Evidence map›Paper›PMID 40917703›Full record

ArticlePractical laboratory medicine2025

Quantitative diagnostic method to detect Gardnerella vaginalis by droplet digital PCR.

Yong-Zhuo Zhou, Yun-Hu Zhao, Yan-Lan Chen, Wei-Zhen Fang, Bi-Si Liang, Xu-Guang Guo, Chao-Hui Duan, Hui-Ling Hu

Abstract read
In one paragraph

Article in Practical laboratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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

8 authors.

Yong-Zhuo ZhouDepartment of Clinical Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Yun-Hu ZhaoDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
Yan-Lan ChenGuangzhou Xiaoqi Biotechnology Co., LTD, Guangzhou, 510699, China.
Wei-Zhen FangDepartment of Clinical Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Bi-Si LiangGuangzhou Archean Gene S&T Co.,LTD, Guangzhou, 510000, China.
Xu-Guang GuoInstitute of Gerontology, Guangzhou Geriatric Hospital, Guangzhou Medical University, Guangzhou, 51000, China.
Chao-Hui DuanDepartment of Clinical Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
Hui-Ling HuDepartment of Clinical Laboratory, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nucleic Acid Amplification Tests (NAAT) remain one of the most reliable methods for pathogen identification. Given the high false-negative rates associated with traditional staining and microscopic examination, the time-consuming nature and low sensitivity of bacterial culture methods, as well as the inability of conventional NAAT to achieve absolute quantification. Methods: To achieve rapid and quantitative detection of Results: The entire detection process can be completed within 92 min, demonstrating high efficiency. The sensitivity reached 4.4 pg/μL, and no positive droplets were detected in experiments involving eight negative control pathogens, confirming high specificity. Additionally, the ddPCR assay for Conclusion: The ddPCR detection technology demonstrates characteristics such as absolute quantification, high sensitivity, high specificity, and high reproducibility for

Indexed as

Droplet digital PCRGardnerella vaginalisQuantitative testing

Identifiers

PMID40917703
PMCPMC12410466

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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.