{"id":7745,"date":"2020-06-05T11:44:07","date_gmt":"2020-06-05T11:44:07","guid":{"rendered":"https:\/\/www.kolabtree.com\/blog\/?p=7745"},"modified":"2020-06-05T11:55:08","modified_gmt":"2020-06-05T11:55:08","slug":"the-difficulties-in-clinical-trials","status":"publish","type":"post","link":"https:\/\/www.kolabtree.com\/blog\/it\/the-difficulties-in-clinical-trials\/","title":{"rendered":"Le difficolt\u00e0 nelle sperimentazioni cliniche"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Gli studi scientifici sono progettati con un certo numero di esperimenti di controllo e repliche tali che la risposta alla domanda indagata \u00e8 chiara. In complessi set-up sperimentali come gli studi clinici, i risultati sono spesso meno chiari, rendendo impossibile l'estrapolazione dei dati [1]. Infatti, i rapporti hanno indicato che molti studi clinici sono progettati in modo insufficiente, dando risultati ambigui o inutili [1-3]. Altri problemi come il reclutamento di un numero sufficiente di pazienti per la corretta dimensione del campione [4], bias e percezioni durante il reclutamento [2, 5], il ritiro dei pazienti da uno studio [5, 6], la non trasparenza o la mancanza di una sufficiente revisione da parte di esperti [1, 7] sono fattori molto reali che possono confondere lo studio rendendo difficile raggiungere conclusioni chiare. Inoltre, la convalida dei farmaci di solito continua dopo l'approvazione per il mercato, a livello di popolazione, dove gli effetti rari, avversi o fuori bersaglio sono osservati solo con una grande dimensione del campione e su periodi di tempo pi\u00f9 lunghi [8].\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">L'intero processo di sviluppo di un farmaco \u00e8 lungo e arduo perch\u00e9 comporta rigorosi test di efficacia e sicurezza negli esseri umani. Tuttavia, questo processo \u00e8 necessario per fornire al pubblico un profilo ragionevolmente completo del nuovo farmaco o di un farmaco esistente usato per una nuova indicazione. Il rigore nei test clinici \u00e8 necessario anche per minimizzare tragedie come quelle del <\/span><span style=\"font-weight: 400;\">processo BIA 10-2474 [9, 10], il <\/span><span style=\"font-weight: 400;\">Studio Theralizumab [11], <\/span><span style=\"font-weight: 400;\">la sperimentazione della terapia genica per il deficit di ornitina transcarbamilasi (OTC) [12], <\/span><span style=\"font-weight: 400;\">e il disastro del Talidomide negli anni '50 e '60 [13].\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ogni tragedia ha portato a molti sforzi da parte della comunit\u00e0 scientifica, delle istituzioni mediche e degli enti governativi per aumentare la comunicazione, la consultazione e riconoscere i problemi all'inizio per prevenire i danni e valutare meglio l'applicabilit\u00e0 delle prove future [14-17]. Tuttavia, il processo dalla scoperta del farmaco al mercato \u00e8 ancora lontano dalla perfezione. Negli ultimi mesi, il mondo ha assistito alla complessit\u00e0 e spesso all'inconcludenza degli studi scientifici. Con la recente notizia dei risultati positivi del trial sul Remdesivir in pazienti gravi con COVID-19 e l'approvazione accelerata del farmaco da parte della FDA [18, 19], dobbiamo ricordarci che c'\u00e8 ancora molto lavoro da fare.\u00a0<\/span><\/p>\n<ol>\n<li><span style=\"font-weight: 400;\">Ioannidis, J.P., <\/span><i><span style=\"font-weight: 400;\">Why Most Clinical <a href=\"https:\/\/www.kolabtree.com\/blog\/it\/ensuring-reproducibility-in-ai-driven-research-how-freelance-experts-can-help-in-biotech-and-healthcare\/\">Ricerca<\/a> Is Not Useful.<\/span><\/i><span style=\"font-weight: 400;\"> PLoS Med, 2016. 13(6): p. e1002049.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Treweek, S. e M. Zwarenstein, <\/span><i><span style=\"font-weight: 400;\">Rendere le prove importanti: prove pragmatiche ed esplicative e il problema dell'applicabilit\u00e0.<\/span><\/i><span style=\"font-weight: 400;\"> Prove, 2009. 10: p. 37.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Slattery, P., A.K. Saeri, e P. Bragge, <\/span><i><span style=\"font-weight: 400;\">La co-progettazione della ricerca nella salute: una rapida panoramica delle revisioni.