Evidence map›Paper›PMID 31369678›Full record

ArticleTranslational behavioral medicine2020

Short-term weight trajectories and long-term weight outcomes from a lifestyle intervention in real-world clinical practice.

Robert J Romanelli, Sylvia Sudat, Qiwen Huang, Jun Ma, Elizabeth M Venditti, Deborah A Greenwood, Alice R Pressman, Kristen M J Azar

Open access · bronzeAbstract read
In one paragraph

Article in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 7 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

8 authors at 4 institutions in 1 country.

Robert J RomanelliSutter Health, Center for Health Systems Research, Palo Alto Medical Foundation Research Institute, Palo Alto, CA, USA.
Sylvia SudatSutter Health, Center for Health Systems Research, Division of Research, Development & Dissemination, Walnut Creek, CA, USA.
Qiwen HuangSutter Health, Center for Health Systems Research, Palo Alto Medical Foundation Research Institute, Palo Alto, CA, USA.
Jun MaDepartment of Medicine, Institute for Health Research and Policy, and Center for Health Behavioral Research, University of Illinois at Chicago, Chicago, IL, USA.
Elizabeth M VendittiDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Deborah A GreenwoodIndependent Consultant, Granite Bay, CA, USA.
Alice R PressmanSutter Health, Center for Health Systems Research, Division of Research, Development & Dissemination, Walnut Creek, CA, USA.
Kristen M J AzarSutter Health, Center for Health Systems Research, Division of Research, Development & Dissemination, Walnut Creek, CA, USA.
Sutter Health · USQ.D. Research · USUniversity of Illinois Chicago · USUniversity of Pittsburgh · US

Funding

Evaluation of a Lifestyle Intervention Adopted for Clinical Practice for Diabetes Prevention (ELEVATE-DP)R18DK110739 · NIDDK · PALO ALTO MEDICAL FOUNDATION RES INST · PI AZAR, KRISTEN M.J. · 2017 to 2021
$3.2M
NIDDK NIH HHS R18 DK110739
6 · The paper itself

Abstract

Centers for Disease Control and Prevention aligned lifestyle change programs are effective in promoting weight loss among those with elevated cardiometabolic risk; yet, variability in weight outcomes among participants is high. Little is known about heterogeneity of short-term weight changes among participants in real-world clinical practice. We sought to identify short-term weight trajectory clusters among lifestyle change program participants in real-world clinical practice and to examine the relationship between cluster membership and long-term weight outcomes. We identified participants from the electronic health records (2010-2017) with weight measured ≤30 days prior to program initiation (baseline) and in four intervals (3-week segments) in the 12 weeks after baseline. Clustering analysis was performed to identify distinct trajectories in percent weight change over 12 weeks. Cluster-specific differences in weight change at 12 and 52 weeks were assessed. Among 1,148 participants, across 18 clinic sites, three clusters were identified: minimal-to-no weight loss (MWL), delayed-minimal weight loss (DWL), and steady-moderate weight loss (SWL), corresponding to mean weight changes of 0.4%, -2.3%, and -4.8% at 12 weeks follow-up, respectively. Mean weight changes were 0.4%, -1.8%, and -5.1% for MWL, DWL, and SWL clusters, respectively, at 52 weeks follow-up, which correlated in direction and magnitude with short-term weight changes. Clustering analysis reveals heterogeneous, short-term weight trajectories among lifestyle change program participants in real-world clinical practice. Given the relationship between the magnitudes of short- and long-term weight change, individual participant weight trajectories may be useful in identifying potential non-responders in need of adjunctive or alternative therapy.

Indexed as

Body-Weight TrajectoryElectronic Health RecordsHumansLife StyleObesityWeight LossBehavioral lifestyle programElectronic health recordsreal worldWeight loss

Identifiers

PMID31369678
PMCPMC7796704
OpenAlexW2964679881

What OpenQuestion holds

Textmetadata
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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.