ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2023
Psychometrics of patient-reported bother from side effects of treatment single-items in industry-sponsored oncology trials.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Assessing tolerability with the Functional Assessment of Cancer Therapy item GP5: psychometric evidence from LIBRETTO-531, a phase 3 trial of selpercatinib in medullary thyroid cancer.Journal of patient-reported outcomes · 2024Trial
- The FACT-GP5 as a global tolerability measure: responsiveness and robustness to missing assessments.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Trial
- A single item for overall side effect impact: Association with clinician-reported adverse events and global health.Clinical trials (London, England) · 2026Article
- Patient-Reported Side Effect Bother: Understanding the Value of the Baseline Report.The patient · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImprovements in cancer treatment have increased the number of cancer survivors, but also increased the long-term and late effects from cancer therapy. Patient reported "side effect bother" could be used to measure the burden of treatment, and the risk for negative outcomes such as dose reduction, treatment delay or discontinuation. The current study addresses the psychometric properties of a single item, determines what represents a "meaningful change", and evaluates the correlation to safety endpoints and functioning.
methodsResults from 5911 patients enrolled in 8 clinical trials representing 5 disease types in oncology and hematology who completed either the Functional Assessment of Cancer Therapy (FACT) GP5 item or a modified bother item (MBI) were assessed.
resultsPatients ranged in age from 18 to 93 years, with all cancer stages represented and approximately equal numbers of males and females. Test-retest reliability was acceptable, as were convergent and known groups validity. The GP5 and MBI effectively demonstrated sensitivity to change over time and established meaningful thresholds.
conclusionsThe results indicate that these single-items are psychometrically sound, capable of distinguishing known groups, responsive to change and can identify meaningful change over time in terms of treatment-related symptoms. It extends the findings of recent scientific groups by providing analyses not included in prior studies, and further supports the FDA's recommendation to include a single item question in clinical trials.
Indexed as
Identifiers
37119353What 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.