Evidence map›Paper›PMID 40415696›Full record

SynthesisChronic respiratory disease

The prevalence of metabolic syndrome in chronic obstructive pulmonary disease: A systematic review and meta-analysis.

Hassan Alrabbaie, Mohammad Al-Wardat, Mohammad Etoom, Marla Beauchamp, Roger Goldstein, Dina Brooks

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Chronic respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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.

Hassan AlrabbaieSchool of Rehabilitation Sciences, Faculty of Health Science, McMaster University, Hamilton, ON, Canada.ORCID 0009-0006-2584-8376
Mohammad Al-WardatDepartment of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Mohammad EtoomDepartment of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan.
Marla BeauchampSchool of Rehabilitation Sciences, Faculty of Health Science, McMaster University, Hamilton, ON, Canada.ORCID 0000-0003-2843-388X
Roger GoldsteinDepartment of Respiratory Medicine, West Park Healthcare Centre, Toronto, Canada.
Dina BrooksSchool of Rehabilitation Sciences, Faculty of Health Science, McMaster University, Hamilton, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveMetabolic syndrome (MetS) is a cluster of factors that increase the risk of cardiovascular disease and type 2 diabetes. It is highly prevalent among patients with Chronic Obstructive Pulmonary Disease (COPD). This systematic review and meta-analysis assessed MetS prevalence in COPD patients, focusing on variations by gender, diagnostic criteria, and disease severity.MethodsWe systematically searched MEDLINE, Embase, Scopus, and CINAHL. Two reviewers independently extracted data using a standardized form, and study quality was assessed with the Joanna Briggs Institute checklist. Prevalence rates, with 95% confidence intervals (CI), were calculated using a random-effects model. Subgroup analyses by sex, COPD severity, and MetS components were conducted.ResultsForty-two studies, including 54,278 COPD patients, were analyzed. Overall, the prevalence of MetS was 37% (95% CI: 30.6-43.8%; I

Indexed as

Metabolic SyndromePulmonary Disease, Chronic ObstructiveFemaleHumansMalePrevalenceRisk FactorsSeverity of Illness IndexSex FactorsCOPDdiagnostic criteriaGOLD stagesmetabolic syndromeprevalence

Identifiers

PMID40415696
PMCPMC12106998

What OpenQuestion holds

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LicenceCC BY
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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.