Evidence map›Paper›PMID 31927045›Full record

Observational studyJournal of minimally invasive gynecology

Adiposity and Endometriosis Severity and Typology.

Jiyoung Byun, C Matthew Peterson, Uba Backonja, Robert N Taylor, Joseph B Stanford, Kristina L Allen-Brady, Ken R Smith, Germaine M Buck Louis, Karen C Schliep

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of minimally invasive gynecology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  7. Review
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  12. What is the link between endometriosis and adiposity?Obstetrics & gynecology science · 2022
    Article
  13. Review
  14. Review
  15. Article
  16. 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

9 authors at 5 institutions in 2 countries.

Jiyoung ByunDepartment of Family and Preventive Medicine, Division of Public Health (Ms. Byun and Drs. Stanford, Allen-Brady, and Schliep).
C Matthew PetersonDepartment of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility (Drs. Peterson and Taylor), University of Utah, Salt Lake City, Utah.
Uba BackonjaDepartment of Nursing & Healthcare Leadership, University of Washington Tacoma, Tacoma (Dr. Backonja); Department of Biomedical Informatics & Medical Education, University of Washington School of Medicine, Seattle (Dr. Backonja), Washington.
Robert N TaylorDepartment of Obstetrics and Gynecology, Division of Reproductive Endocrinology and Infertility (Drs. Peterson and Taylor), University of Utah, Salt Lake City, Utah.
Joseph B StanfordDepartment of Family and Preventive Medicine, Division of Public Health (Ms. Byun and Drs. Stanford, Allen-Brady, and Schliep).
Kristina L Allen-BradyDepartment of Family and Preventive Medicine, Division of Public Health (Ms. Byun and Drs. Stanford, Allen-Brady, and Schliep); Department of Internal Medicine, Genetic Epidemiology (Dr. Allen-Brady).
Ken R SmithDepartment of Family and Consumer Studies and Population Sciences/Huntsman Cancer Institute (Dr. Smith), University of Utah, Salt Lake City, Utah.
Germaine M Buck LouisDean's Office, College of Health and Human Services, George Mason University, Fairfax, Virginia (Dr. Buck Louis).
Karen C SchliepDepartment of Family and Preventive Medicine, Division of Public Health (Ms. Byun and Drs. Stanford, Allen-Brady, and Schliep). Electronic address: karen.schliep@utah.edu.
University of Utah · USAllen Institute · USGeneral Department of Preventive Medicine · VNGeorge Mason University · USUniversity of Washington · US

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
NICHD NIH HHS L50 HD099868NICHD NIH HHS N01 DK063427NICHD NIH HHS N01 DK063428NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

STUDY

objectivePrior research has collectively shown that endometriosis is inversely related to women's adiposity. The aim of this study was to assess whether this inverse relationship holds true by disease severity and typology.

designCross-sectional study among women with no prior diagnosis of endometriosis.

settingFourteen clinical centers in Salt Lake City, UT, and San Francisco, CA. PATIENTS: A total of 495 women (of which 473 were analyzed), aged 18-44 years, were enrolled in the operative cohort of the Endometriosis, Natural History, Diagnosis, and Outcomes (ENDO) Study.

interventionsGynecologic laparoscopy/laparotomy regardless of clinical indication. MEASUREMENTS AND MAIN

resultsParticipants underwent anthropometric assessments, body composition measurements, and evaluations of body fat distribution ratios before surgery. Surgeons completed a standardized operative report immediately after surgery to capture revised American Society for Reproductive Medicine staging (I-IV) and typology of disease (superficial endometriosis [SE], ovarian endometrioma [OE], and deep infiltrating endometriosis [DIE]). Linear mixed models, taking into account within-clinical-center correlation, were used to generate least square means (95% confidence intervals) to assess differences in adiposity measures by endometriosis stage (no endometriosis, I-IV) and typology (no endometriosis, SE, DIE, OE, OE + DIE) adjusting for age, race/ethnicity, and parity. Although most confidence intervals were wide and overlapping, 3 general impressions emerged: (1) women with incident endometriosis had the lowest anthropometric/body composition indicators compared with those without incident endometriosis, (2) women with stage I or IV endometriosis had lower indicators compared with women with stage II or III, and (3) women with OE and/or DIE tended to have the lowest indicators, whereas women with SE had the highest indicators.

conclusionOur research highlights that the relationship between women's adiposity and endometriosis severity and typology may be more complicated than prior research indicates.

Indexed as

AdiposityAdolescentAdultBody Mass IndexCohort StudiesCross-Sectional StudiesDiagnostic Techniques, Obstetrical and GynecologicalEndometriosisFemaleGynecologic Surgical ProceduresHumansOvarian DiseasesPeritoneal DiseasesPregnancyPrognosisSeverity of Illness IndexBody composition indicatorsBody mass indexDeep infiltrating endometriosisOvarian endometriomaSuperficial endometriosis

Identifiers

PMID31927045
PMCPMC7343585
OpenAlexW2999121680

What OpenQuestion holds

Textmetadata
LicenceTDM
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.