Evidence map›Paper›PMID 39221185›Full record

ArticleInfection and drug resistance2024

Establishment and Validation of a Nomogram for Identifying False Positives in Xpert MTB/RIF Rifampicin Resistance Test.

Libin Liu, Chuyan Wang, Bin Mei, Jing Wang, Xiaoqun Xu, Hongjuan Zhou, Long Cai

Abstract read
In one paragraph

Article in Infection and drug resistance, 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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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Libin Liu *Centre of Laboratory Medicine, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, People's Republic of China.ORCID 0009-0009-6933-9356
Chuyan WangDepartment of Clinical Laboratory, The Third People's Hospital of Lin'an District, Hangzhou, Zhejiang, People's Republic of China.
Bin MeiCentre of Laboratory Medicine, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, People's Republic of China.
Jing WangCentre of Laboratory Medicine, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, People's Republic of China.ORCID 0009-0008-3331-9161
Xiaoqun XuCentre of Laboratory Medicine, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, People's Republic of China.
Hongjuan ZhouCentre of Laboratory Medicine, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, People's Republic of China.ORCID 0009-0005-8911-4796
Long Cai *Centre of Laboratory Medicine, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang, People's Republic of China.ORCID 0000-0001-6585-2448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to establish and validate a diagnostic nomogram for identifying false positives in the Xpert MTB/RIF (Xpert) for detection of rifampicin resistance (RIF-R). Patients and Methods: In this retrospective study, we collected basic patient characteristics and various clinical information from the electronic medical record database. Patients were randomly divided into training and validation groups in a 7:3 ratio. LASSO regression was used to screen variables and construct a diagnostic nomogram. The ROC curve, calibration curve, and decision curve analysis (DCA) were used to evaluate the performance of the nomogram. Results: A total of 384 patients were included in the study, with 268 and 116 patients in the training and validation cohorts, respectively. Finally, probe mutations and probe delay were identified as the independent influencing factors. Using the mutation of probe E as a reference, probes A or C (OR = 51.07, Conclusion: The nomogram constructed can identify false positives in Xpert for detection of RIF-R and provides basis for clinicians to formulate diagnosis and treatment plans.

Indexed as

calibration curvenomogramprobe delayprobe mutation

Identifiers

PMID39221185
PMCPMC11363940

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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.