Evidence map›Paper›PMID 9276400›Full record

ArticleJournal of clinical microbiology1997

Characterization of Scedosporium prolificans clinical isolates by randomly amplified polymorphic DNA analysis.

R San Millán, G Quindós, J Garaizar, R Salesa, J Guarro, J Pontón

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Infections caused by Scedosporium spp.Clinical microbiology reviews · 2008
    Review
  4. Article
  5. Article
  6. Article
  7. Developments in fungal taxonomy.Clinical microbiology reviews · 1999
    Review
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

6 authors.

R San MillánDepartamento de Immunología, Microbiologia y Parasitología, Facultad de Medicina y Odontología, Universidad del País Vasco, Bilbao, Vizcaya, Spain.
G Quindós
J Garaizar
R Salesa
J Guarro
J Pontón

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fingerprinting by randomly amplified polymorphic DNA (RAPD) analysis was used to differentiate Scedosporium prolificans isolates. A total of 59 arbitrary primers were screened with six unrelated S. prolificans isolates, and a panel of 12 primers was selected. The 12 primers were then used to detect DNA polymorphisms among 17 S. prolificans isolates from 11 patients with systemic S. prolificans infections diagnosed in three hospitals located in geographically different areas of Spain. Eight patients were diagnosed with S. prolificans infection in a single institution over a 6-year period, and two other patients were diagnosed with S. prolificans infection in a different hospital over a 1-year period. No single primer allowed for the discrimination of all the isolates from different patients, but this was possible by combining the RAPD patterns from three primers (UBC 701, AB1.08, and AB1.11 or UBC 701, AB1.08, and UBC 707). However, multiple isolates from the same patient were identical. In this study, we also compared a visual method and a computerized method for the analysis of the RAPD patterns. Both methods were satisfactory and gave few discordances, but given the advantages and disadvantages of each method, both systems should be used together. RAPD analysis provided a fast and economical means of typing S. prolificans isolates, with a high level of discrimination among unrelated isolates. Typing by RAPD analysis confirmed that the S. prolificans infections were epidemiologically unrelated.

Indexed as

Random Amplified Polymorphic DNA TechniqueDNA PrimersElectronic Data ProcessingGenome, FungalHumansMitosporic FungiMolecular EpidemiologyMycosesDNA Primers

Identifiers

PMID9276400
PMCPMC229952

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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.