Evidence map›Paper›PMID 39290502›Full record

ArticleOpen life sciences2024

Clinical value of macrogenome next-generation sequencing on infections.

Benfa Han, Xiaoli Zhang, Xiuxi Li, Mei Chen, Yanlin Ma, Yunxia Zhang, Song Huo

Abstract read
In one paragraph

Article in Open life sciences, 2024. 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

7 authors.

Benfa HanDepartment of Infectious Diseases, Southern Central Hospital of Yunnan Province, The First People's Hospital of HongHe State, Honghe, 661000, Yunnan, China.
Xiaoli ZhangDepartment of Infectious Diseases, Southern Central Hospital of Yunnan Province, The First People's Hospital of HongHe State, Honghe, 661000, Yunnan, China.
Xiuxi LiDepartment of Infectious Diseases, Southern Central Hospital of Yunnan Province, The First People's Hospital of HongHe State, Honghe, 661000, Yunnan, China.
Mei ChenDepartment of Infectious Diseases, Southern Central Hospital of Yunnan Province, The First People's Hospital of HongHe State, Honghe, 661000, Yunnan, China.
Yanlin MaDepartment of Pharmaceutical, Southern Central Hospital of Yunnan Province, The First People's Hospital of HongHe State, Honghe, 661000, Yunnan, China.
Yunxia ZhangDepartment of Infectious Diseases, Southern Central Hospital of Yunnan Province, The First People's Hospital of HongHe State, Honghe, 661000, Yunnan, China.
Song HuoDepartment of Infectious Diseases, Southern Central Hospital of Yunnan Province, The First People's Hospital of HongHe State, Honghe, 661000, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracranial infection (ICI) is a frequent and serious complication after neurosurgery. Macrogenome next-generation sequencing (mNGS) technology can provide reference for clinical diagnosis and treatment of ICI. This work aimed to explore the application value of mNGS technology in analyzing the clinical characteristics of human immunodeficiency virus (HIV) infection and ICI after neurosurgery. A total of 60 patients with ICI were enrolled as the research objects, all patients underwent routine cerebrospinal fluid analysis and traditional pathogen detection, followed by mNGS genome analysis. Using clinical diagnosis of ICI as the gold standard, the sensitivity, specificity, positive predictive value, and negative predictive value for both detection methods were calculated. Receiver operating characteristic curves were constructed to assess the area under the curve (AUC) for evaluating the clinical value of mNGS in suspected intracranial infectious pathogen diagnosis. Results showed a positivity rate of 71.67% (43 cases) with mNGS compared to 28.33% (17 cases) with traditional pathogen detection methods, demonstrating a significant difference (

Indexed as

clinical analysisefficacy evaluationintracranial infectionmNGS technologypathogen detection

Identifiers

PMID39290502
PMCPMC11406221

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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.