Evidence map›Paper›PMID 36157457›Full record

ArticleFrontiers in endocrinology2022

The role of endometrial thickness in predicting ectopic pregnancy after

Jing Liu, Hongjiao Kong, Xiaona Yu, Mengge Zhou, Xiaoyang Liu, Xinmi Liu, Jianrui Zhang, Yanli Liu, Shanshan Wu, Yichun Guan

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

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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

10 authors.

Jing LiuReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hongjiao KongNational Health Commission Key Laboratory of Birth Defects Prevention, Henan Institute of Reproduction Health Science and Technology, Zhengzhou, China.
Xiaona YuReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mengge ZhouReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoyang LiuReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinmi LiuReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jianrui ZhangReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yanli LiuReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shanshan WuReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yichun GuanReproductive Medicine Center, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the risk factors of ectopic pregnancy after Methods: This retrospective cohort study was conducted at the Reproductive Medical Center of the Third Affiliated Hospital of Zhengzhou University from January 2016 to April 2020. Univariate and multivariate analysis were used to analyze the related factors affecting the occurrence of ectopic pregnancy (EP) and to construct a nomographic prediction model for the incidence of ectopic pregnancy. Results: A total of 12,766 cycles of 10109 patients were included, comprising 214 cases of EP and 12,552 cases of intrauterine pregnancy (IUP). Multivariate logistic regression analysis showed that the tubal factor was associated with a 2-fold increased risk for EP (aOR = 2.72, 95% CI: 1.69-4.39, P < 0.0001). A stratified analysis showed that women with an endometrial thickness (EMT) between 7.6 to 12.1mm (aOR = 0.57, 95%CI: 0.36-0.90, P = 0.0153) and >12.1mm (aOR = 0.42, 95%CI: 0.24-0.74, P = 0.0026) had a significant reduction of the risk of EP compared to women with an EMT of <7.6mm. Compared to cleavage stage transfer, blastocyst transfer can reduce the risk of ectopic pregnancy (aOR = 0.36, 95%CI: 0.26-0.50, P < 0.0001). The saturation model (full mode) establishes a nomographic prediction model with an AUC = 0.68 and a sensitivity and specificity of 0.67and 0.64, respectively. The nomination model was internally verified by self-sampling method (bootstrap sampling resampling times = 500). The resulting AUC = 0.68 (sensitivity: 0.65; specificity: 0.65) showed that the model was relatively stable. Conclusions: Our findings indicate that EMT is inversely proportional to the risk of EP. Embryo stage, number of embryos transferred were also significantly associated with EP rate. A simple nomogram for the predicting the risk of EP was established in order to reduce the occurrence of EP.

Indexed as

Fertilization in VitroPregnancy, EctopicEmbryo TransferFemaleHumansPregnancyPregnancy RateRetrospective Studiesclinical prediction modelectopic pregnancyIVFrisk factorsROC

Identifiers

PMID36157457
PMCPMC9493494

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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.