Evidence map›Paper›PMID 36722318›Full record

ArticleMicrobial biotechnology2023

Clinical evaluation of polymerase chain reaction coupled with quantum dot fluorescence analysis in the identification of bacteria and yeasts in patients with suspected bloodstream infections.

Jie Li, Wenjia Fan, Xuehan Zou, Xuan Dai, Yueyue Zhao, Hongying Pan, Shijin Wu, Xi Li, Haijun Huang

Open access · goldAbstract read
In one paragraph

Article in Microbial biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Nucleic Acid Amplification Tests forPathogens (Basel, Switzerland) · 2026
    Pooled it
  2. Article
  3. Article
  4. 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

9 authors at 2 institutions in 1 country.

Jie LiCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, China.ORCID 0000-0002-0822-1890
Wenjia FanCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, China.
Xuehan ZouDepartment of Infectious Disease, Zhejiang Provincial People's Hospital, Hangzhou, China.
Xuan DaiDepartment of Infectious Disease, Zhejiang Provincial People's Hospital, Hangzhou, China.
Yueyue ZhaoDepartment of Infectious Disease, Zhejiang Provincial People's Hospital, Hangzhou, China.
Hongying PanDepartment of Infectious Disease, Zhejiang Provincial People's Hospital, Hangzhou, China.
Shijin WuCollege of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, China.
Xi LiCentre of Laboratory Medicine, Zhejiang Provincial People's Hospital, Hangzhou, China.
Haijun HuangDepartment of Infectious Disease, Zhejiang Provincial People's Hospital, Hangzhou, China.ORCID 0000-0002-2591-8729
Zhejiang Provincial People's Hospital · CNZhejiang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infections are serious and complex infectious diseases that often require a rapid diagnosis. Polymerase chain reaction coupled with quantum dot fluorescence analysis (PCR-QDFA) is a novel diagnostic technique. This study aimed to evaluate the diagnostic performance of PCR-QDFA for pathogen detection in patients with suspected bloodstream infections (BSIs). It evaluates 29 kinds of common pathogens (24 bacteria and 5 yeasts) from blood culture bottles. The results of PCR-QDFA identification and traditional microbial laboratory identification were compared, and the latter was used as the 'gold standard' to analyse the diagnostic performance of the PCR-QDFA. In total, 517 blood culture bottles were included in this study. The PCR-QDFA identified microorganisms in 368/422 (87.2%) samples with monomicrobial growth. For the pathogens on the PCR-QDFA list, the assay showed a higher sensitivity of 97.4% (368/378). When polymicrobial growth was analysed, the PCR-QDFA successfully detected 19/25 (76%) microorganisms on the PCR-QDFA list. In addition, 82/82 negative blood culture bottles also showed no pathogens by PCR-QDFA with a specificity of 100%. In conclusion, the PCR-QDFA assay could identify a majority of the common pathogens encountered in clinical practice, showing excellent diagnostic performance for pathogen detection in patients with suspected BSIs.

Indexed as

Quantum DotsSepsisBacteriaHumansPolymerase Chain ReactionSensitivity and SpecificityYeasts

Identifiers

PMID36722318
PMCPMC10034622
OpenAlexW4318754032

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.