Literature DB >> 11095272

Implications of trial results: the potentially misleading notions of number needed to treat and average duration of life gained.

J Lubsen1, A Hoes, D Grobbee.   

Abstract

Consider a physician advising a patient to start antihypertensive treatment. He has the unenviable task of presenting often conflicting trial data in a comprehensible manner. He must justly represent the known risks and benefits such that his patient can make a reasonably Informed choice. Should the physician cite the number needed to treat or the average duration of life gained to clarify his explanations?

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Year:  2000        PMID： 11095272     DOI： 10.1016/S0140-6736(00)03215-3

Source DB:  PubMed          Journal:  Lancet        ISSN： 0140-6736            Impact factor:   79.321


  8 in total

1.  What is the true number needed to screen and treat to save a life with prostate-specific antigen testing?

Authors:  Stacy Loeb; Edward F Vonesh; E Jeffrey Metter; H Ballentine Carter; Peter H Gann; William J Catalona
Journal:  J Clin Oncol       Date:  2010-12-28       Impact factor: 44.544

2.  Preventive health care in elderly people needs rethinking.

Authors:  Dee Mangin; Kieran Sweeney; Iona Heath
Journal:  BMJ       Date:  2007-08-11

3.  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

4.  A Lifetime of Allograft Function with Kidneys from Older Donors.

Authors:  Caren Rose; Elke Schaeffner; Ulrich Frei; Jagbir Gill; John S Gill
Journal:  J Am Soc Nephrol       Date:  2015-03-26       Impact factor: 10.121

Review 5.  The averted infections ratio: a novel measure of effectiveness of experimental HIV pre-exposure prophylaxis agents.

Authors:  David T Dunn; David V Glidden; Oliver T Stirrup; Sheena McCormack
Journal:  Lancet HIV       Date:  2018-06       Impact factor: 12.767

6.  Competing risks and the clinical community: irrelevance or ignorance?

Authors:  Michael T Koller; Heike Raatz; Ewout W Steyerberg; Marcel Wolbers
Journal:  Stat Med       Date:  2011-09-23       Impact factor: 2.373

7.  Number needed to treat (NNT) in clinical literature: an appraisal.

Authors:  Diogo Mendes; Carlos Alves; Francisco Batel-Marques
Journal:  BMC Med       Date:  2017-06-01       Impact factor: 8.775

Review 8.  Calculation of NNTs in RCTs with time-to-event outcomes: a literature review.

Authors:  Mandy Hildebrandt; Elke Vervölgyi; Ralf Bender
Journal:  BMC Med Res Methodol       Date:  2009-03-20       Impact factor: 4.615
  8 in total

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