of receiving adjuvant therapy were identified using logistic regression, while Cox regression identified survival factors.

RESULTS

Of 563 patients, 160 received no adjuvant treatment, 82 received radiation only, 16 received systemic therapy only, and 305 received combination therapy. Notably, over 75 ​% of patients who did not receive adjuvant treatment had it excluded from their treatment plan, not due to refusal. Older age (OR 0.92) and non-white race/ethnicity (OR 0.33) were significant predictors of not receiving adjuvant therapy. Undergoing a total thyroidectomy, an R0 or R1 resection, and radiation or combination therapy were associated with better survival, while non-metropolitan location, primary tumor size >7.5 ​cm, and stage IVC disease were negative factors.

CONCLUSION

Total thyroidectomy, R0/R1 resection, and adjuvant therapy reduce mortality in ATC patients. However, older patients and minorities are less likely to receive adjuvant therapy, underscoring disparities in treatment adherence.

A novel method for continuous measurements of clinical practice guideline adherence

Introduction

Clinical practice guidelines (hereafter 'guidelines') are crucial in providing evidence-based recommendations for physicians and multidisciplinary teams to make informed decisions regarding diagnostics and treatment in various diseases, including cancer. While guideline implementation has been shown to reduce (unwanted) variability and improve outcome of care, monitoring of adherence to guidelines remains challenging. Real-world data collected from cancer registries can provide a continuous source for monitoring adherence levels. In this work, we describe a novel structured approach to guideline evaluation using real-world data that enables continuous monitoring. This method was applied to endometrial cancer patients in the Netherlands and implemented through a prototype web-based dashboard that enables interactive usage and supports various analyses.

Method

The guideline under study was parsed into clinical decision trees (CDTs) and an information standard was drawn up. A dataset from the Netherlands Cancer Registry (NCR) was used and data items from both instruments were mapped. By comparing guideline recommendations with real-world data an adherence classification was determined. The developed prototype can be used to identify and prioritize potential topics for guideline updates.

Results

CDTs revealed 68 data items for recording in an information standard. Thirty-two data items from the NCR were mapped onto information standard data items. Four CDTs could sufficiently be populated with NCR data.

Conclusion

The developed methodology can evaluate a guideline to identify potential improvements in recommendations and the success of the implementation strategy. In addition, it is able to identify patient and disease characteristics that influence decision-making in clinical practice. The method supports a cyclical process of developing, implementing and evaluating guidelines and can be scaled to other diseases and settings. It contributes to a learning healthcare cycle that integrates real-world data with external knowledge.

Trends in Adjuvant Chemotherapy Use Among Stage III Colon Cancer in Non-Elderly and Low Comorbidity Patients

BACKGROUND

Adjuvant chemotherapy for stage III colon cancer is underutilized in the United States. The aim of this study was to assess the use of adjuvant chemotherapy in younger and medically fit patients and analyze the socioeconomic factors associated with its utilization.

METHODS

Using the National Cancer Database from 2004 to 2015, we selected stage III colon cancer patients between age 18 to 65, Charlson-Deyo Comorbidity Index (CDCI) of 0 or 1, and those that survived at least 12 months after surgery. We then compared patients that underwent surgery only with those that received adjuvant chemotherapy. Multivariable logistic regression analysis was performed to identify variables associated with adjuvant chemotherapy use in the population. Overall survival was estimated by Kaplan-Meier curves.

RESULTS

Of the 48,336 patients that met inclusion criteria, 43,315 (90%) received adjuvant chemotherapy. The utilization of adjuvant chemotherapy increased from 87% in 2004 to 91% in 2015. On multivariable regression analysis, the use of adjuvant chemotherapy was lower among males, Non-Hispanic Blacks and Hispanics, low-grade cancer, left-sided tumors, CDCI 1, those who travel ≥ 50 miles, yearly income < $40,227, and uninsured patients. The most common reason for the omission of adjuvant chemotherapy was the patient or caregiver's choice (40% between 2013 and 2015). The 5-year and 10-year overall survival rates were 76.7% and 63.8% respectively, in those who received adjuvant chemotherapy as compared to 65.1% and 49.3% in those who underwent surgery only (P < .001).

CONCLUSION

In young and medically fit stage III colon cancer patients, most patients received guideline-compliant care in the United States. However, socioeconomic disparities adversely impacted the use of adjuvant chemotherapy. The patient or caregiver's decision was the most common reason for non-adherence to adjuvant chemotherapy and lead to poor survival outcomes. Emphasis should be placed on developing patient-centered strategies to improve adherence to chemotherapy in all patients.

Nationwide implementation of a multifaceted tailored strategy to improve uptake of standardized structured reporting in pathology: an effect and process evaluation

Background

Implementation strategies are aimed at improving guideline adherence. Both effect and process evaluations are conducted to provide insights into the success or failure of these strategies. In our study, we evaluate the nationwide implementation of standardized structured reporting (SSR) in pathology.

Methods

An interrupted time series analysis was conducted to evaluate the effect of a previously developed implementation strategy, which consisted of various digitally available elements, on SSR in pathology laboratories. A segmented regression analysis was performed to analyze the change in mean SSR percentages directly after the strategy introduction for pathology reporting and specific subcategories. In addition, we analyzed the change in trend in the weekly percentages after strategy introduction, also for subgroups of tumor groups, retrieval methods, and type of laboratory. The change in SSR use after the strategy introduction was determined for all pathology laboratories. We further conducted a process evaluation in which the exposure to the strategy elements was determined. Experiences of the users with all strategy elements and the remaining barriers and potential strategy elements were evaluated through an eSurvey. We also tested whether exposure to a specific element and a combination of elements resulted in a higher uptake of SSR after strategy introduction.

Results

There was a significant increase in an average use of SSR after the strategy introduction for reporting of gastrointestinal (p=.018) and urological (p=.003) oncological diagnoses. A significant increase was present for all oncological resections as a group (p=.007). Thirty-three out of 42 pathology laboratories increased SSR use after the strategy introduction. The “Feedback button”, an option within the templates for SSR to provide feedback to the provider and one of the elements of the implementation strategy, was most frequently used by the SSR users, and effectiveness results showed that it increased average SSR use after the strategy introduction. Barriers were still present for SSR implementation.

Conclusions

Nationwide SSR implementation improved for specific tumor groups and retrieval methods. The next step will be to further improve the use of SSR and, simultaneously, to further develop potential benefits of high SSR use, focusing on re-using discrete pathology data. In this way, we can facilitate proper treatment decisions in oncology.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13012-022-01224-5.