Evidence map›Paper›PMID 41837151›Full record

ArticleFrontiers in endocrinology2026

Clinical characteristics and associated risk factors for diminished ovarian reserve among Chinese women: a matched case-control study.

Fan Zhao, Penghao Li, Ruobing Mei, Chongbi Huang, Dongsen Hu, Tony Cheung, Yajiao Lu, Pulin Luo, Lucas Gonzalo Garay, Ying Yang and 4 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. 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

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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. Article
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

14 authors.

Fan Zhao *Department of Epidemiology and Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Penghao Li *Sichuan Jinxin Xinan Women's and Children's Hospital, Chengdu, China.
Ruobing MeiDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Chongbi HuangDepartment of Epidemiology and Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Dongsen HuSichuan Jinxin Xinan Women's and Children's Hospital, Chengdu, China.
Tony CheungLaboratory of Data Discovery for Health Limited (D24H), Hong Kong, Hong Kong SAR, China.
Yajiao LuDepartment of Epidemiology and Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Pulin LuoSichuan Jinxin Xinan Women's and Children's Hospital, Chengdu, China.
Lucas Gonzalo GarayLaboratory of Data Discovery for Health Limited (D24H), Hong Kong, Hong Kong SAR, China.
Ying YangDepartment of Epidemiology and Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Dandan ZhaoDepartment of Epidemiology and Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Juan YangSichuan Jinxin Xinan Women's and Children's Hospital, Chengdu, China.
Jing LiDepartment of Epidemiology and Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Leesa LinDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diminished ovarian reserve (DOR) has emerged as a significant reproductive challenge and a broader societal concern. Most previous studies have focused on ovarian reserve markers, while limited research has examined DOR as a primary outcome, and the potential association between TORCH infections (toxoplasmosis, others, rubella, cytomegalovirus, herpes) and DOR risk remains unclear. Methods: A matched case-control study was conducted among women aged 20-47 years who sought assisted reproductive technology at a maternity hospital in Sichuan, China, between January 2022 and August 2024. DOR was diagnosed according to the Consensus on clinical diagnosis and management of diminished ovarian reserve from China. Age-matched controls (1:1) with normal ovarian reserve were selected. Conditional logistic regression was used to identify factors associated with DOR, with multivariable models adjusting for confounders. Subgroup analyses by age and body mass index (BMI) were conducted to examine robustness and effect modification. Results: A total of 3,751 DOR cases were matched to 3,751 controls (median age: 36 years). DOR group had significantly higher FSH, E2, and LH levels (P < 0.01), and lower AFC, AMH, PRL, and T levels (P < 0.001) compared to controls. Multivariable logistic regression showed that non-Han ethnicity (OR = 1.278, 95% CI: 1.115-1.466), manual labor (OR = 1.181, 95% CI: 1.002-1.392), obesity (OR = 1.316, 95% CI: 1.044-1.660), light menstrual flow (OR = 1.262, 95% CI: 1.111-1.435), and T. gondii infection (OR = 2.292, 95% CI: 1.683-3.122) were independently associated with DOR. In women aged 20-35 years, ≥2 pregnancies (OR = 0.712, 95% CI: 0.615-0.824), and infections with T. gondii (OR = 23.750, 95% CI: 13.330-42.316), CMV (OR = 8.189, 95% CI: 5.821-11.521), and RV (OR = 8.132, 95% CI: 5.806-11.390) were strongly associated with DOR, with no such associations observed in the 36-47 years group. Significant age interactions were detected (P < 0.05). Conclusion: Ethnicity, obesity, menstrual flow, pregnancy history, and TORCH infections were significantly associated with DOR, with age-related effect modification observed for pregnancy history and infections. Prospective studies are needed to elucidate the underlying mechanisms, particularly the role of infections and immune response.

Indexed as

Infertility, FemaleOvarian ReserveAdultCase-Control StudiesChinaEast Asian PeopleFemaleHumansMiddle AgedRisk FactorsYoung AdultageChinadiminished ovarian reservematched case–control studyrisk factors

Identifiers

PMID41837151
PMCPMC12979073

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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.