<\/span><\/i><span style=\"font-weight: 400;\"> Health Res Policy Syst, 2020. 18(1): p. 17.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Reynolds, T., <\/span><i><span style=\"font-weight: 400;\">Studi clinici: la tecnologia pu\u00f2 risolvere il problema del basso reclutamento?<\/span><\/i><span style=\"font-weight: 400;\"> BMJ, 2011. 342: p. d3662.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Lehmann, B.A., et al, <\/span><i><span style=\"font-weight: 400;\">\"E poi \u00e8 entrato nel gruppo sbagliato\": A Qualitative Study Exploring the Effects of Randomization in Recruitment to a Randomized Controlled Trial.<\/span><\/i><span style=\"font-weight: 400;\"> Int J Environ Res Public Health, 2020. 17(6).<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Cleland , J.G.F., et al, <\/span><i><span style=\"font-weight: 400;\">Un metodo per ridurre la perdita al follow-up negli studi clinici: il ritiro del consenso informato.<\/span><\/i><span style=\"font-weight: 400;\"> European Journal of Heart Failure 2004. 6<\/span><\/li>\n<\/ol>\n<p><b>\u00a0<\/b><span style=\"font-weight: 400;\">(1).<\/span><\/p>\n<ol start=\"7\">\n<li><span style=\"font-weight: 400;\">Miyakawa, T., <\/span><i><span style=\"font-weight: 400;\">Niente dati grezzi, niente scienza: un'altra possibile fonte della crisi della riproducibilit\u00e0.<\/span><\/i><span style=\"font-weight: 400;\"> Mol Brain, 2020. <\/span><b>13<\/b><span style=\"font-weight: 400;\">(1): p. 24.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Raj, N., et al, <\/span><i><span style=\"font-weight: 400;\">Sorveglianza post-commercializzazione: una revisione degli aspetti chiave e delle misure sul funzionamento effettivo nel contesto del Regno Unito e del Canada.<\/span><\/i><span style=\"font-weight: 400;\"> Ther Adv Drug Saf, 2019. <\/span><b>10<\/b><span style=\"font-weight: 400;\">: p. 2042098619865413.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Randerson, J., <\/span><i><span style=\"font-weight: 400;\">Uno studio clinico francese fatale non ha controllato i dati prima di aumentare la dose del farmaco.<\/span><\/i><span style=\"font-weight: 400;\"> Nature News, 2016.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Kaur, R., P. Sidhu, e S. Singh, <\/span><i><span style=\"font-weight: 400;\">Cosa ha fallito la sperimentazione clinica di Fase I di BIA 10-2474? Speculazioni globali e raccomandazioni per i futuri studi di fase I.<\/span><\/i><span style=\"font-weight: 400;\"> J Pharmacol Pharmacother, 2016. <\/span><b>7<\/b><span style=\"font-weight: 400;\">(3): p. 120-6.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Attarwala, H., <\/span><i><span style=\"font-weight: 400;\">TGN1412: Dalla scoperta al disastro.<\/span><\/i><span style=\"font-weight: 400;\"> J Young Pharm, 2010. <\/span><b>2<\/b><span style=\"font-weight: 400;\">(3): p. 332-6.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Rinde, M., <\/span><i><span style=\"font-weight: 400;\">La morte di Jesse Gelsinger, 20 anni dopo<\/span><\/i><span style=\"font-weight: 400;\">, in <\/span><i><span style=\"font-weight: 400;\">Istituto di Storia della Scienza - Distillazioni<\/span><\/i><span style=\"font-weight: 400;\">. 2019.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Vargesson, N., <\/span><i><span style=\"font-weight: 400;\">Teratogenesi indotta da talidomide: storia e meccanismi.<\/span><\/i><span style=\"font-weight: 400;\"> Difetti di nascita Res C Embryo Today, 2015. <\/span><b>105<\/b><span style=\"font-weight: 400;\">(2): p. 140-56.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Lipman, P.D., L. Dluzak, e C.M. Stoney, <\/span><i><span style=\"font-weight: 400;\">Questo studio \u00e8 fattibile? Facilitare la gestione delle pietre miliari della pianificazione della sperimentazione pragmatica in un meccanismo di finanziamento a fasi.<\/span><\/i><span style=\"font-weight: 400;\"> Prove, 2019. <\/span><b>20<\/b><span style=\"font-weight: 400;\">(1): p. 307.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Dal-R\u00e9, R., P. Janiaud, e J.P.A. Ioannidis, <\/span><i><span style=\"font-weight: 400;\">Prove del mondo reale: Quanto sono pragmatici gli studi controllati randomizzati etichettati come pragmatici?