Literature DB >> 11030691

Disease impact number and population impact number: population perspectives to measures of risk and benefit.

R F Heller1, A J Dobson.   

Abstract

Mesh：

Year:  2000        PMID： 11030691      PMCID： PMC1118742          DOI： 10.1136/bmj.321.7266.950

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  12 in total

1.  Guidelines and killer B's.

Authors:  D Sackett
Journal:  ACP J Club       Date:  1999 Jul-Aug

Review 2.  Numbers needed to treat derived from meta-analyses--sometimes informative, usually misleading.

Authors:  L Smeeth; A Haines; S Ebrahim
Journal:  BMJ       Date:  1999-06-05

3.  Intensified multifactorial intervention in patients with type 2 diabetes mellitus and microalbuminuria: the Steno type 2 randomised study.

Authors:  P Gaede; P Vedel; H H Parving; O Pedersen
Journal:  Lancet       Date:  1999-02-20       Impact factor: 79.321

Review 4.  Detection, adherence and control of hypertension for the prevention of stroke: a systematic review.

Authors:  S Ebrahim
Journal:  Health Technol Assess       Date:  1998       Impact factor: 4.014

Review 5.  Secondary prevention for ischemic heart disease. Relative numbers needed to treat with different therapies.

Authors:  D B Miller
Journal:  Arch Intern Med       Date:  1997-10-13

6.  Who benefits from medical interventions?

Authors:  G D Smith; M Egger
Journal:  BMJ       Date:  1994-01-08

7.  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

Review 8.  Number needed to screen: development of a statistic for disease screening.

Authors:  C M Rembold
Journal:  BMJ       Date:  1998-08-01

9.  A prospective study of acute cerebrovascular disease in the community: the Oxfordshire Community Stroke Project--1981-86. 2. Incidence, case fatality rates and overall outcome at one year of cerebral infarction, primary intracerebral and subarachnoid haemorrhage.

Authors:  J Bamford; P Sandercock; M Dennis; J Burn; C Warlow
Journal:  J Neurol Neurosurg Psychiatry       Date:  1990-01       Impact factor: 10.154

Review 10.  Indications for fibrinolytic therapy in suspected acute myocardial infarction: collaborative overview of early mortality and major morbidity results from all randomised trials of more than 1000 patients. Fibrinolytic Therapy Trialists' (FTT) Collaborative Group.

Authors: 
Journal:  Lancet       Date:  1994-02-05       Impact factor: 79.321
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  20 in total

1.  Risk of adverse birth outcomes near landfill sites. Evidence suggests that it is probably safe for fetuses to develop near landfill sites.

Authors:  H Irvine; H Burns
Journal:  BMJ       Date:  2001-12-08

2.  A population perspective to evidence based medicine: "evidence for population health".

Authors:  R F Heller; J Page
Journal:  J Epidemiol Community Health       Date:  2002-01       Impact factor: 3.710

3.  Treating the patient or the population? Part 2. Judging the benefit of a treatment to society as a whole.

Authors:  T D Heller; R F Heller; S Pattison; R Fletcher
Journal:  West J Med       Date:  2001-08

4.  Simple tools for understanding risks: from innumeracy to insight.

Authors:  Gerd Gigerenzer; Adrian Edwards
Journal:  BMJ       Date:  2003-09-27

Review 5.  Impact numbers: measures of risk factor impact on the whole population from case-control and cohort studies.

Authors:  R F Heller; A J Dobson; J Attia; J Page
Journal:  J Epidemiol Community Health       Date:  2002-08       Impact factor: 3.710

6.  Impact numbers in health policy decisions.

Authors:  J Attia; J Page; R F Heller; A J Dobson
Journal:  J Epidemiol Community Health       Date:  2002-08       Impact factor: 3.710

7.  Impact of upward social mobility on population mortality: analysis with routine data.

Authors:  Richard F Heller; Patrick McElduff; Richard Edwards
Journal:  BMJ       Date:  2002-07-20

8.  [Is it possible to calculate minimum provider volumes for total knee replacement using routine data? Results of a threshold value analysis of German quality assurance data for inpatient treatment].

Authors:  P Schräder; U Grouven; R Bender
Journal:  Orthopade       Date:  2007-06       Impact factor: 1.087

9.  Using and Interpreting Adjusted NNT Measures in Biomedical Research.

Authors:  Ralf Bender
Journal:  Open Dent J       Date:  2010-07-16

10.  Reducing mortality in severe sepsis with the implementation of a core 6-hour bundle: results from the Portuguese community-acquired sepsis study (SACiUCI study).

Authors:  Teresa Cardoso; António Henriques Carneiro; Orquídea Ribeiro; Armando Teixeira-Pinto; Altamiro Costa-Pereira
Journal:  Crit Care       Date:  2010-05-10       Impact factor: 9.097
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