Evidence map›Paper›PMID 39694980›Full record

ArticleJournal of ophthalmic inflammation and infection2024

Rapid, multiplex and automated detection of bacteria and fungi in endophthalmitis via a microfluidic real-time pcr system.

Siyu Wang, Yiteng Liu, Yingqi Li, Yibo Gao, Zhongliang Zou, Na Xu, Qi Song, Fangyan Liu, Yihong Song, Xian Wang and 1 more

Abstract read
In one paragraph

Article in Journal of ophthalmic inflammation and infection, 2024. 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.

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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

11 authors.

Siyu Wang *Department of Ophthalmology, the First Affiliated Hospital of China Medical University, No. 155 Nanjing Bei Street, Heping District, Shenyang City, 110001, Liaoning Province, PR China.
Yiteng Liu *Division of Emerging Interdisciplinary Areas, Academy of Interdisciplinary Studies, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, 999077, Hong Kong SAR, China.
Yingqi LiThe Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China.
Yibo GaoDepartment of Physics, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, 999077, Hong Kong SAR, China.
Zhongliang ZouOphthalmology Department, Shenzhen Eye Hospital, Shenzhen, 518040, Guangdong, China.
Na XuHKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen, China.
Qi SongDepartment of Physics, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, 999077, Hong Kong SAR, China.
Fangyan LiuOphthalmology Department, Shenzhen Eye Hospital, Shenzhen, 518040, Guangdong, China.
Yihong SongOphthalmology Department, Shenzhen Eye Hospital, Shenzhen, 518040, Guangdong, China.
Xian WangThe Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, Guizhou Province, China. liangliang830@126.com.
Zixin FanOphthalmology Department, Shenzhen Eye Hospital, Shenzhen, 518040, Guangdong, China. fanzixin@sz-eyes.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndophthalmitis is an ophthalmologic emergency requiring accurate and rapid diagnosis for treatment. Currently, the diagnosis commonly relies on culture and molecular biology, which falls short of clinical rapid diagnosis. The purpose of this study was to evaluate the feasibility of a self-build Microfluidic Real-time Polymerase Chain Reaction (RT-PCR) System for rapidly identifying potential pathogens of endophthalmitis.

methodsThis study included 22 patients who presented to Shenzhen Eye Hospital and the Ophthalmology Department of the Affiliated Hospital of Guizhou Medical University in China between January 2023 and March 2024. The samples were cultured using conventional methods and underwent Microfluidic RT-PCR and metagenomic next-generation sequencing (mNGS).

resultsThe Microfluidic RT-PCR System identified pathogens in 11 of 22 cases (50.00%), compared with 40.91% for microbiology culture. 14 cases (63.64%) had concordant results, and 5 cases were positive for the microfluidic system only. The agreements between culture and microfluidic system, as well as culture and mNGS were 100.00% (6/6) and 50.00% (3/6), respectively. The average waiting time for the microfluidic system was about 30 min if excepting DNA extraction time, which was much shorter than 2.88 days for culture and 1.57 days for mNGS.

conclusionThe microfluidic-based RT-PCR system was preliminarily proved to be a sensitive, easy-to-operate, and rapid in-hospital technology. It is expected to become a rapid diagnostic platform for endophthalmitis.

Indexed as

EndophthalmitisLab-on-chipMicrofluidicsPolymerase chain reactionRapid detection

Identifiers

PMID39694980
PMCPMC11655742

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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.