Literature DB >> 11297223

The feasibility of combining data from routine Hospital Discharge and Causes-of-Death Registers for epidemiological studies on stroke.

M Mähönen1, V Salomaa, I Keskimäki, V Moltchanov, J Torppa, A Molarius, J Tuomilehto, C Sarti.   

Abstract

We assessed the validity of hospital discharge data on stroke in Finland and the feasibility of linked hospital discharge and causes-of-death data for epidemiological studies using the FINMONICA Stroke Register as the reference. The results showed that such data can, with some caution, be used for incidence studies and for identifying first stroke events. They cannot, however, be used for assessing secular trends in all stroke events.

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Year:  2000        PMID： 11297223     DOI： 10.1023/a:1007697720131

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN： 0393-2990            Impact factor:   8.082


  6 in total

1.  Validation of stroke diagnosis in the National Hospital Discharge Register and the Register of Causes of Death in Finland.

Authors:  J M Leppälä; J Virtamo; O P Heinonen
Journal:  Eur J Epidemiol       Date:  1999-02       Impact factor: 8.082

2.  Identification of incident stroke in Norway: hospital discharge data compared with a population-based stroke register.

Authors:  H Ellekjaer; J Holmen; O Krüger; A Terent
Journal:  Stroke       Date:  1999-01       Impact factor: 7.914

3.  Validity of register data on acute myocardial infarction and acute stroke: the Skaraborg Hypertension Project.

Authors:  U Lindblad; L Råstam; J Ranstam; M Peterson
Journal:  Scand J Soc Med       Date:  1993-03

4.  Ten-year trends in stroke incidence and mortality in the FINMONICA Stroke Study.

Authors:  J Tuomilehto; D Rastenyte; J Sivenius; C Sarti; P Immonen-Räihä; E Kaarsalo; K Kuulasmaa; E V Narva; V Salomaa; K Salmi; J Torppa
Journal:  Stroke       Date:  1996-05       Impact factor: 7.914

5.  Accuracy of hospital discharge abstracts for identifying stroke.

Authors:  C L Leibson; J M Naessens; R D Brown; J P Whisnant
Journal:  Stroke       Date:  1994-12       Impact factor: 7.914

6.  Stroke incidence, case fatality, and mortality in the WHO MONICA project. World Health Organization Monitoring Trends and Determinants in Cardiovascular Disease.

Authors:  P Thorvaldsen; K Asplund; K Kuulasmaa; A M Rajakangas; M Schroll
Journal:  Stroke       Date:  1995-03       Impact factor: 7.914
  6 in total
  6 in total

1.  The effect of diabetes and stroke at baseline and during follow-up on stroke mortality.

Authors:  G Hu; P Jousilahti; C Sarti; R Antikainen; J Tuomilehto
Journal:  Diabetologia       Date:  2006-08-01       Impact factor: 10.122

Review 2.  Factors influencing the decline in stroke mortality: a statement from the American Heart Association/American Stroke Association.

Authors:  Daniel T Lackland; Edward J Roccella; Anne F Deutsch; Myriam Fornage; Mary G George; George Howard; Brett M Kissela; Steven J Kittner; Judith H Lichtman; Lynda D Lisabeth; Lee H Schwamm; Eric E Smith; Amytis Towfighi
Journal:  Stroke       Date:  2013-12-05       Impact factor: 7.914

3.  Development of coronary heart disease and ischemic stroke in relation to fasting and 2-hour plasma glucose levels in the normal range.

Authors:  Feng Ning; Lei Zhang; Jacqueline M Dekker; Altan Onat; Coen D A Stehouwer; John S Yudkin; Tiina Laatikainen; Jaakko Tuomilehto; Kalevi Pyörälä; Qing Qiao
Journal:  Cardiovasc Diabetol       Date:  2012-06-25       Impact factor: 9.951

4.  Registration of acute stroke: validity in the Danish Stroke Registry and the Danish National Registry of Patients.

Authors:  Cathrine Wildenschild; Frank Mehnert; Reimar Wernich Thomsen; Helle Klingenberg Iversen; Karsten Vestergaard; Annette Ingeman; Søren Paaske Johnsen
Journal:  Clin Epidemiol       Date:  2013-12-23       Impact factor: 4.790

5.  Socioeconomic gap between neighborhoods of Budapest: Striking impact on stroke and possible explanations.

Authors:  Ildikó Szőcs; Dániel Bereczki; András Ajtay; Ferenc Oberfrank; Ildikó Vastagh
Journal:  PLoS One       Date:  2019-02-20       Impact factor: 3.240

6.  Charlson Comorbidity Index Based On Hospital Episode Statistics Performs Adequately In Predicting Mortality, But Its Discriminative Ability Diminishes Over Time.

Authors:  Juho Pylväläinen; Kirsi Talala; Teemu Murtola; Kimmo Taari; Jani Raitanen; Teuvo L Tammela; Anssi Auvinen
Journal:  Clin Epidemiol       Date:  2019-10-18       Impact factor: 4.790
  6 in total

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