175 results on '"Leray, E."'
Search Results
2. Recommandations de la Société francophone de la sclérose en plaques « Vaccinations et sclérose en plaques » : mise à jour 2024
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Lebrun-Frenay, C., Carra-Dallière, C., Louapre, C., Papeix, C., Pourcher, V., Moisset, X., Le Page, E., Leray, E., Cohen, M., and Vukusic, S.
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- 2024
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3. Prevalence of multiple sclerosis in France in 2021: Data from the French health insurance database
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Pierret, C., Mainguy, M., and Leray, E.
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- 2024
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4. Sclerosi multipla: epidemiologia
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Leray, E.
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- 2023
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5. Ten-year follow-up after mitoxantrone induction for early highly active relapsing-remitting multiple sclerosis: An observational study of 100 consecutive patients
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Lefort, M., Le Corre, G., Le Page, E., Rizzato, C., Le Port, D., Michel, L., Kerbrat, A., Leray, E., and Edan, G.
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- 2022
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6. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis
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Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., and Leray, E.
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- 2022
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7. P26 - Risque de poussée après vaccination contre le COVID-19 chez les patients atteints de sclérose en plaques en France utilisant un design « self-controlled case series »
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Mulliez, A., primary, Moisset, X., additional, Chenaf, C., additional, Taithe, F., additional, Vukusic, S., additional, and Leray, E., additional
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- 2024
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8. Disease-modifying therapy usage in patients with multiple sclerosis in France: A 6-year population-based study
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Leblanc, S., Roux, J., Tillaut, H., Le Page, E., and Leray, E.
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- 2021
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9. Urinary tract infections and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society
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Donzé, C., Papeix, C., Lebrun-Frénay, C., Collongues, N., de Seze, M., Dinh, A., Even, A., Scheiber-Nogueira, C., Bensa, C., Bourre, B., Carra-Dallière, C., Ciron, J., Cohen, M., Guennoc, A.M., Louapre, C., Lebreton, F., Michel, L., Maillart, E., Audoin, B., Ayrignac, X., Bernady, P., Brochet, B., Clavelou, P., Colamarino, R., Declemy, A., de Seze, J., Derache, N., Faucheux, J.-M., Heinzlef, O., Labauge, P., Laplaud, D., Lepage, E., Leray, E., Magy, L., Mathey, G., Mekies, C., Mondain, V., Planque, E., Pelletier, J., Pittion, S., Stankhof, B., Tournaire, P., Thouvenot, E., Vukusic, S., Wiertlevski, S., Zephir, H., Alchaar, H., Androdias, G., Benazet, M., Bensmail, D., Biotti, D., Blanchard-Dauphin, A., Bonnan, M., Boutière, C., Branger, P., Bresch, S., Bru, J.-P., Camdessanché, J.-P., Castel Canal, E., Coustans, M., Casez, O., Castan, B., Creange, A., Creisson, E., De Broucker, T., Depaz, R., Douay, X., Dulau, C., Durand-Dubief, F., Fagniez, O., Faucher, M., Floch, A., Fournier, M., Fromont, A., Gallien, P., Gamé, X., Gault, D., Gayou, A., Giroux, M., Gout, O., Grimaud, J., Hautecoeur, P., Kerbrat, A., Kremer, L., Kwiatkowski, A., Labeyrie, C., Lachaud, S., Lanctin-Garcia, C., Lanotte, L., Manchon, E., Maurousset, A., Milor, A.-M., Moisset, X., Mont-Cuquet, A., Moreau, T., Ouallet, J.-C., Patry, I., Peaureaux, D., Pouget, M.-C., Pourcher Martinez, V., Radot, C., Ruet, A., Saint-Val, C., Salmon, A., Taithe, F., Tatevin, P., Vaillant, M., Stahl, J.-P., Vuoto, F., Zaenker, C., and Lebrun-Frenay, C.
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- 2020
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10. Immunization and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society
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Abadie, V., Achour, C., Ader, F., Alchaar, H., Alkhedr, A., Andreux, F., Androdias, G., Arjmand, R., Audoin, B., Audry, D., Aufauvre, D., Autreaux, C., Ayrignac, X., Bailbe, M., Benazet, M., Bensa, C., Bensmail, D., Berger, E., Bernady, P., Bertagna, Y., Biotti, D., Blanchard-Dauphin, A., Bonenfant, J., Bonnan, M., Bonnemain, B., Borgel, F., Botelho-Nevers, E., Boucly, S., Bourre, B., Boutière, C., Branger, P., Brassat, D., Bresch, S., Breuil, V., Brochet, B., Brugeilles, H., Bugnon, P., Cabre, P., Camdessanché, J.-P., Carra-Dalière, C., Casez, O., Chamouard, J.-M., Chassande, B., Chataignier, P., Chbicheb, M., Chenet, A., Ciron, J., Clavelou, P., Cohen, M., Colamarino, R., Collongues, N., Coman, I., Corail, P.-R., Courtois, S., Coustans, M., Creange, A., Creisson, E., Daluzeau, N., Davenas, C., De Seze, J., Debouverie, M., Depaz, R., Derache, N., Divio, L., Douay, X., Dulau, C., Durand-Dubief, F., Edan, G., Elias, Z., Fagniez, O., Faucher, M., Faucheux, J.-M., Fournier, M., Gagneux-Brunon, A., Gaida, P., Galli, P., Gallien, P., Gaudelus, J., Gault, D., Gayou, A., Genevray, M., Gentil, A., Gere, J., Gignoux, L., Giroux, M., Givron, P., Gout, O., Grimaud, J., Guennoc, A.-M., Hadhoum, N., Hautecoeur, P., Heinzlef, O., Jaeger, M., Jeannin, S., Kremer, L., Kwiatkowski, A., Labauge, P., Labeyrie, C., Lachaud, S., Laffont, I., Lanctin-Garcia, C., Lannoy, J., Lanotte, L., Laplaud, D., Latombe, D., Lauxerois, M., Le Page, E., Lebrun-Frenay, C., Lejeune, P., Lejoyeux, P., Lemonnier, B., Leray, E., Loche, C.-M., Louapre, C., Lubetzki, C., Maarouf, A., Mada, B., Magy, L., Maillart, E., Manchon, E., Marignier, R., Marque, P., Mathey, G., Maurousset, A., Mekies, C., Merienne, M., Michel, L., Milor, A.-M., Moisset, X., Montcuquet, A., Moreau, T., Morel, N., Moussa, M., Naudillon, J.-P., Normand, M., Olive, P., Ouallet, J.-C., Outteryck, O., Pacault, C., Papeix, C., Patry, I., Peaureaux, D., Pelletier, J., Pichon, B., Pittion, S., Planque, E., Pouget, M.-C., Pourcher, V., Radot, C., Robert, I., Rocher, F., Ruet, A., Saint-Val, C., Salle, J.-Y., Salmon, A., Sartori, E., Schaeffer, S., Stankhof, B., Taithe, F., Thouvenot, E., Tizon, C., Tourbah, A., Tourniaire, P., Vaillant, M., Vermersch, P., Vidil, S., Wahab, A., Warter, M.-H., Wiertlewski, S., Wiplosz, B., Wittwer, B., Zaenker, C., Zephir, H., Lebrun, C., and Vukusic, S.
