Patient Involvement in Preparing Clinical Research Peer-Reviewed Publications or Results Summaries: A Systematic Review
Bibliographic record
Abstract
ObjectiveAlthough patient involvement in results reporting is being encouraged, relevant evidence must be assessed before developing best practice guidelines. Our objective was to conduct the first systematic literature review on the effects of patient involvement on results reporting. Research design and methodsPatient experts and publication professionals co-created a PRISMA-P protocol (PROSPERO registration submitted). Using MeSH terms and OVID, we searched (10/09/2017) MEDLINE, EMBASE and Cochrane databases (all languages; 01/01/2015–10/09/2017) and secondary sources. Eligible articles had to report on the effects of having patients author or contribute to clinical research peer reviewed publications or summaries. The primary outcome was the number of articles investigating patient authorship or contribution to peer-reviewed publications. For included articles, we assessed bias risk (Newcastle-Ottawa Scale). ResultsOf the 105 database articles retrieved, 24 duplicates were removed. Title/abstract screening excluded 62 articles. From full-text screening of 19 articles, we could include 2. Both focused on the effects of patient involvement for preparing peer-reviewed publications. Evidence quality for each article was poor/fair (0 randomised controlled trials). Reported benefits of patient involvement included meeting funder requirements, critical and unique contributions, new research ideas, improved reporting, patient empowerment and new skill development (patients and researchers). Reported harms included the need for additional time, training, resources and budget. ConclusionsThis systematic review identified a major evidence gap that must be addressed to guide best practices for patient involvement in results reporting. Patients, sponsors and publication professionals could co-create a research priority list and use emerging evidence to draft interim guidelines for ethical and meaningful involvement of patients in results reporting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.323 | 0.557 |
| Meta-epidemiology (narrow) | 0.002 | 0.004 |
| Meta-epidemiology (broad) | 0.010 | 0.010 |
| Bibliometrics | 0.020 | 0.024 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".