Evidence map›Paper›PMID 34472680›Full record

ArticleDiabetes, obesity & metabolism2021

Associations of weight loss with obesity-related comorbidities in a large integrated health system.

Arshiya Mariam, Galen Miller-Atkins, Kevin M Pantalone, Neeraj Iyer, Anita D Misra-Hebert, Alex Milinovich, Janine Bauman, Michelle Mocarski, Abhilasha Ramasamy, B Gabriel Smolarz and 5 more

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

18 citing papers in PubMed.

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  13. An interpretable predictive deep learning platform for pediatric metabolic diseases.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  14. Article
  15. How to establish an endoscopic bariatric practice.World journal of gastrointestinal endoscopy · 2024
    Article
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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

15 authors.

Arshiya MariamDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Galen Miller-AtkinsDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Kevin M PantaloneEndocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-3897-4551
Neeraj IyerNovo Nordisk Inc, Plainsboro, New Jersey, USA.
Anita D Misra-HebertDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Alex MilinovichDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Janine BaumanDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Michelle MocarskiNovo Nordisk Inc, Plainsboro, New Jersey, USA.
Abhilasha RamasamyNovo Nordisk Inc, Plainsboro, New Jersey, USA.
B Gabriel SmolarzNovo Nordisk Inc, Plainsboro, New Jersey, USA.ORCID 0000-0002-8591-3858
Todd M HobbsNovo Nordisk Inc, Plainsboro, New Jersey, USA.
Robert S ZimmermanEndocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Bartolome BurgueraEndocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Michael W KattanDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Daniel M RotroffDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0003-0553-3220

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo determine the health outcomes associated with weight loss in individuals with obesity, and to better understand the relationship between disease burden (disease burden; ie, prior comorbidities, healthcare utilization) and weight loss in individuals with obesity by analysing electronic health records (EHRs). MATERIALS AND

methodsWe conducted a case-control study using deidentified EHR-derived information from 204 921 patients seen at the Cleveland Clinic between 2000 and 2018. Patients were aged ≥20 years with body mass index ≥30 kg/m

resultsWeight loss was associated with reduced incidence of many outcomes (eg, type 2 diabetes, nonalcoholic steatohepatitis/nonalcoholic fatty liver disease, obstructive sleep apnoea, hypertension; P < 0.05). Weight loss >10% was associated with increased incidence of certain outcomes including stroke and substance abuse. However, many outcomes that increased with weight loss were attenuated by disease burden adjustments.

conclusionsThis study provides the most comprehensive real-world evaluation of the health impacts of weight change to date. After comorbidity burden and healthcare utilization adjustments, weight loss was associated with an overall reduction in risk of many adverse outcomes.

Indexed as

Delivery of Health Care, IntegratedDiabetes Mellitus, Type 2Non-alcoholic Fatty Liver DiseaseBody Mass IndexCase-Control StudiesComorbidityHumansObesityWeight Losscomorbidity burdenelectronic health recordsobesityweight loss

Identifiers

PMID34472680
PMCPMC9292723

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.