Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

. 2022 May 30 ; 22 (1) : 155. [epub] 20220530

Jazyk angličtina Země Velká Británie, Anglie Médium electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid35637426
Odkazy

PubMed 35637426
PubMed Central PMC9150358
DOI 10.1186/s12874-022-01623-8
PII: 10.1186/s12874-022-01623-8
Knihovny.cz E-zdroje

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 fulfilled.

Aarhus University Hospital Neurology PJJ Boulevard DK 8200 Aarhus N Denmark

Arènes UMR 6051 RSMS U 1309 Univ Rennes EHESP CNRS Inserm Rennes France

Assistance Publique Des Hôpitaux de Paris Hôpital Bicêtre Service de neurologie Le Kremlin Bicêtre France

Assistance Publique Des Hôpitaux de Paris Hôpital de La Pitié Salpêtrière Service de neurologie Paris France

Assistance Publique Des Hôpitaux de Paris Hôpital Henri Mondor Service de neurologie Créteil France

Assistance Publique Des Hôpitaux de Paris Hôpital Saint Antoine Service de neurologie Paris France

Azienda Ospedaliera Di Rilievo Nazionale San Giuseppe Moscati Avellino Avellino Italy

Central Clinical School Monash University Melbourne Australia

Centre Des Neurosciences de Lyon UMR5292 Observatoire Français de La Sclérose en Plaques INSERM 1028 et CNRS 69003 Lyon France

Centre Hospitalier de Pontoise Service de neurologie Pontoise France

Centre Hospitalier de Saint Denis Hôpital Casanova Service de neurologie Saint Denis France

Centre Hospitalier de Versailles Hôpital André Mignot Service de neurologie Le Chesnay France

Centre Hospitalier Intercommunal de Poissy Saint Germain en Laye Service de neurologie Poissy France

Centre Hospitalier Régional Universitaire de Besançon Hôpital Jean Minjoz Service de neurologie Besançon France

Centre Hospitalier Régional Universitaire de Nancy Hôpital Central Service de neurologie Nancy France

Centre Hospitalier Régional Universitaire de Tours Hôpital Bretonneau Service de neurologie Tours France

Centre Hospitalier Sud Francilien Service de neurologie Corbeil Essonnes France

Centre Hospitalier Universitaire d'Amiens Picardie Site sud Service de neurologie Amiens France

Centre Hospitalier Universitaire de Bordeaux Hôpital Pellegrin Service de neurologie Bordeaux France

Centre Hospitalier Universitaire de Caen Normandie Hôpital Côte de Nacre Service de neurologie Caen France

Centre Hospitalier Universitaire de Clermont Ferrand Hôpital Gabriel Montpied Service de neurologie Clermont Ferrand France

Centre Hospitalier Universitaire de Lille Hôpital Salengro Service de neurologie D Lille France

Centre Hospitalier Universitaire de Martinique Hôpital Pierre Zobda Quitman Service de neurologie Fort de France France

Centre Hospitalier Universitaire de Montpellier Hôpital Gui de Chauliac Service de neurologie Montpellier France

Centre Hospitalier Universitaire de Nice UR2CA URRIS Université Nice Côte d'Azur Hôpital Pasteur 2 Service de neurologie Nice France

Centre Hospitalier Universitaire de Nîmes Hôpital Carémeau Service de neurologie Nîmes France

Centre Hospitalier Universitaire de Poitiers Site de La Milétrie Service de neurologie Poitiers France

Centre Hospitalier Universitaire de Rennes Hôpital Pontchaillou Service de neurologie Rennes France

Centre Hospitalier Universitaire de Saint Étienne Hôpital Nord Service de neurologie Saint Étienne France

Centre Hospitalier Universitaire de Toulouse Hôpital Purpan CRC SEP Département de neurologie Toulouse France

Centre Hospitalier Universitaire Dijon Bourgogne Hôpital François Mitterrand Maladies Inflammatoires du Système Nerveux Et Neurologie Générale Service de neurologie Dijon France

