Evidence map›Paper›PMID 30745953›Full record

ArticleOpen access Macedonian journal of medical sciences2019

Distribution of Malassezia Species from Scales of Patient with Pityriasis Versicolor by Culture in Vietnam.

Van Tran Cam, Thuong Nguyen Van, Khang Tran Hau, Doanh Le Huu, Phuong Pham Thi Minh, Sau Nguyen Huu, Thu Nguyen Minh, Marco Gandolfi, Francesca Satolli, Claudio Feliciani and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Open access Macedonian journal of medical sciences, 2019. 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
0.5field-weighted citation impact, top 34% of its field
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, 6 citations in OpenAlex.

  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

13 authors at 4 institutions in 3 countries.

Van Tran CamNational Hospital of Dermatology and Venereology, Hanoi, Vietnam.
Thuong Nguyen VanNational Hospital of Dermatology and Venereology, Hanoi, Vietnam.
Khang Tran HauNational Hospital of Dermatology and Venereology, Hanoi, Vietnam.
Doanh Le HuuNational Hospital of Dermatology and Venereology, Hanoi, Vietnam.
Phuong Pham Thi MinhNational Hospital of Dermatology and Venereology, Hanoi, Vietnam.
Sau Nguyen HuuNational Hospital of Dermatology and Venereology, Hanoi, Vietnam.
Thu Nguyen MinhNational Hospital of Dermatology and Venereology, Hanoi, Vietnam.
Marco GandolfiUnit of Dermatology, University of Parma, Parma, Italy.
Francesca SatolliUnit of Dermatology, University of Parma, Parma, Italy.
Claudio FelicianiUnit of Dermatology, University of Parma, Parma, Italy.
Michael TirantUniversity of Rome G. Marconi, Rome, Italy.
Aleksandra VojvodicDepartment of Dermatology and Venereology, Military Medical Academy of Belgrade, Belgrade, Serbia.
Torello LottiPsoriasis Eczema Clinic, Melbourne, Australia.
National Hospital of Pediatrics · VNUniversity of Parma · ITMarconi University · ITMilitary Medical Academy · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe detection of pathogenic fungus is an important step and key to assessing the sensitivity of the antifungal drugs, and therefore choosing an effective treatment method.

aimTo identify Malassezia species from scales of a patient with pityriasis versicolor.

methodsThree hundred patients with pityriasis versicolor who were positive with direct examination, were isolated by culture.

resultsIdentification of Malassezia species by culture: the growth rate was 90.3%; the detection rate was 97.0%, including 11 species:

conclusion

Indexed as

Malassezia sppPityriasis versicolorYeast

Identifiers

PMID30745953
PMCPMC6364713
OpenAlexW2912418997

What OpenQuestion holds

Textmetadata
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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.