Evidence map›Paper›PMID 37919779›Full record

SynthesisCardiovascular diabetology2023

High BMI and the risk for incident type 1 Diabetes Mellitus: a systematic review and meta-analysis of aggregated cohort studies.

Maya Nitecki, Hertzel C Gerstein, Yulia Balmakov, Eyal Tsur, Vladislav Babushkin, Tomer Michaeli, Arnon Afek, Orit Pinhas-Hamiel, Tali Cukierman-Yaffe, Gilad Twig

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06670625 (Intensive Dietary and Activity Counselling), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 7% 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.

NCT06670625 narecruitingnot on this mapstarted 2025, after this paper: background citation

Intensive Dietary and Activity Counselling

TypeinterventionalSponsorLund UniversityRan2025 to 2031Enrolled1,244ConditionsType 1 Diabetes, Autoimmune DiabetesArmsIDAC+
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Time to reframe the disease staging system for type 1 diabetes.The lancet. Diabetes & endocrinology · 2024
    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

10 authors at 5 institutions in 2 countries.

Maya NiteckiIsrael Defense Forces, Medical Corps, Ramat Gan, Israel.
Hertzel C GersteinDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Yulia BalmakovDepartment of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Eyal TsurDepartment of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Vladislav BabushkinDepartment of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Tomer MichaeliDepartment of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Arnon AfekCentral Management, Sheba Medical Center, Ramat Gan, Israel.
Orit Pinhas-HamielSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Tali Cukierman-Yaffe *Department of Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Gilad Twig *Department of Military Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. gilad.twig@gmail.com.
Hebrew University of Jerusalem · ILSheba Medical Center · ILIsrael Defense Forces Medical Corps · ILMcMaster University · CATel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is uncertainty regarding the role of obesity in type 1 diabetes development. The aim of this systematic review and meta-analysis was to collect and synthesize evidence regarding BMI and the risk of developing type 1 diabetes.

methodsA systematic review and meta-analysis were conducted to assess the association between BMI and incident type 1 diabetes. Databases were searched up to June 2022. Cohort studies were included reporting the association between overweight and/or obesity, as measured by BMI after age 2 years, with incident type 1 diabetes. Independent reviewers extracted data and assessed study quality. Risk estimates were pooled using a random-effects model.

resultsTen cohort studies met the inclusion criteria. The seven studies that classified BMI into categories were of high quality and involved 1,690,660 individuals and 1979 incident type 1 diabetes cases. The pooled risk ratio (RR) for type 1 diabetes was 1.35 (95% CI 0.93-1.97) among people with overweight (3 studies); 2.17 (95% CI 1.75-2.69) among people with obesity (5 studies); and 1·87 (95% CI 1.52-2.29) among people with overweight/obesity (two studies merged the categories). These point estimates persisted in sensitivity analyses that addressed the duration of follow-up, variability in baseline risk for incident type 1 diabetes, and potential misclassifications related to exposure or outcome definitions. People with overweight/obesity had a 2.55 (95% CI 1.11-5.86) greater risk for incident type 1 diabetes with positive islet autoantibodies.

conclusionThis systematic review and meta-analysis of high-quality observational cohort studies indicated an association between high BMI and the risk of type 1 diabetes, in a graded manner.

Indexed as

Diabetes Mellitus, Type 1OverweightBody Mass IndexChild, PreschoolCohort StudiesHumansObesityCohort studiesMeta-analysisObesityType 1 diabetes

Identifiers

PMID37919779
PMCPMC10623818
OpenAlexW4388219472

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.