Evidence map›Paper›PMID 41816393›Full record

ArticleJournal of thoracic disease2026

Differences in pulmonary cavity features among drug-sensitive pulmonary tuberculosis and multidrug/extensively-resistant pulmonary tuberculosis: a multi-national multi-center computed tomography-based study.

Sheng-Nan Tang, Xi-Ling Huang, Alena Skrahina, Qiu-Ting Zheng, Aleh Tarasau, Dzmitry Klimuk, Sofia Alexandru, Valeriu Crudu, Michael Harris, Darrell E Hurt and 24 more

Abstract read
In one paragraph

Article in Journal of thoracic disease, 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

34 authors.

Sheng-Nan TangDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Xi-Ling HuangDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Alena SkrahinaRepublican Scientific and Practical Centre of Pulmonology and Tuberculosis, Minsk, Republic of Belarus.
Qiu-Ting ZhengShenzhen Center for Chronic Disease Control, Shenzhen, China.
Aleh TarasauRepublican Scientific and Practical Centre of Pulmonology and Tuberculosis, Minsk, Republic of Belarus.
Dzmitry KlimukRepublican Scientific and Practical Centre of Pulmonology and Tuberculosis, Minsk, Republic of Belarus.
Sofia AlexandruInstitute of Pneumology, Chisinau, Republic of Moldova.
Valeriu CruduInstitute of Pneumology, Chisinau, Republic of Moldova.
Michael HarrisOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Darrell E HurtOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Irada AkhundovaScientific Research Institute of Lung Diseases, Ministry of Health, Baku, Republic of Azerbaijan.
Zaza AvalianiThe National Center for Tuberculosis and Lung Diseases, Tbilisi, Republic of Georgia.
Sergo VashakidzeThe National Center for Tuberculosis and Lung Diseases, Tbilisi, Republic of Georgia.
Natalia ShubladzeThe National Center for Tuberculosis and Lung Diseases, Tbilisi, Republic of Georgia.
Guang-Ping ZhengDepartment of Radiology, The Third People's Hospital of Shenzhen, Shenzhen, China.
Xiao-Hui BaoDepartment of Radiology, The Third People's Hospital of Shenzhen, Shenzhen, China.
Andrei Alexandru MunteanThe "Cantacuzino" National Military Medical Institute for Research and Development, Bucharest, Romania.
Irina StrambuMarius Nasta Pneumophtisiology Institute, Ministry of Health, Bucharest, Romania.
Dragos-Cosmin ZahariaThe "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania.
Eugenia GhitaMarius Nasta Pneumophtisiology Institute, Ministry of Health, Bucharest, Romania.
Miron BogdanMarius Nasta Pneumophtisiology Institute, Ministry of Health, Bucharest, Romania.
Roxana MunteanuMarius Nasta Pneumophtisiology Institute, Ministry of Health, Bucharest, Romania.
Victor SpinuMarius Nasta Pneumophtisiology Institute, Ministry of Health, Bucharest, Romania.
Alexandra CristeaMarius Nasta Pneumophtisiology Institute, Ministry of Health, Bucharest, Romania.
Catalina EneMarius Nasta Pneumophtisiology Institute, Ministry of Health, Bucharest, Romania.
Valery KirichenkoUnited Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Republic of Belarus.
Eduard SnezhkoUnited Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Republic of Belarus.
Vassili KovalevUnited Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Republic of Belarus.
Alexander TuzikovUnited Institute of Informatics Problems, National Academy of Sciences of Belarus, Minsk, Republic of Belarus.
Andrei GabrielianOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Alex RosenthalOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Pu-Xuan Lu *Shenzhen Center for Chronic Disease Control, Shenzhen, China.
Aliaksandr Skrahin *Republican Scientific and Practical Centre of Pulmonology and Tuberculosis, Minsk, Republic of Belarus.
Yì Xiáng J Wáng *Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-5697-0717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary cavities (PC) are known to be more prevalent among multidrug-resistant pulmonary tuberculosis (MDR)/extensively drug-resistant tuberculosis (XDR) patients than among drug-sensitive tuberculosis (DS) patients. This study aims to clarify how the interaction between Methods: Eastern European patient data were from the NIAID TB (National Institute of Allergy & Infectious Diseases Tuberculosis) Portals Program registered before January 2019. Chinese patients were from Shenzhen, China, treated between April 2017 and February 2019. There were in total 244 DS cases (222 new patients and 22 previously treated patients), 344 MDR cases (188 new patients and 156 previously treated patients), and 155 XDR cases (36 new patients and 119 previously treated patients). The first chest computed tomography (CT) images were analysed. PC were counted only for those with a lumen diameter >5 mm. Multiple cavities in a single consolidation were counted as one cavity. Calcified lesions in the lungs, as a sign of chronicity, were also recorded. Results: In new patients, there was no difference in lung lesion calcification prevalence among DS (13.5%), MDR (14.4%), and XDR (13.9%). In previously treated patients, lung calcification prevalence was 36.4% for DS, 44.9% for MDR, and 45.4% for XDR. For new patients, the PC prevalence was higher for MDR cases than for DS cases (41% Conclusions: MDR/XDR patients exhibit significantly higher PC prevalence and more extensive pulmonary involvement compared to DS patients, which are not totally determined by the length of disease history. Compared with literature reports, the prevalence of PC and the PC number per positive case were comparatively low in this study. Taking all results together, PC number ≥3 offers reasonable specificity for suggesting the diagnosis of MDR, though the sensitivity would be low.

Indexed as

Cavitycomputed tomography (CT)drug-sensitive tuberculosis (DS)multidrug-resistant tuberculosis (MDR)

Identifiers

PMID41816393
PMCPMC12972916

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.