Evidence map›Paper›PMID 26014943›Full record

ArticleAntimicrobial agents and chemotherapy2015

In Vitro Triple Combination of Antifungal Drugs against Clinical Scopulariopsis and Microascus Species.

Limin Yao, Zhe Wan, Ruoyu Li, Jin Yu

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Non-Journal of fungi (Basel, Switzerland) · 2023
    Review
  3. Article
  4. Nebulized Micafungin Treatment forAntimicrobial agents and chemotherapy · 2021
    Article
  5. Article
  6. PulmonaryRespiratory medicine case reports · 2021
    Article
  7. Article
  8. Article
  9. 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

4 authors.

Limin YaoDepartment of Dermatology and Venereology, Peking University First Hospital, Research Center for Medical Mycology, Peking University, Beijing, China Beijing Key Laboratory of Molecular Diagnosis of Dermatoses, Beijing, China.
Zhe WanDepartment of Dermatology and Venereology, Peking University First Hospital, Research Center for Medical Mycology, Peking University, Beijing, China Beijing Key Laboratory of Molecular Diagnosis of Dermatoses, Beijing, China.
Ruoyu LiDepartment of Dermatology and Venereology, Peking University First Hospital, Research Center for Medical Mycology, Peking University, Beijing, China Beijing Key Laboratory of Molecular Diagnosis of Dermatoses, Beijing, China.
Jin YuDepartment of Dermatology and Venereology, Peking University First Hospital, Research Center for Medical Mycology, Peking University, Beijing, China Beijing Key Laboratory of Molecular Diagnosis of Dermatoses, Beijing, China jinyu@medmail.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Broth microdilution checkerboard techniques based on the methodology of the Clinical and Laboratory Standards Institute (CLSI) were employed to study the triple antifungal combination of caspofungin, posaconazole, and terbinafine against 27 clinical isolates of Scopulariopsis and Microascus species. Synergy was observed for 26 isolates, whereas antagonism was observed for Scopulariopsis candida in this study.

Indexed as

Antifungal AgentsAscomycotaCaspofunginDrug Resistance, Multiple, FungalDrug Therapy, CombinationEchinocandinsHumansLipopeptidesMicrobial Sensitivity TestsMycosesNaphthalenesScopulariopsisTerbinafineTriazolesAntifungal AgentsCaspofunginEchinocandinsLipopeptidesNaphthalenesposaconazoleTerbinafineTriazoles

Identifiers

PMID26014943
PMCPMC4505211

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.