Evidence map›Paper›PMID 31870760›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

Clinical and microbiological characteristics of cryptococcosis at an university hospital in China from 2013 to 2017.

Lan-Fang Fang, Piao-Piao Zhang, Jie Wang, Qing Yang, Ting-Ting Qu

Open access · goldAbstract read
In one paragraph

Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Sequence Types ofPathogens (Basel, Switzerland) · 2026
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  6. Genotyping Analysis ofJournal of fungi (Basel, Switzerland) · 2023
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  11. Performance of the Colloidal Gold Immunochromatography of Cryptococcal Antigen on Bronchoalveolar Lavage Fluid for the Diagnosis of Pulmonary Cryptococcosis.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  12. Article
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  15. Clinical characteristics,The Journal of international medical research · 2021
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  16. Associations betweenJournal of fungi (Basel, Switzerland) · 2021
    Review
  17. Frontiers in microbiology · 2021
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  18. CryptoType - Public Datasets for MALDI-TOF-MS Based Differentiation ofFrontiers in cellular and infection microbiology · 2021
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  19. 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

5 authors at 2 institutions in 1 country.

Lan-Fang FangZhejiang University School of Medicine, The First Affiliated Hospital, State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China.
Piao-Piao ZhangZhejiang University School of Medicine, The First Affiliated Hospital, State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China.
Jie WangZhejiang University School of Medicine, The First Affiliated Hospital, Respiratory Department, Hangzhou, Zhejiang, China.
Qing YangZhejiang University School of Medicine, The First Affiliated Hospital, State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China.
Ting-Ting QuZhejiang University School of Medicine, The First Affiliated Hospital, State Key Laboratory for Diagnosis and Treatment of Infectious Disease, Hangzhou, Zhejiang, China. Electronic address: qutingting@zju.edu.cn.
Zhejiang University · CNFirst Affiliated Hospital Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to explore the epidemiology, clinical profile and strain characteristics of cryptococcosis from 2013 to 2017 in a major teaching hospital in China.

methodsTrends in antifungal drug susceptibility of 217 consecutive non-repetitive cryptococcal isolates collected from patients of an university hospital in China were analyzed between 2013 and 2017. Of those, 98 isolates were conserved for identification by internal transcribed spacer (ITS) sequencing and matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) system. Multilocus sequence typing (MLST) was used to designate molecular types. Clinical characteristics of the 98 patients with cryptococcosis during the period of 2013-2017 were retrospectively evaluated.

resultsThere was a trend for gradual increase in the MIC range of fluconazole was from 2013 to 2017. The conserved 98 clinical cryptococcal isolates included 97 C. neoformans and one C. gattii, and 90 (91.8%) isolates belonged to ST5 genotype VNI. Out of the 98 patients with cryptococcosis, 28 (28.6%) were HIV-infected and 32 (32.7%) had no underlying diseases. HIV-infected patients had higher mortality than HIV-uninfected patients (28.6% vs 14.3%, p=0.147).

conclusionsMost of the patients with cryptococcosis were not HIV-infected in this study, while patients with HIV had a higher mortality. Reduced susceptibility to fluconazole was observed among C. neoformans isolates, most of them belonged to ST5 genotype VNI having an impact on the effective dose of fluconazole.

Indexed as

AdultAntifungal AgentsChinaCross-Sectional StudiesCryptococcosisCryptococcus gattiiCryptococcus neoformansFemaleGenotypeHospitals, UniversityHumansMaleMicrobial Sensitivity TestsMiddle AgedMultilocus Sequence TypingRetrospective StudiesAntifungal AgentsAntifungal susceptibilityCryptococcosisCryptococcus neoformansHuman immunodeficiency virus (HIV)Multilocus sequence typing (MLST)

Identifiers

PMID31870760
PMCPMC9392018
OpenAlexW2995552608

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.