Evidence map›Paper›PMID 39285445›Full record

ArticleCardiovascular diabetology2024

Sex inequalities in cardiovascular risk factors and their management in primary prevention in adults living with type 1 diabetes in Germany and France: findings from DPV and SFDT1.

Emmanuel Cosson, Marie Auzanneau, Gloria A Aguayo, Wolfram Karges, Jean-Pierre Riveline, Petra Augstein, Laura Sablone, Peter Jehle, Guy Fagherazzi, Reinhard W Holl and 1 more

Abstract readMulticenter StudyComparative Study
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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.

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

9 citing papers in PubMed.

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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.

Emmanuel CossonDepartment of Endocrinology-Diabetology-Nutrition, AP-HP, Avicenne Hospital, Université Paris 13, Sorbonne Paris Cité, CRNH-IdF, CINFO, 125 Rue de Stalingrad, 93000, Bobigny cedex, France. emmanuel.cosson@aphp.fr.
Marie AuzanneauInstitute of Epidemiology and Medical Biometry, CAQM, Ulm University, Ulm, Germany.
Gloria A AguayoDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg.
Wolfram KargesDivision of Endocrinology and Diabetes, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Jean-Pierre RivelineAP-HP, Centre Universitaire du diabète et de ses complications, Lariboisière Hospital, Université Paris-Cité, Île-de-France, 75010, Paris, France.
Petra AugsteinHeart and Diabetes Center Karlsburg, Department for Diabetes and Metabolism, Karlsburg, Germany.
Laura SabloneFrancophone Foundation for Diabetes Research, 60 rue Saint-Lazare, 75009, Paris, France.
Peter JehleDepartment of Internal Medicine I, Martin Luther University Halle-Wittenberg, Hospital Paul Gerhadt Stift, Lutherstadt Wittenberg, Germany.
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg.
Reinhard W HollInstitute of Epidemiology and Medical Biometry, CAQM, Ulm University, Ulm, Germany.
DPV initiative and the SFDT1 study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION &

objectivesTo evaluate whether cardiovascular risk factors and their management differ in primary prevention between adult males and females with type 1 diabetes (T1D) in two European countries in 2020-2022 and sex inequalities in achievement of standards of care in diabetes.

methodsWe used 2020-2022 data of patients without a cardiovascular history in the Prospective Diabetes Follow-up registry (DPV) centres, in Germany, and the Société Francophone du Diabète- Cohorte Diabète de Type 1 cohort (SFDT1), in France.

resultsWe included 2,657 participants from the DPV registry and 1,172 from the SFDT1 study. Body mass indexes were similar in females and males with similar proportions of HbA1c < 7% (DPV: 36.6 vs 33.0%, p = 0.06, respectively; SFDT1: 23.4 vs 25.7%, p = 0.41). Females were less overweight compared to men in DPV (55.4 vs 61.0%, p < 0.01) but not in SFDT1 (48.0 vs 44.9%, p = 0.33) and were less prone to smoke (DPV: 19.7 vs 25.8%, p < 0.01; SFDT1: 21.0 vs 26.0%, p = 0.07). Systolic blood pressure was lower in females than males with a higher rate of antihypertensive therapy in case of hypertension in females in DPV (70.5 vs 63.7%, p = 0.02) but not in SFDT1 (73.3 vs 68.6%, p = 0.64). In the case of microalbuminuria, ACEi-ARB were less often prescribed in women than men in DPV (21.4 vs 37.6%, p < 0.01) but not SFDT1 (73.3 vs 67.5.0%, p = 0.43). In females compared to males, HDL-cholesterol levels were higher; triglycerides were lower in both countries. In those with LDL-cholesterol > 3.4 mmol/L (DPV: 19.9 (females) vs 23.9% (males), p = 0.01; SFDT1 17.0 vs 19.2%, p = 0.43), statin therapy was less often prescribed in females than males in DPV (7.9 vs 17.0%, p < 0.01), SFDT1 (18.2 vs 21.0%, p = 0.42).

conclusionIn both studies, females in primary prevention have a better cardiovascular risk profile than males. We observed a high rate of therapeutic inertia, which might be higher in females for statin treatment and nephroprotection with ACEi-ARB, especially in Germany. Diabetologists should be aware of sex-specific differences in the management of cardiorenal risk factors to develop more personalized prevention strategies.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 1Healthcare DisparitiesHealth Status DisparitiesHeart Disease Risk FactorsPrimary PreventionRegistriesAdultBiomarkersFemaleFranceGermanyHumansHypoglycemic AgentsMaleMiddle AgedBiomarkersHypoglycemic AgentsBlood pressureBody mass indexCardiovascularGenderLipidsReal-world-evidenceRegistrySexSmokingType 1 diabetes

Identifiers

PMID39285445
PMCPMC11406774

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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.