Evidence map›Paper›PMID 42273044›Full record

ArticleFrontiers in microbiology2026

A fully integrated sample-to-answer molecular diagnostic platform for rapid identification of four major

Eun Hae Oh, Jinseok Kang, Dasol Jin, Chaehwa Yoo, Jihoon Park, Eun Jeong Won

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Eun Hae OhiGENETECH R&D Center, iGENETECH Inc., Yongin, Republic of Korea.
Jinseok KangiGENETECH R&D Center, iGENETECH Inc., Yongin, Republic of Korea.
Dasol JiniGENETECH R&D Center, iGENETECH Inc., Yongin, Republic of Korea.
Chaehwa YooiGENETECH R&D Center, iGENETECH Inc., Yongin, Republic of Korea.
Jihoon ParkiGENETECH R&D Center, iGENETECH Inc., Yongin, Republic of Korea.
Eun Jeong WonDepartment of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Invasive pulmonary aspergillosis (IPA) is more common among immunocompromised patients. Timely diagnosis is crucial but is challenging because current diagnostic approaches are often limited by low sensitivity, prolonged turnaround times, and technical complexity. Here, we developed a fully automated, real-time PCR-based, sample-to-answer molecular diagnostic platform for the simultaneous identification of four major Materials and methods: The sample-to-answer workflow was optimized using artificial bronchoalveolar lavage (BAL) samples spiked with Results: The assay demonstrated 95.2% (20/21) overall agreement with MALDI-TOF for culture isolates, achieving 93.3% positive agreement and 100% negative agreement. In the feasibility validation using 22 patient BAL samples including 11 proven and 11 probable IPA cases, the platform detected 10 out of 11 proven IPA samples (90.9%) with 100% species-level consistency with MALDI-TOF results. Notably, this assay could add mycological evidence in 3 of 11 culture-negative probable IPA cases. Conclusion: This fully automated, sample-to-answer platform enables rapid and accurate species-level identification of

Indexed as

Aspergillus species identificationbronchial alveolar lavageinvasive pulmonary aspergillosisMALDI-TOFsample-to-answer platform

Identifiers

PMID42273044
PMCPMC13246479

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.