Centre Hospitalier Universitaire Grenoble Alpes Site nord Service de neurologie Grenoble La Tronche France

Centre Hospitalier Universitaire Limoges Hôpital Dupuytren Service de neurologie Limoges France

CHU de Nantes Service de Neurologie and CIC015 INSERM 44093 Nantes France

CHUM and Universite de Montreal Montreal Canada

CISSS Chaudiere Appalache Levis Canada

CSSS Saint Jérôme Saint Jerome Canada

Danish Multiple Sclerosis Centre Department of Neurology Copenhagen University Hospital Rigshospitalet Glostrup 2600 Glostrup Denmark

Department of Basic Medical Sciences Neuroscience and Sense Organs University of Bari Bari Italy

Department of Clinical Epidemiology Aarhus University Hospital Aarhus Aarhus Denmark

Department of Clinical Medicine University of Copenhagen Copenhagen Denmark

Department of Emergency and General Medicine Parma University Hospital Parma Italy

Department of Medicine and Surgery University of Parma Parma Italy

Department of Medicine University of Melbourne Melbourne Australia

Department of Neurology Aalborg University Hospital Multiple Sclerosis Unit Aalborg Denmark

Department of Neurology and Center of Clinical Neuroscience 1st Faculty of Medicine Charles University Prague and General University Hospital Prague Czech Republic

Department of Neurology Box Hill Hospital Monash University Melbourne Australia

Department of Neurology Copenhagen University Hospital Herlev Copenhagen Denmark

Department of Neurology Faculty of Medicine University of Debrecen Debrecen Hungary

Department of Neurology John Hunter Hospital Hunter New England Health Newcastle Australia

Department of Neurology The Alfred Hospital Melbourne Australia

Department of Neurology The Danish Multiple Sclerosis Registry Copenhagen University Hospital Rigshospitalet Glostrup Denmark

Department of Neurology University Hospital of Northern Sealand Copenhagen Denmark

Department of Neuroscience Azienda Ospedaliera Universitaria Modena Italy

Department of Neuroscience Imaging and Clinical Sciences University G d'Annunzio Chieti Italy

Dipartimento Di Scienze Biomediche E Neuromotorie Università Di Bologna Bologna Italy

Division of Neurology Department of Medicine Amiri Hospital Sharq Kuwait

Dokuz Eylul University Konak Izmir Turkey

Eugene Devic EDMUS Foundation 69677 Lyon Bron France

Flinders University Adelaide Australia

Fondation Adolphe de Rothschild de L'œil Et du Cerveau Service de neurologie Paris France

Garibaldi Hospital Catania Italy

GF Ingrassia Department University of Catania Catania Italy

Hacettepe University Ankara Turkey

Haydarpasa Numune Training and Research Hospital Istanbul Turkey

Hopital Notre Dame Montreal Canada

Hospital Universitario Virgen Macarena Seville Spain

INSERM CR1064 44000 Nantes France

IRCCS Istituto Delle Scienze Neurologiche Di Bologna Bologna Italy

Isfahan University of Medical Sciences Isfahan Iran

KTU Medical Faculty Farabi Hospital Trabzon Turkey

Medical Faculty 19 Mayis University Samsun Turkey

Melbourne MS Centre Department of Neurology Royal Melbourne Hospital Melbourne Australia

Monash University Melbourne Australia

Nehme and Therese Tohme Multiple Sclerosis Center American University of Beirut Medical Center Beirut Lebanon

Neuro Rive Sud Longueuil QC Canada

Policlinico G Rodolico Catania Italy

Rehabilitation and MS Centre Overpelt and Hasselt University Hasselt Belgium

Rouen University Hospital 76000 Rouen France

Royal Brisbane and Women's Hospital Herston Australia

School of Medicine and Public Health University Newcastle Newcastle Australia

Service de Neurologie Aix Marseille Univ APHM Hôpital de La Timone Pôle de Neurosciences Cliniques 13005 Marseille France

