Evidence map›Paper›PMID 40161455›Full record

ArticleInternational journal of general medicine2025

A Nomogram for Predicting the Risk of Twin and Preterm Births After Two Cleavage-Stage Embryo Transfer.

Yunzhu Lan, Shuang Liu, Emmanuel Osei Nkansah, Fang Wang, Shaowei Chen, Jun Zhang, Lan Yuan, Jian Xu

Abstract read
In one paragraph

Article in International journal of general medicine, 2025. 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

8 authors.

Yunzhu Lan *Department of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, People's Republic of China.
Shuang Liu *Department of Reproduction, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People's Republic of China.
Emmanuel Osei NkansahDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, People's Republic of China.
Fang WangDepartment of Reproduction, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People's Republic of China.
Shaowei ChenDepartment of Reproduction, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People's Republic of China.
Jun ZhangDepartment of Medical Cell Biology and Genetics, School of Basic Medical Sciences, Institute of Cardiovascular Research Southwest Medical University, Luzhou, 646000, People's Republic of China.
Lan YuanDepartment of Laboratory Medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, 646000, People's Republic of China.
Jian XuDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To propose a prediction model aimed at increasing the live birth rate of patients undergoing two-cell embryo transfer while eliminating multiple pregnancy complications. Methods: Women who underwent their first In Vitro Fertilization (IVF) cycle with transferred cleavage-stage embryos at the Affiliated Hospital of Southwest Medical University between January 2016 and December 2024 were included. This study recruited women who received the GnRH agonist long protocol (GnRH-a) or antagonist protocol (GnRH-ant) for ovarian stimulation. In addition, the clinical parameters related to the basic protocol and embryo characteristics were recorded. Results: In the multivariate analysis, we found that female age, endometrial thickness on the Human Chorionic Gonadotropin (HCG) days, patients with Body Mass Index (BMI) >30, high-quality embryos with 4 cells between 1 and 4 pieces, high-quality embryos with 8 cells, available embryos between 5 and 15 pieces and high-quality embryos between 1 and 4 pieces were crucial factors in the twin pregnancies prediction model ( Conclusion: Endometrial thickness on the HCG day may influence the outcome of twin pregnancies. The high-quality embryos showed a higher positive correlation with the model score. Patients with preterm birth had less endometrial thickness on the HCG day than patients without premature birth. For patients with high-quality embryos, it is advisable to use single embryo transfer to reduce the rate of twin pregnancies. This nomogram will enhance the counseling of patients with infertility challenges.

Indexed as

cleavage embryosendometrial thicknessnomogram modelpreterm birthtwin pregnancies

Identifiers

PMID40161455
PMCPMC11952045

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.