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- 2019
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11. Real-world evaluation of mortality in patients with heart failure treated with Sacubitril-Valsartan in France
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Logeart, D., primary, Cohen, A., additional, Hanon, O., additional, Jourdain, P., additional, De Pouvourville, G., additional, Dheyriat, L., additional, Hugon, G., additional, and Leray, E., additional
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- 2024
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12. Dépistage du cancer du sein chez les personnes atteintes de la sclérose en plaques
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Pierret, C., Philippe, L., and Leray, E.
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- 2024
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13. Le risque de cancer dans la sclérose en plaques : une étude de cohorte nationale à partir du Système national des données de santé (SNDS), 2012-2021
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Pierret, C., Mulliez, A., Le Bihan-Benjamin, C., Moisset, X., Bousquet, P-J., and Leray, E.
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- 2024
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14. Air pollution, a rising environmental risk factor for cognition, neuroinflammation and neurodegeneration: The clinical impact on children and beyond
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Calderón-Garcidueñas, L., Leray, E., Heydarpour, P., Torres-Jardón, R., and Reis, J.
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- 2016
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15. Epidemiology of multiple sclerosis
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Leray, E., Moreau, T., Fromont, A., and Edan, G.
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- 2016
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16. Historique de la sclérose en plaques
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Defer, Gilles, primary, Debouverie, Marc, additional, Bardou, I., additional, Benamar, M., additional, Bernard-Valnet, R., additional, Branger, P., additional, Brassat, D., additional, Benallègue, N., additional, Calocer, F., additional, Damotte, V., additional, Dejardin, O., additional, Dejean, A., additional, Derache, N., additional, Docagne, F., additional, Donzé, C., additional, Dubessy, A.-L., additional, Fontaine, B., additional, Fournié, G., additional, Fromont, A., additional, Garcia, A., additional, Hautecœur, P., additional, Lanotte, L., additional, Laplaud, D., additional, Le Mauff, B., additional, Lebas, H., additional, Leray, E., additional, Mathey, G., additional, Merkler, D., additional, Michel, L., additional, Michieletto, M., additional, Morille, J., additional, Nicol, B., additional, Pierrot-Deseilligny, C., additional, Pittion-Vouyovitch, S., additional, Rebeix, I., additional, Saoudi, A., additional, Seilhean, D., additional, Stankoff, B., additional, Toutirais, O., additional, Vivien, D., additional, and Vukusic, S., additional
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- 2019
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17. Immunologie de la sclérose en plaques
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Defer, Gilles, primary, Debouverie, Marc, additional, Bardou, I., additional, Benamar, M., additional, Bernard-Valnet, R., additional, Branger, P., additional, Brassat, D., additional, Benallègue, N., additional, Calocer, F., additional, Damotte, V., additional, Dejardin, O., additional, Dejean, A., additional, Derache, N., additional, Docagne, F., additional, Donzé, C., additional, Dubessy, A.-L., additional, Fontaine, B., additional, Fournié, G., additional, Fromont, A., additional, Garcia, A., additional, Hautecœur, P., additional, Lanotte, L., additional, Laplaud, D., additional, Le Mauff, B., additional, Lebas, H., additional, Leray, E., additional, Mathey, G., additional, Merkler, D., additional, Michel, L., additional, Michieletto, M., additional, Morille, J., additional, Nicol, B., additional, Pierrot-Deseilligny, C., additional, Pittion-Vouyovitch, S., additional, Rebeix, I., additional, Saoudi, A., additional, Seilhean, D., additional, Stankoff, B., additional, Toutirais, O., additional, Vivien, D., additional, and Vukusic, S., additional
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- 2019
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18. Épidémiologie, environnement et génétique dans la sclérose en plaques
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Defer, Gilles, primary, Debouverie, Marc, additional, Bardou, I., additional, Benamar, M., additional, Bernard-Valnet, R., additional, Branger, P., additional, Brassat, D., additional, Benallègue, N., additional, Calocer, F., additional, Damotte, V., additional, Dejardin, O., additional, Dejean, A., additional, Derache, N., additional, Docagne, F., additional, Donzé, C., additional, Dubessy, A.-L., additional, Fontaine, B., additional, Fournié, G., additional, Fromont, A., additional, Garcia, A., additional, Hautecœur, P., additional, Lanotte, L., additional, Laplaud, D., additional, Le Mauff, B., additional, Lebas, H., additional, Leray, E., additional, Mathey, G., additional, Merkler, D., additional, Michel, L., additional, Michieletto, M., additional, Morille, J., additional, Nicol, B., additional, Pierrot-Deseilligny, C., additional, Pittion-Vouyovitch, S., additional, Rebeix, I., additional, Saoudi, A., additional, Seilhean, D., additional, Stankoff, B., additional, Toutirais, O., additional, Vivien, D., additional, and Vukusic, S., additional
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- 2019
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19. Histoire naturelle de la sclérose en plaques
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Defer, Gilles, primary, Debouverie, Marc, additional, Bardou, I., additional, Benamar, M., additional, Bernard-Valnet, R., additional, Branger, P., additional, Brassat, D., additional, Benallègue, N., additional, Calocer, F., additional, Damotte, V., additional, Dejardin, O., additional, Dejean, A., additional, Derache, N., additional, Docagne, F., additional, Donzé, C., additional, Dubessy, A.-L., additional, Fontaine, B., additional, Fournié, G., additional, Fromont, A., additional, Garcia, A., additional, Hautecœur, P., additional, Lanotte, L., additional, Laplaud, D., additional, Le Mauff, B., additional, Lebas, H., additional, Leray, E., additional, Mathey, G., additional, Merkler, D., additional, Michel, L., additional, Michieletto, M., additional, Morille, J., additional, Nicol, B., additional, Pierrot-Deseilligny, C., additional, Pittion-Vouyovitch, S., additional, Rebeix, I., additional, Saoudi, A., additional, Seilhean, D., additional, Stankoff, B., additional, Toutirais, O., additional, Vivien, D., additional, and Vukusic, S., additional
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- 2019
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20. Ten-year prognosis in multiple sclerosis: a better outcome in relapsing−remitting patients but not in primary progressive patients
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Kerbrat, A., Hamonic, S., Leray, E., Tron, I., Edan, G., and Yaouanq, J.
