Evidence map›Paper›PMID 42832782›Full record

ArticleJMIR research protocols2026

RESONANCE: Protocol for a Nationwide Cohort Study of Chronic Liver Diseases Using the French National Health Data System.

Aurore Baron, Laure Tron, Frédéric Balusson, Vaele Zannou, Victoria Mignot, Anne Ego, Anna Borowick, Thomas Decaens, Emmanuel Oger, Sébastien Bailly and 1 more

Abstract read
In one paragraph

Article in JMIR research protocols, 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

11 authors.

Aurore Baron *Université Grenoble Alpes, Institute for Advanced Biosciences, Research Center UGA Inserm U 1209 - CNRS UMR 5309, Team Cell Dynamics, Metabolism & Cancer (DIMAC), Grenoble, Île-de-France, France.ORCID https://orcid.org/0009-0007-0646-9810
Laure Tron *Université Grenoble Alpes, Institute for Advanced Biosciences, Research Center UGA Inserm U 1209 - CNRS UMR 5309, Team Cell Dynamics, Metabolism & Cancer (DIMAC), Grenoble, Île-de-France, France.ORCID https://orcid.org/0000-0002-2091-6652
Frédéric BalussonPharmacovigilance and Pharmacoepidemiology, CHU Rennes, Rennes, France.ORCID https://orcid.org/0000-0001-6684-1361
Vaele ZannouUniversité Grenoble Alpes, Institute for Advanced Biosciences, Research Center UGA Inserm U 1209 - CNRS UMR 5309, Team Cell Dynamics, Metabolism & Cancer (DIMAC), Grenoble, Île-de-France, France.ORCID https://orcid.org/0009-0003-3339-0455
Victoria MignotUniversité Grenoble Alpes, Institute for Advanced Biosciences, Research Center UGA Inserm U 1209 - CNRS UMR 5309, Team Cell Dynamics, Metabolism & Cancer (DIMAC), Grenoble, Île-de-France, France.ORCID https://orcid.org/0009-0006-5283-1094
Anne EgoUniversité Grenoble Alpes, Pôle Santé Publique, Centre Hospitalier Universitaire de Grenoble, Grenoble, France.ORCID https://orcid.org/0000-0002-1025-910X
Anna BorowickUniversité Grenoble Alpes, Hepato-Gastroenterology and Digestive Oncology Department, CHU Grenoble Alpes, La Tronche, Grenoble, France.ORCID https://orcid.org/0000-0003-2207-8311
Thomas DecaensUniversité Grenoble Alpes, Hepato-Gastroenterology and Digestive Oncology Department, CHU Grenoble Alpes, La Tronche, Grenoble, France.ORCID https://orcid.org/0000-0003-0928-0048
Emmanuel OgerPharmacovigilance and Pharmacoepidemiology, CHU Rennes, Rennes, France.ORCID https://orcid.org/0000-0001-9837-2977
Sébastien BaillyUniversité Grenoble Alpes, HP2 Laboratory, Inserm U1300, Grenoble, France.ORCID https://orcid.org/0000-0002-2179-4650
Charlotte CostentinUniversité Grenoble Alpes, Institute for Advanced Biosciences, Research Center UGA Inserm U 1209 - CNRS UMR 5309, Team Cell Dynamics, Metabolism & Cancer (DIMAC), Grenoble, Île-de-France, France.ORCID https://orcid.org/0000-0001-6115-8512

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic liver diseases (CLDs) are frequent in Europe, including in France, and are mainly driven by alcohol, metabolic dysfunction (diabetes and obesity), and viral hepatitis. Although risk factors are well established and easy to identify, CLDs are frequently diagnosed at an advanced stage, translating into poor prognosis. Descriptive data on CLD burden in France remain scarce, and health trajectories of these patients are uncharted. However, such data are crucial to guide clinical practice, to determine the target population for personalized public health policies, and to develop innovative strategies to reduce inequities in access to health care and ultimately improve survival.

objectiveThe aim of the French RESONANCE cohort is to provide a detailed description of CLD burden in France and study health trajectories.

methodsThe RESONANCE cohort was derived from the French National Health Data System (Système National des Données de Santé [SNDS]). Patients with at least one CLD-specific ICD-10 (International Statistical Classification of Diseases, Tenth Revision) code (including primary liver cancer [PLC] and rare diseases), or related procedure, biology, or drug and/or a cause of death related to one of these ICD-10 codes, were targeted from the 2% representative SNDS sample (ESND [Échantillon du Système National des Données], Simplified Sample of the French National Health Data System). Demographic characteristics, risk factors, comorbidities, etiologies, social environment and health care accessibility, as well as severity of the liver disease at first identification and medical management, were assessed. This paper describes the procedures used to build the cohort, outlines main variables, and defines the research objectives.

resultsOverall, 26,663 incident and prevalent CLD cases identified between 2015 and 2021 were included in the RESONANCE cohort. Men accounted for 58.1% (15,490) of the cohort, and the mean age was 59.9 (SD 17.4) years. The cohort covers a broad spectrum of etiologies, including alcohol-related liver disease (7580/26,663, 28.4%), metabolic-associated liver disease (6030/26,663, 24.8%), viral hepatitis (3450/26,663, 12.9%), and rare liver diseases (839/26,663, 3.1%). A total of 43% (11,461/26,663) of the patients lived in a socially deprived environment (according to the 4th and 5th quintiles of the French Deprivation Index).

conclusionsThis paper will enable a detailed, real-world analysis of epidemiology, care trajectories, and outcomes of CLDs across France. With a particular focus on gender and socioeconomic disparities, it offers a unique opportunity to identify vulnerable populations and inform proportionate universalism strategies in prevention and care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/89577.

Indexed as

Liver DiseasesAdultChronic DiseaseCohort StudiesFemaleFranceHumansMaleMiddle AgedRisk Factorsadministrative health datachronic liver diseasesepidemiologyFrench National Health Data Systemhealth care trajectoriespopulation-based cohortreal-world dataSNDS

Identifiers

PMID42832782
PMCPMC13680907

What OpenQuestion holds

Textmetadata
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.