Evidence map›Paper›PMID 33372406›Full record

ArticleClinical obesity2021

Increases in multimorbidity with weight class in the United States.

Charisse R Madlock-Brown, Rebecca B Reynolds, James E Bailey

Open access · greenAbstract read
In one paragraph

Article in Clinical obesity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  6. Observational
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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

3 authors at 1 institution in 1 country.

Charisse R Madlock-BrownHealth Informatics and Information Management Program, University of Tennessee Health Science Center, Memphis, Tennessee, USA.ORCID https://orcid.org/0000-0002-3647-1045
Rebecca B ReynoldsHealth Informatics and Information Management Program, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
James E BaileyCenter for Health System Improvement, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
University of Tennessee Health Science Center · US

Funding

Data-Driven Identification of Costly Multi-Morbidity Groupings and their ProgressionR15AG067232 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI MADLOCK-BROWN, CHARISSE RENEE · 2020 to 2020
$435k
National Institute of Aging R15AG067232NIA NIH HHS R15 AG067232UTHSC Cornet Award E070116014
6 · The paper itself

Abstract

Little is known regarding how multimorbidity combinations associated with obesity change with increase in body weight. This study employed data from the national Cerner HealthFacts Data Warehouse to identify changes in multimorbidity patterns by weight class using network analysis. Networks were generated for 154 528 middle-aged patients in the following categories: normal weight, overweight, and classes 1, 2, and 3 obesity. The results show significant differences (P-value<0.05) in prevalence by weight class for all but three of 82 diseases considered. The percentage of patients with multimorbidity (excluding obesity) increases from in 55.1% in patients with normal weight, to 57.88% with overweight, 70.39% with Class 1 obesity, 73.99% with Class 2 obesity, and 71.68% in Class 3 obesity, increasing most substantially with the progression from overweight to class 1 obesity. Most prevalent disease clusters expand from only hypertension and dorsalgia in normal weight, to add joint disorders in overweight, lipidemias in class 1 obesity, diabetes in class 2 obesity, and sleep disorders and chronic kidney disease in class 3 obesity. Recognition of multimorbidity patterns associated with weight increase is essential for true precision care of obesity-associated chronic conditions and can help clinicians identify and address preclinical disease before additional complications arise.

Indexed as

MultimorbidityAdultDiabetes ComplicationsDiabetes MellitusFemaleHumansMaleMiddle AgedOverweightPrevalenceUnited Statesmultimorbiditynetwork analysisprecision care

Identifiers

PMID33372406
PMCPMC8454494
OpenAlexW3115735499

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.