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- 2015
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21. Disease Reactivation After Cessation of Disease-Modifying Therapy in Patients With Relapsing-Remitting Multiple Sclerosis.
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Roos I., Malpas C., Leray E., Casey R., Horakova D., Havrdova E.K., Debouverie M., Patti F., De Seze J., Izquierdo G., Eichau S., Edan G., Prat A., Girard M., Ozakbas S., Grammond P., Zephir H., Ciron J., Maillart E., Moreau T., Amato M.P., Labauge P., Alroughani R., Buzzard K., Skibina O., Terzi M., Laplaud D.A., Berger E., Grand'Maison F., Lebrun-Frenay C., Cartechini E., Boz C., Lechner-Scott J., Clavelou P., Stankoff B., Prevost J., Kappos L., Pelletier J., Shaygannejad V., Yamout B.I., Khoury S.J., Gerlach O., Spitaleri D.L.A., Van Pesch V., Gout O., Turkoglu R., Heinzlef O., Thouvenot E., McCombe P.A., Soysal A., Bourre B., Slee M., Castillo-Trivino T., Bakchine S., Ampapa R., Butler E.G., Wahab A., Macdonell R.A., Aguera-Morales E., Cabre P., Ben N.H., Van der Walt A., Laureys G., Van Hijfte L., Ramo-Tello C.M., Maubeuge N., Hodgkinson S., Sanchez-Menoyo J.L., Barnett M.H., Labeyrie C., Vucic S., Sidhom Y., Gouider R., Csepany T., Sotoca J., de Gans K., Al-Asmi A., Fragoso Y.D., Vukusic S., Butzkueven H., Kalincik T., Roos I., Malpas C., Leray E., Casey R., Horakova D., Havrdova E.K., Debouverie M., Patti F., De Seze J., Izquierdo G., Eichau S., Edan G., Prat A., Girard M., Ozakbas S., Grammond P., Zephir H., Ciron J., Maillart E., Moreau T., Amato M.P., Labauge P., Alroughani R., Buzzard K., Skibina O., Terzi M., Laplaud D.A., Berger E., Grand'Maison F., Lebrun-Frenay C., Cartechini E., Boz C., Lechner-Scott J., Clavelou P., Stankoff B., Prevost J., Kappos L., Pelletier J., Shaygannejad V., Yamout B.I., Khoury S.J., Gerlach O., Spitaleri D.L.A., Van Pesch V., Gout O., Turkoglu R., Heinzlef O., Thouvenot E., McCombe P.A., Soysal A., Bourre B., Slee M., Castillo-Trivino T., Bakchine S., Ampapa R., Butler E.G., Wahab A., Macdonell R.A., Aguera-Morales E., Cabre P., Ben N.H., Van der Walt A., Laureys G., Van Hijfte L., Ramo-Tello C.M., Maubeuge N., Hodgkinson S., Sanchez-Menoyo J.L., Barnett M.H., Labeyrie C., Vucic S., Sidhom Y., Gouider R., Csepany T., Sotoca J., de Gans K., Al-Asmi A., Fragoso Y.D., Vukusic S., Butzkueven H., and Kalincik T.
- Abstract
OBJECTIVES: To evaluate the rate of return of disease activity after cessation of multiple sclerosis (MS) disease-modifying therapy. METHOD(S): This was a retrospective cohort study from two large observational MS registries: MSBase and OFSEP. Patients with relapsing-remitting MS who had ceased a disease-modifying therapy and were followed up for the subsequent 12-months were included in the analysis. The primary study outcome was annualised relapse rate in the 12 months after disease-modifying therapy discontinuation stratified by patients who did, and did not, commence a subsequent therapy. The secondary endpoint was the predictors of first relapse and disability accumulation after treatment discontinuation. RESULT(S): 14,213 patients, with 18,029 eligible treatment discontinuation epochs, were identified for seven therapies. Annualised rates of relapse (ARR) started to increase 2-months after natalizumab cessation (month 2-4 ARR, 95% confidence interval): 0.47, 0.43-0.51). Commencement of a subsequent therapy within 2-4 months reduced the magnitude of disease reactivation (mean ARR difference: 0.15, 0.08-0.22). After discontinuation of fingolimod, rates of relapse increased overall (month 1-2 ARR: 0.80, 0.70-0.89), and stabilised faster in patients who started a new therapy within 1-2 months (mean ARR difference: 0.14, -0.01-0.29). Magnitude of disease reactivation for other therapies was low, but reduced further by commencement of another treatment 1-10 months after treatment discontinuation. Predictors of relapse were higher relapse rate in the year before cessation, female sex, younger age and higher EDSS. Commencement of a subsequent therapy reduced both the risk of relapse (HR 0.76, 95%CI 0.72-0.81) and disability accumulation (0.73, 0.65-0.80). CONCLUSION(S): The rate of disease reactivation after treatment cessation differs among MS treatments, with the peaks of relapse activity ranging from 1 to 10 months in untreated cohorts that discontinued different t
- Published
- 2022
22. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis
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Lefort, M, Sharmin, S, Andersen, JB, Vukusic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, De Seze, J, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun-Frenay, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, JP, Maurousset, A, Ben Nasr, H, Hankiewicz, K, Pottier, C, Maubeuge, N, Nifle, C, Laplaud, DA, Horakova, D, Dimitri-Boulos, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Grand'Maison, F, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Maimone, D, Skibina, O, Buzzard, K, Van der Walt, A, Karabudak, R, Van Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Koch-Henriksen, N, Sellebjerg, F, Soerensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Butzkueven, H, Magyari, M, Kalincik, T, Leray, E, Lefort, M, Sharmin, S, Andersen, JB, Vukusic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, De Seze, J, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun-Frenay, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, JP, Maurousset, A, Ben Nasr, H, Hankiewicz, K, Pottier, C, Maubeuge, N, Nifle, C, Laplaud, DA, Horakova, D, Dimitri-Boulos, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Grand'Maison, F, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Maimone, D, Skibina, O, Buzzard, K, Van der Walt, A, Karabudak, R, Van Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Koch-Henriksen, N, Sellebjerg, F, Soerensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Butzkueven, H, Magyari, M, Kalincik, T, and Leray, E
