Evidence map›Paper›PMID 41877904›Full record

ArticleInfection and drug resistance2026

Diagnostic Performance of Droplet Digital PCR for Detecting Pathogens and Resistance Genes in Patients with Suspected Bloodstream Infections.

Shengjun Wu, Chen Xu, Ying Fu, Lu Zhang, Linyue Zhang

Abstract read
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In one paragraph

Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Shengjun WuSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.
Chen XuDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, People's Republic of China.
Ying FuDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, People's Republic of China.
Lu ZhangDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, People's Republic of China.
Linyue ZhangDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We aimed to evaluate the diagnostic performance and clinical impact of droplet digital PCR (ddPCR) in patients with suspected bloodstream infections (BSIs) and demonstrated how ddPCR can benefit diagnostic and antimicrobial stewardship efforts. Patients and Methods: We conducted a prospective study in a tertiary hospital in China, 50 patients with suspected BSIs were recruited and 50 blood samples were collected for ddPCR and blood culture (BC). Results: In terms of diagnostic performance, ddPCR exhibited a superior detection rate (64% vs 30%), a relatively high sensitivity (86.67%), and less turn-around time (27.16 ± 13.95 hours vs 70.87 ± 15.8 hours, Conclusion: The clinical value of ddPCR is to detect and quantify pathogens and resistance genes early to provide appropriate guidance for therapeutic options.

Indexed as

antibiotic resistance genescarbapenem resistanceclinical applicationdroplet digital PCR

Identifiers

PMID41877904
PMCPMC13007687

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Registered trials

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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.