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Pharmacoepidemiology Study design Information bias & selection bias Rob Heerdink
Dr Rob Heerdink Pharmacoepidemiology & Pharmacotherapy Utrecht Institute for Pharmaceutical Sciences Universiteit Utrecht The Netherlands www.pharm.uu.nl/epithera
 
Drug development discovery Discovery & screening Proof of Concept first administration to man registration & launch approx.  10-12 years 10,000 Pre-clinical development 15-30 Fase I/IIa 10-15 Fase IIb/III 1 5 preclinical clinical (I-III) phase IV
Relevant questions in practice following registration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DOMAIN Determinant(s) Endpoint(s) time ,[object Object],[object Object],[object Object],Study design
Research designs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hierarchy of designs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Study design Past   Present    Future Retrospective Cohort Prospective Cohort Case-Control (retrospective) Cross-sectional
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Source population Randomisation Index group Control group Follow-up Follow-up Outcome Outcome In- and exclusion criteria Method, blinding Prognostically comparable Treatment Double blind Loss-to-follow-up Blinded measurement of outcome
Pharmacoepidemiological designs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evaluation of therapy: golden standard Randomised Controlled Clinical Trial (RCT) Randomise: why?  Controlgroup: why? Blinding: why? Goal: Only difference between treated and untreated  group is the treatment
Experiments are often impossible Ethical (e.g. smoking, birth defects) Practical (e.g. rare adverse effects) Non-experimental (observational) research For example: Do animals bite more often during full moon?
Do animals bite more during a full moon? Bhattacharjee C et al. BMJ 2000;321:1559-61
Observational studies Past   Present    Future Retrospective Cohort Prospective Cohort Case-Control (retrospective) Cross-sectional
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Lancet, 1961
LETTER TO THE EDITOR THALIDOMIDE AND CONGENITAL ABNORMALITIES Sir, Congenital disorders are present in  approximately 1.5% of babies. In recent months  I have observed that the incidence of multiple  severe abnormalities in babies delivered of  women who were given the drug thalidomide  ('Distaval') during pregnancy,as an anti-emetic  or as a sedative, to be almost 20%. Have any of your readers seen similar  abnormalities in babies delivered of women  who have taken this drug during pregnancy? McBride WG. The Lancet, December 16, 1961: page 1358
Dwarsdoorsnede onderzoek  beschrijft een karakteristieke relatie tussen determinant en uitkomst op 1 moment in de tijd Causaliteit?
 