<\/span><\/i><span style=\"font-weight: 400;\"> BMC Med, 2018. <\/span><b>16<\/b><span style=\"font-weight: 400;\">(1): p. 49.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Reijers, J.A.A., et al, <\/span><i><span style=\"font-weight: 400;\">Immunostimolazione avversa causata da impurit\u00e0: Il lato oscuro dei biofarmaci.<\/span><\/i><span style=\"font-weight: 400;\"> Br J Clin Pharmacol, 2019. <\/span><b>85<\/b><span style=\"font-weight: 400;\">(7): p. 1418-1426.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Van Norman, G.A., <\/span><i><span style=\"font-weight: 400;\">Limiti degli studi sugli animali per prevedere la tossicit\u00e0 negli studi clinici: \u00c8 tempo di ripensare il nostro approccio attuale?<\/span><\/i><span style=\"font-weight: 400;\"> JACC Basic Transl Sci, 2019. <\/span><b>4<\/b><span style=\"font-weight: 400;\">(7): p. 845-854.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Malattie, N.I.o.A.a.I., <\/span><i><span style=\"font-weight: 400;\">Lo studio clinico NIH mostra che il Remdesivir accelera il recupero dalla COVID-19 avanzata<\/span><\/i><span style=\"font-weight: 400;\">, N.I.o. Salute, Editore. 2020.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Gilead, <\/span><i><span style=\"font-weight: 400;\">Gilead annuncia i risultati della sperimentazione di fase 3 dell'antivirale Remdesivir in pazienti con grave COVID-19<\/span><\/i><span style=\"font-weight: 400;\">, Gilead, Editore. 2020.<\/span><\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"<p>Scientific studies are designed with a number of control experiments and replications such that the answer to the question being investigated is clear. In complex experimental set-ups like clinical trials, results are often less clear making extrapolation of data impossible [1]. In fact, reports have indicated that many clinical trials are insufficiently designed, yielding ambiguous<\/p>\n<div class=\"read-more\"><a href=\"https:\/\/www.kolabtree.com\/blog\/it\/the-difficulties-in-clinical-trials\/\" title=\"Per saperne di pi\u00f9\">Per saperne di pi\u00f9<\/a><\/div>","protected":false},"author":12,"featured_media":7750,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[435],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.1 (Yoast SEO v20.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Difficulties in Clinical Trials - The Kolabtree Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kolabtree.com\/blog\/it\/the-difficulties-in-clinical-trials\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Difficulties in Clinical Trials\" \/>\n<meta property=\"og:description\" content=\"Scientific studies are designed with a number of control experiments and replications such that the answer to the question being investigated is clear. In complex experimental set-ups like clinical trials, results are often less clear making extrapolation of data impossible [1]. In fact, reports have indicated that many clinical trials are insufficiently designed, yielding ambiguousRead More\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.kolabtree.com\/blog\/it\/the-difficulties-in-clinical-trials\/\" \/>\n<meta property=\"og:site_name\" content=\"The Kolabtree Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/kolabtree\" \/>\n<meta property=\"article:published_time\" content=\"2020-06-05T11:44:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-06-05T11:55:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2020\/06\/The-Difficulties-in-Clinical-Trials.