Evidence map›Paper›PMID 30288064›Full record

ArticleInfection and drug resistance2018

Shu-Ying Yu, Li-Na Guo, Meng Xiao, Timothy Kudinha, Fanrong Kong, He Wang, Jing-Wei Cheng, Meng-Lan Zhou, Hui Xu, Ying-Chun Xu

Abstract read
In one paragraph

Article in Infection and drug resistance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. COVID-19-associated brain abscess caused byMedical mycology case reports · 2022
    Article
  2. Article
  3. Invasive Infections Due toJournal of clinical microbiology · 2019
    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

10 authors.

Shu-Ying YuDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China, xycpumch@139.com.
Li-Na GuoDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China, xycpumch@139.com.
Meng XiaoDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China, xycpumch@139.com.
Timothy KudinhaCentre for Infectious Diseases and Microbiology Laboratory Services, ICPMR - Pathology West, University of Sydney, Westmead Hospital, Westmead, NSW, Australia.
Fanrong KongCentre for Infectious Diseases and Microbiology Laboratory Services, ICPMR - Pathology West, University of Sydney, Westmead Hospital, Westmead, NSW, Australia.
He WangDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China, xycpumch@139.com.
Jing-Wei ChengDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China, xycpumch@139.com.
Meng-Lan ZhouDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China, xycpumch@139.com.
Hui XuDepartment of Clinical Laboratory, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China, xuhui8866@126.com.
Ying-Chun XuDepartment of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China, xycpumch@139.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPATIENTS AND

methodsIn this study, we investigated two

resultsOn chromogenic agar,

conclusionThis case study points to a possible emergence of

Indexed as

emerging pathogenidentificationinvasive infectionreduced susceptibilityTrichosporon dohaense

Identifiers

PMID30288064
PMCPMC6160283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.