Literature DB >> 10838653

Users' guides to the medical literature: XX. Integrating research evidence with the care of the individual patient. Evidence-Based Medicine Working Group.

F A McAlister1, S E Straus, G H Guyatt, R B Haynes.   

Abstract

Clinicians can use research results to determine optimal care for an individual patient by using a patient's baseline risk estimate, clinical prediction guidelines that quantitate an individual patient's potential for benefit, and published articles. We propose that when clinicians are determining the likelihood that treatment will prevent the target event (at the expense of adverse events) in a patient that they also incorporate the patient's values. The 3 main elements to joint clinical decision making are disclosure of information about the risks and benefits of therapeutic alternatives, exploration of the patient's values about both the therapy and potential outcomes, and the actual decision. In addressing the patient's risk of adverse events without treatment and risk of harm with therapy, clinicians must recognize that patients are rarely identical to the average study patient. Differences between study participants and patients in real-world practice tend to be quantitative (differences in degree of risk of the outcome or responsiveness to therapy) rather than qualitative (no risk or adverse response to therapy). The number needed to treat and number needed to harm can be used to generate patient-specific estimates relative to the risk of the outcome event. Clinicians must consider a patient's risk of adverse events from any intervention and incorporate the patient's values in clinical decision making by using information about the risks and benefits of therapeutic alternatives. JAMA. 2000;283:2829-2836

Entities:  

Mesh:

Year:  2000        PMID: 10838653     DOI: 10.1001/jama.283.21.2829

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  33 in total

1.  An informatics infrastructure is essential for evidence-based practice.

Authors:  S Bakken
Journal:  J Am Med Inform Assoc       Date:  2001 May-Jun       Impact factor: 4.497

2.  Evidence-based medicine: a commentary on common criticisms.

Authors:  S E Straus; F A McAlister
Journal:  CMAJ       Date:  2000-10-03       Impact factor: 8.262

3.  Why randomized controlled trials fail but needn't: 2. Failure to employ physiological statistics, or the only formula a clinician-trialist is ever likely to need (or understand!).

Authors:  D L Sackett
Journal:  CMAJ       Date:  2001-10-30       Impact factor: 8.262

Review 4.  Case report of paroxysmal atrial fibrillation and anticoagulation.

Authors:  Shmuel Reis; Doron Hermoni; Pnina Livingstone; Jeffrey Borkan
Journal:  BMJ       Date:  2002-11-02

Review 5.  Searching for evidence-based medicine in the literature. Part 3: Assessment.

Authors:  Barbara A Bartkowiak
Journal:  Clin Med Res       Date:  2005-05

6.  A randomized effectiveness trial of a clinical informatics consult service: impact on evidence-based decision-making and knowledge implementation.

Authors:  Shelagh A Mulvaney; Leonard Bickman; Nunzia B Giuse; E Warren Lambert; Nila A Sathe; Rebecca N Jerome
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

7.  The "number needed to treat" turns 20--and continues to be used and misused.

Authors:  Finlay A McAlister
Journal:  CMAJ       Date:  2008-09-09       Impact factor: 8.262

8.  A randomized comparison of patients' understanding of number needed to treat and other common risk reduction formats.

Authors:  Stacey L Sheridan; Michael P Pignone; Carmen L Lewis
Journal:  J Gen Intern Med       Date:  2003-11       Impact factor: 5.128

9.  Changes in serum potassium mediate thiazide-induced diabetes.

Authors:  Tariq Shafi; Lawrence J Appel; Edgar R Miller; Michael J Klag; Rulan S Parekh
Journal:  Hypertension       Date:  2008-11-03       Impact factor: 10.190

10.  A tool to balance benefit and harm when deciding about adjuvant therapy.

Authors:  A M Knops; A Goossens; M P M Burger; L J A Stalpers; D T Ubbink
Journal:  Br J Cancer       Date:  2009-03-24       Impact factor: 7.640

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