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What kind of randomized trials do patients and clinicians need?

2009· editorial· en· W2497259185 on OpenAlexaffabout
Merrick Zwarenstein

Bibliographic record

VenueAnnals of Internal Medicine · 2009
Typeeditorial
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsSunnybrook Health Science CentreHealth Sciences Centre
Fundersnot available
KeywordsMedicineRandomized controlled trialIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

ACP Journal Club19 May 2009What kind of randomized trials do patients and clinicians need?Merrick Zwarenstein, MBBCh, MSc, Shaun Treweek, PhDMerrick Zwarenstein, MBBCh, MScCentre for Health Services Sciences, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (M.Z.), Shaun Treweek, PhDUniversity of Dundee, Dundee, Scotland, UK (S.T.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-150-10-200905190-02002 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail In 1967, Daniel Schwartz and Joseph Lellouch (1) argued that there are 2 kinds of randomized controlled trials (RCTs), which embody radically different attitudes to evaluation of treatment. They named these trials "pragmatic" and "explanatory" and stated that these 2 attitudes require different approaches to the design of a randomized trial. The pragmatic attitude seeks to directly inform real-world decisions among alternative treatments, and Schwartz and Lellouch (1) show that this purpose is satisfied in trials that test feasible interventions on typical patients in common settings, with usual care as the comparator, to widen real-world applicability. In contrast, the explanatory ...References1 Schwartz D, Lellouch J. Explanatory and pragmatic attitudes in therapeutical trials. J Chronic Dis. 1967;20:637-48. [PMID: 4860352] Google Scholar2 Rothwell PM. External validity of randomised controlled trials: "to whom do the results of this trial apply?" Lancet. 2005;365:82-93. [PMID: 15639683] Google Scholar3 North American Symptomatic Carotid Endarterectomy Trial Collaborators. Beneficial effect of carotid endarterectomy in symptomatic patients with high-grade carotid stenosis. N Engl J Med. 1991;325:445-53. [PMID: 1852179] Google Scholar4 Wing LM, Reid CM, Ryan P, et al, for the Second Australian National Blood Pressure Study Group. A comparison of outcomes with angiotensin-converting-enzyme inhibitors and diuretics for hypertension in the elderly. N Engl J Med. 2003;348:583-92. [PMID: 12584366] Google Scholar5 Vallvé C. [A critical review of the pragmatic clinical trial]. Med Clin (Barc). 2003;121:384-8. [PMID: 14565915] Google Scholar6 Van Spall HG, Toren A, Kiss A, Fowler RA. Eligibility criteria of randomized controlled trials published in high-impact general medical journals: a systematic sampling review. JAMA. 2007;297:1233-40. [PMID: 17374817] Google Scholar7 US Food and Drug Administration. Guidance for institutional review boards and clinical investigators. 1998 update. www.fda.gov/oc/ohrt/irbs/drugsbiologics.html#study (accessed 14 Mar 09). Google Scholar8 Tunis SR, Stryer DB, Clancy CM. Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy. JAMA. 2003;290:1624-32. [PMID: 14506122] Google Scholar9 Congressional Budget Office. Research on the comparative effectiveness of medical treatments: issues and options for an expanded federal role. Report Pub. No. 2975. Washington: Congressional Budget Office, Dec 2007. www.cbo.gov/ftpdocs/88xx/doc8891/12-18-ComparativeEffectiveness.pdf (accessed 14 Apr 2009). Google Scholar10 Thorpe KE, Zwarenstein M, Oxman AD, et al. A pragmatic–explanatory continuum indicator summary (PRECIS): a tool to help trial designers. J Clin Epidemiol. 2009;62:464-75. [PMID: 19348971] Google Scholar11 Zwarenstein M, Treweek S, Gagnier JJ, et al, for the CONSORT group and Pragmatic Trials in Healthcare (Practihc) group. Improving the reporting of pragmatic trials: an extension of the CONSORT statement. BMJ. 2008;337:a2390. [PMID: 19001484] Google Scholar Author, Article, and Disclosure InformationAffiliations: Centre for Health Services Sciences, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (M.Z.)University of Dundee, Dundee, Scotland, UK (S.T.)This article was published at Annals.org on 5 May 2009. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited ByVirtual Reality exposure therapy for public speaking anxiety in routine care: a single-subject effectiveness trialLoopholes in the Research Ethics System? Informed Consent Waivers in Cluster Randomized Trials with Individual‐Level InterventionA careful biomedicine? Generalization and abstraction in RCTsPerspective: Randomized Controlled Trials Are Not a Panacea for Diet-Related ResearchCan Database Studies Be Used to Make the Tough Research Decisions?A Transdiagnostic Internet-Based Maintenance Treatment Enhances the Stability of Outcome after Inpatient Cognitive Behavioral Therapy: A Randomized Controlled Trial 19 May 2009Volume 150, Issue 10Page: JC5-2KeywordsBlood pressureClinical trial reportingClinical trialsDecision makingHealth careStrokeSystolic pressure ePublished: 19 May 2009 Issue Published: 19 May 2009 CopyrightCopyright © 2009 by American College of Physicians. All Rights Reserved.PDF DownloadLoading ...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.392
metaresearch head score (Gemma)0.781
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.608
Threshold uncertainty score0.750

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3920.781
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0120.006
Bibliometrics0.0100.008
Science and technology studies0.0050.020
Scholarly communication0.0240.047
Open science0.0100.008
Research integrity0.0340.027
Insufficient payload (model declined to judge)0.0540.033

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.216
GPT teacher head0.537
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2009
Admission routes2
Has abstractyes

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