Service de Neurologie Sclérose en Plaques Pathologies de La Myéline Et Neuro Inflammation Hôpital Neurologique Pierre Wertheimer Hospices Civils de Lyon 69677 Lyon Bron France

Service des maladies inflammatoires du système nerveux neurologie centre d'investigation clinique de Strasbourg Hôpitaux Universitaire de Strasbourg Hôpital de Hautepierre INSERM 1434 Strasbourg France

Univ Rennes CHU Rennes Investigation Clinique de Rennes)] CIC 1414 [(Centre d 35000 InsermRennes France

Université Claude Bernard Lyon 1 Faculté de médecine Lyon Est 69000 Lyon France

University of Queensland Brisbane Australia

Westmead Hospital Sydney Australia

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Rudick RA, Stuart WH, Calabresi PA, Confavreux C, Galetta SL, Radue E-W, et al. Natalizumab plus Interferon Beta-1a for Relapsing Multiple Sclerosis. N Engl J Med. 2006;354(9):911–23. PubMed

Polman CH, O’Connor PW, Havrdova E, Hutchinson M, Kappos L, Miller DH, et al. A Randomized, Placebo-Controlled Trial of Natalizumab for Relapsing Multiple Sclerosis. J new Engl Med. 2006;354(9):899–910. PubMed

Kappos L , Radue EW, O’Connor P , Polman C, Hohfeld R, Calabresi PA, et al. A Placebo-Controlled Trial of Oral Fingolimod in Relapsing Multiple Sclerosis Ludwig. New Engl J. 2010;362(5):387–401. PubMed

Cohen JA, Barkhof F, Comi G, Hartung H-P, Khatri BO, Montalban X, et al. Oral Fingolimod or Intramuscular Interferon for Relapsing Multiple Sclerosis. N Engl J Med. 2010;362(5):402–15. PubMed

Barbin L, Rousseau C, Jousset N, Casey R, Debouverie M, Vukusic S, et al. Comparative efficacy of fingolimod vs natalizumab A French multicenter observational study. Neurology. 2016;86(18):771–778. PubMed PMC

Kalincik T, Horakova D, Spelman T, Jokubaitis V, Trojano M, Lugaresi A, et al. Switch to natalizumab versus fingolimod in active relapsing-remitting multiple sclerosis. Ann Neurol. 2015;77(3):425–435. PubMed

Koch-Henriksen N, Magyari M, Sellebjerg F, Soelberg SP. A comparison of multiple sclerosis clinical disease activity between patients treated with natalizumab and fingolimod. Mult Scler J. 2017;23(2):234–241. PubMed

Lorscheider J, Benkert P, Lienert C, Hänni P, Derfuss T, Kuhle J, et al. Comparative analysis of natalizumab versus fingolimod as second-line treatment in relapsing–remitting multiple sclerosis. Mult Scler J. 2018;24(6):777–785. PubMed

Prosperini L, Saccà F, Cordioli C, Cortese A, Buttari F, Pontecorvo S, et al. Real-world effectiveness of natalizumab and fingolimod compared with self-injectable drugs in non-responders and in treatment-naïve patients with multiple sclerosis. J Neurol. 2017;264(2):284–294. PubMed

Sharmin S, Lefort M, Andersen JB, Leray E, Horakova D, Havrdova EK, et al. Natalizumab Versus Fingolimod in Patients with Relapsing-Remitting Multiple Sclerosis: A Subgroup Analysis From Three International Cohorts. CNS Drugs [Internet]. 2021;35(11):1217–32. PubMed

Andersen JB, Sharmin S, Lefort M, Koch-Henriksen N, Sellebjerg F, Sørensen PS, et al. The effectiveness of natalizumab vs fingolimod–A comparison of international registry studies. Mult Scler Relat Disord. 2021;53. PubMed

