Evidence map›Paper›PMID 38362158›Full record

ArticleFrontiers in cellular and infection microbiology2023

Comprehensive evaluation of plasma microbial cell-free DNA sequencing for predicting bloodstream and local infections in clinical practice: a multicenter retrospective study.

Feng Pang, Wenbin Xu, Hui Zhao, Shuai Chen, Yaxian Tian, Juanjuan Fu, Zhiqing You, Pingping Song, Qingjie Xian, Qigang Zhao and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
8.9field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 23 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Feng Pang *Department of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Wenbin Xu *Department of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Hui Zhao *Department of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Shuai ChenDepartment of Clinical Laboratory, Liaocheng Thrid People's Hospital, Liaocheng, Shandong, China.
Yaxian TianDepartment of Center Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Juanjuan FuDepartment of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Zhiqing YouDepartment of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Pingping SongDepartment of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Qingjie XianDepartment of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Qigang ZhaoDepartment of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Chengtan WangDepartment of Clinical Laboratory, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Xiuqin JiaThe Key Laboratory of Molecular Pharmacology, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Liaocheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metagenomic next-generation sequencing (mNGS) of plasma cell-free DNA (cfDNA) shows promising application for complicated infections that cannot be resolved by conventional microbiological tests (CMTs). The criteria for cfDNA sequencing are currently in need of agreement and standardization. Methods: We performed a retrospective cohort observation of 653 patients who underwent plasma cfDNA mNGS, including 431 with suspected bloodstream infections (BSI) and 222 with other suspected systemic infections. Plasma mNGS and CMTs were performed simultaneously in clinical practice. The diagnostic efficacy of plasma mNGS and CMTs in the diagnosis of blood-borne and other systemic infections was evaluated using receiver operating characteristic (ROC) curves. The sensitivity and specificity of the two methods were analyzed based on the final clinical outcome as the gold standard. Results: The mNGS test showed an overall positive rate of 72.3% (472/653) for detecting microorganisms in plasma cfDNA, with a range of 2 to 6 different microorganisms detected in 171 patient specimens. Patients with positive mNGS results were more immunocompromised and had a higher incidence of severe disease (P<0·05). The sensitivity of mNGS was higher for BSI (93·5%) and other systemic infections (83·6%) compared to CMTs (37·7% and 14·3%, respectively). The mNGS detected DNA from a total of 735 microorganisms, with the number of microbial DNA reads ranging from 3 to 57,969, and a higher number of reads being associated with clinical infections (P<0·05). Of the 472 patients with positive mNGS results, clinical management was positively affected in 203 (43%) cases. Negative mNGS results led to a modified clinical management regimen in 92 patients (14.1%). The study also developed a bacterial and fungal library for plasma mNGS and obtained comparisons of turnaround times and detailed processing procedures for rare pathogens. Conclusion: Our study evaluates the clinical use and analytic approaches of mNGS in predicting bloodstream and local infections in clinical practice. Our results suggest that mNGS has higher positive predictive values (PPVs) for BSI and systemic infections compared to CMTs, and can positively affect clinical management in a significant number of patients. The standardized whole-process management procedure for plasma mNGS developed in this study will ensure improved pre-screening probabilities and yield clinically valuable data.

Indexed as

Cell-Free Nucleic AcidsSepsisDNAHigh-Throughput Nucleotide SequencingHumansMetagenomicsRetrospective StudiesSensitivity and SpecificitySequence Analysis, DNACell-Free Nucleic AcidsDNAbloodstream infectionslocal infectionsmetagenomic next-generation sequencing (mNGS)plasma cell-free DNA (cfDNA)ROC curves

Identifiers

PMID38362158
PMCPMC10868388
OpenAlexW4390589247

What OpenQuestion 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 OpenQuestion graph.