Evidence mapPaperPMID 40248151Full record

SynthesisFrontiers in endocrinology2025

Association between waist-to-height ratio and insulin resistance in patients with polycystic ovary syndrome: a meta-analysis.

Yuxiang Lan, Chaohao Zhong, Dujin Li, Haobin Chen, Xu Dai

Abstract readMeta-Analysis
In one paragraph

Synthesis in Frontiers in endocrinology, 2025. 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. Article
  2. Article
  3. 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

5 authors.

Yuxiang LanFoshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Chaohao ZhongThe First Clinical College, Zunyi Medical University, Zunyi, Guizhou, China.
Dujin LiFoshan Clinical Medical School, Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Haobin ChenThe First Clinical College, Guangdong Medical University, Zhanjiang, Guangdong, China.
Xu DaiThe First Clinical College, Zunyi Medical University, Zunyi, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Insulin resistance (IR) is regarded as a significant role in the pathophysiology of Polycystic Ovary Syndrome (PCOS), hence early identification of IR in PCOS patients is crucial for their treatment. Recent researches indicate that Waist-to-Height Ratio (WHtR) differs in patients with PCOS accompanied by IR compared to those with PCOS alone; however, a consensus has yet to be reached. This research presents a meta-analysis of current data to propose a straightforward new index for diagnosing PCOS with insulin resistance. Objective: This study aims to assess the correlation between WHtR and insulin resistance in individuals with polycystic ovarian syndrome by meta-analysis and the synthesis of research information. This study will offer prognostic insights into the onset of insulin resistance in individuals with polycystic ovaries. Methods: This systematic review has finalized registration (CRD42025638798) on the PROSPERO platform. We conducted a search of prominent databases, including PubMed, Embase, Web of Science, The Cochrane Library, and performed manual searches. Observational studies of relevance (cohort, case-control, or cross-sectional) published before January 13, 2025, were considered. The methodological quality of case-control studies and cohort studies was evaluated using the NOS tool. Simultaneously, AHRQ criteria were employed to evaluate cross-sectional research. The study outcomes were reported as mean ± sd. The aggregated data was analyzed using StataMP17.0. Results: A meta-analysis encompassing nine studies with 3012 participants identified a significant correlation between an increased WHtR and the onset of insulin resistance in individuals with polycystic ovarian syndrome (SMD: 1.07, 95% CI: 0.81, 1.32, p = 0.000). Conclusion: Patients with PCOS and insulin resistance will exhibit a greater WHtR compared to those with PCOS without insulin resistance. Thus, the incidence of insulin resistance in patients with polycystic ovary syndrome can be anticipated by monitoring the WHtR. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42025638798, identifier CRD42025638798.

Indexed as

Insulin ResistancePolycystic Ovary SyndromeWaist-Height RatioFemaleHumansinsulin resistancemeta-analysisPCOSpolycystic ovary syndromewaist-to-height ratioWHtR

Identifiers

PMID40248151
PMCPMC12003136

What Socratic 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 Socratic graph.