Evidence map›Paper›PMID 39447184›Full record

ArticleEmerging infectious diseases2024

Computerized Decision Support Systems Informing Community-Acquired Pneumonia Surveillance, France, 2017-2023.

Tristan Delory, Josselin Le Bel, Raphaëlle Métras, Caroline Guerrisi, Ilona E Suhanda, Elisabeth Bouvet, Sylvie Lariven, Pauline Jeanmougin

Abstract readHistorical Article
In one paragraph

Article in Emerging infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Tristan Delory
Josselin Le Bel
Raphaëlle Métras
Caroline Guerrisi
Ilona E Suhanda
Elisabeth Bouvet
Sylvie Lariven
Pauline Jeanmougin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We show the value of real-time data generated by a computerized decision support system in primary care in strengthening pneumonia surveillance. The system showed a 66% (95% CI 64%-67%) increase in community-acquired pneumonia from 2018 to 2023 for the population of France, 1 month before a national alert was issued.

Indexed as

Community-Acquired InfectionsPneumoniaDecision Support Systems, ClinicalFranceHistory, 21st CenturyHumansPopulation Surveillanceantimicrobial resistancebacteriacommunity-acquired pneumoniacomputerized decision support systemFrancegroup A StreptococcusLyme diseaseMycoplasma pneumoniaepneumoniapreparednessprimary caresurveillance

Identifiers

PMID39447184
PMCPMC11521177

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.