Evidence map›Paper›PMID 36936602›Full record

ArticleBMJ medicine2022

Comparison of published core outcome sets with outcomes recommended in regulatory guidance from the US Food and Drug Administration and European Medicines Agency: cross sectional analysis.

Ian J Saldanha, Susanna Dodd, Rebecca Fish, Sarah L Gorst, Deborah A Hall, Pamela Jacobsen, Jamie J Kirkham, Dominic Trepel, Paula R Williamson

Open access · goldAbstract read
In one paragraph

Article in BMJ medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 4 countries.

Ian J SaldanhaDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA.ORCID 0000-0002-2062-3382
Susanna DoddDepartment of Health Data Science, University of Liverpool, Liverpool, UK.
Rebecca FishFaculty of Biology, Medicine, and Health, University of Manchester, Manchester, UK.
Sarah L GorstDepartment of Health Data Science, University of Liverpool, Liverpool, UK.
Deborah A HallDepartment of Psychology, Heriot-Watt University - Malaysia Campus, Putrajaya, Wilayah Persekutuan Putrajaya, Malaysia.
Pamela JacobsenDepartment of Psychology, University of Bath, Bath, UK.
Jamie J KirkhamFaculty of Biology, Medicine, and Health, University of Manchester, Manchester, UK.ORCID 0000-0003-2579-9325
Dominic TrepelTrinity Institute of Neurosciences, Trinity College Dublin, Dublin, Ireland.
Paula R WilliamsonDepartment of Health Data Science, University of Liverpool, Liverpool, UK.
University of Liverpool · GBUniversity of Manchester · GBBrown University · USHeriot-Watt University Malaysia · MYUniversity of Bath · GBUniversity of California, San Francisco · US

Funding

Medical Research Council MR/S014357/1
6 · The paper itself

Abstract

Objective: To compare the outcomes in published core outcome sets with the outcomes recommended in corresponding guidance documents from the European Medicines Agency (EMA) and US Food and Drug Administration (FDA), matched by health condition. Design: Cross sectional analysis. Setting: US and Europe. Population: Sample of core outcome sets related to drugs, devices, and gene therapy that involved patients in the consensus process, published between 1 January 2015 and 31 December 2019; and corresponding EMA and FDA guidance documents. Main outcome measures: The extent of matches between outcomes included within core outcome sets and those recommended in corresponding EMA and FDA guidance documents were assessed. Matches were considered to be general (ie, non-specific) or specific (ie, exact). General matches were assessed to determine whether the core outcome set or guidance document outcome was narrower. Results: Relevant guidance documents were found for for 38 (39%) of 98 eligible published core outcome sets. Among outcomes in core outcome sets, medians of 70% (interquartile range 48-86%) and 52% (33-77%) were matches with outcomes recommended in EMA and FDA documents, respectively. Medians of 46% (27-68%) and 26% (18-46%) were specific matches with outcomes in EMA and FDA documents, respectively. When outcomes were generally matched, the outcomes from core outcome sets were more frequently narrower than the regulatory outcomes (83% and 75% for EMA and FDA, respectively). Conclusion: Greater adoption of, and reference to, core outcome sets in regulatory guidance documents can encourage clinical trialists, especially those in industry, to measure and report consistent and agreed outcomes and improve the quality of guidance. Given the overlap between outcomes in core outcome sets and regulatory guidance, and given that most core outcome sets now involve patients in the consensus process, these sets could serve as a useful resource for regulators when recommending outcomes for studies evaluating regulated products. Developers are encouraged to appraise recommended outcomes in salient regulatory documents when planning a core outcome set.

Indexed as

EpidemiologyInternal medicine

Identifiers

PMID36936602
PMCPMC9978677
OpenAlexW4308026811

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.