Evidence map›Paper›PMID 42499237›Full record

ArticleCanadian respiratory journal2026

Diagnostic Insights Into Pathogen Spectrum and Mixed Microbial Detection in Critically Ill Patients With Pulmonary Infection Using Targeted Next-Generation Sequencing.

Hui Zhang, Lin Yang, Zhao Zhao, Li Zhao, Shujuan Zhang, Xiaozhi Jiang, Fengdan Liu, Jin Wu, Lili Du, Guannan Ma and 1 more

Abstract read
In one paragraph

Article in Canadian respiratory journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Hui ZhangDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Lin YangDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Zhao ZhaoDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Li ZhaoDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Shujuan ZhangDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Xiaozhi JiangDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Fengdan LiuDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Jin WuDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Lili DuDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.
Guannan MaZhejiang Key Laboratory of Digital Technology in Medical Diagnostics, Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-4108-5296
Peili ChenDepartment of Critical Care Medicine, Shangqiu First People's Hospital, Shangqiu, Henan, China.

Funding

Key Science and Technology Research and Development Program of Shangqiu HS2025092
6 · The paper itself

Abstract

backgroundPulmonary infections are common and potentially life-threatening in critically ill patients. Conventional microbiological tests (CMTs) often show limited sensitivity, particularly in the setting of prior antimicrobial exposure. Targeted next-generation sequencing (tNGS) has emerged as an alternative approach for broad pathogen detection; however, data describing pathogen spectrum, mixed infection patterns, and diagnostic performance in critically ill populations remain limited.

methodsThis retrospective study included 217 critically ill patients with suspected pulmonary infection who underwent tNGS testing of respiratory specimens. Baseline clinical characteristics were summarized. The pathogen spectrum and mixed detection patterns identified by tNGS were analyzed, including mixed microbial codetection. Diagnostic performance of tNGS was compared with that of CMTs using clinical diagnosis as the reference standard. Sensitivity, specificity, accuracy, agreement indices, and McNemar's test were applied.

resultstNGS detected at least one microorganism in 208 of 217 patients, yielding a significantly higher overall detection rate than CMTs. A broad spectrum of bacterial, viral, and fungal pathogens was identified, and mixed detections were common, frequently involving organisms from different pathogen categories. Co-occurrence network analysis highlighted recurrent patterns of mixed microbial detection in this cohort. Compared with CMTs, tNGS demonstrated substantially higher sensitivity and overall diagnostic accuracy, whereas conventional methods showed higher specificity.

conclusionstNGS provides a comprehensive overview of the pathogen spectrum and mixed detection patterns in critically ill patients with suspected pulmonary infection. Compared with CMTs, tNGS offers a markedly higher detection rate and sensitivity. However, careful clinical interpretation remains essential, particularly in the context of frequent mixed microbial detections, to ensure appropriate integration of sequencing results into clinical decision-making.

Indexed as

CoinfectionHigh-Throughput Nucleotide SequencingRespiratory Tract InfectionsAgedCritical IllnessFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and Specificitycritically ill patientsdiagnostic performancemixed microbial infectionpulmonary infectiontargeted next-generation sequencing (tNGS)

Identifiers

PMID42499237
PMCPMC13401062

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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.