Evidence map›Paper›PMID 38358738›Full record

ArticleJAMA network open2024

Weight Loss Treatment and Longitudinal Weight Change Among Primary Care Patients With Obesity.

James Henderson, Anne P Ehlers, Joyce M Lee, Andrew T Kraftson, Kenneth Piehl, Caroline R Richardson, Dina H Griauzde

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
15.1field-weighted citation impact, top 1% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 3 institutions in 1 country.

James HendersonDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Anne P EhlersInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Joyce M LeeInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Andrew T KraftsonDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Kenneth PiehlDepartment of Obstetrics and Gynecology, University of Michigan, Ann Arbor.
Caroline R RichardsonDepartment of Family Medicine, Brown University, Providence, Rhode Island.
Dina H GriauzdeDepartment of Internal Medicine, University of Michigan, Ann Arbor.
University of Michigan–Ann Arbor · USVA Ann Arbor Healthcare System · USBrown University · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
A multilevel intervention to support weight loss among individuals with prediabetes in primary care settingsK23DK123416 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GRIAUZDE, DINA HAFEZ · 2020 to 2024
$962k
Sex as a Biologic Variable in Groin HerniaK08DK135919 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Anne Pugel Ehlers · 2024 to 2026
$478k
NIDDK NIH HHS K08 DK135919NIDDK NIH HHS K23 DK123416NIDDK NIH HHS L30 DK134076NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

Importance: Among individuals with obesity, 5% or greater weight loss can improve health. Weight management treatments (WMT) include nutrition counseling, very low-calorie meal replacement (MR), antiobesity medications (AOM), and bariatric surgery; however, little is known about how these WMT are associated with weight change among individual patients and populations. Objective: To characterize weight status and WMT use among primary care patients and assess associations between WMT and weight trajectories. Design, Setting, and Participants: Retrospective, population-based cohort study of primary care patients from 1 academic health system in Michigan between October 2015 and March 2020 using cross-sectional analysis to compare obesity prevalence and WMT utilization. For patients with obesity and WMT exposure or matched controls, a multistate Markov model assessing associations between WMT and longitudinal weight status trajectories was used. Data were analyzed from October 2021 to October 2023. Exposures: Cross-sectional exposure was year: 2017 or 2019. Trajectory analysis exposures were WMT: nutrition counseling, MR, AOM, and bariatric surgery. Main Outcomes and Measures: Cross-sectional analysis compared mean body mass index (BMI), obesity prevalence, and, among patients with obesity, prospective WMT use. The trajectory analysis examined longitudinal weight status using thresholds of ±5% and 10% of baseline weight with primary outcomes being the 1-year probabilities of 5% or greater weight loss for each WMT. Results: Adult patients (146 959 participants) consisted of 83 636 female participants (56.9%); 8940 (6.1%) were Asian, 14 560 (9.9%) were Black, and 116 664 (79.4%) were White. Patients had a mean (SD) age of 49.6 (17.7) years and mean (SD) BMI of 29.2 (7.2). Among 138 682 patients, prevalence of obesity increased from 39.2% in 2017 to 40.7% in 2019; WMT use among patients with obesity increased from 5.3% to 7.1% (difference: 1.7%; 95% CI, 1.3%-2.2%). In a multistate model (10 180 patients; 33 549 patient-years), the 1-year probability of 5% or greater weight loss without WMT exposure was 15.6% (95% CI, 14.3%-16.5%) at reference covariates. In contrast, the probability of 5% or greater weight loss was more likely with year-long exposures to any WMT (nutrition counseling: 23.1%; 95% CI, 21.3%-25.1%; MR: 54.6%; 95% CI, 46.5%-61.2%; AOM: 27.8%; 95% CI, 25.0%-30.5%; bariatric surgery: 93.0%; 95% CI, 89.7%-95.0%). Conclusions and Relevance: In this cohort study of primary-care patients with obesity, all WMT increased the patient-level probability of achieving 5% or greater weight loss, but current rates of utilization are low and insufficient to reduce weight at the population level.

Indexed as

Anti-Obesity AgentsBody-Weight TrajectoryAdultCohort StudiesCross-Sectional StudiesFemaleHumansMiddle AgedObesityPrimary Health CareProspective StudiesRetrospective StudiesWeight LossAnti-Obesity Agents

Identifiers

PMID38358738
PMCPMC10870179
OpenAlexW4391839891

What OpenQuestion holds

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LicenceCC BY
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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.