- Abstract
BACKGROUND: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing-remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. METHODS: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. RESULTS: Overall, 5,148 relapsing-remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. CONCLUSIONS: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is ful
- Published
- 2022
23. Disease Reactivation After Cessation of Disease-Modifying Therapy in Patients With Relapsing-Remitting Multiple Sclerosis
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Roos, I, Malpas, C, Leray, E, Casey, R, Horakova, D, Havrdova, EK, Debouverie, M, Patti, F, De Seze, J, Izquierdo, G, Eichau, S, Edan, G, Prat, A, Girard, M, Ozakbas, S, Grammond, P, Zephir, H, Ciron, J, Maillart, E, Moreau, T, Amato, MP, Labauge, P, Alroughani, R, Buzzard, K, Skibina, O, Terzi, M, Laplaud, DA, Berger, E, Grand'Maison, F, Lebrun-Frenay, C, Cartechini, E, Boz, C, Lechner-Scott, J, Clavelou, P, Stankoff, B, Prevost, J, Kappos, L, Pelletier, J, Shaygannejad, V, Yamout, B, Khoury, SJ, Gerlach, O, Spitaleri, DLA, Van Pesch, V, Gout, O, Turkoglu, R, Heinzlef, O, Thouvenot, E, McCombe, PA, Soysal, A, Bourre, B, Slee, M, Castillo-Trivino, T, Bakchine, S, Ampapa, R, Butler, EG, Wahab, A, Macdonell, RA, Aguera-Morales, E, Cabre, P, Ben, NH, Van der Walt, A, Laureys, G, Van Hijfte, L, Ramo-Tello, CM, Maubeuge, N, Hodgkinson, S, Sanchez-Menoyo, JL, Barnett, MH, Labeyrie, C, Vucic, S, Sidhom, Y, Gouider, R, Csepany, T, Sotoca, J, de Gans, K, Al-Asmi, A, Fragoso, YD, Vukusic, S, Butzkueven, H, Kalincik, T, Roos, I, Malpas, C, Leray, E, Casey, R, Horakova, D, Havrdova, EK, Debouverie, M, Patti, F, De Seze, J, Izquierdo, G, Eichau, S, Edan, G, Prat, A, Girard, M, Ozakbas, S, Grammond, P, Zephir, H, Ciron, J, Maillart, E, Moreau, T, Amato, MP, Labauge, P, Alroughani, R, Buzzard, K, Skibina, O, Terzi, M, Laplaud, DA, Berger, E, Grand'Maison, F, Lebrun-Frenay, C, Cartechini, E, Boz, C, Lechner-Scott, J, Clavelou, P, Stankoff, B, Prevost, J, Kappos, L, Pelletier, J, Shaygannejad, V, Yamout, B, Khoury, SJ, Gerlach, O, Spitaleri, DLA, Van Pesch, V, Gout, O, Turkoglu, R, Heinzlef, O, Thouvenot, E, McCombe, PA, Soysal, A, Bourre, B, Slee, M, Castillo-Trivino, T, Bakchine, S, Ampapa, R, Butler, EG, Wahab, A, Macdonell, RA, Aguera-Morales, E, Cabre, P, Ben, NH, Van der Walt, A, Laureys, G, Van Hijfte, L, Ramo-Tello, CM, Maubeuge, N, Hodgkinson, S, Sanchez-Menoyo, JL, Barnett, MH, Labeyrie, C, Vucic, S, Sidhom, Y, Gouider, R, Csepany, T, Sotoca, J, de Gans, K, Al-Asmi, A, Fragoso, YD, Vukusic, S, Butzkueven, H, and Kalincik, T
- Abstract
BACKGROUND AND OBJECTIVES: To evaluate the rate of return of disease activity after cessation of multiple sclerosis (MS) disease-modifying therapy. METHODS: This was a retrospective cohort study from 2 large observational MS registries: MSBase and OFSEP. Patients with relapsing-remitting MS who had ceased a disease-modifying therapy and were followed up for the subsequent 12 months were included in the analysis. The primary study outcome was annualized relapse rate in the 12 months after disease-modifying therapy discontinuation stratified by patients who did, and did not, commence a subsequent therapy. The secondary endpoint was the predictors of first relapse and disability accumulation after treatment discontinuation. RESULTS: A total of 14,213 patients, with 18,029 eligible treatment discontinuation epochs, were identified for 7 therapies. Annualized rates of relapse (ARRs) started to increase 2 months after natalizumab cessation (month 2-4 ARR 0.47, 95% CI 0.43-0.51). Commencement of a subsequent therapy within 2-4 months reduced the magnitude of disease reactivation (mean ARR difference: 0.15, 0.08-0.22). After discontinuation of fingolimod, rates of relapse increased overall (month 1-2 ARR: 0.80, 0.70-0.89) and stabilized faster in patients who started a new therapy within 1-2 months (mean ARR difference: 0.14, -0.01 to 0.29). The magnitude of disease reactivation for other therapies was low but reduced further by commencement of another treatment 1-10 months after treatment discontinuation. Predictors of relapse were a higher relapse rate in the year before cessation, female sex, younger age, and higher EDSS score. Commencement of a subsequent therapy reduced both the risk of relapse (HR 0.76, 95% CI 0.72-0.81) and disability accumulation (0.73, 0.65-0.80). DISCUSSION: The rate of disease reactivation after treatment cessation differs among MS treatments, with the peaks of relapse activity ranging from 1 to 10 months in untreated cohorts that discontinued di
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- 2022
24. Impact of methodological choices in comparative effectiveness studies:application in natalizumab versus fingolimod comparison among patients with multiple sclerosis
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Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., Leray, E., Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., and Leray, E.
