Evidence map›Paper›PMID 42023092›Full record

ArticleFrontiers in medicine2026

Metagenomic next-generation sequencing improves diagnosis of

Xiaodi Li, Dabiao Chen, Yunfei Xiao, Ziying Lei, Xiaohua Yang, Yeqiong Zhang, Lili Li, Yue Zheng, Ying Zhang, Zhanlian Huang and 1 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. 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

11 authors.

Xiaodi Li *Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Dabiao Chen *Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yunfei Xiao *Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Ziying LeiDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Xiaohua YangDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yeqiong ZhangDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Lili LiDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yue ZhengDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Ying ZhangDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Zhanlian HuangDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Bingliang LinDepartment of Infectious Diseases, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Opportunistic infections remain a leading cause of morbidity in people living with HIV (PLWH). Methods: This retrospective study enrolled 56 hospitalized PLWH with coinfections at the Third Affiliated Hospital of Sun Yat-sen University from March 2022 to October 2024. All patients underwent pathogen detection using both mNGS and CTM, with their diagnostic performance compared. Clinical data, treatment adjustments, and outcomes were analyzed. Results: mNGS demonstrated significantly higher detection rate (84.4%, 54/64; 95% CI: 73.1-92.2%) than CTM (28.1%, 18/64; 95% CI: 17.6-40.8%; Conclusion: Our data demonstrated that mNGS had a higher positive detection rate than CTM for detecting coinfections among PLWH, especially for

Indexed as

diagnosisHIV/AIDSmetagenomic next-generation sequencingmixed infectionTalaromyces marneffei

Identifiers

PMID42023092
PMCPMC13096071

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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.