Evidence map›Paper›PMID 36397092›Full record

Observational studyCardiovascular diabetology2022

Body-weight variability and risk of cardiovascular outcomes in patients with type 1 diabetes: a retrospective observational analysis of data from the DCCT/EDIC population.

Iulia Petria, Samuel Albuquerque, Gaël Varoquaux, Jill-Jênn Vie, Nicolas Venteclef, Kamel Mohammedi, Ronan Roussel, Marion Camoin, Gianluca Perseghin, Gilberto Velho and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 13 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

11 authors at 7 institutions in 2 countries.

Iulia Petria *School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Samuel Albuquerque *Institut Necker-Enfants Malades, Université Paris Cité, INSERM UMR-S1151, CNRS UMR-S8253, Paris, France.
Gaël VaroquauxSODA, INRIA, Saclay, France.
Jill-Jênn VieSODA, INRIA, Saclay, France.
Nicolas VenteclefInstitut Necker-Enfants Malades, Université Paris Cité, INSERM UMR-S1151, CNRS UMR-S8253, Paris, France.
Kamel MohammediBordeaux University and Hospital, INSERM U1034, Bordeaux, France.
Ronan RousselInstitut Necker-Enfants Malades, Université Paris Cité, INSERM UMR-S1151, CNRS UMR-S8253, Paris, France.
Marion CamoinDepartment of Diabetology, Endocrinology and Nutrition, Assistance Publique - Hôpitaux de Paris, Bichat Hospital, Paris, France.
Gianluca PerseghinSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Gilberto Velho *Institut Necker-Enfants Malades, Université Paris Cité, INSERM UMR-S1151, CNRS UMR-S8253, Paris, France.
Louis Potier *Institut Necker-Enfants Malades, Université Paris Cité, INSERM UMR-S1151, CNRS UMR-S8253, Paris, France. louis.potier@aphp.fr.
Centre National de la Recherche Scientifique · FRInserm · FRInstitut national de recherche en informatique et en automatique · FRUniversity of Milano-Bicocca · ITAssistance Publique – Hôpitaux de Paris · FRInstitut Necker Enfants Malades · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular risk and body-weight management are both emerging challenges of type 1 diabetes care. We evaluated the association between intraindividual variability of body-weight and risk of cardiovascular events in people with type 1 diabetes.

methodsWe analyzed 1,398 participants from the DCCT/EDIC studies. Five indices of intraindividual variability of body-weight were calculated for each participant taking into account body-weight measures obtained during the DCCT follow-up (average 6 ± 2 years). The Average Successive Variability (ASV) index, the main variable of interest, was defined as the average absolute difference between successive body-weight measures. The primary outcome was a composite of major adverse cardiovascular events (MACE: nonfatal myocardial infarction or stroke, or cardiovascular death) occurring during the subsequent EDIC follow-up (20 ± 3 years). All-cause death was a secondary outcome. Risk of outcomes were assessed by Cox proportional hazards regression analyses, adjusted for traditional cardiovascular risks factors, including BMI.

resultsThe cumulative incidence of MACE and all-cause death during follow-up were 5.6% (n = 79) and 6.8% (n = 95), respectively. The adjusted Hazard Ratio (HR) for MACE by every increase of 1 standard deviation (SD) of ASV was 1.34 (95% CI, 1.06-1.66), p = 0.01. For all-cause death, the adjusted HR for 1 SD increase of ASV was 1.25 (1.03-1.50), p = 0.03. Similar results were observed when considering the other indices of intraindividual variability of body-weight.

conclusionsHigh body-weight variability (body-weight cycling) is associated with increased risk of MACE and all-cause death in people with type 1 diabetes, independently of the BMI and traditional cardiovascular risk factors.

Indexed as

Cardiovascular SystemDiabetes Mellitus, Type 1Myocardial InfarctionBody WeightHumansRetrospective StudiesRisk FactorsCardiovascular riskMortalityType 1 diabetesWeight variation

Identifiers

PMID36397092
PMCPMC9670666
OpenAlexW4309514819

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.