Evidence map›Paper›PMID 41767491›Full record

ArticleJAC-antimicrobial resistance2026

Assessment of the molecular identification algorithm and its impact on antifungal susceptibilities against clinical

Pao-Yu Chen, Chi-Jung Wu, Un-In Wu, Wang-Da Liu, Yee-Chun Chen

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Pao-Yu ChenDivision of Infectious Diseases, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Chi-Jung WuDivision of Infectious Diseases, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID https://orcid.org/0000-0002-9607-9088
Un-In WuDivision of Infectious Diseases, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Wang-Da LiuDepartment of Medicine, National Taiwan University Cancer Center, Taipei, Taiwan.
Yee-Chun ChenDivision of Infectious Diseases, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-1816-9010

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Invasive fusariosis is rising and poses challenges due to species complexity and antifungal resistance. Methods: Results: Of 103 isolates (37 blood and 66 cornea isolates) evaluated, the two-step algorithm achieved >90% to species level. Conclusions: Our findings indicated the two-step molecular algorithm accurately identifies

Identifiers

PMID41767491
PMCPMC12936585

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.