Evidence map›Paper›PMID 40155799›Full record

ArticleBMC pregnancy and childbirth2025

Establishing a predictive model for ectopic pregnancy risk following assisted reproductive technology.

Jie Li, Tiantian Dai, Yang Liu, Yuanyi Li, Tailin Chen, Xiaojun Chen, Li Jin

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jie Li *Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
Tiantian Dai *ChangNing Maternity & Infant Health Institute, Shanghai, China.
Yang Liu *Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
Yuanyi LiObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
Tailin ChenDepartment of Epidemiology, School of Public Health, Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Xiaojun ChenDepartment of Reproductive Endocrinology, School of Medicine, International Peace Maternal and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, China. cxj8012@sjtu.edu.cn.
Li JinObstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China. jinl@fudan.edu.cn.

Funding

Key Technologies Research and Development Program 2021YFC2700603,2022YFC2702504National Natural Science Foundation of China 81871140
6 · The paper itself

Abstract

backgroundThe risk of ectopic pregnancy (EP) is known to increase with assisted reproductive technology (ART), but the specific risk factors are unclear.

methodsWe screened 6872 cycles for clinical data that met our study's inclusion criteria and conducted univariate and multivariate analyses to identify factors associated with EP and develop a nomogram prediction model for its incidence.

resultsThe multivariate analysis demonstrated that women with polycystic ovary syndrome (PCOS) have an over two-fold increased risk of EP (aOR = 2.07, 95% CI: 1.27-3.36, P = 0.004). Frozen embryo transfer can significantly reduce the risk of EP compared to fresh embryo transfer (aOR = 2.17, 95% CI: 1.62-2.91, P < 0.001). Male infertility factor was associated with a 1.4-fold increased risk of EP (aOR = 1.39, 95% CI: 1.05-1.85,P = 0.021). Each 1 mm increase in endometrial thickness (EMT) is associated with a 15% reduction in the odds of EP(aOR = 0.86, 95% CI: 0.77-0.93, P < 0.001). Women with EP history was associated with 1.4-fold increased risk of EP (aOR = 1.41, 95% CI: 1.01-1.97, P = 0.046). A nomographic prediction model was established based on the results above. The area under the curve (AUC) for the model predicting EP following ART is 0.624, whereas in the external validation set, it is 0.618.

conclusionsOur findings indicate that PCOS increases the risk of EP after ART, and fresh embryo transfer is also linked to higher EP rates. We developed a nomogram to predict and mitigate the incidence of EP.

trial registrationRetrospectively registered.

Indexed as

NomogramsPregnancy, EctopicReproductive Techniques, AssistedAdultEmbryo TransferEndometriumFemaleHumansIncidenceMaleMultivariate AnalysisPolycystic Ovary SyndromePregnancyRetrospective StudiesRisk AssessmentRisk FactorsAssisted reproductive technologyEctopic pregnancyFrozen embryo transferPolycystic ovary syndromePrediction model

Identifiers

PMID40155799
PMCPMC11951504

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LicenceCC BY-NC-ND
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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.