Evidence map›Paper›PMID 41449534›Full record

ArticleAnnals of laboratory medicine2026

Clinical Characteristics and Mortality Risk Factors of

Tae Yeul Kim, Jung-Hyun Byun, Changseung Liu, Dahae Yang, Hyun-Seung Lee, Heungsup Sung, Mi-Na Kim, Eun Jeong Won

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Tae Yeul KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6405-5305
Jung-Hyun ByunDepartment of Laboratory Medicine, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju, Korea.ORCID https://orcid.org/0000-0001-5909-5807
Changseung LiuDepartment of Laboratory Medicine, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.ORCID https://orcid.org/0000-0002-8777-7431
Dahae YangDepartment of Laboratory Medicine, Kosin Gospel University Hospital, Busan, Korea.ORCID https://orcid.org/0000-0003-0606-2037
Hyun-Seung LeeDepartment of Laboratory Medicine and Institute of Wonkwang Medical Science, School of Medicine, Wonkwang University, Iksan, Korea.ORCID https://orcid.org/0000-0002-2480-3145
Heungsup SungDepartment of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6062-4451
Mi-Na KimDepartment of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6589-5122
Eun Jeong WonDepartment of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8750-4257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: We retrospectively analyzed 53 Results: During the study period, Conclusions: MDR or non-WT isolates, along with host factors such as severe sepsis, are associated with a worse prognosis in

Indexed as

CandidaCandidemiaAgedAntifungal AgentsDrug Resistance, FungalFemaleHospital MortalityHumansIntensive Care UnitsMaleMicrobial Sensitivity TestsMiddle AgedProportional Hazards ModelsRepublic of KoreaRetrospective StudiesRisk FactorsAntifungal AgentsCandidemiaMortalityMultidrug-resistantRisk factors

Identifiers

PMID41449534
PMCPMC13259939

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.