Evidence map›Paper›PMID 41879947›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2026

Ten-Year Trends in Healthcare Use and Costs for People Living with Diabetes in France: Results from the Epicodiab Study Based on National Claims Data.

Michael Joubert, Pierre Serusclat, Emilie Casarotto, Oriane Bretin, Barbara Roux, Pascaline Rabiéga, Yolaine Rabat, Cécile Berteau, Antoine Pouyet, Guy Fagherazzi

Abstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Michael JoubertDiabetes Care Unit, Caen University Hospital, UNICAEN, Caen, France.ORCID http://orcid.org/0000-0002-8731-7355
Pierre SerusclatEndocrinology, Diabetology and Nutrition, Clinique Portes du Sud, Venissieux, France.
Emilie CasarottoIQVIA, RWS, La Défense, Paris, France.ORCID http://orcid.org/0000-0003-1891-417X
Oriane BretinIQVIA, RWS, La Défense, Paris, France.
Barbara RouxIQVIA, RWS, La Défense, Paris, France.ORCID http://orcid.org/0000-0002-0303-1246
Pascaline RabiégaIQVIA, RWS, La Défense, Paris, France.
Yolaine RabatIQVIA, RWS, La Défense, Paris, France.
Cécile BerteauRoche Diagnostics France, Melun, France.
Antoine PouyetTimkl, Montbonnot-Saint-Martin, France.
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, 1445, Strassen, Luxembourg. guy.fagherazzi@lih.lu.ORCID http://orcid.org/0000-0001-5033-5966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes remains a global public health concern, with increased prevalence and a significant economic burden. Yet, most studies do not differentiate between type 1 (T1D) and type 2 diabetes (T2D), despite distinct clinical trajectories and care needs. This study aimed to provide up-to-date data on healthcare use and diabetes care-related costs in France from 2011 to 2019 by type of diabetes.

methodsA 10-year retrospective study was conducted on adults identified with T1D and T2D between 1 January 2010, and 31 December 2019, in a 1/10th sample of the French nationwide claims database (SNDS, Système National des Données de Santé). In the hospital database, reimbursement data are available only from 2011, so resource use and cost analyses were conducted starting from 2011 to 2019 in this present study. Diabetes was identified through hospital diagnoses, specific treatments, and/or long-term conditions. A machine-learning algorithm was specifically developed through a linkage between SNDS data and primary data from a network of French general practitioners to better predict the type of diabetes.

resultsIn 2019, among the 290,486 treated individuals, 12,102 (4.2%) had T1D, 62,479 (21.5%) had insulin-treated type 2 diabetes (T2Di), and 215,905 (74.3%) had noninsulin-treated type 2 diabetes (T2Dni). Average total reimbursed costs per individual varied significantly by diabetes group: €10,033 (T1D), €13,424 (T2Di), and €5091 (T2Dni), primarily owing to primary care settings (63.6% to 71.8% of the total cost). Between 2011 and 2019, total reimbursement costs increased (+ 9.6% for T1D, + 29.8% for T2Di, and + 13.8% for T2Dni), while average cost per individual decreased (-9.6% for T1D, -7.7% for T2Di, and -1.0% for T2Dni).

conclusionsAs its prevalence continues to rise, the economic burden of diabetes also grows overall, despite the reduction in individual costs.

Indexed as

CostsDiabetesHealthcare consumptionInsulin treatmentSNDSType 1 diabetesType 2 diabetes

Identifiers

PMID41879947
PMCPMC13156334

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.