- Abstract
Background: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing–remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. Methods: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. Results: Overall, 5,148 relapsing–remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. Conclusions: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is
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- 2022
25. Influence of socio-economic status on excess mortality of multiple sclerosis
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Wilson, S., Calocer, F., Rollot, F., Fauvernier, M., Remontet, L, Tron, L, Leray, E., Dejardin, O., Defer, G., Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers (ANTICIPE), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherches sur l'Action Politique en Europe (ARENES), Université de Rennes (UR)-Institut d'Études Politiques [IEP] - Rennes-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Centre National de la Recherche Scientifique (CNRS), École des Hautes Études en Santé Publique [EHESP] (EHESP), Département Méthodes quantitatives en santé publique (METIS), Recherche sur les services et le management en santé (RSMS), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and ARSEP foundation 'Fondation pour l'aide a la recherche sur la Sclerose en Plaques'
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Multiple sclerosis ,[SDV]Life Sciences [q-bio] - Abstract
International audience; Meeting Abstract P46638th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-SclerosisAmsterdam, NETHERLANDSOCT 26-28, 2022
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- 2022
26. Impact of education level on multiple sclerosis disability progression in France
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Lefort, Mathilde, Dejardin, O., Calocer, F., Defer, G., Leray, E., Jonchère, Laurent, Centre de Recherches sur l'Action Politique en Europe (ARENES), Université de Rennes (UR)-Institut d'Études Politiques [IEP] - Rennes-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Centre National de la Recherche Scientifique (CNRS), École des Hautes Études en Santé Publique [EHESP] (EHESP), Département Méthodes quantitatives en santé publique (METIS), Unité de recherche interdisciplinaire pour la prévention et le traitement des cancers (ANTICIPE), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN)-Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Recherche sur les services et le management en santé (RSMS), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Collectif de recherche handicap, autonomie et société inclusive (CoRHASI), EDMUS Foundation, and ARSEP Foundation
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[SDV] Life Sciences [q-bio] ,[SDV]Life Sciences [q-bio] - Abstract
International audience; Meeting Abstract O15438th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-SclerosisAmsterdam, NETHERLANDSOCT 26-28, 2022
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- 2022
27. Use of pregnancy-related healthcare in women with multiple sclerosis
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Mainguy, M., Le Page, E., Michel, Laure, Leray, E., Jonchère, Laurent, Centre de Recherches sur l'Action Politique en Europe (ARENES), Université de Rennes (UR)-Institut d'Études Politiques [IEP] - Rennes-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Centre National de la Recherche Scientifique (CNRS), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Recherche sur les services et le management en santé (RSMS), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), École des Hautes Études en Santé Publique [EHESP] (EHESP), Département Méthodes quantitatives en santé publique (METIS), Collectif de recherche handicap, autonomie et société inclusive (CoRHASI), and ARSEP Foundation (Aide a la Recherche sur la Sclerose En Plaques)
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[SDV] Life Sciences [q-bio] ,[SDV]Life Sciences [q-bio] - Abstract
International audience; Meeting Abstract P475Meeting 38th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-SclerosisAmsterdam, NETHERLANDSOCT 26-28, 2022
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- 2022
28. High and low efficacy therapy in secondary progressive multiple sclerosis
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Roos, I., Leray, E., Buzzard, K., Skibina, O., Lechner-Scott, J., Malpas, C. B., Butzkueven, H., Vukusic, S, Kalincik, T., University of Melbourne, Recherche en Pharmaco-épidémiologie et Recours aux Soins (REPERES), Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP), École des Hautes Études en Santé Publique [EHESP] (EHESP), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Monash university, The Royal Melbourne Hospital, University of Newcastle [Callaghan, Australia] (UoN), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Hospices Civils de Lyon (HCL)
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[SDV]Life Sciences [q-bio] - Abstract
International audience; Meeting Abstract
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- 2022
29. POSB397 Benefits of Homeopathic Complementary Treatment in Breast Cancer Patients: A Retrospective Cohort Study Based on the French Nationwide Healthcare Database (SNDS)
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Medioni, J, primary, Lopez Marquez, Y, additional, Scimeca, D, additional, Leray, E, additional, Dalichampt, M, additional, and Bennani, M, additional
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- 2022
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30. Register-based incidence of multiple sclerosis in Brittany (north-western France), 2000–2001
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Yaouanq, J., Tron, I., Kerbrat, A., Leray, E., Hamonic, S., Merienne, M., Hinault, P., and Edan, G.
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- 2015
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31. TRANSCOV, a multidisciplinary project to evaluate long distance COVID patients transfers
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Grimaud, O, primary, Girault, A, additional, Laude, L, additional, Sirven, N, additional, Cucharero Atienza, P, additional, Fermanian, C, additional, Elgharabawy, Y, additional, Ramanantsoa, J, additional, Bayat, S, additional, and Leray, E, additional
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- 2021
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32. Identification of Therapeutic Lag in Multiple Sclerosis
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Alroughani, Raed, IULİANO, Gerardo, Hupperts, Raymond, LechnerScott, Jeannette, Spitaleri, Daniele, Van Pesch, Vincent, Soysal, Aysun, Prevost, Julie, AgueraMorales, E, Urtaza, FJO, Türkoğlu, Recai, Sidhom, Youssef, Gouider, Riadh, Van Wijmeersch, Bart, Butzkueven, Helmut, Malpas, Charles, Vukusic, S, Kalincik, Tomas, ÖZAKBAŞ, SERKAN, Horakova, Dana, GI, Ayuso, Duquette, Pierre, ROOS, I, Leray, E, FRASCOLİ, F, Casey, Romain, Havrdova, Eva, Trojano, Maria, Madueno, SE, Patti, Francesco, Onofrj, Marco, Lugaresi, Alessandra, Prat, Alexandre, Girard, Marc, Grammond, Pierre, Sola, Patrizia, Bergamaschi, Roberto, BOZ, CAVİT, Cartechini, E, SA, MJ, TERZİ, MURAT, GrandMaison, Francois, and Granella, Franco
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- 2020
33. The effectiveness of natalizumab vs fingolimod-A comparison of international registry studies
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Andersen, JB, Sharmin, S, Lefort, M, Koch-Henriksen, N, Sellebjerg, F, Sorensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Horakova, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Maison, FG, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Skibina, O, Solaro, C, Karabudak, R, Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, Seze, JD, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, J-P, Marousset, A, Patry, I, Hankiewicz, K, Pottier, C, Maubeuge, N, Labeyrie, C, Nifle, C, Leray, E, Laplaud, DA, Butzkueven, H, Kalincik, T, Vukusic, S, Magyari, M, Andersen, JB, Sharmin, S, Lefort, M, Koch-Henriksen, N, Sellebjerg, F, Sorensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Horakova, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Maison, FG, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Skibina, O, Solaro, C, Karabudak, R, Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, Seze, JD, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, J-P, Marousset, A, Patry, I, Hankiewicz, K, Pottier, C, Maubeuge, N, Labeyrie, C, Nifle, C, Leray, E, Laplaud, DA, Butzkueven, H, Kalincik, T, Vukusic, S, and Magyari, M
- Abstract
BACKGROUND: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening. METHODS: By re-analyzing original published results from MSBase, France, and Denmark using uniform methodologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/exclusion criteria and statistical methods with Inverse Probability Treatment Weighting. RESULTS: The pooled analyses comprised 968 natalizumab- and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod. CONCLUSION: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed.
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- 2021
34. Le parcours professionnel des patients atteints de sclérose en plaques à partir des données de la base nationale Hygie
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Guilleux, A., primary, Regaert, C., additional, Espagnacq, M., additional, Pichetti, S., additional, Sermet, C., additional, and Leray, E., additional
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- 2020
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35. Comparative effectiveness of natalizumab and fingolimod in different subgroups of patients with relapsing-remitting multiple sclerosis
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Sharmin, S., Lefort, M., Andersen, J., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Butzkueven, H., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., Mccombe, P., Slee, M., Lechner-Scott, J., Recai Turkoglu, Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Skibina, O., Solaro, C., Karabudak, R., Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Leray, E., Sorensen, P. S., Sellebjerg, F., Magyari, M., Vukusic, S., and Kalincik, T.
