Evidence map›Paper›PMID 34383661›Full record

ArticleJournal of medical Internet research2021

Obesity and BMI Cut Points for Associated Comorbidities: Electronic Health Record Study.

Natalie Liu, Jen Birstler, Manasa Venkatesh, Lawrence Hanrahan, Guanhua Chen, Luke Funk

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
7.5field-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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Association of venous thromboembolism prophylaxis with postoperative bleeding in bariatric surgery: an observational study.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Natalie LiuDepartment of Surgery, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0001-8273-7708
Jen BirstlerDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-5247-0632
Manasa VenkateshDepartment of Surgery, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-6451-5252
Lawrence HanrahanDepartment of Family Medicine and Community Health, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0001-8491-8537
Guanhua ChenDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-9314-2037
Luke FunkDepartment of Surgery, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0003-4475-304X
University of Wisconsin–Madison · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
UW Surgical Oncology Research Training Program (UW-SORT)T32CA090217 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Muhammed Murtaza, Heather B Neuman · 2001 to 2026
$8.3M
Impact of Financing on Outcomes of Methadone MaintenanceR01DA015060 · NIDA · RMC RESEARCH CORPORATION · PI DECK, DENNIS D · 2002 to 2004
$1.4M
NCATS NIH HHS UL1 TR002373NCI NIH HHS T32 CA090217NIDA NIH HHS R01 DA015060
6 · The paper itself

Abstract

backgroundStudies have found associations between increasing BMIs and the development of various chronic health conditions. The BMI cut points, or thresholds beyond which comorbidity incidence can be accurately detected, are unknown.

objectiveThe aim of this study is to identify whether BMI cut points exist for 11 obesity-related comorbidities.

methodsUS adults aged 18-75 years who had ≥3 health care visits at an academic medical center from 2008 to 2016 were identified from eHealth records. Pregnant patients, patients with cancer, and patients who had undergone bariatric surgery were excluded. Quantile regression, with BMI as the outcome, was used to evaluate the associations between BMI and disease incidence. A comorbidity was determined to have a cut point if the area under the receiver operating curve was >0.6. The cut point was defined as the BMI value that maximized the Youden index.

resultsWe included 243,332 patients in the study cohort. The mean age and BMI were 46.8 (SD 15.3) years and 29.1 kg/m

conclusionsThe BMI cut points that accurately predicted the risks of developing 6 obesity-related comorbidities occurred when patients were overweight or barely met the criteria for class 1 obesity. Further studies using national, longitudinal data are needed to determine whether screening guidelines for appropriate comorbidities may need to be revised.

Indexed as

Diabetes Mellitus, Type 2AdultBody Mass IndexComorbidityElectronic Health RecordsHumansObesityRisk Factorsbody mass index (BMI)chronic diseasehealth servicesobesityrisk factorsscreening

Identifiers

PMID34383661
PMCPMC8386370
OpenAlexW3176712825

What OpenQuestion holds

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LicenceCC BY
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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.