Leveraging patient experience data to guide medicines development, regulation, access decisions and clinical care in the EU

Autor: Diogo Almeida, Denise Umuhire, Rosa Gonzalez-Quevedo, Ana António, Juan Garcia Burgos, Patrice Verpillat, Nathalie Bere, Bruno Sepodes, Carla Torre

Publikováno v: Frontiers in Medicine, Vol 11 (2024)

Patient experience data (PED), provided by patients/their carers without interpretation by clinicians, directly capture what matters more to patients on their medical condition, treatment and impact of healthcare. PED can be collected through differe

Externí odkaz: https://doaj.org/article/79a1128a48854af0babdf4fed9fba608

High‐dose corticosteroid use and risk of hospitalization for infection in patients treated with immune checkpoint inhibitors––A nationwide register‐based cohort study

Autor: Signe Sørup, Bianka Darvalics, Leo Russo, Dina Oksen, Francois‐Xavier Lamy, Patrice Verpillat, Khalil AA, Sørensen HT, Deirdre Cronin‐Fenton

Publikováno v: Cancer Medicine, Vol 10, Iss 14, Pp 4957-4963 (2021)

Abstract High‐dose corticosteroids have been associated with increased risk of serious infection in patients with metastatic melanoma treated with immune checkpoint inhibitors targeting cytotoxic T‐lymphocyte antigen 4. This potential association

Externí odkaz: https://doaj.org/article/2793fa0761134bcfb27d6407ca07048f

A real-world study on characteristics, treatments and outcomes in US patients with advanced stage ovarian cancer

Autor: Daniel C. Beachler, Francois-Xavier Lamy, Leo Russo, Devon H. Taylor, Jade Dinh, Ruihua Yin, Aziza Jamal-Allial, Samuel Dychter, Stephan Lanes, Patrice Verpillat

Publikováno v: Journal of Ovarian Research, Vol 13, Iss 1, Pp 1-13 (2020)

Abstract Background Detailed epidemiologic descriptions of large populations of advanced stage ovarian cancer patients have been lacking to date. This study aimed to describe the patient characteristics, treatment patterns, survival, and incidence ra

Externí odkaz: https://doaj.org/article/907019ac890a4522a8114737b0fbef6c

Creating an index to measure health state of depressed patients in automated healthcare databases: the methodology

Autor: Clément François, Adrian Tanasescu, François-Xavier Lamy, Nicolas Despiegel, Bruno Falissard, Ylana Chalem, Christophe Lançon, Pierre-Michel Llorca, Delphine Saragoussi, Patrice Verpillat, Alan G. Wade, Djamel A. Zighed

Publikováno v: Journal of Market Access & Health Policy, Vol 5, Iss 1 (2017)

Background and objective: Automated healthcare databases (AHDB) are an important data source for real life drug and healthcare use. In the filed of depression, lack of detailed clinical data requires the use of binary proxies with important limitatio

Externí odkaz: https://doaj.org/article/83e4adea5c8d441a82c40199e6a2e9a3

Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital

Autor: Signe Sørup, Bianka Darvalics, Jakob Schöllhammer Knudsen, Anne Staub Rasmussen, Cathrine Fonnesbech Hjorth, Søren Viborg Vestergaard, Azza Ahmed Khalil, Leo Russo, Dina Oksen, Emmanuelle Boutmy, Patrice Verpillat, Mikael Rørth, Deirdre Cronin-Fenton

Publikováno v: Sørup, S, Darvalics, B, Knudsen, J S, Rasmussen, A S, Hjorth, C F, Vestergaard, S V, Khalil, A A, Russo, L, Oksen, D, Boutmy, E, Verpillat, P, Rørth, M & Cronin-Fenton, D 2022, ' Identifying Valid Algorithms for Number of Lines of Anti-Neoplastic Therapy in the Danish National Patient Registry Among Patients with Advanced Ovarian, Gastric, Renal Cell, Urothelial, and Non-Small Cell Lung Cancer Attending a Danish University Hospital ', Clinical Epidemiology, vol. 14, pp. 159-171 . https://doi.org/10.2147/CLEP.S342238

Signe Sørup,1 Bianka Darvalics,1 Jakob Schöllhammer Knudsen,1 Anne Staub Rasmussen,1 Cathrine Fonnesbech Hjorth,1 Søren Viborg Vestergaard,1 Azza Ahmed Khalil,2 Leo Russo,3 Dina Oksen,4 Emmanuelle Boutmy,4 Patrice Verpillat,4 Mikael Rørth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2495c3a546efbbe08c8b68521023d249
https://pure.au.dk/portal/da/publications/identifying-valid-algorithms-for-number-of-lines-of-antineoplastic-therapy-in-the-danish-national-patient-registry-among-patients-with-advanced-ovarian-gastric-renal-cell-urothelial-and-nonsmall-cell-lung-cancer-attending-a-danish-university-hospital(b7bb3b2a-d1cf-4d06-8d9d-116a6c1c6334).html