Evidence map›Paper›PMID 42077450›Full record

ArticleFrontiers in endocrinology2026

The impact of COVID-19 infection on the live birth rate in fresh embryo transfer cycles.

Dan Sun, Lu Wang, Ying Su, Ni Jin, Juan Zhou, Ling Li, Yan Zhang, Xiaohong Wang, Huishou Zhao, Shuqiang Chen and 1 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. 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
–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

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

11 authors.

Dan Sun *Department of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Lu Wang *Department of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Ying Su *Department of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Ni JinDepartment of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Juan ZhouDepartment of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Ling LiDepartment of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Yan ZhangDepartment of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Xiaohong WangDepartment of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Huishou ZhaoDepartment of Cardiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Shuqiang ChenDepartment of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.
Ying JuDepartment of Obstetrics and Gynecology, Reproductive Medicine Center, Tang Du Hospital, Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: It is important to clarify the impact of COVID-19 on ART outcomes and to develop evidence-based guidelines for deciding whether to proceed with or cancel Methods: This retrospective study analyzed 1,025 fresh embryo transfer cycles from January 2021 to January 2023. We compared pregnancy and neonatal outcomes between the non-infected group (n=762) and the COVID-19-infected group (n=263). Additionally, we stratified the infected group into subgroups by two criteria: time of infection, with or without fever and partner infection status, and further compared pregnancy outcomes of these subgroups. Univariate and multivariate logistic regression analyses were performed to assess differences in pregnancy and neonatal outcomes between non-infected and COVID-19-infected individuals. Results: The newborn's gender, birth height and birth weight were comparable between the infected and uninfected groups. However, the COVID-19 infection group exhibited a lower LBR with an adjusted odds ratio (OR) of 0.655 (95% confidence interval (CI: 0.483 to 0.887; Conclusion: COVID-19 infection was associated with a lower LBR in fET cycles, especially when: infection occurred 28-84 days before oocyte retrieval with fever ≥ 38.5°C, or dual-partner were infected. Subsequent multicenter studies enrolling a significantly larger cohort of infected women or couples are essential to validate this finding.

Indexed as

Birth RateCOVID-19Embryo TransferLive BirthAdultFemaleFertilization in VitroHumansInfant, NewbornPregnancyPregnancy OutcomePregnancy RateRetrospective StudiesSARS-CoV-2COVID-19fresh embryo transferin vitro fertilizationlive birth rateneonatal outcomes

Identifiers

PMID42077450
PMCPMC13132749

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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.