Evidence map›Paper›PMID 41958812›Full record

ArticleChina CDC weekly2026

Menstrual Characteristics and the Risk of Spontaneous Abortion - 9 PLADs, China, 2013-2024.

Tsomo Tenzin, Yumei Wei, Yiyao Jin, Jiaxin Li, Xiaowei Wang, Shenfengxiang Feng, Xinyi Lyu, Yuanyuan Xiong, Hanbin Wu, Jueming Lei and 7 more

Abstract read
In one paragraph

Article in China CDC weekly, 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

17 authors.

Tsomo Tenzin *National Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Yumei Wei *Peking University First Hospital, Beijing, China.
Yiyao JinNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Jiaxin LiNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Xiaowei WangNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Shenfengxiang FengNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Xinyi LyuNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Yuanyuan XiongNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Hanbin WuNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Jueming LeiNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Jihong XuNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Yuan HeNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Yuanyuan WangNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Ya ZhangNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Hongguang ZhangNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Ying YangNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.
Xu MaNational Research Institute for Family Planning, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Menstrual irregularity is a hallmark clinical feature of polycystic ovary syndrome (PCOS), which is an established risk factor for spontaneous abortion. However, robust population-level evidence directly linking specific patterns of menstrual irregularity to spontaneous abortion risk remains lacking, as prior studies have been limited by small sample sizes. What is added by this report?: This nationwide study of 3.9 million women demonstrates that abnormal menstrual characteristics - including irregular menstrual cycles and abnormal menstrual period duration - are independent risk factors for spontaneous abortion, each exhibiting a dose-response relationship. The co-occurrence of long cycles and prolonged periods confers the highest overall risk. What are the implications for public health practice?: These findings offer a scientific basis for formulating public health policies aimed at reducing spontaneous abortion (SA) risk, particularly in resource-limited settings. Menstrual characteristics constitute a simple, low-cost, and readily accessible tool for stratifying SA risk across the perinatal continuum - from preconception counseling through early pregnancy management.

Indexed as

MenstruationPreconception CarePublic HealthSpontaneous Abortion

Identifiers

PMID41958812
PMCPMC13056561

What OpenQuestion holds

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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.