Evidence map›Paper›PMID 41229783›Full record

ArticleJournal of thoracic disease2025

Differences in pulmonary nodular consolidation features among drug-sensitive pulmonary tuberculosis and multidrug/extensively-resistant pulmonary tuberculosis: a multi-national multi-center study.

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

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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 Tang *Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Xi-Ling Huang *Department 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.
Dzmitri 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, Maryland, USA.
Darrell E HurtOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, 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, Maryland, USA.
Alex RosenthalOffice of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, 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 nodular consolidation (PN) may represent an imaging sign potentially useful in differentiating multidrug-resistant (MDR) pulmonary tuberculosis (PTB) from drug-sensitive (DS) tuberculosis (TB) on chest computed tomography (CT). This study aims to confirm the difference in PN features between DS and MDR patients. Methods: Eastern European (Belarus, Moldova, Romania, Azerbaijan, and Georgia) patient data were obtained from the NIAID TB (National Institute of Allergy & Infectious Diseases Tuberculosis) Portals Program registered before January 2019. Chinese patients were obtained 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), 155 extensively drug-resistant (XDR) TB cases (36 new patients and 119 previously treated patients). The first CT scan's images were used. A PN was defined as rounded or oval with a relatively clear boundary measuring between 6 and 30 mm in diameter. 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 (16.1%) and MDR (15.0%). In previously treated patients, lung calcification prevalence was 38.5% for DS, 48.3% for MDR, and 52.8% for XDR. For new patients, the PN prevalence was higher for MDR/XDR cases than for DS cases (around 70% Conclusions: MDR/XDR patients exhibit significantly higher PN prevalence and more extensive pulmonary involvement compared to DS patients and which is not totally determined by disease history length, suggesting that PN characteristics could serve as imaging biomarkers for drug resistance assessment.

Indexed as

Differential diagnosisdrug-sensitive (DS)extensively drug-resistant TB (XDR TB)multidrug-resistant (MDR)pulmonary tuberculosis (PTB)

Identifiers

PMID41229783
PMCPMC12603508

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.