Evidence map›Paper›PMID 42416141›Full record

ReviewOpen medicine (Warsaw, Poland)2026

Complementary mNGS and traditional testing for bloodstream infections.

Dongjuan Chen, Xuemei Li, Zhenhui Wang, Liping Huang, Liu Qin

Abstract readReview
In one paragraph

Review in Open medicine (Warsaw, Poland), 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

5 authors.

Dongjuan ChenDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0002-3283-5059
Xuemei LiDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0005-4136-3988
Zhenhui WangDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0008-7155-5333
Liping HuangXinfeng County Maternal and Child Health Hospital of Jiangxi Province, Xinfeng County, China.ORCID https://orcid.org/0009-0003-7617-7056
Liu QinDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0009-0000-2424-6599

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infections (BSIs) require rapid and accurate etiological diagnosis to guide timely antimicrobial therapy. Conventional diagnostic approaches, particularly blood culture, remain indispensable for antimicrobial susceptibility testing; however, they are limited by prolonged turnaround time and reduced sensitivity, especially following prior antibiotic exposure. Metagenomic next-generation sequencing (mNGS) has emerged as a culture-independent and hypothesis-free diagnostic tool capable of detecting a broad spectrum of pathogens directly from clinical samples. This approach is particularly advantageous for identifying rare, fastidious, and polymicrobial infections, as well as infections in immunocompromised patients. However, its clinical application remains constrained by challenges in distinguishing infection from colonization, interpreting antimicrobial resistance signals, and variability in bioinformatics pipelines. Thus, in the era of integrated diagnosis, mNGS does not replace but powerfully complements traditional methods. Furthermore, we propose a dynamic evidence-weighted integrated diagnostic framework to guide real time clinical decision and improve the clinical applicability of mNGS in bloodstream infections.

Indexed as

blood culturebloodstream infectioncomplementarityintegrated diagnosismetagenomic next-generation sequencing (mNGS)pathogen diagnosis

Identifiers

PMID42416141
PMCPMC13340825

What Socratic holds

Textmetadata
LicenceCC BY
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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.