Evidence map›Paper›PMID 39261370›Full record

SynthesisRheumatology international2024

Diabetes in axial spondyloarthritis: a systematic review and meta-analysis of observational studies.

Leher Gumber, Harini Samarasinghe, Praveen Gladston, Arumugam Moorthy

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Rheumatology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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. Review
  2. Article
  3. 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

4 authors.

Leher GumberTranslational and Clinical Research Institute, Newcastle University, Newcastle-upon- Tyne, UK.ORCID 0000-0003-0154-1207
Harini SamarasingheUniversity Hospitals of Northampton NHS trust, Northampton, UK.ORCID 0009-0006-9636-4029
Praveen GladstonWirral University Teaching Hospital NHS Foundation Trust, Wirral, UK.ORCID 0009-0001-0592-0987
Arumugam MoorthyDepartment of Rheumatology, University Hospitals of Leicester NHS Trust, Leicester, UK. arumugam.moorthy@uhl-tr.nhs.uk.ORCID 0000-0001-5903-1125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axial spondyloarthritis (axSpA) is a chronic inflammatory condition with an increased risk of cardiovascular disease (CVD). Diabetes is a well-established risk factor for CVD and stroke. The objective of this study was to conduct a systematic review to: (i) identify the prevalence of diabetes in axSpA and (ii) compare the risk of diabetes in patients with axSpA and without. A comprehensive literature search was performed for articles published between 1 January 2000 and 15 November 2023 using Medline, Embase and Scopus (PROSPERO: CRD42023482573). Observational studies reporting prevalence, incidence or risk of diabetes in axSpA were included. Search results were independently screened by at least two reviewers. Quality of included studies were assessed using the JBI critical appraisal tool. Study-specific proportions and odds ratios (OR) were combined in a random-effects meta-analysis. 2257 articles were identified from database searching from which 23 studies were included for analysis amounting to a combined sample size of 65 025 patients. The pooled prevalence of diabetes in people with axSpA was 7.0% (95% CI 5.9-8.0%; predictive interval 2.4-12.9%; p < 0.001). The funnel plot was symmetric suggesting no small-study effects (I

Indexed as

Axial SpondyloarthritisDiabetes MellitusHumansObservational Studies as TopicPrevalenceRisk FactorsAxial spondyloarthritisDiabetesEpidemiologyMedical research

Identifiers

PMID39261370
PMCPMC11424650

What OpenQuestion holds

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Registered trials

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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.