Evidence map›Paper›PMID 35705336›Full record

ArticleBMJ open2022

Comparison of different severe obesity definitions in predicting future cardiometabolic risk in a longitudinal cohort of children.

Lisa Kakinami, Anna Smyrnova, Gilles Paradis, Angelo Tremblay, Melanie Henderson

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Trial
  2. 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

5 authors at 4 institutions in 1 country.

Lisa KakinamiPERFORM Centre, Concordia University, Montreal, Québec, Canada lisa.kakinami@concordia.ca.ORCID 0000-0002-8496-7643
Anna SmyrnovaDepartment of Mathematics and Statistics, Concordia University, Montreal, Québec, Canada.
Gilles ParadisDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada.
Angelo TremblayDépartement de kinésiologie, Université Laval, Quebec City, Quebec, Canada.
Melanie HendersonDepartment of Pediatrics, Université de Montréal, Montreal, Quebec, Canada.ORCID 0000-0002-0102-2389
Concordia University · CACentre Hospitalier Universitaire Sainte-Justine · CAMcGill University · CAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSevere obesity (SO) prevalence varies between reference curve-based definitions (WHO: ≥99th percentile, Centers for Disease Control and Prevention (CDC): >1.2×95th percentile). Whether SO definitions differentially predict cardiometabolic disease risk is critical for proper clinical care and management but is unknown.

designProspective cohort study

settingSO definitions were applied at baseline (2005-2008, M

participantsRespondents were youth who had at least one biological parent with obesity. PRIMARY OUTCOME MEASURES: Unfavourable cardiometabolic levels of fasting blood glucose (≥6.1 mmol/L), insulin resistance (HOMA-IR index ≥2.0), high-density lipoprotein <1.03 mmol/L, low-density lipoprotein ≥2.6 mmol/L and triglycerides ANALYSIS: Area under the receiver operating characteristic curve (AUC) and McFadden psuedo R

resultsBaseline SO prevalence differed (WHO: 18%, CDC: 6.7%). AUCs ranged from 0.52 to 0.77, with fair agreement (kappa=37%-55%). WHO-SO AUCs for detecting unfavourable HOMA-IR (AUC>0.67) and high-density lipoprotein (AUC>0.59) at F1 were statistically superior than CDC-SO (AUC>0.59 and 0.53, respectively; p<0.05). Only HOMA-IR and the presence of more than three risk factors had acceptable model fit. WHO-SO was not more predictive than WHO-obesity, but CDC-SO was statistically inferior to CDC-obesity.

conclusionWHO-SO is statistically superior at predicting cardiometabolic risk than CDC-SO. However, as most AUCs were generally uninformative, and obesity definitions were the same if not better than SO, the improvement may not be clinically meaningful.

Indexed as

Cardiovascular DiseasesMetabolic SyndromeObesity, MorbidAdolescentBlood GlucoseBody Mass IndexChildCohort StudiesHumansInsulin ResistanceLipoproteins, HDLLongitudinal StudiesObesityProspective StudiesRisk FactorsBlood GlucoseLipoproteins, HDLcommunity child healthepidemiologypaediatricspublic healthstatistics & research methods

Identifiers

PMID35705336
PMCPMC9204411
OpenAlexW4282935512

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.