Evidence map›Paper›PMID 42238244›Full record

ReviewFrontiers in endocrinology2026

Homocysteine combined with multi-index screening for pregnancy complications: a narrative review.

Chunli An, Yan Tang, Chunli Yin, Min Wang, Guihua Zuo

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 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

5 authors.

Chunli AnDepartment of Obstetrics, Anyue Maternal and Child Health Hospital, Ziyang, China.
Yan TangDepartment of Obstetrics, Anyue Maternal and Child Health Hospital, Ziyang, China.
Chunli YinDepartment of Obstetrics, Anyue Maternal and Child Health Hospital, Ziyang, China.
Min WangDepartment of Obstetrics, Anyue Maternal and Child Health Hospital, Ziyang, China.
Guihua ZuoDepartment of Obstetrics, Anyue Maternal and Child Health Hospital, Ziyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Employing a narrative review approach, this article examines the value of combining homocysteine (Hcy) with multiple indicators for screening pregnancy complications. Hcy serves as a key biomarker in one-carbon metabolism and vascular endothelial function. Elevated Hcy levels are significantly correlated with adverse pregnancy outcomes, including preeclampsia (PE), fetal growth restriction (FGR), gestational diabetes mellitus (GDM), and intrahepatic cholestasis of pregnancy (ICP). Hcy levels are influenced by nutritional factors (folate, vitamin B12) and genetic factors (MTHFR polymorphisms). However, the predictive power of Hcy alone is limited due to variations in gestational age, ethnicity, nutritional status and genetic background. Recent studies have therefore explored combined screening strategies: Hcy together with platelet parameters helps differentiate the risk of ICP from that of GDM; adding uterine artery (UtA) Doppler ultrasonography improves the diagnostic sensitivity for detecting PE and FGR; integrating glycolipid metabolic markers (Glycosylated Serum Protein, Cystatin-C, apoB/apoA1) provides additional predictive value for adverse outcomes in GDM. Positioning Hcy as a functional endpoint of gene-nutrient interactions and combining it with nutritional and genetic assessments may facilitate early warning of pregnancy complications and enable individualized intervention.

Indexed as

BiomarkersHomocysteinePregnancy ComplicationsFemaleHumansPregnancyBiomarkersHomocysteinehomocysteinemulti-marker screeningone-carbon metabolismpregnancy complicationsrisk assessment

Identifiers

PMID42238244
PMCPMC13226106

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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.