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- 2019
36. Delay from treatment start to full effect of immunotherapies for multiple sclerosis
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Roos, I, Leray, E, Frascoli, F, Casey, R, Brown, WJL, Horakova, D, Havrdova, EK, Trojano, M, Patti, F, Izquierdo, G, Eichau, S, Onofrj, M, Lugaresi, A, Prat, A, Girard, M, Grammond, P, Sola, P, Ferraro, D, Ozakbas, S, Bergamaschi, R, Sá, MJ, Cartechini, E, Boz, C, Granella, F, Hupperts, R, Terzi, M, Lechner-Scott, J, Spitaleri, D, van Pesch, V, Soysal, A, Olascoaga, J, Prevost, J, Aguera-Morales, E, Slee, M, Csepany, T, Turkoglu, R, Sidhom, Y, Gouider, R, van Wijmeersch, B, McCombe, P, Macdonell, R, Coles, A, Malpas, CB, Butzkueven, H, Vukusic, S, Kalincik, T, Duquette, P, Grand'Maison, F, Iuliano, G, Ramo-Tello, C, Solaro, C, Cabrera-Gomez, JA, Rio, ME, Bolaños, RF, Shaygannejad, V, Oreja-Guevara, C, Sanchez-Menoyo, JL, Petersen, T, Altintas, A, Barnett, M, Flechter, S, Fragoso, Y, Amato, MP, Moore, F, Ampapa, R, Verheul, F, Hodgkinson, S, Cristiano, E, Yamout, B, Laureys, G, Dominguez, JA, Zwanikken, C, Deri, N, Dobos, E, Vrech, C, Butler, E, Rozsa, C, Petkovska-Boskova, T, Karabudak, R, Rajda, C, Alkhaboori, J, Saladino, ML, Shaw, Cameron, Shuey, N, Vucic, S, Sempere, AP, Campbell, J, Piroska, I, Taylor, B, van der Walt, A, Kappos, L, Roullet, E, Gray, O, Simo, M, Sirbu, CA, Brochet, B, Cotton, F, de Sèze, J, Dion, A, Douek, P, Roos, I, Leray, E, Frascoli, F, Casey, R, Brown, WJL, Horakova, D, Havrdova, EK, Trojano, M, Patti, F, Izquierdo, G, Eichau, S, Onofrj, M, Lugaresi, A, Prat, A, Girard, M, Grammond, P, Sola, P, Ferraro, D, Ozakbas, S, Bergamaschi, R, Sá, MJ, Cartechini, E, Boz, C, Granella, F, Hupperts, R, Terzi, M, Lechner-Scott, J, Spitaleri, D, van Pesch, V, Soysal, A, Olascoaga, J, Prevost, J, Aguera-Morales, E, Slee, M, Csepany, T, Turkoglu, R, Sidhom, Y, Gouider, R, van Wijmeersch, B, McCombe, P, Macdonell, R, Coles, A, Malpas, CB, Butzkueven, H, Vukusic, S, Kalincik, T, Duquette, P, Grand'Maison, F, Iuliano, G, Ramo-Tello, C, Solaro, C, Cabrera-Gomez, JA, Rio, ME, Bolaños, RF, Shaygannejad, V, Oreja-Guevara, C, Sanchez-Menoyo, JL, Petersen, T, Altintas, A, Barnett, M, Flechter, S, Fragoso, Y, Amato, MP, Moore, F, Ampapa, R, Verheul, F, Hodgkinson, S, Cristiano, E, Yamout, B, Laureys, G, Dominguez, JA, Zwanikken, C, Deri, N, Dobos, E, Vrech, C, Butler, E, Rozsa, C, Petkovska-Boskova, T, Karabudak, R, Rajda, C, Alkhaboori, J, Saladino, ML, Shaw, Cameron, Shuey, N, Vucic, S, Sempere, AP, Campbell, J, Piroska, I, Taylor, B, van der Walt, A, Kappos, L, Roullet, E, Gray, O, Simo, M, Sirbu, CA, Brochet, B, Cotton, F, de Sèze, J, Dion, A, and Douek, P
- Published
- 2020
37. Geographical variations in access to expert centers for multiple sclerosis in France
- Author
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Leray, E, primary, Mamadou, F, primary, Guilleux, A, primary, Roux, J, primary, and Grimaud, O, primary
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- 2019
- Full Text
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38. Use of healthcare services by patients with multiple sclerosis in France over 2010–2015: a nationwide population-based study using health administrative data
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Roux, J., primary, Guilleux, A., additional, Lefort, M., additional, and Leray, E., additional
- Published
- 2019
- Full Text
- View/download PDF
39. Immunization and multiple sclerosis: Recommendations from the French Multiple Sclerosis Society
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Lebrun, C., primary, Vukusic, S., additional, Abadie, V., additional, Achour, C., additional, Ader, F., additional, Alchaar, H., additional, Alkhedr, A., additional, Andreux, F., additional, Androdias, G., additional, Arjmand, R., additional, Audoin, B., additional, Audry, D., additional, Aufauvre, D., additional, Autreaux, C., additional, Ayrignac, X., additional, Bailbe, M., additional, Benazet, M., additional, Bensa, C., additional, Bensmail, D., additional, Berger, E., additional, Bernady, P., additional, Bertagna, Y., additional, Biotti, D., additional, Blanchard-Dauphin, A., additional, Bonenfant, J., additional, Bonnan, M., additional, Bonnemain, B., additional, Borgel, F., additional, Botelho-Nevers, E., additional, Boucly, S., additional, Bourre, B., additional, Boutière, C., additional, Branger, P., additional, Brassat, D., additional, Bresch, S., additional, Breuil, V., additional, Brochet, B., additional, Brugeilles, H., additional, Bugnon, P., additional, Cabre, P., additional, Camdessanché, J.-P., additional, Carra-Dalière, C., additional, Casez, O., additional, Chamouard, J.-M., additional, Chassande, B., additional, Chataignier, P., additional, Chbicheb, M., additional, Chenet, A., additional, Ciron, J., additional, Clavelou, P., additional, Cohen, M., additional, Colamarino, R., additional, Collongues, N., additional, Coman, I., additional, Corail, P.-R., additional, Courtois, S., additional, Coustans, M., additional, Creange, A., additional, Creisson, E., additional, Daluzeau, N., additional, Davenas, C., additional, De Seze, J., additional, Debouverie, M., additional, Depaz, R., additional, Derache, N., additional, Divio, L., additional, Douay, X., additional, Dulau, C., additional, Durand-Dubief, F., additional, Edan, G., additional, Elias, Z., additional, Fagniez, O., additional, Faucher, M., additional, Faucheux, J.-M., additional, Fournier, M., additional, Gagneux-Brunon, A., additional, Gaida, P., additional, Galli, P., additional, Gallien, P., additional, Gaudelus, J., additional, Gault, D., additional, Gayou, A., additional, Genevray, M., additional, Gentil, A., additional, Gere, J., additional, Gignoux, L., additional, Giroux, M., additional, Givron, P., additional, Gout, O., additional, Grimaud, J., additional, Guennoc, A.