Hernán MA, Robins JM. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol. 2016;183(8):758–764. PubMed PMC

Austin PC. A tutorial and case study in propensity score analysis: An application to estimating the effect of in-hospital smoking cessation counseling on mortality. Multivariate Behav Res. 2011;46(1):119–151. PubMed PMC

Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46(3):399–424. PubMed PMC

Sedgwick P. Intention to treat analysis versus per protocol analysis of trial data. BMJ [Internet]. 2015;350(February):1–2. PubMed

Kalincik T, Jokubaitis V, Izquierdo G, Duquette P, Girard M, Grammond P, et al. Comparative effectiveness of glatiramer acetate and interferon beta formulations in relapsing–remitting multiple sclerosis. Mult Scler J. 2015;21(9):1159–1171. PubMed

Sharmin S, Lefort M, Andersen JB, Leray E, Horakova D, Havrdova EK, et al. Natalizumab Versus Fingolimod in Patients with Relapsing-Remitting Multiple Sclerosis: A Subgroup Analysis From Three International Cohorts. CNS Drugs. 2021;35(11):1217–32. PubMed

Kalincik T, Butzkueven H. The MSBase registry: Informing clinical practice. Mult Scler J. 2019;25(14):1828–1834. PubMed

Butzkueven H, Chapman J, Cristiano E , Grand’Maison F, Hoffmann M, Izquierdo G, et al. MSBase: An international, online registry and platform for collaborative outcomes research in multiple sclerosis. Mult Scler. 2006;12(6):769––74. PubMed

Magyari M, Joensen H, Laursen B, Koch-Henriksen N. The Danish Multiple Sclerosis Registry. Brain Behav. 2021;11(1):1–10. PubMed PMC

Magyari M, Koch-Henriksen N, Sørensen PS. The Danish multiple sclerosis treatment register. Clin Epidemiol. 2016;8:549–552. PubMed PMC

Vukusic S, Casey R, Rollot F, Brochet B, Pelletier J, Laplaud DA, et al. Observatoire Français de la Sclérose en Plaques (OFSEP): A unique multimodal nationwide MS registry in France. Mult Scler J. 2018;1–5. PubMed

Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS) Neurology. 1983;33(11):1444–1452. PubMed

Foo EC, Russell M, Lily O, Ford HL. Mitoxantrone in relapsing-remitting and rapidly progressive multiple sclerosis: Ten-year clinical outcomes post-treatment with mitoxantrone. Mult Scler Relat Disord. 2020;44:102330. PubMed

Chartier N, Epstein J, Soudant M, Dahan C, Michaud M, Pittion-Vouyovitch S, et al. Clinical follow-up of 411 patients with relapsing and progressive multiple sclerosis 10 years after discontinuing mitoxantrone treatment: a real-life cohort study. Eur J Neurol. 2018;25(12):1439–1445. PubMed

Le Page E, Leray E, Taurin G, Coustans M, Chaperon J, Morrissey SP, et al. Mitoxantrone as induction treatment in aggressive relapsing remitting multiple sclerosis: treatment response factors in a 5 year follow-up observational study of 100 consecutive patients. J Neurol Neurosurg Psychiatry. 2008;79(1):52–56. PubMed

Rosenbaum PR, Rubin DB. The Central Role of the Propensity Score in Observational Studies for Causal Effects Effects. Biometrika. 1983;70(1):41–55.

Hernán M, Robins J. Causal inference. Boca Raton. 2019.

Pirracchio R, Carone M, Rigon MR, Caruana E, Mebazaa A, Chevret S. Propensity score estimators for the average treatment effect and the average treatment effect on the treated may yield very different estimates. Stat Methods Med Res. 2013;25(5):1938–1954. PubMed

Austin PC. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies. Pharm Stat. 2011;10(2):150–161. PubMed PMC

Vaughan AS, Kelley CF, Luisi N, Del Rio C, Sullivan PS, Rosenberg ES. An application of propensity score weighting to quantify the causal effect of rectal sexually transmitted infections on incident HIV among men who have sex with men Data analysis, statistics and modelling. BMC Med Res Methodol. 2015;15(1):1–9. PubMed PMC

Hirano K, Imbens GW, Geert R. Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score. Econometrica. 2003;71(4):1161–1189.

