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Attrition rates, reasons, and predictive factors in supportive care and palliative oncology clinical trials
Open accessAbstract
BACKGROUND: Attrition is common among supportive care/palliative oncology clinical trials. However, to the authors' knowledge, few studies to date have documented the reasons and predictors for dropout. In the current study, the authors' objective was to determine the rate, reasons, and factors associated with attrition both before reaching the primary endpoint and at the end of the study. METHODS: A review of all prospective interventional supportive care/palliative oncology trials conducted in the Department of Palliative Care and Rehabilitation Medicine at The University of Texas MD Anderson Cancer Center in Houston between 1999 and 2011 was performed. Patient and study characteristics and attrition data were extracted. RESULTS: A total of 1214 patients were included in 18 clinical trials. The median age of the patients was 60 years. Approximately 41% had an Eastern Cooperative Oncology Group performance status of ≥ 3, a median Edmonton Symptom Assessment Scale (ESAS) for fatigue of 7 of 10, and a median ESAS for dyspnea of 2 of 10. The attrition rate was 26% (95% confidence interval [95% CI], 23%‐28%) for the primary endpoint and 44% (95% CI, 41%‐47%) for the end of the study. Common reasons for primary endpoint dropout were symptom burden (21%), patient preference (15%), hospitalization (10%), and death (6%). Primary endpoint attrition was associated with a higher baseline intensity of fatigue (odds ratio [OR], 1.10 per point; P = .01) and a longer study duration ( P = .04). End‐of‐study attrition was associated with higher baseline levels of dyspnea (OR, 1.06; P = .01), fatigue (OR, 1.08; P = .01), Hispanic race (OR, 1.87; P = .002), higher level of education ( P = .02), longer study duration ( P = .01), and outpatient studies ( P = 0.05). CONCLUSIONS: The attrition rate was high in supportive care/palliative oncology clinical trials, and was associated with various patient characteristics and a high baseline symptom burden. These findings have implications for future clinical trial design including eligibility criteria and sample size calculation. Cancer 2013. © 2012 American Cancer Society.
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“Las personas con cáncer avanzado presentan aún mayor riesgo de presentar problemas de salud mental (8-10) , con prevalencias elevadas de trastornos del estado de ánimo y síntomas depresivos, trastornos cognitivos, ansiedad, insomnio e ideas de muerte (11-13) .”
From AVANZACT: protocolo e intervención psicoterapéutica en cáncer avanzado basados en Terapia de Aceptación y Compromiso. (2025) · cites this paper as [13]
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“dado que en personas con cáncer avanzado es habitual una alta tasa de rechazo y abandono del tratamiento (13,48,72)”
From AVANZACT: protocolo e intervención psicoterapéutica en cáncer avanzado basados en Terapia de Aceptación y Compromiso. (2025) · cites this paper as [13]
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Metadata
- Authors
- Hui, D., Glitza, I., Chisholm, G., Yennu, S., & Bruera, E.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Hui, David
- Venue
- Cancer
- Publisher
- Wiley
- Published
- 2012-11-06
- Volume
- 119
- Issue
- 5
- Pages
- 1098-1105
- ISSN
- 0008-543X (ISSN-L)
- 1097-0142
- PMC
- PMC3568443
- OpenAlex
- W2052953863
- Cited by
- 250
- References
- 31
- Citations by year
- 2026: 28 · 2025: 19 · 2024: 22 · 2023: 23 · 2022: 22 · 2021: 35 · 2020: 29 · 2019: 17 · 2018: 11 · 2017: 14 · 2016: 8 · 2015: 7 · 2014: 10 · 2013: 3 · 2012: 1
- FWCI
- 6.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Cancer (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5r01ca124481-03, 5r01nr010162-04)
- National Cancer Institute (R01CA12 4481-01, CA 016672, T32CA009666, R01CA122292, R01 CA124481, P30CA016672)
- National Institute of Nursing Research (R01NR010162-01A1, R01 NR010162)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative and Oncologic Care
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- attrition, trial dropout, palliative oncology, predictive factors, fatigue, dyspnea, symptom burden, patient preferences, study duration, Hispanic patients, clinical trial design, sample size determination
- MeSH terms
- Adult, Aged, Aged, 80 and over, Clinical Trials as Topic, Dyspnea, Fatigue, Female, Hospitalization, Humans, Male, Middle Aged, Neoplasms, Palliative Care, Patient Dropouts, Young Adult
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