Evidence map›Paper›PMID 38510040›Full record

ArticleHeliyon2024

A retrospective study of the detection of sepsis pathogens comparing blood culture and culture-independent digital PCR.

Zhijun Zhao, Yixuan Wang, Yuting Kang, Geng Wu, Jing He, Zhanying Wang, Ju Yang, Yaqi Wang, Xiaojun Yang, Wei Jia

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Validation of CRownLab Pneumoplex for the Detection ofInternational journal of microbiology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
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

10 authors at 1 institution in 1 country.

Zhijun ZhaoMedical Laboratory Center, General Hospital of Ningxia Medical University, Yinchuan, China.
Yixuan WangSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Yuting KangNingxia Key Laboratory of Clinical Pathogenic Microorganisms, Yinchuan, China.
Geng WuSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, China.
Jing HeDepartment of Research and Development, Rainsure Scientific Co. Ltd., Suzhou, China.
Zhanying WangDepartment of Research and Development, Rainsure Scientific Co. Ltd., Suzhou, China.
Ju YangDepartment of Research and Development, Rainsure Scientific Co. Ltd., Suzhou, China.
Yaqi WangDepartment of Research and Development, Rainsure Scientific Co. Ltd., Suzhou, China.
Xiaojun YangDepartment of Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
Wei JiaMedical Laboratory Center, General Hospital of Ningxia Medical University, Yinchuan, China.
Ningxia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast and precise identification of microorganisms in the early diagnosis of sepsis is crucial for enhancing patient outcomes. Digital PCR (dPCR) is a highly sensitive approach for absolute quantification that can be utilized as a culture-independent molecular technique for diagnosing sepsis pathogens. We performed a retrospective investigation on 69 ICU patients suspected of sepsis. Our findings showed that a multiplex dPCR diagnostic kit outperformed blood culture in detecting the 15 most frequent bacteria that cause sepsis. Ninety-two bacterial strains were identified using dPCR at concentrations varying from 34 copies/mL to 105,800 copies/mL. The detection rate of dPCR was much greater than that of BC, with 27.53% (19/69) versus 73.91% (51/69). The sensitivity of dPCR was 63.2%. Our research indicated that dPCR outperforms blood culture in the early detection of sepsis-causing microorganisms. The diagnostic kit can detect a greater variety of pathogens with quantitative data, including polymicrobial infections, and has a quicker processing time. DPCR is a valuable technique that could aid in the proper management of sepsis.

Indexed as

Antimicrobial therapyBlood cultureDPCRPathogensSepsis

Identifiers

PMID38510040
PMCPMC10951527
OpenAlexW4392545364

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.