Evidence map›Paper›PMID 17537951›Full record

ArticleJournal of clinical microbiology2007

Simplified and reliable scheme for species-level identification of Staphylococcus clinical isolates.

Natalia Lopes Pontes Iorio, Rosana Barreto Rocha Ferreira, Ricardo Pinto Schuenck, Karoline Lourenco Malvar, Anike Pereira Brilhante, Ana Paula Ferreira Nunes, Carla Callegário Reis Bastos, Kátia Regina Netto Dos Santos

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  4. Frontiers in microbiology · 2019
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  9. Reliability of the MicroScan WalkAway PC21 panel in identifying and detecting oxacillin resistance in clinical coagulase-negative staphylococci strains.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2014
    Article
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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.

Natalia Lopes Pontes IorioInstitute of Microbiology, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Rosana Barreto Rocha Ferreira
Ricardo Pinto Schuenck
Karoline Lourenco Malvar
Anike Pereira Brilhante
Ana Paula Ferreira Nunes
Carla Callegário Reis Bastos
Kátia Regina Netto Dos Santos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable and rapid identification of staphylococcal strains continues to be a problem faced by many microbiology laboratories. This study evaluates a simplified method that uses a flowchart to assist in the identification of 12 clinical species of Staphylococcus, including eight subspecies. A total of 198 isolates and 11 control strains were identified by the reference method, which employed 22 tests. The results were compared with those obtained by two other methods: an automated system (MicroScan WalkAway) and a simplified method composed of nine tests. The simplified scheme showed an accuracy of 98.5%, while the automated method showed an accuracy of 79.3% (P < 0.001), in identifying staphylococcal species. Atypical phenotypic profiles were detected by both the reference (55.6%) and the simplified (19.7%) methods. The simplified method proposed here was shown to be reliable, with the advantage of being more practical and economic than the reference method.

Indexed as

Bacterial Typing TechniquesHumansSensitivity and SpecificityStaphylococcal InfectionsStaphylococcus

Identifiers

PMID17537951
PMCPMC1951236

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.