Evidence map›Paper›PMID 42376322›Full record

ArticleFrontiers in cellular and infection microbiology2026

Performance of metagenomic next-generation sequencing for bloodstream infections in perioperative critically ill patients- a

Qiao Qin, Ya-Chan Ning, Sai-Nan Zhu, Jia-Hui Ma, Wei Chen, Wei Tian, Chun-Mei Wang, Ying-Feng Wu, Shuang-Ling Li

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

Article in Frontiers in cellular and infection 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

9 authors.

Qiao QinDepartment of Critical Care Medicine, Peking University First Hospital, Beijing, China.
Ya-Chan NingDepartment of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Sai-Nan ZhuDepartment of Clinical Epidemiology, Peking University First Hospital, Beijing, China.
Jia-Hui MaDepartment of Anesthesiology, Peking University First Hospital, Beijing, China.
Wei ChenDepartment of Intensive Care Unit, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Wei TianDepartment of Geriatrics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Chun-Mei WangDepartment of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ying-Feng WuDepartment of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Shuang-Ling LiDepartment of Critical Care Medicine, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bloodstream infections (BSI) in intensive care unit (ICU) patients are associated with high morbidity and mortality, necessitating rapid and accurate pathogen identification to guide early antimicrobial therapy. However, traditional blood culture (BC) is limited by the long turnaround time and low sensitivity. Metagenomic next-generation sequencing (mNGS) has been applied in infectious disease diagnostics, but its clinical utility for perioperative ICU patients with BSI requires further evaluation. Methods: This Results: mNGS demonstrated a higher overall pathogen detection rate than BC in the 219 enrolled patients (25.1% vs. 9.6%, Conclusions: For perioperative ICU patients, mNGS demonstrated superior pathogen detection rates, broader microbial spectrum coverage, and enhanced polymicrobial infection detection capability versus BC. mNGS exhibited high diagnostic value for clinical BSI, with the potential to facilitate targeted antimicrobial therapy adjustments.

Indexed as

BacteremiaHigh-Throughput Nucleotide SequencingMetagenomicsSepsisAgedBacteriaBlood CultureCritical IllnessFemaleHumansIntensive Care UnitsMaleMiddle AgedProspective StudiesSensitivity and Specificitybloodstream infectiondiagnosisICUmNGSperioperative

Identifiers

PMID42376322
PMCPMC13311091

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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.