-M., additional, Hadhoum, N., additional, Hautecoeur, P., additional, Heinzlef, O., additional, Jaeger, M., additional, Jeannin, S., additional, Kremer, L., additional, Kwiatkowski, A., additional, Labauge, P., additional, Labeyrie, C., additional, Lachaud, S., additional, Laffont, I., additional, Lanctin-Garcia, C., additional, Lannoy, J., additional, Lanotte, L., additional, Laplaud, D., additional, Latombe, D., additional, Lauxerois, M., additional, Le Page, E., additional, Lebrun-Frenay, C., additional, Lejeune, P., additional, Lejoyeux, P., additional, Lemonnier, B., additional, Leray, E., additional, Loche, C.-M., additional, Louapre, C., additional, Lubetzki, C., additional, Maarouf, A., additional, Mada, B., additional, Magy, L., additional, Maillart, E., additional, Manchon, E., additional, Marignier, R., additional, Marque, P., additional, Mathey, G., additional, Maurousset, A., additional, Mekies, C., additional, Merienne, M., additional, Michel, L., additional, Milor, A.-M., additional, Moisset, X., additional, Montcuquet, A., additional, Moreau, T., additional, Morel, N., additional, Moussa, M., additional, Naudillon, J.-P., additional, Normand, M., additional, Olive, P., additional, Ouallet, J.-C., additional, Outteryck, O., additional, Pacault, C., additional, Papeix, C., additional, Patry, I., additional, Peaureaux, D., additional, Pelletier, J., additional, Pichon, B., additional, Pittion, S., additional, Planque, E., additional, Pouget, M.-C., additional, Pourcher, V., additional, Radot, C., additional, Robert, I., additional, Rocher, F., additional, Ruet, A., additional, Saint-Val, C., additional, Salle, J.-Y., additional, Salmon, A., additional, Sartori, E., additional, Schaeffer, S., additional, Stankhof, B., additional, Taithe, F., additional, Thouvenot, E., additional, Tizon, C., additional, Tourbah, A., additional, Tourniaire, P., additional, Vaillant, M., additional, Vermersch, P., additional, Vidil, S., additional, Wahab, A., additional, Warter, M.-H., additional, Wiertlewski, S., additional, Wiplosz, B., additional, Wittwer, B., additional, Zaenker, C., additional, and Zephir, H., additional
- Published
- 2019
- Full Text
- View/download PDF
40. 12-2 - Inégalités socio-territoriales et mortalité en excès de patients atteints d'une sclérose en plaques en France : une étude rétrospective-observationnelle
- Author
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Wilson, S., Leray, E., (investigateurs), au nom du Consortium Ofsep, Guittet, L., Defer, G., and Dejardin, O.
- Abstract
Les facteurs de risque de mortalité modifiables sont peu étudiés dans la sclérose en plaques (SEP). La défavorisation socioéconomique et une mauvaise accessibilité aux soins sont deux facteurs de risque avérés dans d'autres pathologies. L'objectif était d'examiner l'influence de la défavorisation socioéconomique ainsi que de l'accessibilité aux soins primaires et neurologiques spécialisés sur la mortalité en excès dans la SEP.
- Published
- 2024
- Full Text
- View/download PDF
41. Multichannel sequence analysis: An innovative method to study patterns of care pathways. Application to multiple sclerosis based on French Health Insurance data
- Author
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Roux, J., primary, Grimaud, O., additional, and Leray, E., additional
- Published
- 2018
- Full Text
- View/download PDF
42. Efficacité comparée du Teriflunomide et du Dimethyl-Fumarate : une étude observationnelle française multicentrique
- Author
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Laplaud, D.-A., primary, Barbin, L., additional, Casey, R., additional, Debouverie, M., additional, Vukusic, S., additional, Labauge, P., additional, Brassat, D., additional, Wiertlewski, S., additional, De Seze, J., additional, Edan, G., additional, Brochet, B., additional, Moreau, T., additional, Berger, E., additional, Clavelou, P., additional, Castelnovo, G., additional, Ciron, J., additional, Pelletier, J., additional, Bourre, B., additional, Lubetzki, C., additional, Al Khedr, A., additional, Vermersch, P., additional, Lebrun-Frenay, C., additional, Defer, G., additional, Tourbah, A., additional, Camdessanche, J.-P., additional, Stankoff, B., additional, Labeyrie, C., additional, Patry, I., additional, Creange, A., additional, Gout, O., additional, Heinzlef, O., additional, Casez, O., additional, Magy, L., additional, Guennoc, A.-M., additional, De Broucker, T., additional, Nifle, C., additional, Dupel-Pottier, C., additional, Leray, E., additional, Rollot, F., additional, and Foucher, Y., additional
- Published
- 2018
- Full Text
- View/download PDF
43. Quelle utilisation des traitements de fond chez des patients ayant une sclérose en plaques rémittente en France sur la période 1990–2017 ? Étude des données de l’Observatoire français de la SEP
- Author
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Leray, E., primary, Roux, J., additional, Rollot, F., additional, Casey, R., additional, de Sèze, J., additional, Laplaud, D., additional, and Vukusic, S., additional
- Published
- 2018
- Full Text
- View/download PDF
44. Étude des parcours de soins des patients ayant une sclérose en plaques en France sur la période 2007–2013 : une analyse des bases médico-administratives utilisant la méthode « Multichannel Sequence Analysis »
- Author
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Roux, J., primary, Grimaud, O., additional, and Leray, E., additional
- Published
- 2018
- Full Text
- View/download PDF
45. Comorbidités mentales et sclérose en plaques : étude française à partir des données de l’Assurance maladie
- Author
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Guilleux, A., primary, Roux, J., additional, and Leray, E., additional
- Published
- 2018
- Full Text
- View/download PDF
46. Gender Inequities in the Multiple Sclerosis Community: A Call for Action
