Evidence map›Paper›PMID 41195173›Full record

ArticleFrontiers in medicine2025

The impact of seasonal variations on IVF pregnancy outcomes: a retrospective cohort study in Jinan, China.

Xin Hu, Heng-Bing Li, Jing-Yan Song, Hai-Ning Yuan, Ying Xu, Kai-Liang Ai, Zhen-Gao Sun, Zhen-Ni Mu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
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

8 authors.

Xin HuThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Heng-Bing LiThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Jing-Yan SongDepartment of Reproduction and Genetics, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Hai-Ning YuanThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Ying XuThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Kai-Liang AiThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhen-Gao SunDepartment of Reproduction and Genetics, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhen-Ni MuDepartment of Reproduction and Genetics, The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To evaluate the association between seasonal temperature variations and clinical outcomes of Methods: This retrospective cohort study analyzed 2,551 first fresh IVF-embryo transfer (IVF-ET) cycles performed at a tertiary reproductive center of The First Affiliated Hospital of Shandong University of Traditional Chinese Medicine between January 2009 and January 2024. The study population comprised normo-ovulatory women aged < 35 years without uterine anomalies or severe male factor infertility (sperm concentration >1 × 106/mL). Cycles were stratified into four seasonal cohorts based on gonadotropin initiation dates: spring (March-May, Results: Compared with the winter control group, risk of miscarriage in cycles initiated in spring showed a statistically significant increase (95% CI 1.019, 2.846; Conclusion: Seasonal microenvironmental factors during ovarian stimulation may modulate IVF success trajectories, suggesting potential benefits of climate-adaptive protocol personalization in temperate monsoon regions. Clinical trial registration: This is a retrospective case-control study.

Indexed as

Chinaclinical outcomesfresh embryo transferin vitro fertilizationmeteorological factorsseasonal variation

Identifiers

PMID41195173
PMCPMC12583075

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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.