Evidence map›Paper›PMID 40469437›Full record

ArticleFrontiers in endocrinology2025

The association between season and meteorological factors on clinical outcomes after fresh embryo transfer: a cohort study from Central Plains, China.

Hao Li, Xin Li, JinYu Li, YuMeng Ma, Gang Li

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
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

5 authors.

Hao LiReproductive Medical Center, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xin LiReproductive Medical Center, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
JinYu LiReproductive Medical Center, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
YuMeng MaReproductive Medical Center, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Gang LiReproductive Medical Center, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate whether seasonal variations and meteorological factors influence pregnancy outcomes in women undergoing Materials and methods: We conducted a retrospective cohort study of women who underwent IVF/ICIS-ET for the first time at the Reproductive Medicine Center of the First Affiliated Hospital of Zhengzhou University from January 1, 2011, to December 1, 2021. A total of 24420 cycles were collected. They were divided into four groups according to the oocyte retrieval date. The main outcome measures were clinical pregnancy rate and live birth rate. Binary logistic regression was used to explore the factors affecting clinical pregnancy rate and live birth rate. Results: In this study, the live birth rate of cycles with oocyte retrieval performed in summer was significantly higher than those in spring, autumn, and winter (61.24% [4859/7934] vs. 59.09% [3074/5202] vs. 58.89% [3676/6242] vs. 57.70% [2909/5042]; Conclusions: In women who undergo IVF/ICSI treatment, the season ambient temperature, and humidity on the date of the oocyte retrieval may impact embryo development and live birth.

Indexed as

Embryo TransferFertilization in VitroMeteorological ConceptsSeasonsAdultBirth RateChinaCohort StudiesFemaleHumansLive BirthOocyte RetrievalPregnancyPregnancy OutcomePregnancy RateRetrospective Studiesartclinical pregnancy ratelive birth rateseasontemperature

Identifiers

PMID40469437
PMCPMC12133486

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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.