Evidence mapPaperPMID 40108310Full record

ArticleNPJ digital medicine2025

Credibility assessment of a mechanistic model of atherosclerosis to predict cardiovascular outcomes under lipid-lowering therapy.

Yishu Wang, Eulalie Courcelles, Emmanuel Peyronnet, Solène Porte, Alizée Diatchenko, Evgueni Jacob, Denis Angoulvant, Pierre Amarenco, Franck Boccara, Bertrand Cariou and 7 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Yishu Wang *Nova in silico, Lyon, France.
Eulalie Courcelles *Nova in silico, Lyon, France.
Emmanuel PeyronnetNova in silico, Lyon, France.
Solène PorteNova in silico, Lyon, France.
Alizée DiatchenkoNova in silico, Lyon, France.
Evgueni JacobNova in silico, Lyon, France.
Denis AngoulvantCardiology department, Hôpital Trousseau, CHRU de Tours & UMR Inserm 1327 ISCHEMIA "Membrane Signaling and Inflammation in Reperfusion Injuries" Université de Tours, F37000, Tours, France.
Pierre AmarencoDepartment of Neurology and Stroke center, APHP, Bichat Hospital, Université Paris-Cité, Paris, France and McMaster University, Population Health Research Institute, Hamilton, ON, Canada.
Franck BoccaraSorbonne Université, GRC n°22, C2MV-Complications Cardiovasculaires et Métaboliques chez les patients vivant avec le Virus de l'immunodéficience humaine, Inserm UMR_S 938, Centre de Recherche Saint-Antoine, Institut Hospitalo-Universitaire de Cardio-métabolisme et Nutrition (ICAN), Cardiologie, Hôpital Saint Antoine AP-HP, Paris, France.
Bertrand CariouNantes Université, CHU Nantes, CNRS, Inserm, l'institut du thorax, F-44000, Nantes, France.
Guillaume MahéVascular Medicine Unit, CHU Rennes, Univ Rennes, CIC1414, M2S-EA 7470, Rennes, France.
Philippe Gabriel StegUniversité Paris-Cité, AP-HP, Hôpital Bichat, and INSERM U-1148/LVTS, Paris, France.
Alexandre BastienNovartis Pharma SAS, Rueil-Malmaison, France.
Lolita PortalNovartis Pharma SAS, Rueil-Malmaison, France.
Jean-Pierre BoisselNova in silico, Lyon, France.
Solène Granjeon-NoriotNova in silico, Lyon, France.
Emmanuelle BechetNova in silico, Lyon, France. emmanuelle.bechet@novainsilico.ai.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Demonstrating cardiovascular (CV) benefits with lipid-lowering therapy (LLT) requires long-term randomized clinical trials (RCTs) with thousands of patients. Innovative approaches such as in silico trials applying a disease computational model to virtual patients receiving multiple treatments offer a complementary approach to rapidly generate comparative effectiveness data. A mechanistic computational model of atherosclerotic cardiovascular disease (ASCVD) was built from knowledge, describing lipoprotein homeostasis, LLT effects, and the progression of atherosclerotic plaques leading to myocardial infarction, ischemic stroke, major acute limb event and CV death. The ASCVD model was successfully calibrated and validated, and reproduced LLT effects observed in selected RCTs (ORION-10 and FOURIER for calibration; ORION-11, ODYSSEY-OUTCOMES and FOURIER-OLE for validation) on lipoproteins and ASCVD event incidence at both population and subgroup levels. This enables the future use of the model to conduct the SIRIUS programme, which intends to predict CV event reduction with inclisiran, an siRNA targeting hepatic PCSK9 mRNA.

Identifiers

PMID40108310
PMCPMC11923190

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.