Evidence map›Paper›PMID 36189371›Full record

ArticleFrontiers in cellular and infection microbiology2022

The diagnostic value of next-generation sequencing technology in sepsis.

Xiao-Guang Cao, Shu-Sheng Zhou, Chun-Yan Wang, Kui Jin, Hua-Dong Meng

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
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  3. Quantitative imaging in medicine and surgery · 2026
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  5. Review
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  16. Performance of next-generation sequencing for diagnosis of blood infections byFrontiers in cellular and infection microbiology · 2023
    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

5 authors.

Xiao-Guang CaoDepartment of Emergency Medical Center, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei, China.
Shu-Sheng ZhouDepartment of Emergency Medical Center, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei, China.
Chun-Yan WangDepartment of Emergency Medical Center, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei, China.
Kui JinDepartment of Emergency Medical Center, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei, China.
Hua-Dong MengDepartment of Emergency Intensive Care Unit (EICU), the third Affiliated Hospital of Anhui Medical University, (the First People's Hospital of Hefei), Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to assess the clinical utility of next-generation sequencing (NGS) in sepsis diagnosis. Methods: A prospective study was conducted on patients with a high suspicion of sepsis by unknown pathogens from January 2017 to December 2021. Blood samples were taken from patients to perform NGS, blood culture (BC), leucocyte (WBC), procalcitonin (PCT), creatinine (CREA), Albumin (ALB) and C-reactive protein (CRP) tests. Results: The feedback time for BC was 3~5 days for bacteria and 5~7 days for fungi, while the turnover time for NGS was only 24 h. The clinical diagnosis was considered the "gold standard". 83 patients passed our inclusion criteria and were separated into two groups by clinical diagnosis. 62 met the clinical diagnosis criteria for sepsis and 21 were non-sepsis. The data from the two groups were retrospectively compared and analyzed. Of 62 sepsis in 83 patients, 8(9.64%) were diagnosed by both BC and NGS, 51 (61.45%) by NGS only, 1(1.20%) by BC and 2 (2.41%) by conventional testing only; PCT, CREA, CRP levels and the detection rate of NGS and BC were higher in the sepsis group than in the non-sepsis group, while ALB levels were lower (p<0.05). The logistic regression results in our study revealed that NGS and ALB were independent prediction factors for sepsis ( Conclusion: NGS can effectively and quickly identify pathogens, thereby emerges as a promising technology for sepsis diagnosis. Combination of NGS and ALB can be used for early screening and is more powerful than NGS or ALB only.

Indexed as

C-Reactive ProteinSepsisBiomarkersCreatinineHigh-Throughput Nucleotide SequencingHumansProcalcitoninProspective StudiesRetrospective StudiesTechnologyBiomarkersC-Reactive ProteinCreatinineProcalcitonindiagnosisICUNext-generation sequencingpathogensepsis

Identifiers

PMID36189371
PMCPMC9518011

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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.