Evidence map›Paper›PMID 36065285›Full record

ReviewJournal of ophthalmology2022

Application of High-Throughput Sequencing Technology in Identifying the Pathogens in Endophthalmitis.

Peini Cheng, Kui Dong, Zhiming Kang, Jing Li, Wenjuan Wang, Xiaodan Zhang, Guohong Zhou

Open access · goldAbstract readReview
In one paragraph

Review in Journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Peini ChengDepartment of School of the 1st Clinical Medical Sciences, Shanxi Medical University, TaiYuan, Shanxi 030000, China.ORCID https://orcid.org/0000-0003-4526-5611
Kui DongDepartment of Ophthalmology, Shanxi Eye Hospital, TaiYuan, Shanxi 030000, China.ORCID https://orcid.org/0000-0002-0320-694X
Zhiming KangDepartment of Ophthalmology, Shanxi Eye Hospital, TaiYuan, Shanxi 030000, China.ORCID https://orcid.org/0000-0003-4794-8600
Jing LiDepartment of Ophthalmology, Shanxi Eye Hospital, TaiYuan, Shanxi 030000, China.ORCID https://orcid.org/0000-0003-3962-8623
Wenjuan WangDepartment of Ophthalmology, Shanxi Eye Hospital, TaiYuan, Shanxi 030000, China.ORCID https://orcid.org/0000-0002-1353-7953
Xiaodan ZhangDepartment of Ophthalmology, Shanxi Eye Hospital, TaiYuan, Shanxi 030000, China.ORCID https://orcid.org/0000-0002-6047-0421
Guohong ZhouDepartment of Ophthalmology, Shanxi Eye Hospital, TaiYuan, Shanxi 030000, China.ORCID https://orcid.org/0000-0002-3221-7867
Shanxi Eye Hospital · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious endophthalmitis is an important cause of vision loss worldwide. It is an inflammatory reaction caused by bacteria, fungi, and other micro-organisms and often occurs as a complication of intraocular surgery, especially following cataract surgery or intravitreal injection. The focus of the prevention and treatment of infectious endophthalmitis is the early detection of microbial flora, such as fungi or bacteria. Current identification methods for bacteria include Gram staining-based, culture-based, and polymerase chain reaction (PCR)-based methods. The matrix-assisted laser desorption/ionization time-of-flight mass spectrometry technology is now the standard identification method of bacteria and fungi after their isolation in culture. The remarkable sensitivity of PCR technology for the direct detection of micro-organisms in clinical samples makes it particularly useful in culture-positive and culture-negative endophthalmitis. Furthermore, PCR increases the rate of microorganism detection in intraocular samples by 20% and can provide a microbiology diagnosis in approximately 44.7-100% of the culture-negative cases. This review aims to introduce the development of different methods for the detection and identification of micro-organisms causing endophthalmitis through a literature review; introduce the research status of the first, second, and third-generation sequencing technologies in infectious endophthalmitis; and understand the research status of endophthalmitis microbial flora. For slow-growing and rare micro-organisms, high-throughput sequencing (HTS) offers advantages over conventional methods and provides a basis for the identification of pathogens in endophthalmitis cases with negative culture. It is a reliable platform for the identification of pathogenic bacteria of infectious endophthalmitis in the future and provides a reference for the clinical diagnosis and treatment of infectious endophthalmitis. The application of HTS technology may also be transformative for clinical microbiology and represents an exciting future direction for the epidemiology of ocular infections.

Identifiers

PMID36065285
PMCPMC9440830
OpenAlexW4293569793

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.