Evidence map›Paper›PMID 42111334›Full record

ArticleInternational journal of women's health2026

Evaluating the Impact of Female Factors on Specific Stages of Early Embryo Development: A Retrospective Analysis of 1372 IVF Cycles.

Huan Jiang, Xiaolu Xia, Biyun Zhang, Haiyan Pan, Ying Luo, Shihao Qu, Jianying Xu

Abstract read
In one paragraph

Article in International journal of women's health, 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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0citing papers in PubMed
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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

7 authors.

Huan JiangDepartment of Reproductive Endocrinology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College), Shenzhen, People's Republic of China.ORCID 0000-0001-9362-8355
Xiaolu XiaDepartment of Reproductive Endocrinology, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College), Shenzhen, People's Republic of China.
Biyun ZhangSchool of Public Health, Guangdong Medical University, Dongguan, People's Republic of China.
Haiyan PanReproductive Immunology Department, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), NHC Key Laboratory of Male Reproduction and Genetics, Guangzhou, People's Republic of China.
Ying LuoReproductive Medicine Center, Zhuhai Maternal and Child Health Care Hospital, Zhuhai, People's Republic of China.
Shihao QuMale Reproductive Health Department, Zhuhai Maternal and Child Health Care Hospital, Zhuhai, People's Republic of China.
Jianying XuReproductive Medicine Center, Zhuhai Maternal and Child Health Care Hospital, Zhuhai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To ascertain whether female factors uniformly impact the entire spectrum of early embryo development during in vitro fertilization (IVF) treatments or if their influence is confined to specific stages. Methods: A retrospective observational study. Univariate and multivariate logistic regression analyses were performed to identify the influence of female factors on different stages of embryo development. Results: Significant differences in female age, AMH, AFC, and gonadotropin (Gn) dose were observed across the five groups ( Conclusion: Female factors exert stage-specific effects on early embryo development in IVF, supporting the need for individualized clinical strategies. Notably, an optimal LH/FSH ratio was associated with improved blastocyst quality, although prospective studies are warranted to validate this threshold and its clinical applicability.

Indexed as

blastocyst qualitycluster analysisearly embryo developmentin vitro fertilizationLH/FSH ratio

Identifiers

PMID42111334
PMCPMC13156972

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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.