ReviewBMC cancer2024
Cancer care treatment attrition in adults: Measurement approaches and inequities in patient dropout rates - a rapid review.
Review in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Lines Left Uncrossed: The Cost of Attrition in Metastatic Triple Negative Breast Cancer.Cureus · 2026Article
- Identification and validation of an 11-kinase signature that predicts chemo- and radiosensitivity in gastric cancer.EBioMedicine · 2026Article
- Association between nutritional status, chemotherapy cycle count and treatment responses in adults with cancer in Ethiopia: a prospective cohort study.BMJ nutrition, prevention & health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer treatment attrition refers to the discontinuation of prescribed cancer therapies before completion. It can significantly impact patient outcomes and cancer survival rates making it a critical concern. There is growing evidence on inequalities in cancer care, the avoidable systematic differences in the health of different groups of people. Understanding the extent of treatment attrition, why it happens, for whom, and associated inequalities may improve cancer care delivery and patient outcomes.
methodsA rapid review was conducted to identify existing evidence on measures of cancer treatment attrition, definitions, reasons for attrition and potential inequalities. The review followed a systematic approach but with abbreviated processes to facilitate quicker evidence synthesis. Searches were restricted to MEDLINE and Embase databases from their inception dates to May 7, 2024. Additional searches were performed in PubMed, Google Scholar, and key grey literature from relevant organizations. Inclusion criteria were adults with any type of cancer undergoing treatment, with studies reporting quantitative or qualitative data on treatment attrition conducted outside of clinical trials. Exclusion criteria included studies on children or adolescents, clinical trials, non-English publications, and various non-research article types. Data extraction and quality assessment were performed using standardized tools, and studies were synthesized narratively.
resultsThe search retrieved 1,353 references, with 40 studies meeting inclusion criteria. Most studies were retrospective. Studies covered various cancer types and treatments, reporting measures of attrition and reasons for treatment drop-out. Factors influencing attrition included disease progression, death, clinical deterioration, treatment toxicity, and socioeconomic factors such as lower income or socioeconomic disadvantage.
conclusionsThis review highlights significant variability in how treatment attrition is measured and defined, and suggests potential inequalities in who discontinues treatment. Standardized measures of attrition and data collection on reasons for discontinuation are essential to improve cancer care outcomes and equity. Future research should focus on developing these standardized metrics and exploring interventions targeting identified disparities to support cancer patients to complete treatment and improve outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.