Evidence map›Paper›PMID 34363585›Full record

ArticleEndocrine2022

Association of body mass index with serum anti-Müllerian hormone and inhibin B levels among 8323 women attending a reproductive medical center: a cross-sectional study.

Yaqi Wang, Li Wu, Zhengyu Yang, Ruijun Xu, Yonggang Duan, Jiajia Lin, Xiuqing Cui, Chuangang Fan, Yun Zhou, Wei Bao and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  3. Review
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  5. 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

12 authors at 7 institutions in 4 countries.

Yaqi Wang *Department of Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China.
Li Wu *Reproductive Medical Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, 430030, China.
Zhengyu YangMelbourne School of Population & Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne, Victoria, 3010, Australia.
Ruijun XuDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China.
Yonggang DuanShenzhen Key Laboratory of Fertility Regulation, Center of Assisted Reproduction and Embryology, The University of Hong Kong-Shenzhen Hospital, 1 Haiyuan First Road, Shenzhen, Guangdong, 518053, China.
Jiajia LinDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China.
Xiuqing CuiHubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 35 Zhuodaoquan North Road, Wuhan, Hubei, 430079, China.
Chuangang FanHubei Provincial Key Laboratory for Applied Toxicology, Hubei Provincial Center for Disease Control and Prevention, 35 Zhuodaoquan North Road, Wuhan, Hubei, 430079, China.
Yun ZhouState Key Laboratory of Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Road, Guangzhou, Guangdong, 510120, China.
Wei BaoDepartment of Epidemiology, College of Public Health, University of Iowa, 145 North Riverside Drive, Iowa City, Iowa, 52242, USA.
Lei JinReproductive Medical Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, 430030, China. ljin@tjh.tjmu.edu.cn.
Yuewei LiuDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan Second Road, Guangzhou, Guangdong, 510080, China. liuyuewei@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-5970-4262
Sun Yat-sen University · CNHubei Provincial Center for Disease Control and Prevention · CNTongji Hospital · CNFirst Affiliated Hospital of Guangzhou Medical University · CNThe University of Melbourne · AUUniversity of Hong Kong - Shenzhen Hospital · CNUniversity of Iowa · US

Funding

national key research and development program from ministry of science and technology of china 2018YFC1002103
6 · The paper itself

Abstract

purposeTo assess the association of body mass index (BMI) with serum anti-Müllerian hormone (AMH) and inhibin B (InB) levels among women attending a reproductive medical center.

methodsWe conducted a cross-sectional study of 8323 women (96.4% were Han race) without polycystic ovary syndrome (PCOS) from the reproductive medical center of Tongji Hospital in Wuhan, China for assisted reproductive technology treatment between January 2016 and May 2018. For each participant, BMI and levels of serum AMH and InB were measured at entry by trained clinical technicians. Multivariate linear regression models were used to quantitatively estimate the associations of continuous and categorical BMI with serum AMH and InB levels.

resultsEach 1 kg/m

conclusionsBMI was linearly and inversely associated with AMH and InB levels among women without PCOS. Both overweight and obesity were significantly associated with lower AMH and InB levels.

Indexed as

Anti-Mullerian HormonePolycystic Ovary SyndromeBody Mass IndexCross-Sectional StudiesFemaleHospitalsHumansInhibinsAnti-Mullerian Hormoneinhibin BInhibinsAnti-Müllerian hormoneBMIInhibin BObesityOverweight

Identifiers

PMID34363585
OpenAlexW3191822047

What OpenQuestion holds

Textmetadata
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.