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29 results on '"Moisan F"'

4. [Identification of neurodegenerative diseases in administrative databases in France: A systematic review of the literature]

Author

Gallini, A., Moisan, F., Maura, G., Carcaillon-Bentata, L., Leray, Emmanuelle, Haesebaert, J., Bruandet, A., Moutengou, E., Luciano, L., Weill, A., Marin, Benoît, Gardette, V., Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, CHU Toulouse [Toulouse], Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP), École des Hautes Études en Santé Publique [EHESP] (EHESP), Health Service and Performance Research (HESPER), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Neuroépidémiologie Tropicale (NET), Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), and Université de Limoges (UNILIM)-Université de Limoges (UNILIM)

Subjects
Administrative database, Algorithmes, Multiple Sclerosis, algorithm, Databases, Factual, National Health Programs, Parkinson's disease, Sclérose latérale amyotrophique, Maladies neurodégénératives, Information Storage and Retrieval, Neurodegenerative Diseases, Alzheimer's disease, [SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences, Amyotrophic lateral sclerosis, Bases de données médicoadministratives, Sclérose en plaques, Neurodegenerative disorders, Alzheimer, Humans, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Parkinson, France, Algorithms
Abstract

National audience; Background - Given the health, social and economic burden of neurodegenerative diseases (ND), the development of epidemiologic studies is required. Administrative databases, such as the French national health insurance database (SNIIRAM) could represent an opportunity for researchers. ND could be presumed from drug reimbursement data, hospital stays or registration of a chronic condition. The aim of this study was to describe, in French administrative databases, algorithms used to identify Alzheimer's disease and associated disorders (ADAD), Parkinson's disease and associated disorders (PDAD), multiple sclerosis (MS), and amyotrophic lateral sclerosis (ALS). Methods - A systematic literature review was performed in Medline and gray literature through December 31th, 2015. French studies focusing on ADAD, PDAD, MS or ALS as a primary health outcome, conducted among one of the SNIIRAM data sources (outpatient reimbursements, chronic condition registration, hospital discharge) were included. Results - Thirty-four studies were included (ADAD, n=18, PDAD, n=9, MS, n=4, ALS, n=3), leading to 36 algorithms. For each studied ND, there was an important variability in the algorithms, concerning (i) the type of criteria used (administrative database versus multi-source systems); (ii) the number of criteria used; (iii) the definition used for each criteria. The extent and level of drug exposure highly varied. Identification through hospitalizations showed variations in terms of type of stay (short stay, long-term stay, psychiatric ward…), extent of diagnosis codes used, diagnosis type (principal, related, associated diagnosis) and period used. A validation study was conducted for 2 out of 36 algorithms (PDAD), and criteria completeness was estimated for 3 algorithms (MS, ALS). Conclusion - Despite the increase in ND identification among French administrative databases, few algorithms have been validated. Validation studies should be encouraged.

Published
2016

7. Isospin effects and hot nuclei

Author

Gagnon-Moisan, F., Institut de Physique Nucléaire d'Orsay (IPNO), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Paris Sud - Paris XI, Université Laval, Marie-France Rivet, René Roy(rivet@ipno.in2p3.fr), and INDRA

Subjects
INDRA, Multifragmentation, [PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th], Collisions Centrales, Distillation isotopique, Transition de phase, Quasi-Fusion, Spinodale
Abstract

The rapid decomposition (t

Published
2010

8. Effets d'isospin et noyaux chauds

Author

Gagnon-Moisan, F., Institut de Physique Nucléaire d'Orsay (IPNO), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Paris Sud - Paris XI, Université Laval, Marie-France Rivet, René Roy(rivet@ipno.in2p3.fr), and INDRA

Subjects
INDRA, Multifragmentation, [PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th], Collisions Centrales, Distillation isotopique, Transition de phase, Quasi-Fusion, Spinodale
Abstract

The rapid decomposition (t

Published
2010

20. [Parkinson's disease: Is there a strong environmental contribution?].

Author

Elbaz A and Moisan F

Subjects
Environment, Humans, Occupational Exposure adverse effects, Parkinson Disease epidemiology, Pesticides adverse effects, Risk Factors, Environmental Exposure adverse effects, Parkinson Disease etiology
Abstract

Parkinson's disease (PD) is the most common cause of the parkinsonian syndromes and the most frequent neurodegenerative disease after Alzheimer's disease. Only a minority of PD cases is due to a single factor, in particular a genetic mutation. In the large majority of cases, it is considered that PD is a complex or multifactorial disease that results from the effect of multiple risk or protective factors, either genetic or environmental, and, possibly, from their interaction. Epidemiological studies, through a variety of approaches, have brought important evidence in favour of the contribution of environmental factors to the etiology of PD. In this review, we will present current evidence by focusing on specific illustrative examples., (Copyright © 2010 Elsevier Masson SAS. All rights reserved.)

Published
2010
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21. ACTH and antibiotics in pulmonary tuberculosis.

Author

DEMEULES R, RICHARD P, DORVAL CH, DION R, MONTMINY L, MOISAN F, and COTE A

Subjects
Niacin, Nicotinic Acids therapeutic use, Streptomycin therapeutic use, Tuberculosis, Tuberculosis, Pulmonary therapy
Published
1956

26. [Tuberculosis of the breast].

Author

DESMEULES R, GIROUX M, MOISAN F, LOU W, and CHENARD J

Subjects
Humans, Breast, Breast Diseases, Medical Records, Tuberculosis
Published
1962

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