Evidence map›Paper›PMID 34996442›Full record

ArticleBMC women's health2022

The relationship between genetic variants associated with primary ovarian insufficiency and lipid profile in women recruited from MASHAD cohort study.

Mohammad Reza Mirinezhad, Hamideh Ghazizadeh, Maliheh Aghsizadeh, Mohammad Zamiri Bidary, Alireza Naghipour, Elahe Hasanzadeh, Mahdiyeh Yaghooti-Khorasani, Ali Ebrahimi Dabagh, Mohammad Reza Shadmand Foumani Moghadam, Nazanin Sheikh Andalibi and 6 more

Open access · goldAbstract read
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In one paragraph

Article in BMC women's health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

16 authors at 4 institutions in 2 countries.

Mohammad Reza Mirinezhad *Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Hamideh Ghazizadeh *International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Metabolic Syndrome Research Center, 99199-91766, Mashhad, Iran.
Maliheh Aghsizadeh *International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Metabolic Syndrome Research Center, 99199-91766, Mashhad, Iran.
Mohammad Zamiri BidaryStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Alireza NaghipourStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Elahe HasanzadehStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahdiyeh Yaghooti-KhorasaniStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Ali Ebrahimi DabaghDepartment of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran.
Mohammad Reza Shadmand Foumani MoghadamDepartment of Nutrition Sciences, Varastegan Institute for Medical Sciences, Mashhad, Iran.
Nazanin Sheikh AndalibiStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Zeynab Naseri FarStudent Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Habibollah EsmailySocial Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Gordon A FernsDivision of Medical Education, Brighton and Sussex Medical School, Falmer, Brighton, BN1 9PH, Sussex, UK.
Tayebeh HamzehloeiDepartment of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Alireza Pasdar *Department of Medical Genetics and Molecular Medicine, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. PasdarA@mums.ac.ir.
Majid Ghayour-Mobarhan *International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Metabolic Syndrome Research Center, 99199-91766, Mashhad, Iran. ghayourm@mums.ac.ir.
Mashhad University of Medical Sciences · IRBrighton and Sussex Medical School · GBUniversity of Aberdeen · GBVarastegan Institute for Medical Sciences

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimPrimary Ovarian Insufficiency (POI) is defined by the occurrence of menopause before the age of 40 years. It is often associated with cardiovascular disease (CVD). The purpose of this study was to explore the relationship between POI-associated genotypes cardiometabolic disorder risk factors.

methodsOne hundred seventeen women with POI and one hundred eighty-three healthy women without POI were recruited in this study. DNA was extracted and analyzed using ASO-PCR or Tetra ARMS-PCR. Lipid profiles were also assessed.

resultsMultivariate logistic regression analysis showed that individuals with GG vs. TT genotype of the rs1046089 SNP were more likely to have a higher serum LDL (p = 0.03) compared to the control group. There was also a significant association between low serum HDL and rs2303369 and rs4806660 SNP genotypes in the POI group. In the POI group, the percentage of those with high total cholesterol was lower in those with a CC genotype compared to those with a TT genotype (p = 0.03).

conclusionSome SNPs reported to be associated with POI appear to be independently associated with dyslipidemia. These results may be helpful to identify subjects with POI who may be susceptible to CVD.

Indexed as

Cardiovascular DiseasesPrimary Ovarian InsufficiencyAdultCohort StudiesFemaleHumansLipidsPolymorphism, Single NucleotideLipidsARMS-PCRASO-PCRCardiovascular diseasePrimary Ovarian Insufficiency

Identifiers

PMID34996442
PMCPMC8742392
OpenAlexW4206683505

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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.