Austin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med. 2015;34(28):3661–79. PubMed PMC

Cole SR, Hernán MA. Adjusted survival curves with inverse probability weights. Comput Methods Programs Biomed. 2004;75:45–49. PubMed

Kalincik T, Cutter G, Spelman T, Jokubaitis V, Havrdova E, Horakova D. Defining reliable disability outcomes in multiple sclerosis. Brain. 2015;138(11):3287–3298. PubMed

Cohen M, Mondot L, Bucciarelli F, Pignolet B, Laplaud DA, Wiertlewski S, et al. BEST-MS: A prospective head-to-head comparative study of natalizumab and fingolimod in active relapsing MS. Mult Scler J. 2020;1–8. PubMed

Austin PC. The relative ability of different propensity score methods to balance measured covariates between treated and untreated subjects in observational studies. Med Decis Mak. 2009;29(6):661–677. PubMed

Austin PC. The performance of different propensity score methods for estimating marginal odds ratios. Stat Med. 2007;26:3078–3094. PubMed

Austin PC. The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies. Stat Med. 2010;29(20):2137–2148. PubMed PMC

Austin PC. The performance of different propensity score methods for estimating marginal hazard ratios. Stat Med. 2013;32(16):2837–2849. PubMed PMC

Karim ME, Pellegrini F, Platt RW, Simoneau G, Rouette J, de Moor C. The use and quality of reporting of propensity score methods in multiple sclerosis literature: A review. Mult Scler J. 2020;1–7. PubMed PMC

Seeger JD, Bykov K, Bartels DB, Huybrechts K, Schneeweiss S. Propensity Score Weighting Compared to Matching in a Study of Dabigatran and Warfarin. Drug Saf. 2017;40(2):169–181. PubMed

Hernán MA, Hernández-Díaz S. Beyond the intention-to-treat in comparative effectiveness research. Clin Trials. 2012;9(1):48–55. PubMed PMC

Sormani MP, Bruzzi P. Can we measure long-term treatment effects in multiple sclerosis? Nat Rev Neurol. 2014;11(3):176–182. PubMed

Mansournia MA, Higgins JPT, Sterne JAC, Hernán MA. Biases in randomized trials: a conversation between trialists and epidemiologists. Epidemiology. 2017;28(1):54–59. PubMed PMC

Robins JM, Hernán MÁ, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology. 2000;11(5):550–560. PubMed

Karim ME, Gustafson P, Petkau J, Zhao Y, Shirani A, Kingwell E, et al. Marginal structural cox models for estimating the association between β-interferon exposure and disease progression in a multiple sclerosis cohort. Am J Epidemiol. 2014;180(2):160–171. PubMed PMC

Kalincik T, Diouf I, Sharmin S, Malpas C, Spelman T, Horakova D, et al. Effect of Disease-Modifying Therapy on Disability in Relapsing-Remitting Multiple Sclerosis Over 15 Years. Neurology [Internet]. 2021 Feb 2;96(5):e783 LP-e797. Available from: http://n.neurology.org/content/96/5/e783.abstract PubMed PMC

Tintore M, Rovira À, Río J, Otero-Romero S, Arrambide G, Tur C, et al. Defining high, medium and low impact prognostic factors for developing multiple sclerosis. Brain. 2015;138(7):1863–1874. PubMed

Bovis F, Signori A, Carmisciano L, Maietta I, Steinerman JR, Li T, et al. Expanded disability status scale progression assessment heterogeneity in multiple sclerosis according to geographical areas. Ann Neurol. 2018;84(4):621–625. PubMed

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