Evidence map›Paper›PMID 36743337›Full record

ArticleInfection and drug resistance2023

Clinical and Computed Tomography Features Associated with Multidrug-Resistant Pulmonary Tuberculosis: A Retrospective Study in China.

Chun-Hua Li, Xiao Fan, Sheng-Xiu Lv, Xue-Yan Liu, Jia-Nan Wang, Yong-Mei Li, Qi Li

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

6 citing papers in PubMed, 4 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Chun-Hua Li *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Xiao Fan *Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, People's Republic of China.ORCID 0000-0002-0467-0867
Sheng-Xiu LvDepartment of Radiology, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Xue-Yan LiuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Jia-Nan WangDepartment of Radiology, Chongqing Public Health Medical Center, Chongqing, People's Republic of China.
Yong-Mei LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.ORCID 0000-0001-5558-9738
Qi LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Public Health Medical Center · CNChildren's Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the value of integrating clinical and computed tomography (CT) features to predict multidrug-resistant pulmonary tuberculosis (MDR-PTB). Patients and Methods: The study included 212 patients with MDR-PTB and 180 patients with drug-sensitive pulmonary tuberculosis (DS-PTB) who referred to our institute in China between January 2016 and March 2021. The clinical and CT characteristics were analyzed and compared between both groups. Multivariable logistic regression analysis was performed to identify independent factors that can be used to predict MDR-PTB. Furthermore, 115 patients admitted to another center from January 2019 to January 2022 were included as external validation cohort. Results: For clinical characteristics, five parameters were significantly different between the two groups (all Conclusion: MDR-PTB and DS-PTB have different clinical and imaging characteristics. A combined model incorporating these differential features can promptly diagnose MDR-PTB and develop subsequent therapeutic strategies.

Indexed as

computed tomographymultidrug-resistant tuberculosistuberculosis

Identifiers

PMID36743337
PMCPMC9897068
OpenAlexW4318457057

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.