Evidence map›Paper›PMID 36889461›Full record

ArticleJournal of advanced research2024

Clinical evaluation of cell-free and cellular metagenomic next-generation sequencing of infected body fluids.

Hongbin Chen, Yafeng Zheng, Xiaoyang Zhang, Si Liu, Yuyao Yin, Yifan Guo, Xiaojuan Wang, Yawei Zhang, Chunjiang Zhao, Wei Gai and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
13.9field-weighted citation impact, top 1% 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

53 citing papers in PubMed, 56 citations in OpenAlex.

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  9. Metagenomic next-generation sequencing: new horizons in microbiology.Frontiers in cellular and infection microbiology · 2026
    Review
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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

11 authors at 2 institutions in 1 country.

Hongbin ChenDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Yafeng ZhengWillingMed Technology (Beijing) Co., Ltd, Beijing, China.
Xiaoyang ZhangDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Si LiuDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Yuyao YinDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Yifan GuoDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Xiaojuan WangDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Yawei ZhangDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Chunjiang ZhaoDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
Wei GaiWillingMed Technology (Beijing) Co., Ltd, Beijing, China. Electronic address: weigai@willingmed.com.
Hui WangDepartment of Clinical Laboratory, Peking University People's Hospital, Beijing, China. Electronic address: whuibj@163.com.
Peking University People's Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevious studies have evaluated metagenomic next-generation sequencing (mNGS) of cell-free DNA (cfDNA) for pathogen detection in blood and body fluid samples. However, no study has assessed the diagnostic efficacy of mNGS using cellular DNA.

objectivesThis is the first study to systematically evaluate the efficacy of cfDNA and cellular DNA mNGS for pathogen detection.

methodsA panel of seven microorganisms was used to compare cfDNA and cellular DNA mNGS assays concerning limits of detection (LoD), linearity, robustness to interference, and precision. In total, 248 specimens were collected between December 2020 and December 2021. The medical records of all the patients were reviewed. These specimens were analysed using cfDNA and cellular DNA mNGS assays, and the mNGS results were confirmed using viral qPCR, 16S rRNA, and internal transcribed spacer (ITS) amplicon next-generation sequencing.

resultsThe LoD of cfDNA and cellular DNA mNGS was 9.3 to 149 genome equivalents (GE)/mL and 27 to 466 colony-forming units (CFU)/mL, respectively. The intra- and inter-assay reproducibility of cfDNA and cellular DNA mNGS was 100%. Clinical evaluation revealed that cfDNA mNGS was good at detecting the virus in blood samples (receiver operating characteristic (ROC) area under the curve (AUC), 0.9814). In contrast, the performance of cellular DNA mNGS was better than that of cfDNA mNGS in high host background samples. Overall, the diagnostic efficacy of cfDNA combined with cellular DNA mNGS (ROC AUC, 0.8583) was higher than that of cfDNA (ROC AUC, 0.8041) or cellular DNA alone (ROC AUC, 0.7545).

conclusionOverall, cfDNA mNGS is good for detecting viruses, and cellular DNA mNGS is suitable for high host background samples. The diagnostic efficacy was higher when cfDNA and cellular DNA mNGS were combined.

Indexed as

Body FluidsCell-Free Nucleic AcidsDNAHigh-Throughput Nucleotide SequencingHumansReproducibility of ResultsRNA, Ribosomal, 16SCell-Free Nucleic AcidsDNARNA, Ribosomal, 16SBody fluidsCell-free DNA (cfDNA)Cellular DNAMetagenomic next-generation sequencing (mNGS)Performance validation

Identifiers

PMID36889461
PMCPMC10770109
OpenAlexW4323304835

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.