Overall survival of patients with metastatic breast cancer in Sweden: a nationwide studyAntonis Valachis, Henrik Lindman, Jonatan Freilich et al.|British Journal of Cancer|2022Cited by 52
Use of classifiers to optimise the identification and characterisation of metastatic breast cancer in a nationwide administrative registryAntonios Valachis, Henrik Lindman, Máté Szilcz et al.|Acta Oncologica|2021Cited by 21
Abstract P1-16-10: Treatment patterns and outcomes of different subtypes of metastatic breast cancer patients in a Swedish real world setting with a focus on HER2-/HR+ subtypeHenrik Lindman, Barbro Holm, Máté Szilcz et al.|Cancer Research|2019Cited by 2
Abstract P2-08-03: Machine learning to identify and characterize metastatic breast cancer patients in Sweden: A population-based study. CLEE011ASE01Henrik Lindman, Barbro Holm, P. Carlqvist et al.|Cancer Research|2020Cited by 0
MSR128 Swedish Nationwide Register Data as a Low-Cost Resource to Detect Drug-Repurposing Signals: A Study on De Novo Metastatic Breast Cancer PatientsG. Isheden, Simona Vertuani, J Dalén et al.|Value in Health|2022Cited by 0