Evidence map›Paper›PMID 42248903›Full record

SynthesisScientific reports2026

Effect of ESR1 and ESR2 polymorphisms on ovarian response in assisted reproductive technology cycles: a systematic review and meta-analysis.

Khan Zahara Fathima, Vani Lakshmi R, Stella Irungu, Aditi Gupta, Vijay Shree Dhyani, Prashanth Adiga, Srabani Mukherjee, Satish Kumar Adiga, Shubhashree Uppangala

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

9 authors.

Khan Zahara Fathima *Division of Reproductive Genetics, Department of Reproductive Science, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Vani Lakshmi R *Centre for Digital Health, Applied Research and Technology, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Stella IrunguDepartment of Reproductive Health and Biology, Institute of Primate Research, Nairobi, Kenya.
Aditi GuptaDivision of Reproductive Genetics, Department of Reproductive Science, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Vijay Shree DhyaniKasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Prashanth AdigaDepartment of Reproductive Medicine and Surgery, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Srabani MukherjeeDepartment of Molecular Endocrinology, National Institute for Research in Reproductive Health, Indian Council of Medical Research, Mumbai, Maharashtra, India.
Satish Kumar AdigaCentre of Excellence in Clinical Embryology, Department of Reproductive Science, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Shubhashree UppangalaDivision of Reproductive Genetics, Department of Reproductive Science, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India. shubha.u@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic factors contribute to poor ovarian response (POR) in assisted reproductive technology cycles, with estrogen receptor gene polymorphisms (ESR1 and ESR2) being explored as a causative factor in many studies. However, there is no systematic review and meta-analysis conducted on these studies to assess the association of these receptor polymorphisms on POR. This systematic review and meta-analysis evaluated the association between ESR1 and ESR2 single nucleotide polymorphisms (SNPs) and ovarian response in women undergoing controlled ovarian stimulation (COS). The study was registered with PROSPERO and conducted according to PRISMA guidelines. 11 eligible studies were included. Among the various SNPs, meta-analysis focused on ESR1 rs2234693 and rs9340799, and ESR2 rs4986938. ESR1 rs2234693 C‑allele carriers showed significantly increased odds of POR in both heterozygote (pooled log odds ratio (LOR) = 0.99, standard error (SE) = 0.213; odds ratio (OR) = 2.69, p < 0.001)) and dominant models (LOR = 1.69, SE = 0.449, OR = 5.41, p < 0.001), with consistent findings in European populations. Associations for ESR1 rs9340799 and ESR2 rs4986938 with POR showed substantial heterogeneity. Overall, ESR1 rs2234693 may be associated with POR, in women undergoing COS. Further large-scale studies with appropriate study designs are warranted to clarify the potential role of ESR polymorphisms in COS outcomes.

Indexed as

Estrogen Receptor alphaEstrogen Receptor betaOvaryOvulation InductionPolymorphism, Single NucleotideReproductive Techniques, AssistedAllelesFemaleHumansESR1 protein, humanESR2 protein, humanEstrogen Receptor alphaEstrogen Receptor betaARTControlled ovarian stimulationEstrogen receptorOvarian responseSingle nucleotide polymorphisms

Identifiers

PMID42248903
PMCPMC13482574

What Socratic holds

Textmetadata
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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 Socratic graph.