Evidence map›Paper›PMID 26354348›Full record

ArticleAnnals of laboratory medicine2015

Molecular identification and amphotericin B susceptibility testing of clinical isolates of Aspergillus from 11 hospitals in Korea.

Min Seok Heo, Jong Hee Shin, Min Ji Choi, Yeon Joon Park, Hye Soo Lee, Sun Hoe Koo, Won Gil Lee, Soo Hyun Kim, Myung Geun Shin, Soon Pal Suh and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2015. 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
2.5field-weighted citation impact, top 11% 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, 32 citations in OpenAlex.

  1. Molecular Identification ofInfection and drug resistance · 2025
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  2. Surveillance of Amphotericin B and Azole Resistance inJournal of fungi (Basel, Switzerland) · 2023
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  5. Epidemiology of Clinically SignificantInfection and drug resistance · 2023
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  12. A 9-Year Experience ofInfection and drug resistance · 2020
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  17. Species Identification andAntimicrobial agents and chemotherapy · 2018
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  18. Frontiers in microbiology · 2018
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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

11 authors at 5 institutions in 1 country.

Min Seok HeoDepartment of Laboratory Medicine, Chonnam National University Medical School, Gwangju, Korea.
Jong Hee ShinDepartment of Laboratory Medicine, Chonnam National University Medical School, Gwangju, Korea. shinjh@chonnam.ac.kr.
Min Ji ChoiDepartment of Laboratory Medicine, Chonnam National University Medical School, Gwangju, Korea.
Yeon Joon ParkDepartment of Laboratory Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea.
Hye Soo LeeDepartment of Laboratory Medicine, Chonbuk National University Medical School and Chonbuk National University Hospital Branch of National Culture Collection for Pathogens, Jeonju, Korea.
Sun Hoe KooDepartment of Laboratory Medicine, College of Medicine, Chungnam National University, Gwangju, Korea.
Won Gil LeeDepartment of Laboratory Medicine, Kyungpook National University School of Medicine, Daegu, Korea.
Soo Hyun KimDepartment of Laboratory Medicine, Chonnam National University Medical School, Gwangju, Korea.
Myung Geun ShinDepartment of Laboratory Medicine, Chonnam National University Medical School, Gwangju, Korea.
Soon Pal SuhDepartment of Laboratory Medicine, Chonnam National University Medical School, Gwangju, Korea.
Dong Wook RyangDepartment of Laboratory Medicine, Chonnam National University Medical School, Gwangju, Korea.
Chonnam National University · KRCatholic University of Korea · KRChungnam National University · KRJeonbuk National University · KRKyungpook National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated the species distribution and amphotericin B (AMB) susceptibility of Korean clinical Aspergillus isolates by using two Etests and the CLSI broth microdilution method.

methodsA total of 136 Aspergillus isolates obtained from 11 university hospitals were identified by sequencing the internal transcribed spacer (ITS) and β-tubulin genomic regions. Minimal inhibitory concentrations (MICs) of AMB were determined in Etests using Mueller-Hinton agar (Etest-MH) and RPMI agar (Etest-RPG), and categorical agreement with the CLSI method was assessed by using epidemiological cutoff values.

resultsITS sequencing identified the following six Aspergillus species complexes: Aspergillus fumigatus (42.6% of the isolates), A. niger (23.5%), A. flavus (17.6%), A. terreus (11.0%), A. versicolor (4.4%), and A. ustus (0.7%). Cryptic species identifiable by β-tubulin sequencing accounted for 25.7% (35/136) of the isolates. Of all 136 isolates, 36 (26.5%) had AMB MICs of ≥2 μg/mL by the CLSI method. The categorical agreement of Etest-RPG with the CLSI method was 98% for the A. fumigatus, A. niger, and A. versicolor complexes, 87% for the A. terreus complex, and 37.5% for the A. flavus complex. That of Etest-MH was ≤75% for the A. niger, A. flavus, A. terreus, and A. versicolor complexes but was higher for the A. fumigatus complex (98.3%).

conclusionsAspergillus species other than A. fumigatus constitute about 60% of clinical Aspergillus isolates, and reduced AMB susceptibility is common among clinical isolates of Aspergillus in Korea. Molecular identification and AMB susceptibility testing by Etest-RPG may be useful for characterizing Aspergillus isolates of clinical relevance.

Indexed as

Amphotericin BAntifungal AgentsAspergillusDNA, FungalHospitalsHumansMicrobial Sensitivity TestsMycosesRepublic of KoreaSequence Analysis, DNATubulinAmphotericin BAntifungal AgentsDNA, FungalTubulinAmphotericin BAspergillusCLSIEtestIdentification

Identifiers

PMID26354348
PMCPMC4579104
OpenAlexW2228312838

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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.