Personalised risk-prediction tools for cryptococcal meningitis mortality to guide treatment stratification in sub-Saharan Africa: a prognostic modelling study based on pooled analysis of two randomised controlled trials
Titel:
Personalised risk-prediction tools for cryptococcal meningitis mortality to guide treatment stratification in sub-Saharan Africa: a prognostic modelling study based on pooled analysis of two randomised controlled trials
Auteur:
Samuels, Thomas H A Molloy, Sile F Lawrence, David S Loyse, Angela Kanyama, Cecilia Heyderman, Robert S Lai, Wai Shing Mfinanga, Sayoki Lesikari, Sokoine Chanda, Duncan Kouanfack, Charles Temfack, Elvis Lortholary, Olivier Hosseinipour, Mina C Chan, Adrienne K Meya, David B Boulware, David R Mwandumba, Henry C Meintjes, Graeme Muzoora, Conrad Mosepele, Mosepele Ndhlovu, Chiratidzo E Youssouf, Nabila Harrison, Thomas S Jarvis, Joseph N Gupta, Rishi K
Verschenen in:
The Lancet global health
Paginering:
Jaargang 13 () nr. 5 pagina's e920-e930
Jaar:
2025
Inhoud:
Uitgever:
The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license