Evidence map›Paper›PMID 42293231›Full record

SynthesisFrontiers in nutrition2026

Association of metabolic score for insulin resistance with gestational diabetes mellitus: a systematic review and meta-analysis.

Bo Dai, Peng Zhang, Haijiao Wang, Jian Sun, Ye Zhang, Yang Xiao, Shilin Liu, Haoru Cong, Yutong Li, Xiangman He and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Bo DaiChangchun University of Chinese Medicine, Changchun, China.
Peng ZhangChangchun University of Chinese Medicine, Changchun, China.
Haijiao WangChangchun University of Chinese Medicine, Changchun, China.
Jian SunChangchun University of Chinese Medicine, Changchun, China.
Ye ZhangChangchun University of Chinese Medicine, Changchun, China.
Yang XiaoChangchun University of Chinese Medicine, Changchun, China.
Shilin LiuChangchun University of Chinese Medicine, Changchun, China.
Haoru CongChangchun University of Chinese Medicine, Changchun, China.
Yutong LiChangchun University of Chinese Medicine, Changchun, China.
Xiangman HeChangchun University of Chinese Medicine, Changchun, China.
Tan WangChangchun University of Chinese Medicine, Changchun, China.
Zheng NanChangchun University of Chinese Medicine, Changchun, China.
Le LiuChangchun University of Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to systematically evaluate the association between the Metabolic Score for Insulin Resistance (METS-IR) and the risk of gestational diabetes mellitus (GDM). Methods: A systematic search was conducted in PubMed, Embase, Web of Science, and the Cochrane Library up to March 2026. Two independent reviewers completed study screening, data extraction, and quality assessment. Cohort studies were evaluated with the Newcastle-Ottawa Scale, and cross-sectional studies were assessed with the Agency for Healthcare Research and Quality checklist. Meta-analyses were performed using Stata 16.0 and Review Manager 5.4.1. Heterogeneity was examined using the Cochrane Q-test and I Results: A total of 6 studies involving 93,995 pregnant women were included. The overall pooled odds ratio (OR) for GDM risk in the highest versus lowest METS-IR category was 2.53 (95% CI: 2.14-3.00, I Conclusion: Elevated METS-IR is significantly associated with increased GDM risk. As a noninvasive and cost-effective insulin resistance marker, METS-IR may serve as a reliable early predictor for GDM and support early screening in high-risk pregnant women. Further large-scale, multi-ethnic prospective studies are needed to validate these findings. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420261355910, CRD420261355910.

Indexed as

gestational diabetes mellitusmeta-analysisMETS-IRrisk factorsystematic review

Identifiers

PMID42293231
PMCPMC13254273

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.