Evidence map›Paper›PMID 36369999›Full record

ArticlePolish journal of microbiology2022

Evaluation of Cell-Free DNA-Based Next-Generation Sequencing for Identifying Pathogens in Bacteremia Patients.

Chaoqin Zhang, Hang Cheng, Yuxi Zhao, Jinlian Chen, Meng Li, Zhijian Yu, Xiang Sun, Peiyu Li, Yongpeng Shang, Jinmin Ma and 1 more

Open access · goldAbstract read
In one paragraph

Article in Polish journal of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Metagenomic next-generation sequencing: new horizons in microbiology.Frontiers in cellular and infection microbiology · 2026
    Review
  5. Review
  6. Article
  7. 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 at 2 institutions in 1 country.

Chaoqin ZhangDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Hang ChengDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Yuxi ZhaoDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Jinlian ChenDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Meng LiBGI-Shenzhen, Shenzhen, China.
Zhijian YuDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Xiang SunDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Peiyu LiDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Yongpeng ShangDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
Jinmin MaBGI-Shenzhen, Shenzhen, China.
Jinxin ZhengDepartment of Infectious Diseases and the Key Lab of Endogenous Infection, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.ORCID https://orcid.org/0000-0003-4064-2430
Union Hospital · CNBGI Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid detection of bloodstream pathogens would greatly facilitate clinicians to make precise antimicrobial treatment in patients with bacteremia. In this study, 114 plasma samples were collected from patients with identified or suspected bacteremia, and pathogens were detected by the conventional blood culture (BC) and cell-free DNA metagenomics next-generation sequencing (cfDNA mNGS). The present study indicated that 76% (38/50) of positive conventional blood culture (BC

Indexed as

BacteremiaCell-Free Nucleic AcidsEscherichia coliGenomicsHigh-Throughput Nucleotide SequencingHumansKlebsiella pneumoniaeSensitivity and SpecificityCell-Free Nucleic Acidsbacteremiablood culturecell-free DNAnext-generation sequencingpathogens

Identifiers

PMID36369999
PMCPMC9944966
OpenAlexW4308834920

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.