Literature DB >> 24722435

An inadvertent but explicable error in calculating number needed to treat for reporting survival data.

Sudhir K Bowry1, Volker Schoder2, Christian Apel3.   

Abstract

Keywords:  chronic renal disease; hemodialysis; survival

Mesh：

Year:  2014        PMID： 24722435      PMCID： PMC4005325          DOI： 10.1681/ASN.2014020188

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN： 1046-6673            Impact factor:   10.121


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  9 in total

Review 1.  Calculating the number needed to treat for trials where the outcome is time to an event.

Authors:  D G Altman; P K Andersen
Journal:  BMJ       Date:  1999-12-04

2.  Evidence-based nephrology: the case of contrast nephropathy.

Authors:  A K Ghosh
Journal:  Nephrol Dial Transplant       Date:  2000-03       Impact factor: 5.992

Review 3.  CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials.

Authors:  David Moher; Sally Hopewell; Kenneth F Schulz; Victor Montori; Peter C Gøtzsche; P J Devereaux; Diana Elbourne; Matthias Egger; Douglas G Altman
Journal:  Int J Surg       Date:  2011-10-12       Impact factor: 6.071

4.  Measures of effect: relative risks, odds ratios, risk difference, and 'number needed to treat'.

Authors:  G Tripepi; K J Jager; F W Dekker; C Wanner; C Zoccali
Journal:  Kidney Int       Date:  2007-07-25       Impact factor: 10.612

5.  Research: All journals need to correct errors.

Authors:  Jonathan D Linton
Journal:  Nature       Date:  2013-12-05       Impact factor: 49.962

6.  High-efficiency postdilution online hemodiafiltration reduces all-cause mortality in hemodialysis patients.

Authors:  Francisco Maduell; Francesc Moreso; Mercedes Pons; Rosa Ramos; Josep Mora-Macià; Jordi Carreras; Jordi Soler; Ferran Torres; Josep M Campistol; Alberto Martinez-Castelao
Journal:  J Am Soc Nephrol       Date:  2013-02-14       Impact factor: 10.121

7.  An assessment of clinically useful measures of the consequences of treatment.

Authors:  A Laupacis; D L Sackett; R S Roberts
Journal:  N Engl J Med       Date:  1988-06-30       Impact factor: 91.245

8.  The number needed to treat: a clinically useful measure of treatment effect.

Authors:  R J Cook; D L Sackett
Journal:  BMJ       Date:  1995-02-18

9.  Intensive glucose control improves kidney outcomes in patients with type 2 diabetes.

Authors:  Vlado Perkovic; Hiddo Lambers Heerspink; John Chalmers; Mark Woodward; Min Jun; Qiang Li; Stephen MacMahon; Mark E Cooper; Pavel Hamet; Michel Marre; Carl Erik Mogensen; Neil Poulter; Giuseppe Mancia; Alan Cass; Anushka Patel; Sophia Zoungas
Journal:  Kidney Int       Date:  2013-01-09       Impact factor: 10.612
  9 in total
  5 in total

1.  Number Needed to Treat with Vertebral Augmentation to Save a Life.

Authors:  J A Hirsch; R V Chandra; N S Carter; D Beall; M Frohbergh; K Ong
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-19       Impact factor: 3.825

2.  A Retrospective Cohort Study of Acute Kidney Injury Risk Associated with Antipsychotics.

Authors:  Yawen Jiang; Jeffrey S McCombs; Susie H Park
Journal:  CNS Drugs       Date:  2017-04       Impact factor: 5.749

3.  Number needed to treat: A primer for neurointerventionalists.

Authors:  Juan Carlos Martinez-Gutierrez; Thabele Leslie-Mazwi; Ronil V Chandra; Kevin L Ong; Raul G Nogueira; Mayank Goyal; Felipe C Albuquerque; Joshua A Hirsch
Journal:  Interv Neuroradiol       Date:  2019-06-27       Impact factor: 1.610

4.  Computing and interpreting the Number Needed to Treat for Cardiovascular Outcomes Trials : Perspective on GLP-1 RA and SGLT-2i therapies.

Authors:  Lisa Ludwig; Patrice Darmon; Bruno Guerci
Journal:  Cardiovasc Diabetol       Date:  2020-05-13       Impact factor: 9.951

5.  An alternative approach for estimating the number needed to treat for survival endpoints.

Authors:  Zhao Yang; Guosheng Yin
Journal:  PLoS One       Date:  2019-10-18       Impact factor: 3.240
  5 in total

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