Evidence map›Paper›PMID 42983636›Full record

SynthesisBMC cardiovascular disorders2026

Association of MTHFR C677T polymorphism with risk of atherosclerotic cardiovascular diseases: a systematic review and meta-analysis.

Kai Yang, Aihua Huang, Xiaolin Wang, Yidan Zhou

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC cardiovascular disorders, 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

4 authors.

Kai YangDepartment of Emergency Medicine, Hangzhou Third People's Hospital, 38 Xihu Avenue, Shangcheng District, Hangzhou, 310009, China.
Aihua HuangDepartment of Emergency Medicine, Hangzhou Third People's Hospital, 38 Xihu Avenue, Shangcheng District, Hangzhou, 310009, China.
Xiaolin WangDepartment of Emergency Medicine, Hangzhou Third People's Hospital, 38 Xihu Avenue, Shangcheng District, Hangzhou, 310009, China.
Yidan ZhouDepartment of Emergency Medicine, Hangzhou Third People's Hospital, 38 Xihu Avenue, Shangcheng District, Hangzhou, 310009, China. ssyyjznk@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough several meta-analyses have examined the association between MTHFR C677T and specific cardiovascular outcomes, a comprehensive evaluation focusing on atherosclerotic cardiovascular disease (ASCVD) as a unified outcome, incorporating recently published studies (January 2016-March 2026), remains limited.

methodsPotential studies were selected from Embase, Web of Science, and PubMed databases. Pooled effect size was evaluated by odds ratios (ORs) with 95% confidence intervals (CIs) using random-effects models where significant heterogeneity was present.

resultsTwenty-three case-control studies (including 6693 patients and 7692 controls) from January 2016 to March 2026 were enrolled in this study. Significant heterogeneity was observed across models (I² > 50%, all p

conclusionsMTHFR C677T was positively correlated with ASCVD risk across multiple genetic models.

Indexed as

AtherosclerosisMethylenetetrahydrofolate Reductase (NADPH2)Polymorphism, GeneticPolymorphism, Single NucleotideChi-Square DistributionEast Asian PeopleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHumansNorth African PeopleOdds RatioPhenotypeRisk AssessmentRisk FactorsMethylenetetrahydrofolate Reductase (NADPH2)MTHFR protein, humanAtherosclerotic cardiovascular diseasesMeta-analysisMTHFR C677TPolymorphism

Identifiers

PMID42983636
PMCPMC13733098

What OpenQuestion 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 OpenQuestion graph.