Evidence map›Paper›PMID 23974764›Full record

ReviewCurrent opinion in endocrinology, diabetes, and obesity2013

A complications-based clinical staging of obesity to guide treatment modality and intensity.

Sunil Daniel, Taraneh Soleymani, W Timothy Garvey

Registry-linked trialAbstract readReview
In one paragraph

Review in Current opinion in endocrinology, diabetes, and obesity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05420506 (Treatment of Obesity Without Surgical Intervention by Reversible Reduction of the Small Intestinal Absorption Area), which is not on this map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
–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.

NCT05420506 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Treatment of Obesity Without Surgical Intervention by Reversible Reduction of the Small Intestinal Absorption Area

TypeinterventionalSponsorYeditepe UniversityRan2022 to 2024Enrolled20ConditionsMorbid ObesityArmsNROT1
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Obesity in the Workplace: Impact, Outcomes, and Recommendations.Journal of occupational and environmental medicine · 2018
    Guideline
  5. Article
  6. Analysis of the Resolution Rate of Complications in Obese Joint Replacement Patients.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
    Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Clinical evaluation of patients living with obesity.Internal and emergency medicine · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Consensus on Medical Nutrition Therapy for Diabesity (CoMeND) in Adults: A South Asian Perspective.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
  19. Article
  20. Article
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.

Sunil DanielDepartment of Nutrition Sciences, University of Alabama at Birmingham, Birmingham VA Medical Center, Birmingham, AL 35294-3360, USA. sunild@uab.edu
Taraneh Soleymani
W Timothy Garvey

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
UAB Diabetes Research and Training CenterP60DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 2008 to 2012
$8.4M
MECHANISMS OF HUMAN INSULIN RESISTANCER01DK038765 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 1993 to 2010
$4.0M
NR4A Orphan Receptors And Insulin ResistanceR01DK083562 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GARVEY, W TIMOTHY · 2009 to 2012
$2.1M
ROLE OF GLUCOSE TRANSPORT PROTEINS IN DIABETES MELLITUSR29DK038765 · NIDDK · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI GARVEY, W TIMOTHY · 1988 to 1992
–
CSRD VA I01 CX000432NIDDK NIH HHS DK-038765NIDDK NIH HHS DK-083562NIDDK NIH HHS P30 DK079626NIDDK NIH HHS P60 DK079626NIDDK NIH HHS P60-DK079626NIDDK NIH HHS R01 DK038765NIDDK NIH HHS R01 DK083562
6 · The paper itself

Abstract

purpose of reviewThe current medical model for obesity management is BMI-centric because BMI is the predominant measure used to gauge disease severity, as well as indications for various treatment modalities. Recent advancements in therapy and understanding of the relationship between BMI and obesity-related complications call for a re-examination of this approach. RECENT

findingsAdvancements in treatment, including the recent approval of two new weight loss medications in the USA, have enabled development of new medical models for management of obesity. On the basis of accumulating data demonstrating the benefits of weight loss regarding multiple obesity-related complications (e.g., diabetes prevention, type 2 diabetes mellitus, cardiovascular disease risk, nonalcoholic steatohepatitis, sleep apnea), a complications-centric model is proposed that employs weight loss as a tool to treat and prevent obesity comorbidities. This model assures that the aggressiveness of therapy is commensurate with disease severity, and that therapy is directed at those obese patients who will benefit most from weight loss therapy. The treatment algorithm is comprehensive in addressing complications and quantitative when possible in the staging of risk or disease severity. SUMMARY: A complications-centric approach to obesity management identifies patients who will benefit most from weight loss, and optimizes patient outcomes, benefit/risk ratio, and the cost-effectiveness of interventions.

Indexed as

AlgorithmsBody Mass IndexDecision MakingDisease ProgressionHumansObesityPatient-Centered CareSeverity of Illness IndexWeight Reduction Programs

Identifiers

PMID23974764
PMCPMC4139285

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.