Evidence map›Paper›PMID 26446032›Full record

ArticleMycopathologia2016

Etiological Analysis of Fungal Keratitis and Rapid Identification of Predominant Fungal Pathogens.

Dan He, Jilong Hao, Song Gao, Xue Wan, Wanting Wang, Qiushi Shan, Li Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Mycopathologia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

12 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Recent Perspectives in the Management of Fungal Keratitis.Journal of fungi (Basel, Switzerland) · 2021
    Review
  8. Article
  9. Article
  10. An Omics Approach to Diagnosing or Investigating Fungal Keratitis.International journal of molecular sciences · 2019
    Review
  11. Article
  12. Review of clinical and basic approaches of fungal keratitis.International journal of ophthalmology · 2016
    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

7 authors at 2 institutions in 1 country.

Dan HeDepartment of Pathogenobiology, Jilin University Mycology Research Center, Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, No. 126 Xinmin Street, Changchun City, Jilin Province, 130021, China.
Jilong HaoDepartment of Ophthalmology, First Hospital of Jilin University, Changchun City, 130021, China.
Song GaoDepartment of Pathogenobiology, Jilin University Mycology Research Center, Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, No. 126 Xinmin Street, Changchun City, Jilin Province, 130021, China.
Xue WanDepartment of Pathogenobiology, Jilin University Mycology Research Center, Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, No. 126 Xinmin Street, Changchun City, Jilin Province, 130021, China.
Wanting WangDepartment of Pathogenobiology, Jilin University Mycology Research Center, Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, No. 126 Xinmin Street, Changchun City, Jilin Province, 130021, China.
Qiushi ShanDepartment of Pathogenobiology, Jilin University Mycology Research Center, Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, No. 126 Xinmin Street, Changchun City, Jilin Province, 130021, China.
Li WangDepartment of Pathogenobiology, Jilin University Mycology Research Center, Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, No. 126 Xinmin Street, Changchun City, Jilin Province, 130021, China. wli99@jlu.edu.cn.
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal keratitis is a worldwide-distributed refractory and potentially blinding ocular infection caused by various fungi. It is necessary to investigate the etiological and epidemiological characteristics of this disease and establish a rapid and specific pathogenic identification method. Here, we isolated and identified fungal pathogens of 275 patients with presumed fungal keratitis from Jilin Province, China, and conducted statistical analyses of epidemiological information. The positive rate of fungal culture was 72.0 %. Fusarium sp. was the most common genus among 210 fungal isolates. The predominant species were Fusarium solani, Aspergillus fumigatus, and Candida glabrata, which accounted for over 50 % of the isolated organisms. Corneal trauma and previous use of drugs were the most important predisposing factors. In addition, a multiplex polymerase chain reaction (PCR) was designed with species-specific primers of the three species that could identify them with amplicons of approximately 330 bp from F. solani, 275 bp from A. fumigatus, and 230 bp from C. glabrata. Additionally, PCR with fungal universal primers and multiplex PCR were performed using DNA prepared by an improved DNA extraction method from corneal scrapings. With this method, fungal pathogens from corneal scrapings could be specifically and rapidly identified within 8 h. The culture-independent rapid identification of corneal scrapings may have great significance for the early diagnosis and treatment of fungal keratitis.

Indexed as

ChinaDNA PrimersEye Infections, FungalFungiHumansKeratitisMolecular Diagnostic TechniquesMultiplex Polymerase Chain ReactionPrevalenceRisk FactorsTime FactorsDNA PrimersEpidemiologyFungiIdentificationKeratitisMultiplex PCR

Identifiers

PMID26446032
OpenAlexW1845702241

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.