Evidence map›Paper›PMID 31933647›Full record

ArticleInternational journal of microbiology2019

A Comparative Study on Phenotypic versus ITS-Based Molecular Identification of Dermatophytes Isolated in Dakar, Senegal.

Khadim Diongue, Ludivine Bréchard, Mamadou Alpha Diallo, Mame Cheikh Seck, Mouhamadou Ndiaye, Aida Sadikh Badiane, Stéphane Ranque, Daouda Ndiaye

Open access · goldAbstract read
In one paragraph

Article in International journal of microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Predominance ofJournal of fungi (Basel, Switzerland) · 2024
    Article
  3. Article
  4. Evaluation of the Multiplex Real-Time PCR DermaGeniusJournal of fungi (Basel, Switzerland) · 2021
    Article
  5. 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 at 2 institutions in 2 countries.

Khadim DiongueLaboratoire de Parasitologie-Mycologie, CHU Aristide Le Dantec, BP 5005, Dakar, Senegal.ORCID https://orcid.org/0000-0002-7033-1169
Ludivine BréchardInstitut Hospitalo-Universitaire Méditerranée Infection, 13 005 Marseille, France.
Mamadou Alpha DialloLaboratoire de Parasitologie-Mycologie, CHU Aristide Le Dantec, BP 5005, Dakar, Senegal.
Mame Cheikh SeckLaboratoire de Parasitologie-Mycologie, CHU Aristide Le Dantec, BP 5005, Dakar, Senegal.
Mouhamadou NdiayeLaboratoire de Parasitologie-Mycologie, CHU Aristide Le Dantec, BP 5005, Dakar, Senegal.
Aida Sadikh BadianeLaboratoire de Parasitologie-Mycologie, CHU Aristide Le Dantec, BP 5005, Dakar, Senegal.
Stéphane RanqueInstitut Hospitalo-Universitaire Méditerranée Infection, 13 005 Marseille, France.
Daouda NdiayeLaboratoire de Parasitologie-Mycologie, CHU Aristide Le Dantec, BP 5005, Dakar, Senegal.
Hôpital Aristide Le Dantec · SNMéditerranée Infection Foundation · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classically, dermatophytes are identified by phenotypic methods even if these methods, sometimes, remain difficult or uncertain. On the other hand, nucleotide sequence analysis of internal transcribed spacers (ITS) of rDNA has proved to be a useful method for identification of dermatophytes. The objective of this study was to compare the phenotypic method with DNA sequencing of the ITS regions for identification of dermatophyte species isolated in Dakar, Senegal. A collection of thirty-two strains of dermatophytes were isolated from patients suffering from dermatophytosis. Mycological identification revealed

Identifiers

PMID31933647
PMCPMC6942864
OpenAlexW2996540589

What OpenQuestion holds

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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.