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"877\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ramya Sriram\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:site\" content=\"@kolabtree\" \/>\n<meta name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ramya Sriram\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tempo di lettura stimato\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minuti\" \/>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"The Difficulties in Clinical Trials - The Kolabtree Blog","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.kolabtree.com\/blog\/it\/the-difficulties-in-clinical-trials\/","og_locale":"it_IT","og_type":"article","og_title":"The Difficulties in Clinical Trials","og_description":"Scientific studies are designed with a number of control experiments and replications such that the answer to the question being investigated is clear. In complex experimental set-ups like clinical trials, results are often less clear making extrapolation of data impossible [1]. In fact, reports have indicated that many clinical trials are insufficiently designed, yielding ambiguousRead More","og_url":"https:\/\/www.kolabtree.com\/blog\/it\/the-difficulties-in-clinical-trials\/","og_site_name":"The Kolabtree Blog","article_publisher":"https:\/\/www.facebook.com\/kolabtree","article_published_time":"2020-06-05T11:44:07+00:00","article_modified_time":"2020-06-05T11:55:08+00:00","og_image":[{"width":1280,"height":877,"url":"https:\/\/www.kolabtree.com\/blog\/wp-content\/uploads\/2020\/06\/The-Difficulties-in-Clinical-Trials.jpg","type":"image\/jpeg"}],"author":"Ramya Sriram","twitter_card":"summary_large_image","twitter_creator":"@kolabtree","twitter_site":"@kolabtree","twitter_misc":{"Scritto da":"Ramya Sriram","Tempo di lettura stimato":"4 minuti"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/#article","isPartOf":{"@id":"https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/"},"author":{"name":"Ramya Sriram","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/person\/81992f5863a1b06d132a47822e7b4400"},"headline":"The Difficulties in Clinical Trials","datePublished":"2020-06-05T11:44:07+00:00","dateModified":"2020-06-05T11:55:08+00:00","mainEntityOfPage":{"@id":"https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/"},"wordCount":741,"commentCount":0,"publisher":{"@id":"https:\/\/www.kolabtree.com\/blog\/#organization"},"articleSection":["Research"],"inLanguage":"it-IT","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/","url":"https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/","name":"The Difficulties in Clinical Trials - The Kolabtree Blog","isPartOf":{"@id":"https:\/\/www.kolabtree.com\/blog\/#website"},"datePublished":"2020-06-05T11:44:07+00:00","dateModified":"2020-06-05T11:55:08+00:00","breadcrumb":{"@id":"https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/#breadcrumb"},"inLanguage":"it-IT","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.kolabtree.com\/blog\/pt\/the-difficulties-in-clinical-trials\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.kolabtree.com\/blog\/"},{"@type":"ListItem","position":2,"name":"The Difficulties in Clinical Trials"}]},{"@type":"WebSite","@id":"https:\/\/www.kolabtree.com\/blog\/#website","url":"https:\/\/www.kolabtree.com\/blog\/","name":"The Kolabtree Blog","description":"Expert Views on Science, Innovation and Product Development","publisher":{"@id":"https:\/\/www.kolabtree.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.kolabtree.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"it-IT"},{"@type":"Organization","@id":"https:\/\/www.kolabtree.com\/blog\/#organization","name":"Kolabtree","url":"https:\/\/www.kolabtree.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/logo\/image\/","url":"","contentUrl":"","caption":"Kolabtree"},"image":{"@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/kolabtree","https:\/\/twitter.com\/kolabtree","https:\/\/instagram.com\/kolabtree","https:\/\/www.linkedin.com\/company\/kolabtree","https:\/\/en.m.wikipedia.org\/wiki\/Kolabtree"]},{"@type":"Person","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/person\/81992f5863a1b06d132a47822e7b4400","name":"Ramya Sriram","image":{"@type":"ImageObject","inLanguage":"it-IT","@id":"https:\/\/www.kolabtree.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/8100b45c960ebbbbe420e8b3f250515f?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8100b45c960ebbbbe420e8b3f250515f?s=96&d=mm&r=g","caption":"Ramya Sriram"},"description":"Ramya Sriram manages digital content and communications at Kolabtree (kolabtree.com), the world's largest freelancing platform for scientists. 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