Evidence map›Paper›PMID 40531342›Full record

ArticleInternational journal of biometeorology2025

The impact of season, temperature, and direct normal irradiance on IVF pregnancy outcomes: a retrospective cohort study.

Chao Wang, Jiehua Chen, Zhong Lin, Li Shi, Qiuyan Ruan, Jiamin Long, Yanping Lao, Xiangli Niu

Abstract read
In one paragraph

Article in International journal of biometeorology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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.

Chao Wang *The Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, Guangxi, China.
Jiehua Chen *Department of Microbiology, School of Preclinical Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
Zhong LinThe Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, Guangxi, China.
Li ShiThe Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, Guangxi, China.
Qiuyan RuanThe Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, Guangxi, China.
Jiamin LongThe Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, Guangxi, China.
Yanping LaoThe Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, Guangxi, China.
Xiangli NiuThe Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530000, Guangxi, China. niuxiangl@163.com.ORCID http://orcid.org/0000-0003-3803-6378

Funding

Guangxi Zhuang Autonomous Region Health Commission Self-funded Scientific Research Project Z-A20230434the WU JIEPING MEDICAL FOUNDATION 320.6750.2024-06-10Youth Science Foundation of Guangxi Medical University GXMUYSF201902
6 · The paper itself

Abstract

objectiveThis study assessed associations between season, temperature, direct normal irradiance (DNI), and clinical pregnancy outcomes in first fresh in vitro fertilization (IVF) cycle. Methods. We conducted a retrospective cohort study (June 2021-October 2023) of 1179 patients undergoing fresh IVF cycles. Inclusion criteria required age ≤ 45 years, first-time fresh embryo transfer cycles (long/antagonist protocol), excluding preimplantation genetic testing, frozen cycles, or incomplete data. Temperature and DNI were recorded from gonadotropin (Gn) initiation to oocyte retrieval. Binary logistic regression assessed seasonal impacts on clinical pregnancy, while restricted cubic splines (RCS) independently modeled temperature/DNI effects. Results. Compared to winter, clinical pregnancy likelihood was 1.74-fold higher in spring (95% CI:1.11-2.71, P = 0.015) and 1.53-fold in summer (95% CI:1.02-2.30, P = 0.042). Stratified analysis revealed a 2.02-fold increased likelihood in summer cycles using the long protocol (95% CI:1.07-3.82, P = 0.031), whereas no seasonal variation was observed in antagonist protocol. RCS regression analysis indicated a nonlinear relationship between temperature and clinical pregnancy outcomes, which was confirmed in the long protocol group. No significant correlations were observed with DNI or in patients treated with the antagonist protocol. Conclusions. Season and ambient temperature significantly impact IVF clinical pregnancy, especially in the long protocol, with the highest increase in pregnancy rates observed in summer, as well as within the 26.13℃ to 29.68℃ temperature range. No significant effects were observed with DNI or the antagonist protocol. These findings suggest that summer treatment may optimize IVF outcomes, but future studies should prioritize multi-center prospective designs with continuous temperature monitoring to define precise optimal ranges.

Indexed as

Fertilization in VitroLightPregnancy OutcomeSeasonsTemperatureAdultFemaleHumansPregnancyRetrospective StudiesClinical pregnancyIn vitro fertilizationSeasonTemperature

Identifiers

PMID40531342
PMCPMC12287234

What OpenQuestion holds

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Registered trials

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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.