Evidence map›Paper›PMID 35781782›Full record

ReviewCurrent diabetes reports2022

Risk of Type 2 Diabetes Among Individuals with Excess Weight: Weight Trajectory Effects.

Arthur H Owora, David B Allison, Xuan Zhang, Nana Gletsu-Miller, Kishore M Gadde

Open access · greenAbstract readReview
In one paragraph

Review in Current diabetes reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

5 authors at 2 institutions in 1 country.

Arthur H OworaIndiana University School of Public Health, St, Bloomington, IN, 1025 E. 7th47405, USA. ahowora@iu.edu.ORCID 0000-0002-4580-7428
David B AllisonIndiana University School of Public Health, St, Bloomington, IN, 1025 E. 7th47405, USA.
Xuan ZhangIndiana University School of Public Health, St, Bloomington, IN, 1025 E. 7th47405, USA.
Nana Gletsu-MillerIndiana University School of Public Health, St, Bloomington, IN, 1025 E. 7th47405, USA.
Kishore M GaddePennington Biomedical Research Center, 6400 Perkins Rd, Baton Rouge, LA, USA.
Indiana University Bloomington · USPennington Biomedical Research Center · US

Funding

Developing a Childhood Asthma Risk Passive Digital MarkerK01HL166436 · NHLBI · TRUSTEES OF INDIANA UNIVERSITY · PI OWORA, ARTHUR HAMIE · 2023 to 2024
$324k
Effect of iron status trajectories on lung function and asthma riskR03HS029088 · AHRQ · TRUSTEES OF INDIANA UNIVERSITY · PI OWORA, ARTHUR HAMIE · 2022 to 2024
$110k
AHRQ HHS R03 HS029088NHLBI NIH HHS K01 HL166436
6 · The paper itself

Abstract

purpose of reviewIncreased risk of type 2 diabetes mellitus (T2D) among individuals with overweight or obesity is well-established; however, questions remain about the temporal dynamics of weight change (gain or loss) on the natural course of T2D in this at-risk population. Existing epidemiologic evidence is limited to studies that discretely sample and assess excess weight and T2D risk at different ages with limited follow-up, yet changes in weight may have time-varying and possibly non-linear effects on T2D risk. Predicting the impact of weight change on the risk of T2D is key to informing primary prevention. We critically review the relationship between weight change, trajectory groups (i.e., distinct weight change patterns), and T2D risk among individuals with excess weight in recently published T2D prevention randomized controlled trials (RCTs) and longitudinal cohort studies. RECENT

findingsOverall, weight trajectory groups have been shown to differ by age of onset, sex, and patterns of insulin resistance or beta-cell function biomarkers. Lifestyle (diet and physical activity), pharmacological, and surgical interventions can modify an individual's weight trajectory. Adolescence is a critical etiologically relevant window during which onset of excess weight may be associated with higher risk of T2D. Changes in insulin resistance and beta-cell function biomarkers are distinct but related correlates of weight trajectory groups that evolve contemporaneously over time. These multi-trajectory markers are differentially associated with T2D risk. T2D risk may differ by the age of onset and duration of excess body weight, and the type of weight loss intervention. A better understanding of the changes in weight, insulin sensitivity, and beta-cell function as distinct but related correlates of T2D risk that evolve contemporaneously over time has important implications for designing and targeting primary prevention efforts.

Indexed as

Body-Weight TrajectoryDiabetes Mellitus, Type 2Insulin ResistanceAdolescentBiomarkersHumansWeight GainBiomarkersType 2 diabetes mellitusWeight changeWeight loss interventionsWeight trajectory

Identifiers

PMID35781782
PMCPMC10094425
OpenAlexW4283815942

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.