ArticleBMC infectious diseases2025
Analysis of factors influencing high infectivity in patients with tuberculosis using clinical and imaging methods.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundTo optimise early screening for hospitalised patients with highly contagious tuberculosis (TB) to allow for effective isolation measures to reduce the risk of TB transmission.
methodsData were collected from 9458 newly diagnosed patients with TB from 1 January 2015 to 31 December 2023 at a designated TB hospital in Tianjin. The patients were divided into two groups based on their infection status: highly infectious and less infectious. Data, including clinical characteristics and computerised tomography (CT) examination results, were extracted from the hospital information system. High-resolution chest CT was performed using standardised protocols. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive model.
resultsUnivariate analysis revealed significant differences in sex, age ≥ 60, patient delay, and CT findings (cavitation, consolidation, tree-in-bud sign, bronchial lesions, pleural effusion, lymphadenopathy, and pericardial effusion) between the two groups (P < 0.001). Multivariate logistic regression identified age ≥ 60 (odds ratio (OR) = 1.382), patient delay (OR = 1.830), cavitation (OR = 3.146), consolidation (OR = 2.077), tree-in-bud sign (OR = 2.764), and bronchial lesions (OR = 1.213) as independent risk factors for high infectiousness in patients with TB. The ROC curve analysis showed good discriminative ability, with an area under the curve of 0.71 (95% CI, 0.7–0.72).
conclusionsAge ≥ 60, patient delay, cavitation, consolidation, tree-in-bud sign, and bronchial lesions can effectively predict the high infectiousness of patients with TB, aiding in early screening and isolation measures to reduce the risk of TB transmission within hospitals.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.