Voorbeeld  dwardoorsnede onderzoek Polymorphisms of the LEP- and LEPR gene and obesity in patients using antipsychotic medication Gregoor et al  J Clin Psychopharmacol (2009) Onderzoeksvraag:  zijn polymorfismen in de LEPR geassocieerd met hoger BMI in antipsychotica gebruikers? Studie opzet:  dwarsdoorsnede onderzoek
Voorbeeld :  LEPR onderzoek Populatie: 200 antipsychotica gebruikers Determinanten:  LEPR  Q223R en  LEP  promoter 2548G/A SNP polymorfismen Uitkomst: BMI
** p<0.05 Voorbeeld :  LEPR onderzoek N BMI>30 Males QQ 30 6 (20%) QR 73 16 (21%) RR 31 8 (26%) Females QQ 17 12 (71%) ** QR 39 15 (39%) QR 10 4 (40%)
Observational Cohort ,[object Object]
Cohort study / Follow-up study Study population Exposed Non-exposed Disease + Disease + Disease - Disease -
Voorbeeld cohort onderzoek ,[object Object],[object Object],[object Object]
Switchers: 13,6% therapie-ontrouw Niet switchers: 18,7% therapie-ontrouw  Van Wijk et al 2006
A cohort study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Merlo J, et al. BMJ 1996;313:457-61.
Another cohort study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Klungel et al. Epidemiology 2001;12:339-34 4.
Frequency measures cohort study (P1 personyears) (P0 personyears) A1 A0 Exposure No Exposure Disease Disease No disease Time Time No disease (B1) (B0)
Frequency measures ,[object Object],[object Object],[object Object]
Risk disease + | exposure + = A1 / N1 = CI 1   Risk disease + | exposure -  = A0 / N0 = CI 0 Frequency measures cohort study Disease No disease Total Exposure + A1 B1 N1 - A0 B0 N0
Force of morbidity | exposure + = A1 / P1 = IC 1   Force of morbidity | exposure - = A0 / P0 = IC 0 Frequency measures cohort study Disease Personyears Exposure + A1 P1 - A0 P0
Effect measures cohort study
Pill and Deep Venous Thrombosis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analysis cohort study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Kaplan Meier
Prospective vs. retrospective Cohort Studies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Selection of the Exposed Population ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Selection of the Comparison Population ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Follow up study versus RCT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Follow-up studies more vulnerable to bias
Cohort study / Follow-up study Study population Exposed Non-exposed Disease + Disease + Disease - Disease -
Case-control study Study Population Cases Controls Exposed Non-exposed Exposed Non-exposed
Example case-control study ,[object Object],[object Object],[object Object],[object Object]
Coogan et al. Am J Epidemiol 2005
Meaning of odds and odds ratio ? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Case Control Exposure + a b - c d a+c b+d Exposure odds among cases = a/c Exposure odds among controls = b/d Exposure Odds ratio (OR) = (a/c) / (b/d)   = (a*d) / (b*c)    RR Calculation OR
Rofecoxib and risk of MI ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Selection of cases ,[object Object],[object Object],[object Object],[object Object]
Selection of cases ,[object Object],[object Object],[object Object],[object Object]
Selection of Controls ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Selection of Controls ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ascertainment of outcome and exposure status ,[object Object],[object Object],[object Object],[object Object]
Data Collection External Data Sources Internal Data Sources Exposure Hospital records, employers Questionnaires, physical examinations, and/or blood tests, other diagnostic tests Event Disease registries, death certificates, physician and hospital records  Questionnaires, physical examinations, and/or blood tests, other diagnostic tests Confounder Hospital records registries Questionnaires, physical examinations
Strengths in Cohort vs. Case-control? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Limitations in Cohort vs. Case-control? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Validiteit + Precisie -
Validiteit - Precisie +
Validiteit + Precisie +
Validiteit - Precisie -
Precisie en validiteit  (vertekende resultaten)   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Power and precision
Sample size in case-control  study of OC use and MI among women ,[object Object],[object Object],[object Object]
Sample size requirement in RCT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The likelihood of observing an adverse drug reaction in 2,000 patients Threshold for ADR Probability 1 / 500 0.98 (Lymphoma From Azathioprine)  1 / 1,00 0.86 (Eye Damage From Practolol)   1 / 10,000 0.18 (Anaphylaxis From Penicillin)   1 / 50,000 0.04  (Aplastic Anemia From Chloramphenicol)   Lembit Rägo, WHO Upsala
Validiteit van onderzoek ,[object Object],[object Object],[object Object],[object Object]
Soorten van selectie- en informatiebias ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],selectie informatie
Information bias (follow-up) ,[object Object],[object Object],Information bias (if RR = 1 probably no bias; if RR>1 cave bias)
Selecti on  bias  (cohort) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Merlo J, et al. BMJ 1996;313:457-61.
Selecti on  bias  (cohort) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Klungel et al. Epidemiology 2001;12:339-34 4.
Case control Time Time Exposure No exposure Exposure No exposure Case (disease) Control (no disease)
Selection of controls ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information bias (case-control) ,[object Object],[object Object],[object Object],[object Object]
Selection bias (case-control) I ,[object Object],[object Object],[object Object],[object Object],[object Object]
Selection bias (case-control) II ,[object Object],[object Object],[object Object],[object Object],[object Object]
Methoden om voor vertekende  resulaten te corrigeren ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Risk assessment
 
 
 
Registration of a drug is only the beginning of safety research email: e.r.heerdink@uu.nl twitter: @robheerdink www.slideshare.net/robheerdink

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Pharmacoepidemiology study design information bias selection bias

