Evidence map›Paper›PMID 41185865›Full record

ArticleInternational journal of women's health2025

Analysis of Risk Factors and Prediction Model of Chromosomal Abnormalities in Embryos from Patients with Missed Miscarriage.

Mengke Wei, Qiankun Wei, Xinyan Xu, Shuang Liu, Xuzhen Zhao, Zhiping Zeng, Yuning Dai, Patiman Ainiwaer, Jing Zhang

Abstract read
In one paragraph

Article in International journal of women's health, 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

9 authors.

Mengke Wei *School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830000, People's Republic of China.
Qiankun Wei *School of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China.
Xinyan XuXinjiang Clinical Research Center for Perinatal Diseases, Urumqi Maternal and Child Health Hospital, Urumqi, Xinjiang, 830000, People's Republic of China.
Shuang LiuXinjiang Clinical Research Center for Perinatal Diseases, Urumqi Maternal and Child Health Hospital, Urumqi, Xinjiang, 830000, People's Republic of China.
Xuzhen ZhaoSchool of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830000, People's Republic of China.
Zhiping ZengSchool of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830000, People's Republic of China.
Yuning DaiSchool of Public Health, Xinjiang Medical University, Urumqi, Xinjiang, 830000, People's Republic of China.
Patiman AiniwaerSchool of Medicine, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China.
Jing ZhangXinjiang Clinical Research Center for Perinatal Diseases, Urumqi Maternal and Child Health Hospital, Urumqi, Xinjiang, 830000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To study the chromosome distribution characteristics in embryos of patients with missed miscarriage and analyze the risk factors of embryonic chromosomal abnormalities. Methods: Clinical data were collected from 216 hospitalised patients diagnosed with missed miscarriages who successfully underwent embryo chromosomal analysis at the Urumqi Maternal and Child Health Hospital between January 2022 and August 2024. The distribution of embryonic chromosomes was investigated, and risk factors for chromosomal abnormalities were identified using multivariate logistic regression analysis. Based on the above-described results, a nomogram prediction model was established and validated. The receiver operating characteristic curve was plotted, the area under the curve (AUC) was calculated, and the calibration curve and clinical decision curve were plotted to verify the model discrimination, calibration, and clinical practicability. Results: Our results showed that the rate of chromosomal abnormalities in patients with missed miscarriages was 66.67%; among these, trisomy 16 (45, X) and triploidy were the most common numerical abnormalities, while deletions were the predominant structural abnormality. Being underweight or overweight, insufficient or deficient in 25-hydroxyvitamin D, and having elevated thyroid-stimulating hormone levels were identified as risk factors for developing embryonic chromosomal abnormalities ( Conclusion: Chromosomal abnormalities are the main causes of missed miscarriages, with trisomy 16 and Turner syndrome being the most common among these. A close correlation between weight in women and embryonic chromosomal abnormalities was observed. Vitamin D deficiency or insufficiency and elevated thyroid-stimulating hormone levels may also contribute to increased risk of chromosomal abnormalities in embryos.

Indexed as

body mass indexchromosomal aberrationsmiscarriagethyroidvitamin D

Identifiers

PMID41185865
PMCPMC12579834

What OpenQuestion 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 OpenQuestion graph.