Evidence map›Paper›PMID 37006879›Full record

ArticleExperimental and therapeutic medicine2023

Association of microRNA gene polymorphisms with recurrent spontaneous abortion: An updated meta‑analysis.

Xueqin Wang, Yan Xing, Yongyong Wang, Zhaoxia Du, Chang Zhang, Jing Gao

Open access · diamondAbstract read
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Article in Experimental and therapeutic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Xueqin WangDepartment of Reproductive Medicine, Qingdao Municipal Hospital, Qingdao, Shandong 266071, P.R. China.
Yan XingDepartment of Reproductive Medicine, Qingdao Municipal Hospital, Qingdao, Shandong 266071, P.R. China.
Yongyong WangDepartment of Reproductive Medicine, Qingdao Municipal Hospital, Qingdao, Shandong 266071, P.R. China.
Zhaoxia DuDepartment of Reproductive Medicine, Qingdao Municipal Hospital, Qingdao, Shandong 266071, P.R. China.
Chang ZhangDepartment of Reproductive Medicine, Qingdao Municipal Hospital, Qingdao, Shandong 266071, P.R. China.
Jing GaoDepartment of Reproductive Medicine, The Affiliated Hospital of Qingdao University, Qingdao, Shandong 266003, P.R. China.
Qingdao Municipal Hospital · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous studies have reported single nucleotide polymorphisms (SNPs) in microRNAs (miRNAs) associated with unexplained recurrent spontaneous abortion (URSA). The present study aimed to conduct an updated meta-analysis to confirm a pooled effect size of the association between miRNA SNPs and URSA. The relevant literature was searched on PubMed, EMBASE, Web of Science and Cochrane Library before July 2022 to identify case-control studies. The pooled odds ratio and confidence intervals at 95% of the eligible studies were extracted and evaluated under five genetic models. A total of 18 studies involving 3,850 cases and 4,312 controls were included. miR499a rs3746444 A>G, miR-149 rs2292832 T>C, miR-125a rs41275794 G>A and miR-10a rs3809783 A>T may enhance the risk of recurrent spontaneous abortion (RSA) under various genetic models. Although no separate association was found between the miR-125a rs12976445 C>T and miR-27a rs895819 A>G polymorphisms and RSA, statistical significance was found in certain ethnic groups only. The current analysis suggests a high significance of an up-to-date meta-analysis for screening out and preventing URSA among high-risk women by testing miRNA SNPs and RSA susceptibility.

Indexed as

meta-analysismicroRNArecurrent spontaneous abortionsingle nucleotide polymorphisms

Identifiers

PMID37006879
PMCPMC10061040
OpenAlexW4323840421

What OpenQuestion holds

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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.