Evidence map›Paper›PMID 39998247›Full record

ArticleMicrobiology spectrum2025

Performance of ddPCR-GNB for microbial diagnosis of suspected bloodstream infection due to the four most common gram-negative bacteria: a prospective, multicenter study.

Shan-Shan Weng, Ling Lin, Jian-Feng Xie, Bang-Chuan Hu, Xue-Qing Ma, Jiang Xia, Yan Jiang, Hua Zhou, Xiao-Yan Wu, Yu-Hong Jin and 5 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  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

15 authors.

Shan-Shan Weng *Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0009-0008-2968-668X
Ling Lin *Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jian-Feng Xie *Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Bang-Chuan HuIntensive Care Unit, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.
Xue-Qing MaDepartment of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiang XiaPilot Gene Technologies (Hangzhou) Co., Ltd, Hangzhou, China.
Yan JiangDepartment of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-5877-9286
Hua ZhouDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID 0000-0001-6397-3203
Xiao-Yan WuDepartment of Laboratory Medicine, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.ORCID 0000-0003-1716-6245
Yu-Hong JinDepartment of Critical Care Medicine, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, China.
Guo-Qiu WuJiangsu Provincial Key Laboratory of Critical Care Medicine, Center of Clinical Laboratory Medicine, Zhongda Hospital, Southeast University, Nanjing, China.ORCID 0000-0002-0403-7607
Yi YangJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
Ren-Hua SunIntensive Care Unit, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China.
Yun-Song Yu *Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0003-2903-918X
Dong-Dong Zhao *Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-0697-9163

Funding

Key R&D Plan of Ministry of Science and Technology of China 2022YFC2504502Key Research Program of the Science Technology Department of Zhejiang Province 2021C03055
6 · The paper itself

Abstract

We aimed to validate the performance of ddPCR-GNB, a plasma droplet digital PCR panel targeting the four most common gram-negative bacteria, for patients with suspected bloodstream infection (BSI). Patients suspected of having BSIs were prospectively enrolled. The results of blood culture and ddPCR-GNB were compared, and cases with discordant results were arbitrated on the basis of additional microbiological results and clinical evidence. A total of 1,041 patients were enrolled. Blood culture and ddPCR-GNB results were positive for targeted bacteria in 6.3% and 31.7% of patients, respectively. The overall per-patient sensitivity and specificity of ddPCR-GNB for proven BSIs were 98.5% (95% CI, 91.9% to 99.9%) and 72.8% (95% CI, 69.9% to 75.5%), respectively; the negative predictive value was 99.9% (95% CI, 99.2% to 100%). The discordant results included 265 cases (25.5%) with negative companion blood culture results but positive ddPCR-GNB results and one case vice versa. A total of 23.7% of the cases were attributed to probable ( IMPORTANCE: This is the first multicentral study to validate the clinical performance of ddPCR in etiological diagnosis of bloodstream infection. The results showed that ddPCR has high sensitivity and increased detection rate compared with blood culture. The study proved the potential of the ddPCR method in microbial diagnoses.

Indexed as

BacteremiaGram-Negative BacteriaGram-Negative Bacterial InfectionsMolecular Diagnostic TechniquesPolymerase Chain ReactionAdolescentAdultAgedAged, 80 and overBlood CultureFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective Studiesbloodstream infectiondroplet digital PCRrapid diagnosis

Identifiers

PMID39998247
PMCPMC11960046

What OpenQuestion holds

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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.