- Author
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Waubant, E, Amezcua, L, Sicotte, N, Hellwig, K, Krupp, L, Weinstock-Guttman, B, Yeh, A, Lucas, RM, Longbrake, EE, Yadav, V, Rensel, M, Mar, S, Hersh, C, Block, V, Zipp, F, Han, MH, Spain, R, Kelland, EE, Charvet, L, Dimitri, D, Papeix, C, Cross, AH, Inglese, M, Amato, MP, Airas, L, Leray, E, Sormani, MP, Van der Walt, A, Vukusic, S, Castillo-Trivino, T, Tenembaum, S, Ciccarelli, O, Bommarito, G, Petracca, M, Celius, EG, Carson, MJ, Hua, LH, Van der Mei, I, Lubetzki, C, Jokubaitis, V, Trojano, M, Voskuhl, R, Tintore, M, Harbo, H, Asgari, N, Piccio, L, Burton, JM, Tremlett, H, Goldman, MD, Michel, L, Zhang, Y, Bove, R, Quandt, JA, Costello, F, Ionete, C, Lebrun-Frenay, C, Pakpoor, J, Bevan, C, Morrow, SA, Waldman, AT, Oh, J, Jacobs, D, Palace, J, Marrie, RA, Tiwari-Woodruff, SK, Metz, LM, Cortese, R, Chitnis, T, Benson, L, Benveniste, ET, Conway, J, Sand, IK, Murphy, JO, Kita, M, Riley, C, Goverman, JM, Langer-Gould, AM, Azevedo, CJ, Morales, IB, Barcellos, LF, Crabtree, E, Plummer, P, Shirani, A, Whartenby, K, Brilot-Turville, F, Kingwell, E, Coyle, P, Mowry, E, Zabad, R, Bielekova, B, Monson, N, Laule, C, Burnett, M, Schreiner, T, Grinspan, J, Dobson, R, Akassoglou, K, Graves, J, Gray, O, Smyth, P, Havrdova, EK, Preiningerova, JL, Banwell, B, Makhani, N, Lucchinetti, C, Arrambide, G, Maillart, E, Macklin, W, Gilmore, W, Waubant, E, Amezcua, L, Sicotte, N, Hellwig, K, Krupp, L, Weinstock-Guttman, B, Yeh, A, Lucas, RM, Longbrake, EE, Yadav, V, Rensel, M, Mar, S, Hersh, C, Block, V, Zipp, F, Han, MH, Spain, R, Kelland, EE, Charvet, L, Dimitri, D, Papeix, C, Cross, AH, Inglese, M, Amato, MP, Airas, L, Leray, E, Sormani, MP, Van der Walt, A, Vukusic, S, Castillo-Trivino, T, Tenembaum, S, Ciccarelli, O, Bommarito, G, Petracca, M, Celius, EG, Carson, MJ, Hua, LH, Van der Mei, I, Lubetzki, C, Jokubaitis, V, Trojano, M, Voskuhl, R, Tintore, M, Harbo, H, Asgari, N, Piccio, L, Burton, JM, Tremlett, H, Goldman, MD, Michel, L, Zhang, Y, Bove, R, Quandt, JA, Costello, F, Ionete, C, Lebrun-Frenay, C, Pakpoor, J, Bevan, C, Morrow, SA, Waldman, AT, Oh, J, Jacobs, D, Palace, J, Marrie, RA, Tiwari-Woodruff, SK, Metz, LM, Cortese, R, Chitnis, T, Benson, L, Benveniste, ET, Conway, J, Sand, IK, Murphy, JO, Kita, M, Riley, C, Goverman, JM, Langer-Gould, AM, Azevedo, CJ, Morales, IB, Barcellos, LF, Crabtree, E, Plummer, P, Shirani, A, Whartenby, K, Brilot-Turville, F, Kingwell, E, Coyle, P, Mowry, E, Zabad, R, Bielekova, B, Monson, N, Laule, C, Burnett, M, Schreiner, T, Grinspan, J, Dobson, R, Akassoglou, K, Graves, J, Gray, O, Smyth, P, Havrdova, EK, Preiningerova, JL, Banwell, B, Makhani, N, Lucchinetti, C, Arrambide, G, Maillart, E, Macklin, W, and Gilmore, W
- Published
- 2018
47. Identification des maladies neurodégénératives dans les bases de données médicoadministratives en France : revue systématique de la littérature [Identification of neurodegenerative diseases in administrative databases in France: A systematic review of the literature]
- Author
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Gallini , A., Moisan , F., Maura , G., Carcaillon-Bentata , L., Leray , E., Haesebaert , J., Bruandet , A., Moutengou , E., Luciano , L., Weill , A., Marin , Benoît, Gardette , V., Epidémiologie et anlyses en santé publique: risques, maladies chroniques et handicaps, Université Paul Sabatier - Toulouse 3 ( UPS ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), 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 ), Health Service and Performance Research ( HESPER ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon, Neuroépidémiologie Tropicale ( NET ), 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 ,Parkinson's disease ,Sclérose latérale amyotrophique ,Maladies neurodégénératives ,[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie ,Alzheimer's disease ,Amyotrophic lateral sclerosis ,Bases de données médicoadministratives ,Sclérose en plaques ,[ SDV.SP ] Life Sciences [q-bio]/Pharmaceutical sciences ,Neurodegenerative disorders ,Alzheimer ,Parkinson - 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
- 2017
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48. Does air pollution influence risk of relapse in multiple sclerosis?
- Author
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Leray, E., Le Pabic, E., Fermanian, C., Ongagna, J. -C, Bard, D., Jerome de Seze, Comportement et noyaux gris centraux = Behavior and Basal Ganglia [Rennes], CHU Pontchaillou [Rennes]-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université européenne de Bretagne - European University of Brittany (UEB)-Institut des Neurosciences Cliniques de Rennes (INCR), École des Hautes Études en Santé Publique [EHESP] (EHESP), CHU Strasbourg, and Université de Rennes (UR)-Université européenne de Bretagne - European University of Brittany (UEB)-CHU Pontchaillou [Rennes]-Institut des Neurosciences Cliniques de Rennes = Institute of Clinical Neurosciences of Rennes (INCR)
- Subjects
[SDV]Life Sciences [q-bio] ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience; no abstract
- Published
- 2015
49. Peut-on mesurer le niveau de handicap moteur lié à la sclérose en plaques à partir des bases de l’Assurance maladie ?
- Author
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Roux, J., primary, Grimaud, O., additional, and Leray, E., additional
- Published
- 2016
- Full Text
- View/download PDF
50. Utilisation des bases médico-administratives pour l’étude des parcours de soins des patients atteints de sclérose en plaques en France de 2007 à 2013
- Author
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Roux, J., primary, Le Meur, N., additional, Grimaud, O., additional, and Leray, E., additional
- Published
- 2016
- Full Text
- View/download PDF
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