Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 26, 2025˜The œItalian Journal of Pediatrics/Italian journal of pediatricsOpen Access

A clinical prediction model for rapidly differentiating pulmonary tuberculosis from community acquired pneumonia in children

View Full Paper
Ask AI
Bookmark
Share

Authors

CHChunjiao HanYFYulian FangLDLili Dong

Discussion

Loading...

Member takes

Overview

Retrospective analysis constructs a prediction model for pulmonary tuberculosis in children, indicating diagnostic viability.

Key Points

  • The nomogram developed demonstrated a good diagnostic performance, achieving an AUC of 0.810 in the modeling group.
  • Independent risk factors for pulmonary tuberculosis were identified, including disease history and weight loss.
  • The clinical prediction model's efficacy was validated with an AUC of 0.864 in the validation group.
  • Good calibration and practical application were established, supporting the model's clinical utility.

Cite This Study

Han et al. (2025) studied this question.

synapsesocial.com/papers/68d68f4ef2499b552fa25b52https://doi.org/10.1186/s13052-025-02118-0
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Predicting treatment outcomes in drug-sensitive pulmonary tuberculosis patients in rural eastern China2025
  2. 2A Clinical Prediction Model for Atypical Tuberculosis Manifestations Among Older Adults2025
  3. 3Establishment and validation of a predictive model for severe pneumonia in children2025
  4. 4Pertussis risk assessment in children: a retrospective study of blood parameters from two medical centers2025
  5. 5Development and validation of a risk prediction model for pulmonary tuberculosis in presumptive tuberculosis patients in Tigray, northern Ethiopia2025