Importance of proper conduct of clinical trials

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چکیده

Clinical trials provide the evidence that forms one of cornerstones modern evidence-based medicine, together with clinical judgement and patient values preferences.1Evidence-Based Medicine Working GroupEvidence-based medicine: a new approach to teaching practice medicine.JAMA. 1992; 268: 2420-2425Crossref PubMed Scopus (3361) Google Scholar The US National Institutes Health defines trial as, ‘a research study in which human subjects are prospectively assigned or more interventions (including placebo control) evaluate effects those on health-related biomedical behavioural outcomes’.2US HealthNIH’s definition trial.https://grants.nih.gov/policy/clinical-trials/definition.htmDate accessed: September 15, 2020Google have long history. Arguably, first description can be found ‘Book Daniel’ Bible.3Lewis E.J. Ancient trials.N Engl J Med. 2003; 348: 83-84Crossref (0) In approximately 600 Before Common Era, Babylonian King Nebuchadnezzar ordered his people eat meat drink wine, was diet he believed would keep them good physical condition. Daniel Judah friends (Shadrach, Meshach, Abednego, who were convinced vegetarians) refused royal proposed steward recorded protocol: ‘Test your servants for 10 days; let us given vegetables water drink. Then our appearance youths king's rich food observed by you, according what you see deal servants'. youthful ate vegetarian drank better condition than ‘meat wine group’, so king issued edict allowing also legumes water. This open-label unblinded presented methodological issues remain important contemporary research: equipoise, selection bias, inadequate controlling confounders sample size, unclear outcomes definitions assessment, but it did lead an change routine (i.e. as form preventive measure). Interestingly, report short effective, even though only published 400 yr after completion.4Neuhauser D. Diaz M. Using Bible teach quality improvement methods.Qual Saf Care. 2004; 13: 153-155Crossref (6) usually conducted efficacy, safety, cost-effectiveness intervention acceptable margin uncertainty. ultimate goal is still same: improving care. RCTs, randomised evaluation against control, currently considered most reliable source data medical widely ‘the gold standard’ hypothesis testing. However, RCTs time effort consuming patients, investigators, healthcare system general. Moreover, application their results not straightforward, they derive from experiment under well-defined circumstances rigorous criteria specific cohort patients. All these aspects different present when physicians decide whether apply individual patient. Indeed, interpretation difficult clinicians, many questions cannot tested trials, cases ethical reasons. Clinicians faced about generalisability; there problems differences methodology evidence. Some barriers overcome standardised assessment strength body question. aim Grading Recommendations, Assessment, Development Evaluations (GRADE) used guidelines, where expertise content experts merged recommendations.5Granholm A. Alhazzani W. Møller M.H. Use GRADE systematic reviews guidelines.Br Anaesth. 2019; 123: 554-559Abstract Full Text PDF (16) It interesting note that, although importance care largely recognised, literature evaluating impact comparison other sources small. Since initial growth use late 1960s 1970s, researchers developed precise stringent rules applied protect enrolled participants, reduce biases uncertainty, improve produced trials. study, refinement, into scientific discipline named ‘clinical methodology’.6Peace K.E. Chen D.-G.D. Trial Methodology. CRC Press, Boca Raton, FL2010Crossref We recently assembled collection articles British Journal Anaesthesia (BJA) conduct (https://bjanaesthesia.org/the-conduct-of-clinical-trials) highlight work being done this points pivotal tests superiority, non-inferiority, equivalence interventions. Selection should very earliest stage planning selected outcome inform design. 2009, BJA has made requirement been registered open database, full methods, including statistical analysis plan, specified advance initiation. core sets (COS) enhances reproducibility focusing relevant endpoints, point view, standard points. therefore includes reports rigorously expert consensus statements followed Core Outcome Set-STAndards define COS fields anaesthesia perioperative medicine.7O’Donnell C.M. Black N. McCourt K.C. et al.Development Set studies morbidity mortality following hip fracture surgery.Br 122: 120-130Abstract (14) Scholar, 8Moonesinghe S.R. Jackson A.I.R. Boney O. al.Systematic review Standardised Endpoints Perioperative initiative: patient-centred outcomes.Br 664-670Abstract (40) 9Barnes J. Hunter Harris S. (StEP) infection sepsis.Br 500-508Abstract (15) Examples discussed included appropriate grading,5Granholm gender disparity inclusion,10Einav Ippolito Cortegiani Inclusion pregnant women COVID-19 therapies: we learned?.Br 2020; 125: e326-e328Abstract (9) high-quality both high-11Leslie K. Story D.A. Diouf E. Out Africa: three generalisable lessons research.Br 2018; 121: 700-702Abstract (1) low- middle-income countries.12Conradie Duys R. Forget P. Biccard B.M. Barriers quantitative qualitative survey 27 African countries.Br 813-821Abstract (25) Inference statistics process drawing conclusions population parameters) based calculated drawn statistics). whole characteristics interest. To valid, must strictly regulated, adequate samples estimation inferred certain uncertainty (probability). There two major approaches inferential statistics: frequentist inference Bayesian inference. Sir Ronald Fisher (1890–962) founder method makes predictions underlying ‘truth’ (parameters population) using current experiment. He lifelong critic ‘inverse probability’ concept shares assumptions theory incorporates prior knowledge similar experiments combined experimental make conclusions.13Aldrich J.R.A. Bayes Bayes’ theorem.Bayesian Anal. 2008; 3: 161-170Crossref (21) Fisher's opinions influenced common decades, making testing.13Aldrich difficulty translating practice, risk inconclusive designed classic advent artificial intelligence (that enable integration large amounts data) led increasing aimed help clinicians interpret methods.14Ferreira Barthoulot Pottecher Torp K.D. Diemunsch Meyer Theory practical methods interpreting data: narrative review.Br 201-207Abstract (10) 15Ferreira A checklist analysed methods.Br 208-215Abstract type setting causal through association between linked true relationship (factor X cause factor Y). randomisation RCT fundamental (but enough) ensure eventual attributable known unknown confounding factors spurious association). observational studies, patients allocated randomly. poses additional difficulties concerning demonstration casualty variables, prone types error, design (e.g. selection, information, bias). understand concepts association, casualty, confounding. They include guidance medicine,14Ferreira 16Krishnamoorthy V. Wong D.J.N. Wilson al.Causal medicine part 1, graphical introduction.Br 393-397Abstract 17Krishnamoorthy McLean Ohnuma T. 2, advanced 398-405Abstract increasingly frequent analyse cohorts high external validity associations. latest useful resource, find recent some regarding methodology. After almost 2500 since trial, how ever! Both authors contributed substantially conception content, drafting paper revising critically intellectual read approved final version paper. AC editorial fellow Anaesthesia, received honoraria lectures Pfizer (New York, NY, USA) Thermo (Waltham, MA, USA). ARA editor Anaesthesia. His group/department grants funding Medicines Company (Parsippany, NJ, USA), Becton Dickinson (Eysins, Switzerland), Dräger (Lübeck, Germany), Paion (Aachen, Rigel (San Francisco, CA, USA); Company, Janssen Pharmaceutica NV (Beerse, Belgium), Dickinson, Paion, Rigel, Philips (Eindhoven, Netherlands), Ever Pharma (Unterach, Austria).

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ژورنال

عنوان ژورنال: BJA: British Journal of Anaesthesia

سال: 2021

ISSN: ['1471-6771', '0007-0912']

DOI: https://doi.org/10.1016/j.bja.2020.09.030