Evidence map›Paper›PMID 32103725›Full record

ArticleBMC medical research methodology2020

A scoping review of core outcome sets and their 'mapping' onto real-world data using prostate cancer as a case study.

Michela Meregaglia, Oriana Ciani, Helen Banks, Maximilian Salcher-Konrad, Caroline Carney, Sahan Jayawardana, Paula Williamson, Giovanni Fattore

Open access · goldAbstract readScoping Review
In one paragraph

Article in BMC medical research methodology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Challenges to Global Standardization of Outcome Measures.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
    Review
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

8 authors at 4 institutions in 2 countries.

Michela MeregagliaCERGAS, SDA Bocconi, Milan, Italy. michela.meregaglia@unibocconi.it.ORCID 0000-0003-0092-5970
Oriana CianiCERGAS, SDA Bocconi, Milan, Italy.
Helen BanksCERGAS, SDA Bocconi, Milan, Italy.
Maximilian Salcher-KonradLSE Health, London School of Economics, London, UK.
Caroline CarneyLSE Health, London School of Economics, London, UK.
Sahan JayawardanaLSE Health, London School of Economics, London, UK.
Paula WilliamsonMRC North West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, UK.
Giovanni FattoreCERGAS, SDA Bocconi, Milan, Italy.
Bocconi University · ITLondon School of Economics and Political Science · GBUniversity of Exeter · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA Core Outcomes Set (COS) is an agreed minimum set of outcomes that should be reported in all clinical studies related to a specific condition. Using prostate cancer as a case study, we identified, summarized, and critically appraised published COS development studies and assessed the degree of overlap between them and selected real-world data (RWD) sources.

methodsWe conducted a scoping review of the Core Outcome Measures in Effectiveness Trials (COMET) Initiative database to identify all COS studies developed for prostate cancer. Several characteristics (i.e., study type, methods for consensus, type of participants, outcomes included in COS and corresponding measurement instruments, timing, and sources) were extracted from the studies; outcomes were classified according to a predefined 38-item taxonomy. The study methodology was assessed based on the recent COS-STAndards for Development (COS-STAD) recommendations. A 'mapping' exercise was conducted between the COS identified and RWD routinely collected in selected European countries.

resultsEleven COS development studies published between 1995 and 2017 were retrieved, of which 8 were classified as 'COS for clinical trials and clinical research', 2 as 'COS for practice' and 1 as 'COS patient reported outcomes'. Recommended outcomes were mainly categorized into 'mortality and survival' (17%), 'outcomes related to neoplasm' (18%), and 'renal and urinary outcomes' (13%) with no relevant differences among COS study types. The studies generally fulfilled the criteria for the COS-STAD 'scope specification' domain but not the 'stakeholders involved' and 'consensus process' domains. About 72% overlap existed between COS and linked administrative data sources, with important gaps. Linking with patient registries improved coverage (85%), but was sometimes limited to smaller follow-up patient groups.

conclusionsThis scoping review identified few COS development studies in prostate cancer, some quite dated and with a growing level of methodological quality over time. This study revealed promising overlap between COS and RWD sources, though with important limitations; linking established, national patient registries to administrative data provide the best means to additionally capture patient-reported and some clinical outcomes over time. Thus, increasing the combination of different data sources and the interoperability of systems to follow larger patient groups in RWD is required.

Indexed as

Research DesignEvidence-Based MedicineHumansMaleOutcome Assessment, Health CareProstatic NeoplasmsPublicationsSurvival AnalysisCore outcome measures in effectiveness trials (COMET)Core outcomes set (COS)MappingProstate cancerReal-world data (RWD)

Identifiers

PMID32103725
PMCPMC7045588
OpenAlexW3011185110

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.