Evidence map›Paper›PMID 41048970›Full record

ArticleFrontiers in medicine2025

The predictive value of serum MHR combined with classical metabolic syndrome components in the first trimester for gestational metabolic syndrome: a prospective cohort study in China.

Sixu Xin, Linong Ji, Xiaomei Zhang, Yuehan Ma, Xin Zhao, Ning Yuan, Jianbin Sun, Dan Zhao

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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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

8 authors.

Sixu XinDepartment of Endocrinology, Peking University People's Hospital, Beijing, China.
Linong JiDepartment of Endocrinology, Peking University People's Hospital, Beijing, China.
Xiaomei ZhangDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Yuehan MaDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Xin ZhaoDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Ning YuanDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Jianbin SunDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Dan ZhaoDepartment of Endocrinology, Peking University International Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of the study was to investigate the relationship between inflammatory markers, the serum monocyte-to-high-density lipoprotein cholesterol ratio (MHR) in the first trimester, and gestational metabolic syndrome (GMS), and to identify the risk factors for GMS in early pregnancy and its predictive value. Methods: This prospective cohort study included 1,410 pregnant women at gestational ages of 7-12 weeks. Pregnant women underwent regular prenatal examinations. Basic information and clinical data of pregnant women were collected. Univariate analysis was performed to identify factors associated with GMS. Variables with a Results: Univariate analysis revealed that age, a history of adverse pregnancy outcomes (APOs), body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL), white blood cell (WBC) counts, monocyte (MONO) levels, and the MHR in early pregnancy were associated with GMS ( Conclusion: This study has confirmed the predictive value of serum MHR combined with classical MS components in the first trimester for identifying GMS, which could lead to better and earlier identification of GMS patients and provide new ideas for early diagnosis and prevention of GMS.

Indexed as

gestational metabolic syndromeinflammationmetabolic syndromemonocyte to high-density lipoprotein cholesterol ratiopregnancy

Identifiers

PMID41048970
PMCPMC12491189

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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.