Evidence map›Paper›PMID 39690768›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2024

[Clinical value of automated EasyNAT system for the diagnosis of tuberculosis in paraffin-embedded tissues].

Jialu Che, Zichen Liu, Kun Li, Chen Zhang, Nanying Che

Abstract readEnglish Abstract
PubMed Full text at PMC
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health 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.

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0citing papers in PubMed
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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

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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

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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

5 authors.

Jialu CheDepartment of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.
Zichen LiuDepartment of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.
Kun LiDepartment of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.
Chen ZhangDepartment of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.
Nanying CheDepartment of Pathology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAssessing the accuracy of automated EasyNAT system for rapidly detecting paraffin-embedded tissue for the diagnosis of tuberculosis.

methodsA retrospective analysis was conducted on 134 patients, comprising 101 with confirmed tuberculosis and 33 without tuberculosis, treated at Beijing Chest Hospital, Capital Medical University, between 2018 and 2022.The clinical diagnostic results served as the standard for assessing the diagnostic performance of the EasyNAT system in comparison to quantitative real-time polymerase chain reaction (qPCR) for tuberculosis detection in paraffin-embedded tissues.The evaluation criteria included sensitivity, specificity, positive predictive value, negative predictive value, and accuracy rate.

resultsBased on the clinical diagnostic results, the EasyNAT assay demonstrated a sensitivity of 87.1%(88/101, 95%

conclusionThe EasyNAT nucleic acid rapid detection system can quickly, conveniently, and accurately detect

Indexed as

Paraffin EmbeddingReal-Time Polymerase Chain ReactionSensitivity and SpecificityTuberculosisFemaleHumansMaleMycobacterium tuberculosisNucleic Acid Amplification TechniquesPredictive Value of TestsRetrospective StudiesCross-priming isothermal amplification technologyDiagnosisMolecular pathologyParaffin-embedded tissueTuberculosis

Identifiers

PMID39690768
PMCPMC11652984

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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.