Evidence map›Paper›PMID 39267031›Full record

ArticleAnnals of clinical microbiology and antimicrobials2024

Retrospective clinical and microbiologic analysis of metagenomic next-generation sequencing in the microbiological diagnosis of cutaneous infectious granulomas.

Hsingmei Liu, Qiao Ran, Jianchi Ma, Jing Zhang, Ni Tan, Liyan Xi, Xiqing Li, Junmin Zhang, Sha Lu

Abstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

9 authors.

Hsingmei Liu *Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
Qiao Ran *Department of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
Jianchi MaDepartment of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
Jing ZhangDepartment of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
Ni TanDepartment of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
Liyan XiDepartment of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
Xiqing LiDepartment of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
Junmin ZhangDepartment of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China.
Sha LuDepartment of Dermatology and Venereology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, #107 Yanjiang West Rd., Guangzhou, 510120, Guangdong, China. lush7@mail.sysu.edu.cn.

Funding

Guangzhou Municipal Science and Technology Project 202201020345National Natural Science Foundation of China 82172289
6 · The paper itself

Abstract

backgroundCutaneous infectious granulomas (CIG) are localized and chronic skin infection caused by a variety of pathogens such as protozoans, bacteria, worms, viruses and fungi. The diagnosis of CIG is difficult because microbiological examination shows low sensitivity and the histomorphological findings of CIG caused by different pathogens are commonly difficult to be distinguished.

objectiveThe objective of this study is to explore the application of mNGS in tissue sample testing for CIG cases, and to compare mNGS with traditional microbiological methods by evaluating sensitivity and specificity.

methodsWe conducted a retrospective study at the Department of Dermatology of Sun Yat-sen Memorial Hospital, Sun Yat-sen University from January 1st, 2020, to May 31st, 2024. Specimens from CIG patients with a clinical presentation of cutaneous infection that was supported by histological examination were retrospectively enrolled. Specimens were delivered to be tested for microbiological examinations and mNGS.

resultsOur data show that mNGS detected Non-tuberculosis mycobacteria, Mycobacterium tuberculosis, fungi and bacteria in CIG. Compared to culture, mNGS showed a higher positive rate (80.77% vs. 57.7%) with high sensitivity rate (100%) and negative predictive value (100%). In addition, mNGS can detect more pathogens in one sample and can be used to detect variable samples including the samples of paraffin-embedded tissue with shorter detective time. Of the 21 patients who showed clinical improvement within a 30-day follow-up, eighteen had their treatments adjusted, including fifteen who continued treatment based on the results of mNGS.

conclusionsmNGS could provide a potentially rapid and effective alternative detection method for diagnosis of cutaneous infectious granulomas and mNGS results may affect the clinical prognosis resulting from enabling the patients to initiate timely treatment.

Indexed as

GranulomaHigh-Throughput Nucleotide SequencingAdolescentAdultAgedBacteriaChildFemaleFungiHumansMaleMetagenomicsMiddle AgedRetrospective StudiesSensitivity and SpecificitySkinCutaneous infectious granulomasMetagenomic next-generation sequencingNon-tuberculosis mycobacteriaParaffin-embedded tissueTissue

Identifiers

PMID39267031
PMCPMC11395180

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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.