Evidence map›Paper›PMID 41090121›Full record

ArticleFrontiers in medicine2025

Comparative analysis between digital PCR and blood culture for blood pathogen detection.

Min Zhao, Yan Yang, Lifeng Yao, Huiming Chen, Mengqing Zhang, Yaozhen Guo, Sichao Zhang, Rong Huang, Fengrong Cai, Ling Zhang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

10 authors.

Min Zhao *Clinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Yan Yang *Clinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Lifeng YaoClinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Huiming ChenClinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Mengqing ZhangClinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Yaozhen GuoClinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Sichao ZhangClinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Rong HuangClinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Fengrong CaiClinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.
Ling ZhangClinical Laboratory, Affiliated Chenggong Hospital of Xiamen University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Rapid and accurate identification of pathogens causing blood infections plays a pivotal role in the early diagnosis and management of infections. Digital PCR (dPCR) is a new nucleic acid amplification technology exhibiting high sensitivity for the rapid detection and absolute quantification of multiple pathogens in the blood. Methods: Herein, we conducted a retrospective study involving 149 patients with suspected infections and compared the differences between dPCR assay and blood culture in pathogen detection. Results: Blood culture showed six positive specimens and six pathogenic strains, whereas dPCR assay showed 42 positive specimens and 63 pathogenic strains. The concentrations of positive pathogens detected via dPCR varied from 25.5 to 439,900 copies/mL. Discussion: Our study demonstrated that dPCR assay has higher sensitivity, shorter detection time, and wider detection range than blood culture in blood pathogen detection, indicating its capability to support anti-infective therapy for patients.

Indexed as

blood culturedigital PCRinfectionpathogensensitivity

Identifiers

PMID41090121
PMCPMC12515817

What OpenQuestion holds

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Registered trials

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