Evidence map›Paper›PMID 32756952›Full record

ArticleThe Journal of clinical endocrinology and metabolism2020

Increased Body Mass Index Is Associated With A Nondilutional Reduction in Antimüllerian Hormone.

Eleni Greenwood Jaswa, Julie S Rios, Marcelle I Cedars, Nanette F Santoro, Mary Ellen G Pavone, Richard S Legro, Heather G Huddleston

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  13. Antimullerian Hormone, a Marker of Ovarian Reserve, Is Protective Against Presence and Severity of NASH in Premenopausal Women.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024
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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

7 authors at 5 institutions in 1 country.

Eleni Greenwood JaswaDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, California.
Julie S RiosDepartment of Obstetrics & Gynecology, University of Cincinnati, Cincinnati, Ohio.
Marcelle I CedarsDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, California.
Nanette F SantoroDepartment of Obstetrics & Gynecology, University of Colorado, Denver, Colorado.
Mary Ellen G PavoneDepartment of Obstetrics & Gynecology, Northwestern University, Chicago, Illinois.
Richard S LegroDepartment of Obstetrics & Gynecology, Pennsylvania State University, Hershey, Pennsylvania.
Heather G HuddlestonDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, California.
University of California, San Francisco · USNorthwestern University · USPennsylvania State University · USUniversity of Cincinnati · USUniversity of Colorado Denver · US

Funding

UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Genetic Epidemiology of Ovarian AgingR01HD044876 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CEDARS, MARCELLE IVONNE · 2005 to 2009
$6.6M
COOPERATIVE MULTICENTER REPRODUCTIVE MEDICINE NETWORKU10HD038992 · NICHD · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI LEGRO, RICHARD S. · 2000 to 2017
$5.0M
NCRR NIH HHS UL1 RR024131NICHD NIH HHS R01 HD044876NICHD NIH HHS U10 HD038992
6 · The paper itself

Abstract

contextControversy exists regarding if and how body mass index (BMI) impacts antimüllerian hormone (AMH) in women with and without polycystic ovary syndrome (PCOS). Understanding the BMI-AMH relationship has critical implications for clinical interpretation of laboratory values and could illuminate underlying ovarian physiology.

objectiveTo test the hypotheses that (1) BMI is associated with reduced AMH in PCOS and ovulatory controls (OVAs) and (2) the reduction in AMH is not accounted for by dilutional effects. DESIGN/

settingMulticenter cohort.

participantsWomen aged 25 to 40 years from 2 clinical populations: 640 with PCOS, 921 women as OVAs.

main outcome measuresOvarian reserve indices: AMH, antral follicle count (AFC), and AMH to AFC ratio (AMH/AFC) as a marker of per-follicle AMH production.

resultsIn both cohorts, increasing BMI and waist circumference were associated with reductions in AMH and AMH/AFC, after adjusting for age, race, smoking, and site in multivariate regression models. Increasing BMI was associated with reduced AFC in PCOS but not OVAs. Body surface area (BSA), which unlike BMI is strongly proportional to plasma volume, was added to investigate a potential dilutive effect of body size on AMH concentrations. After controlling for BSA, BMI retained independent associations with AMH in both cohorts; BSA no longer associated with AMH.

conclusionsIn an adjusted analysis, BMI, but not BSA, was associated with reduced AMH; these data do not support a role for hemodilution in mediating the relationship between increased body size and reduced AMH. Decreased AMH production by the follicle unit may be responsible for reduced AMH with increasing BMI.

Indexed as

Body Mass IndexAdiposityAdultAnti-Mullerian HormoneBlood VolumeBody Surface AreaCase-Control StudiesCohort StudiesFemaleHumansOvarian ReservePolycystic Ovary SyndromeAnti-Mullerian Hormoneantimüllerian hormoneantral follicle countobesityovarian reservepolycystic ovary syndrome

Identifiers

PMID32756952
PMCPMC7448935
OpenAlexW3046975821

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.