Evidence map›Paper›PMID 33971941›Full record

ArticleTrials2021

Protocol for the development of a core outcome set for lateral elbow tendinopathy (COS-LET).

Marcus Bateman, Jonathan P Evans, Viana Vuvan, Val Jones, Adam C Watts, Joideep Phadnis, Leanne Bisset, Bill Vicenzino

Open access · goldAbstract read
In one paragraph

Article in Trials, 2021. 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.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

8 authors at 7 institutions in 2 countries.

Marcus Bateman *Derby Shoulder Unit, Royal Derby Hospital, University Hospitals of Derby & Burton NHS Foundation Trust, Uttoxeter Road, Derby, UK. marcus.bateman@nhs.net.ORCID http://orcid.org/0000-0002-3203-506X
Jonathan P Evans *Health Services and Policy Research, Smeall Building, JS03, St Lukes Campus, Exeter, UK.
Viana VuvanSchool of Health and Rehabilitation Sciences: Physiotherapy, The University of Queensland, St Lucia, Brisbane, Australia.
Val JonesSheffield Shoulder and Elbow Unit, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Adam C WattsWrightington, Wigan and Leigh Teaching Hospitals NHS Foundation Trust, Wrightington Hospital, Hill Lane, Wigan, UK.
Joideep PhadnisUniversity Hospitals Sussex NHS Foundation Trust, Royal Sussex County Hospital, Eastern Road, Brighton, UK.
Leanne BissetMenzies Health Institute Queensland, Griffith University, Gold Coast, Australia.
Bill VicenzinoSchool of Health and Rehabilitation Sciences: Physiotherapy, The University of Queensland, St Lucia, Brisbane, Australia.
The University of Queensland · AUBrighton and Sussex Medical School · GBGriffith University · AURoyal Derby Hospital · GBSheffield Teaching Hospitals NHS Foundation Trust · GBUniversity of Exeter · GBWrightington, Wigan and Leigh NHS Foundation Trust · GB

Funding

University Hospitals of Derby & Burton NHS Foundation Trust Charity TI210253
6 · The paper itself

Abstract

backgroundLateral elbow tendinopathy (LET) is a common condition that can cause significant disability and associated socioeconomic cost. Although it has been widely researched, outcome measures are highly variable which restricts evidence synthesis across studies. In 2019, a working group of international experts, health care professionals and patients, in the field of tendinopathy (International Scientific Tendinopathy Symposium Consensus (ICON) Group), published the results of a consensus exercise defining the nine core domains that should be measured in tendinopathy research. The aim of this study is to develop a core outcome set (COS) for LET mapping to these core domains. The primary output will provide a template for future outcome evaluation of LET. In this protocol, we detail the methodological approach to the COS-LET development.

methodsThis study will employ a three-phase approach. (1) A systematic review of studies investigating LET will produce a comprehensive list of all instruments currently employed to quantify the treatment effect or outcome. (2) Instruments will be matched to the list of nine core tendinopathy outcome domains by a Steering Committee of clinicians and researchers with a specialist interest in LET resulting in a set of candidate instruments. (3) An international three-stage Delphi study will be conducted involving experienced clinicians, researchers and patients. Within this Delphi study, candidate instruments will be selected based upon screening using the Outcome Measures in Rheumatology (OMERACT) truth, feasibility and discrimination filters with a threshold of 70% agreement set for consensus.

conclusionsThere is currently no COS for the measurement or monitoring of LET in trials or clinical practice. The output from this project will be a minimum COS recommended for use in all future English language studies related to LET. The findings will be published in a high-quality journal and disseminated widely using professional networks, social media and via presentation at international conferences.

trial registrationRegistered with the Core Outcome Measures in Effectiveness Trials (COMET) database, November 2019. https://www.comet-initiative.org/Studies/Details/1497 .

Indexed as

Elbow TendinopathyTendinopathyDelphi TechniqueEndpoint DeterminationHumansOutcome Assessment, Health CareResearch DesignSystematic Reviews as TopicTreatment OutcomeCore outcome setLateral elbow tendinopathyTennis elbow

Identifiers

PMID33971941
PMCPMC8111763
OpenAlexW3136662351

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.