Evidence map›Paper›PMID 38558836›Full record

ArticleMycology2024

Analytical and clinical validation of multiplex droplet digital PCR assay for detecting pathogenic fungal infection in lungs.

Jian Guo, Wenjie Tian, Huiping Lin, Liang Hu, Xuejuan Gao, Jiang Xia, Hao Yu, Hui Chen, Wei Li, Wenjuan Wu

Open access · goldAbstract read
In one paragraph

Article in Mycology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
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  4. Recent developments inMicrobiology and molecular biology reviews : MMBR · 2025
    Review
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  6. Disseminated CombinedInfection and drug resistance · 2024
    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 at 3 institutions in 1 country.

Jian GuoDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Wenjie TianDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Huiping LinDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Liang HuDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xuejuan GaoPilot Gene Technologies Company Limited, Hangzhou, China.
Jiang XiaPilot Gene Technologies Company Limited, Hangzhou, China.
Hao YuPilot Gene Technologies Company Limited, Hangzhou, China.
Hui ChenDepartment of Laboratory Medicine, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China.
Wei LiDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.
Wenjuan WuDepartment of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shanghai East Hospital · CNJiangxi Provincial People's Hospital · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary invasive fungal infection in immunocompromised hosts is difficult to diagnose, and current tools for diagnosis or monitoring of response to antifungal treatments have inherent limitations. Droplet digital PCR (ddPCR) has emerged as a promising tool for pulmonary pathogen detection with high sensitivity. This study presents a novel ddPCR panel for rapid and sensitive identification of pulmonary fungal pathogens. First, a ddPCR method for detecting three fungal genera, including

Indexed as

AspergillusDroplet digital PCR (ddPCR)invasive fungal infectionPneumocystispulmonary

Identifiers

PMID38558836
PMCPMC10976995
OpenAlexW4390411294

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.