Evidence map›Paper›PMID 34695139›Full record

SynthesisPloS one2021

The accuracy of diagnostic indicators for coeliac disease: A systematic review and meta-analysis.

Martha M C Elwenspoek, Joni Jackson, Rachel O'Donnell, Anthony Sinobas, Sarah Dawson, Hazel Everitt, Peter Gillett, Alastair D Hay, Deborah L Lane, Susan Mallett and 4 more

Open access · goldAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Article
  8. Pancreatic involvement in celiac disease.World journal of gastroenterology · 2022
    Review
  9. 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

14 authors at 6 institutions in 1 country.

Martha M C ElwenspoekThe National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom.ORCID 0000-0002-9824-9335
Joni JacksonThe National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom.ORCID 0000-0003-2591-7395
Rachel O'DonnellPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-4354-8135
Anthony SinobasBristol Medical School, University of Bristol, Bristol, United Kingdom.
Sarah DawsonThe National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol NHS Foundation Trust, Bristol, United Kingdom.ORCID 0000-0002-6682-063X
Hazel EverittPrimary Care Research Centre, University of Southampton, Southampton, United Kingdom.ORCID 0000-0001-7362-8403
Peter GillettPaediatric Gastroenterology, Hepatology and Nutrition Department, Royal Hospital for Sick Children, Edinburgh, Scotland, United Kingdom.ORCID 0000-0003-2294-4478
Alastair D HayPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-3012-375X
Deborah L LanePatient representative, Cambridge, United Kingdom.
Susan MallettCentre for Medical Imaging, University College London, London, United Kingdom.ORCID 0000-0002-0596-8200
Gerry RobinsDepartment of Gastroenterology, York Teaching Hospital NHS Foundation Trust, York, United Kingdom.ORCID 0000-0002-7249-4412
Jessica C WatsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-8177-6438
Hayley E JonesPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-4265-2854
Penny WhitingPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-1138-5682
University of Bristol · GBUniversity Hospitals Bristol NHS Foundation Trust · GBNIHR Southampton Biomedical Research Centre · GBRoyal Hospital for Sick Children · GBUniversity College London · GBYork Teaching Hospital NHS Foundation Trust · GB

Funding

Department of HealthMedical Research Council MR/M014533/1Medical Research Council MR/T044594/1
6 · The paper itself

Abstract

backgroundThe prevalence of coeliac disease (CD) is around 1%, but diagnosis is challenged by varied presentation and non-specific symptoms and signs. This study aimed to identify diagnostic indicators that may help identify patients at a higher risk of CD in whom further testing is warranted.

methodsInternational guidance for systematic review methods were followed and the review was registered at PROSPERO (CRD42020170766). Six databases were searched until April 2021. Studies investigating diagnostic indicators, such as symptoms or risk conditions, in people with and without CD were eligible for inclusion. Risk of bias was assessed using the QUADAS-2 tool. Summary sensitivity, specificity, and positive predictive values were estimated for each diagnostic indicator by fitting bivariate random effects meta-analyses.

findings191 studies reporting on 26 diagnostic indicators were included in the meta-analyses. We found large variation in diagnostic accuracy estimates between studies and most studies were at high risk of bias. We found strong evidence that people with dermatitis herpetiformis, migraine, family history of CD, HLA DQ2/8 risk genotype, anaemia, type 1 diabetes, osteoporosis, or chronic liver disease are more likely than the general population to have CD. Symptoms, psoriasis, epilepsy, inflammatory bowel disease, systemic lupus erythematosus, fractures, type 2 diabetes, and multiple sclerosis showed poor diagnostic ability. A sensitivity analysis revealed a 3-fold higher risk of CD in first-degree relatives of CD patients.

conclusionsTargeted testing of individuals with dermatitis herpetiformis, migraine, family history of CD, HLA DQ2/8 risk genotype, anaemia, type 1 diabetes, osteoporosis, or chronic liver disease could improve case-finding for CD, therefore expediting appropriate treatment and reducing adverse consequences. Migraine and chronic liver disease are not yet included as a risk factor in all CD guidelines, but it may be appropriate for these to be added. Future research should establish the diagnostic value of combining indicators.

Indexed as

Celiac DiseaseHumansSensitivity and Specificity

Identifiers

PMID34695139
PMCPMC8545431
OpenAlexW3208184199

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.