Evidence map›Paper›PMID 37943373›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2024

Clinical validation of grouping conservative treatments in neck pain for use in a network meta-analysis: a Delphi consensus study.

Iqra Ishaq, Ian W Skinner, Poonam Mehta, David M Walton, Jasper Bier, Arianne P Verhagen

Open access · greenAbstract readConsensus Statement
PubMed Publisher
In one paragraph

Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 4 institutions in 3 countries.

Iqra IshaqGraduate School of Health, Discipline of Physiotherapy, University of Technology Sydney, 100 Broadway, Ultimo, 2007, Australia.
Ian W SkinnerSchool of Allied Health Exercise and Sports Sciences, Charles Sturt University, Port Macquarie, NSW, Australia.
Poonam MehtaGraduate School of Health, Discipline of Physiotherapy, University of Technology Sydney, 100 Broadway, Ultimo, 2007, Australia.
David M WaltonSchool of Physical Therapy, Western University, London, ON, Canada.
Jasper BierDepartment of General Practice, Erasmus MC, Rotterdam, The Netherlands.
Arianne P VerhagenGraduate School of Health, Discipline of Physiotherapy, University of Technology Sydney, 100 Broadway, Ultimo, 2007, Australia. arianne.verhagen@uts.edu.au.ORCID 0000-0002-6195-0128
University of Technology Sydney · AUCharles Sturt University · AUErasmus MC · NLWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA network meta-analysis aims to help clinicians make clinical decisions on the most effective treatment for a certain condition. Neck pain is multifactorial, with various classification systems and treatment options. Classifying patients and grouping interventions in clinically relevant treatment nodes for a NMA is essential, but this process is poorly defined.

objectiveOur aim is to obtain consensus among experts on neck pain classifications and the grouping of interventions into nodes for a future network meta-analysis.

designA Delphi consensus study involving neck pain experts worldwide.

methodsWe invited authors of neck pain clinical practice guidelines published from 2014 onwards. The Delphi baseline questionnaire was developed based on the findings of a scoping review, including four items on classifications and 19 nodes. Participants were asked to record their level of agreement on a seven-point Likert scale or using Yes/No/Not sure answer options for the various statements. We used descriptive analysis to summarise the responses on each statement with content analysis of the free-text comments.

resultsIn total, 18/80 experts (22.5%) agreed to participate in one or more Delphi rounds. We needed three rounds to reach consensus for two classification of neck pain: one based on aetiology and one on duration. In addition, we also reached consensus on the grouping of interventions, including a definition of each node, with the number of nodes reduced to 17.

conclusionWith this consensus we clinically validated two neck pain classifications and grouped conservative treatments into 17 well-defined and clinically relevant nodes.

Indexed as

Conservative TreatmentNeck PainDelphi TechniqueHumansSurveys and QuestionnairesTreatment OutcomeDelphi consensusNeck painNetwork meta-analysisNodes

Identifiers

PMID37943373
OpenAlexW4388536227

What OpenQuestion holds

Textmetadata
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.