ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2025
Systematic reviews of patient-reported outcome measures (PROMs): table templates for effective communication.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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, 1 synthesis or guideline pooled it.
- COSMIN systematic review of stigma measurement in smoking, COPD, and lung cancer: content analysis, language audit, and psychometrics.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2026Pooled it
- Quantitative assessment of visual designs for communicating patient-reported outcomes in breast cancer care to patients.Journal of patient-reported outcomes · 2025Trial
- Assessing content validity: challenges of conducting systematic reviews of patient-reported outcome measures and recommendations to improve the application of COSMIN guidance.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeSystematic reviews of outcome measurement instruments (OMIs) are an important tool to guide the selection of OMIs for research and clinical practice. However, presenting the large amount of complex data pertaining both to the quality of each study (i.e., risk of bias) as well as the quality of the instrument (i.e., measurement properties), along with the underpinning certainty of evidence, is challenging. Here, we aim to provide guidance on optimizing data presentation in OMI systematic reviews, specifically focusing on patient-reported outcome measures (PROMs).
methodsA multidisciplinary team of experts in OMI systematic reviews, research reporting, and data visualization built on existing table templates from OMERACT and the COSMIN initiative, to align with reporting items in a recently developed reporting guideline for systematic reviews of OMIs: PRISMA-COSMIN for OMIs 2024. To enhance clarity and usability, we applied data visualization principles by reducing non-essential elements and improving interpretability through structured layouts and concise explanatory text.
resultsWe present eight templates for reporting PROM systematic review results: three pertain to PROM characteristics, two to studies' characteristics, two to the evaluation of measurement properties, and one to the summary of findings. We also provide recommendations on whether to include these templates in the review's main manuscript or in the supplementary materials. Word versions of these templates can be downloaded from www.prisma-cosmin.ca and www.cosmin.nl .
conclusionTemplates complementing the PRISMA-COSMIN for OMIs 2024 reporting guidance can be used to standardize and enhance the clarity and usefulness of OMI systematic reviews focusing on PROMs. They comprise a comprehensive set of tools to effectively report OMI systematic reviews, in service of end-users who are selecting OMIs.
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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.