Evidence map›Paper›PMID 33209125›Full record

ArticleExperimental and therapeutic medicine2020

Analysis on the pathogenic fungi in patients with superficial mycosis in the Northeastern China during 10 years.

Xiufen Wang, Changrui Ding, Yulong Xu, Haomiao Yu, Songdi Zhang, Cuiyun Yang

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  3. Observational
  4. Review
  5. 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

6 authors at 1 institution in 1 country.

Xiufen WangDepartment of Dermatology, The First Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161041, P.R. China.
Changrui DingDepartment of Dermatology, The First Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161041, P.R. China.
Yulong XuDepartment of Dermatology, The First Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161041, P.R. China.
Haomiao YuDepartment of Dermatology, The First Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161041, P.R. China.
Songdi ZhangDepartment of Dermatology, The First Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161041, P.R. China.
Cuiyun YangDepartment of Dermatology, The First Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang 161041, P.R. China.
Qiqihar Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzed the infection of superficial mycosis and the relationship between the distribution characteristics of pathogenic fungi and age, time and sex in Northeast China in the past 10 years. We would like to provide a theoretical basis for the diagnosis and treatment of related diseases. From December 2008 to December 2018, 5,374 superficial mycoses from Northeast China were selected. The fungal species were identified by fungal microscopy, fungal culture, and species identification. Besides, the relationship between sex, age, time and the distribution of superficial mycosis and pathogenic fungi was analyzed. Among the 5,374 patients, the top three infections were tinea pedis (n=1,538, 28.62%), tinea cruris (n=1,018, 18.94%) and tinea corporis (n=938, 17.45%). The top three pathogens were

Indexed as

distributionNortheast Chinapathogenic fungisuperficial mycosis

Identifiers

PMID33209125
PMCPMC7668139
OpenAlexW3095889646

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.