Evidence map›Paper›PMID 35933344›Full record

ArticleReproductive biology and endocrinology : RB&E2022

Effects of seasonal variations and meteorological factors on IVF pregnancy outcomes: a cohort study from Henan Province, China.

Ting Chu, Di Wang, Ting Yu, Jun Zhai

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Effects of different seasons on the outcome ofFrontiers in reproductive health · 2026
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  13. Improved pregnancy rate and sex ratio in fresh/frozenJournal of animal science and technology · 2023
    Article
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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

4 authors at 1 institution in 1 country.

Ting ChuCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Di WangCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ting YuCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jun ZhaiCenter for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. bestzhai2005@163.com.
First Affiliated Hospital of Zhengzhou University · CN

Funding

Key Scientific Research Projects of Higher Education Institutions in Henan Province 22A320025National Natural Science Foundation of China 82071649
6 · The paper itself

Abstract

objectiveTo investigate whether seasonal variations and meteorological factors influence pregnancy outcomes in women undergoing in vitro fertilization-embryo transfer (IVF-ET) treatment.

designRetrospective cohort study.

settingUniversity-affiliated reproductive medical center. SUBJECTS: Women aged < 35 years undergoing IVF from June 1, 2015, to June 1, 2019.

interventionsCycles were divided into four groups according to the date of the beginning of ovulation induction: spring (659 cycles), summer (578 cycles), autumn (519 cycles), and winter (534 cycles).

resultsThe high-quality embryo rate was higher in autumn and winter than in cycles in which ovulation induction occurred in spring and summer (58.70% vs. 58.78% vs. 62.67% vs. 63.42%; P < 0.001). The results of linear regression analysis showed that the high-quality embryo rate was significantly correlated with the daily average temperature of ovulation induction (P = 0.037). The clinical pregnancy rates of cycles starting ovulation induction in spring, summer, and autumn were significantly higher than those starting in winter (70.71% vs. 73.18% vs. 70.13% vs. 65.17%; P = 0.031), while the biochemical pregnancy rate, early abortion rate, and live birth rate were not significantly different (P > 0.050). Multivariate logistic regression analysis showed significant seasonal variation in clinical pregnancy (OR = 1.643, 95% CI = 1.203-2.243; P = 0.002), and that a higher daily average temperature at the time of ovulation induction increased the clinical pregnancy rate (OR = 1.012, 95% CI = 1.001-1.022; P = 0.031).

conclusionsIn women younger than 35 years who undergo IVF treatment, the season and ambient temperature on the date of the beginning of ovulation induction may have an impact on embryo development and clinical pregnancy.

Indexed as

Fertilization in VitroOvulation InductionCohort StudiesFemaleHumansMeteorological ConceptsPregnancyPregnancy RateRetrospective StudiesSeasonsEmbryonic developmentIVFPregnancy outcomeSeasonTemperature

Identifiers

PMID35933344
PMCPMC9356437
OpenAlexW4290033864

What OpenQuestion holds

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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.