Evidence map›Paper›PMID 32803202›Full record

ArticleInternational journal of reproductive biomedicine2020

Investigating the rate of different ovarian response in in vitro fertilization cycles based on estrogen receptor beta +1730 polymorphism: A cross-sectional study.

Elham Parsa, Seyed Mehdi Hoseini, Seyedeh Mahdieh Namayandeh, Zhima Akhavansales, Mohammad Hasan Sheikhha

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of reproductive biomedicine, 2020. 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
0.4field-weighted citation impact, top 33% 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, 2 citations in OpenAlex.

  1. Evaluation of theInternational journal of reproductive biomedicine · 2022
    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

5 authors at 2 institutions in 1 country.

Elham ParsaMedical Biotechnology Research Center, Ashkezar Branch, Islamic Azad University, Ashkezar, Yazd, Iran.
Seyed Mehdi HoseiniBiotechnology Research Center, International Campus, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Seyedeh Mahdieh NamayandehAfshar Research and Development Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Zhima AkhavansalesBiotechnology Research Center, International Campus, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Mohammad Hasan SheikhhaBiotechnology Research Center, International Campus, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Biotechnology Research Center · IRShahid Sadoughi University of Medical Sciences and Health Services · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe response to ovarian stimulation is different among women referring for assisted reproductive techniques. This difference could be due to different genotypes in genes related to reproduction such as estrogen receptor beta (

objectiveIn the present study, we explored the rate of MATERIALS AND

methodsA cross-sectional study was performed among 91 infertile women. The relationship between genotype distribution of the +1730 G/A polymorphism in the

resultsGenotypes GG, GA, and AA of the

conclusionAccording to the endocrine and paracrine factors which are involved in the ovulation induction and maturation of oocytes, more studies with higher number of participants are required to confirm the results of the present study; in addition, further studies are required to find out other gene polymorphisms affecting estrogen receptor efficacy in the infertile women.

Indexed as

Estrogen receptor geneGeneInfertility.Polymorphism

Identifiers

PMID32803202
PMCPMC7385910
OpenAlexW3044836066

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.