Evidence map›Paper›PMID 18693825›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2007

An ontology of bacteria to help physicians to compare antibacterial spectra.

Catherine Duclos, Jérome Nobécourt, Gian Luigi Cartolano, Anis Ellini, Alain Venot

Abstract readEvaluation Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2007. 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

5 authors.

Catherine DuclosLaboratoire d'Informatique Médicale et de Bioinformatique, Université Paris XIII, France.
Jérome Nobécourt
Gian Luigi Cartolano
Anis Ellini
Alain Venot

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

General practitioners (GPs) may lack specialist microbiological knowledge, making it difficult for them to use documents concerning antibacterial spectra provided by French health authorities. We have developed a tool to help GPs to compare antibacterial spectra, based on an ontology of bacteria generated using OWL-DL language. This tool makes it possible to search for information concerning the antibiotic susceptibility of given bacteria, regardless of the way in which this information is expressed in the document. Applied to the whole document, the tool made 4528 spectra explicit, whereas only 3471 could be understood without microbiological reasoning. A preliminary study showed that the performance of this tool was similar to that of an expert microbiologist (94 to 98% correct responses) and better than that of unassisted GPs (84-90% correct responses).

Indexed as

Vocabulary, ControlledAnti-Bacterial AgentsBacteriaFamily PracticeFranceHumansMicrobial Sensitivity TestsMicrobiologyAnti-Bacterial Agents

Identifiers

PMID18693825
PMCPMC2655804

What Socratic 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 Socratic graph.