Evidence map›Paper›PMID 40319191›Full record

ArticleScientific reports2025

Computerised decision support system towards informing Lyme borreliosis incidence in France.

Ilona Eveline Suhanda, Josselin Le Bel, Camille Bonnet, Titouan Launay, Younjung Kim, Tristan Delory, Raphaëlle Métras

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
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

7 authors.

Ilona Eveline SuhandaSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, F75012, Paris, France. ilona.suhanda@iplesp.upmc.fr.
Josselin Le BelAntibioclic Steering Committee, Paris, France.
Camille BonnetSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, F75012, Paris, France.
Titouan LaunaySorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, F75012, Paris, France.
Younjung KimSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, F75012, Paris, France.
Tristan DelorySorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, F75012, Paris, France.
Raphaëlle MétrasSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, F75012, Paris, France.

Funding

Agence Nationale de la Recherche ANR-22-CE35-0003
6 · The paper itself

Abstract

In Europe, the estimation of Lyme borreliosis (LB) incidence is challenged by its heterogeneous reporting. In France, LB incidence is estimated from cases reported voluntarily to the Sentinelles network through general practitioners (GPs). Here, we explored how a computerised decision support system (CDSS), Antibioclic, with higher GPs participation and country-wide coverage, can inform further LB incidence. We derived the incidence of LB Antibioclic indicators (with either erythema migrans or disseminated disease), surveyed Antibioclic usage for suspect cases seen in GP consultations, and compared those estimates with the Sentinelles network estimations. In 2023, the incidence of Antibioclic LB indicators (290 per 100,000 inhabitants; CI95%, 277-303) was almost five times higher than LB incidence from the Sentinelles network, but sharing similar higher-incidence regions. Antibioclic LB indicators under-estimated the incidence of suspect cases seen in higher-incidence regions, while in lower-risk regions, Antibioclic estimation was closer to observed suspect cases. Refine estimates would benefit from improved follow up over time and space while improving case definition.

Indexed as

Decision Support Systems, ClinicalLyme DiseaseFranceHumansIncidenceComputerised decision support system (CDSS)Incidence estimationLyme borreliosisSpatial analysis

Identifiers

PMID40319191
PMCPMC12049454

What OpenQuestion holds

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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.