Evidence map›Paper›PMID 26064254›Full record

ArticleInternational journal of clinical and experimental medicine2015

CYP1A1 genetic polymorphisms and uterine leiomyoma risk: a meta-analysis.

Fen Wang, Jiying Chen, Lin Wang, Yulan Ma, Niyazi Mayinuer

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Article in International journal of clinical and experimental medicine, 2015. 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
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Fen WangDepartment of Gynecology, The Peoples' Hospital of Xinjiang Urumqi 830001, China.
Jiying ChenDepartment of Gynecology, The Peoples' Hospital of Xinjiang Urumqi 830001, China.
Lin WangDepartment of Gynecology, The Peoples' Hospital of Xinjiang Urumqi 830001, China.
Yulan MaDepartment of Gynecology, The Peoples' Hospital of Xinjiang Urumqi 830001, China.
Niyazi MayinuerDepartment of Gynecology, The Peoples' Hospital of Xinjiang Urumqi 830001, China.
Urumqi 4th People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSome studies assessed the association between CYP1A1 MspI and Ile462Val polymorphisms and uterine leiomyoma (UL) risk. However, the results were controversial. We did this meta-analysis to determine the association between CYP1A1 MspI and Ile462Val polymorphisms and UL risk. MATERIALS AND

methodsWe searched databases containing PubMed, Springer Link, EMBASE, Chinese National Knowledge Infrastructure (CNKI) up to 11 October 2014. Pooled ORs and 95% CIs were used to assess the strength of the associations.

resultsIn total, 9 case-control studies with 2157 UL cases and 2197 healthy controls were included in this meta-analysis. CYP1A1 Ile462Val polymorphism was significantly associated with UL risk (OR = 2.29, 95% CI 1.75-2.99, P < 0.00001). In the subgroup analysis by race, significantly increased risks were found in the Asians (OR = 2.76, 95% CI 1.86-4.09, P < 0.00001) and Caucasians (OR = 1.87, 95% CI 1.30-2.68, P = 0.0007). However, MspI polymorphism was not significantly associated with UL risk (OR = 1.15, 95% CI 0.90-1.47, P = 0.27). In the subgroup analysis by race, no significant association was found in the Asians (OR = 1.15, 95% CI 0.86-1.54, P = 0.35).

conclusionIn summary, the results of the meta-analysis suggested that CYP1A1 Ile462Val polymorphism was significantly associated with UL risk.

Indexed as

CYP1A1Meta-analysispolymorphismuterine leiomyoma

Identifiers

PMID26064254
PMCPMC4443088
OpenAlexW2340408005

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.