Evidence map›Paper›PMID 40380271›Full record

ReviewDiabetology & metabolic syndrome2025

Prevalence of metabolic syndrome in ankylosing spondylitis: a multi national meta-analysis study.

Sandeep Samethadka Nayak, Kwame Boateng Agyeman, Khushbu Viresh Janani, Maryam Jafari, Mohammad Amouzadeh Lichahi, Pubali Biswas, Mohammad Hashemi, Nimra Shafi, Yasmin Sahli, Ehsan Amini-Salehi and 1 more

Abstract readReview
In one paragraph

Review in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

11 authors.

Sandeep Samethadka NayakDivision of Hospital Medicine, Department of Internal Medicine, Yale New Heaven Health| Bridgeport Hospital, 267 Grant St, 06611, Bridgeport CT,, USA.
Kwame Boateng AgyemanDivision of General Medicine, Department of Medicine, Loma Linda University Health, 11234 Anderson St, Loma Linda, CA,, USA.
Khushbu Viresh JananiDepartment of Internal Medicine, Soundview Medical Associates, Hartford Healthcare, Wilton , CT, USA.
Maryam JafariStudent Research Committee, Anzali International Campus, Guilan University of Medical Sciences, Rasht, Iran.
Mohammad Amouzadeh LichahiStudent Research Committee, Anzali International Campus, Guilan University of Medical Sciences, Rasht, Iran.
Pubali BiswasVydehi Institute of Medical Sciences and Research Centre, Nallurahalli Main Road, Whitefield, Bengaluru, Karnataka, India.
Mohammad HashemiCardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Nimra ShafiDepartment of Medicine, Arnot Ogden Medical Center, Elmira, NY, USA.
Yasmin SahliYale New Haven Hospital, 20 York St, New Haven, CT, 06510, USA.
Ehsan Amini-SalehiSchool of Medicine, Guilan University of Medical Sciences, Rasht, Iran. ehsanaminisalehi1998@gmail.com.
Narsimha Rao KeethaOhio Kidney and Hypertension Center, Old Oak Blvd, Ste C111 Middleburg Hts, Cincinnati, OH, 44130, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnkylosing spondylitis (AS) is a chronic inflammatory disease associated with an increased risk of metabolic syndrome (MetS), a cluster of cardiometabolic risk factors. However, the prevalence of MetS in AS remains uncertain. This meta-analysis estimates the global prevalence of MetS in AS patients and identifies factors contributing to its variability.

methodsA systematic search of PubMed, Scopus, Embase, and Web of Science was conducted for studies published up to January 18, 2024. A random-effects model was used to estimate pooled prevalence, while meta-regression and subgroup analyses explored sources of heterogeneity.

resultsSeventeen studies meeting the eligibility criteria were included. The pooled prevalence of MetS in AS patients was 15.5% (95% confidence interval [CI]: 10.9-20.8%). The highest prevalence was reported in Africa (37.0%) and the lowest in Asia (8.0%). Variability in AS diagnostic criteria influenced prevalence estimates, with the highest MetS rates found in studies using the Assessment of SpondyloArthritis International Society (ASAS) criteria (37.0%). Meta-regression identified significant associations between MetS prevalence and older age (β = 0.04, P < 0.01), higher body mass index (β = 0.09, P < 0.01), triglyceride levels (β = 0.01, P < 0.01), waist circumference (β = 0.03, P < 0.01), diastolic blood pressure (β = 0.04, P = 0.02) and disease activity, measured by the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) (β = 0.03, P = 0.02). Erythrocyte sedimentation rate was significantly correlated with MetS prevalence (β = 0.01, P = 0.04), while C-reactive protein was not (β = -0.01, P = 0.12).

conclusionMetS is a prevalent comorbidity in AS, significantly influenced by inflammation, obesity, and disease activity. Given its strong association with cardiovascular risk, routine metabolic screening should be incorporated into AS management. Clinicians should adopt an integrated approach that includes lifestyle modifications, targeted therapies, and careful cardiovascular risk assessment to mitigate long-term complications. Standardized diagnostic criteria for MetS in AS are needed to improve risk stratification and patient outcomes.

Indexed as

Ankylosing spondylitisCardiovascular riskInflammationMetabolic syndromeObesityPrevalence

Identifiers

PMID40380271
PMCPMC12082907

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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.