Evidence map›Paper›PMID 7494029›Full record

ArticleJournal of clinical microbiology1995

Use of random amplified polymorphic DNA as a typing method for Candida albicans in epidemiological surveillance of a burn unit.

F Robert, F Lebreton, M E Bougnoux, A Paugam, D Wassermann, M Schlotterer, C Tourte-Schaefer, J Dupouy-Camet

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 1995. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  17. Mixed Candida glabrata and Candida albicans disseminated candidiasis in a heroin addict.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 1997
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  18. 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.

F RobertLaboratoire de Parasitologie, Hôpital Cochin, Paris, France.
F Lebreton
M E Bougnoux
A Paugam
D Wassermann
M Schlotterer
C Tourte-Schaefer
J Dupouy-Camet

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Burn patients are particularly exposed to deep-seated nosocomial infections caused by Candida species. Superficial carriage of C. albicans is a potential source of infection and dissemination, and typing methods could be useful to trace the different isolates. We report the use of random amplified polymorphic DNA to type isolates of C. albicans in the Hôpital Cochin burn unit. This molecular typing method, which is based on PCR with arbitrary short primers, was evaluated on a panel of 32 C. albicans strains isolated from various anatomical sites of unrelated patients, and the strains showed 22 different patterns. Random amplified polymorphic DNA was then used in the epidemiological surveillance of the patients in the burn unit over a 9-month period. Seven patterns were identified among 84 isolates from 18 patients. One pattern (pattern A) corresponding to isolates from 7 of the 18 patients (68% of isolates) predominated throughout the 9-month study, while some strains with other profiles were isolated only once. Some profiles appeared to show a particular geographic pattern within the unit, suggesting transmission from room to room. These results underline the importance of fungal surveillance in such patients and the need to inform nursing staff of measures to prevent the spread of Candida spp. from patient to patient.

Indexed as

Burn UnitsBurnsCandida albicansCandidiasisCross InfectionDNA, FungalHumansPatient IsolatorsPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthPopulation SurveillanceProspective StudiesSerotypingDNA, Fungal

Identifiers

PMID7494029
PMCPMC228413

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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.