  • 1. Pharmacoepidemiology Study design Information bias & selection bias Rob Heerdink
  • 2. Dr Rob Heerdink Pharmacoepidemiology & Pharmacotherapy Utrecht Institute for Pharmaceutical Sciences Universiteit Utrecht The Netherlands www.pharm.uu.nl/epithera
  • 3.  
  • 4. Drug development discovery Discovery & screening Proof of Concept first administration to man registration & launch approx. 10-12 years 10,000 Pre-clinical development 15-30 Fase I/IIa 10-15 Fase IIb/III 1 5 preclinical clinical (I-III) phase IV
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  • 9. Study design Past Present Future Retrospective Cohort Prospective Cohort Case-Control (retrospective) Cross-sectional
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  • 11. Source population Randomisation Index group Control group Follow-up Follow-up Outcome Outcome In- and exclusion criteria Method, blinding Prognostically comparable Treatment Double blind Loss-to-follow-up Blinded measurement of outcome
  • 12.
  • 13. Evaluation of therapy: golden standard Randomised Controlled Clinical Trial (RCT) Randomise: why? Controlgroup: why? Blinding: why? Goal: Only difference between treated and untreated group is the treatment
  • 14. Experiments are often impossible Ethical (e.g. smoking, birth defects) Practical (e.g. rare adverse effects) Non-experimental (observational) research For example: Do animals bite more often during full moon?
  • 15. Do animals bite more during a full moon? Bhattacharjee C et al. BMJ 2000;321:1559-61
  • 16. Observational studies Past Present Future Retrospective Cohort Prospective Cohort Case-Control (retrospective) Cross-sectional
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  • 19. LETTER TO THE EDITOR THALIDOMIDE AND CONGENITAL ABNORMALITIES Sir, Congenital disorders are present in approximately 1.5% of babies. In recent months I have observed that the incidence of multiple severe abnormalities in babies delivered of women who were given the drug thalidomide ('Distaval') during pregnancy,as an anti-emetic or as a sedative, to be almost 20%. Have any of your readers seen similar abnormalities in babies delivered of women who have taken this drug during pregnancy? McBride WG. The Lancet, December 16, 1961: page 1358
  • 20. Dwarsdoorsnede onderzoek beschrijft een karakteristieke relatie tussen determinant en uitkomst op 1 moment in de tijd Causaliteit?
  • 21.  
  • 22. Voorbeeld dwardoorsnede onderzoek Polymorphisms of the LEP- and LEPR gene and obesity in patients using antipsychotic medication Gregoor et al J Clin Psychopharmacol (2009) Onderzoeksvraag: zijn polymorfismen in de LEPR geassocieerd met hoger BMI in antipsychotica gebruikers? Studie opzet: dwarsdoorsnede onderzoek
  • 23. Voorbeeld : LEPR onderzoek Populatie: 200 antipsychotica gebruikers Determinanten: LEPR Q223R en LEP promoter 2548G/A SNP polymorfismen Uitkomst: BMI
  • 24. ** p<0.05 Voorbeeld : LEPR onderzoek N BMI>30 Males QQ 30 6 (20%) QR 73 16 (21%) RR 31 8 (26%) Females QQ 17 12 (71%) ** QR 39 15 (39%) QR 10 4 (40%)
  • 25.
  • 26. Cohort study / Follow-up study Study population Exposed Non-exposed Disease + Disease + Disease - Disease -
  • 27.
  • 28. Switchers: 13,6% therapie-ontrouw Niet switchers: 18,7% therapie-ontrouw Van Wijk et al 2006
  • 29.
  • 30.
  • 31. Frequency measures cohort study (P1 personyears) (P0 personyears) A1 A0 Exposure No Exposure Disease Disease No disease Time Time No disease (B1) (B0)
  • 32.
  • 33. Risk disease + | exposure + = A1 / N1 = CI 1 Risk disease + | exposure - = A0 / N0 = CI 0 Frequency measures cohort study Disease No disease Total Exposure + A1 B1 N1 - A0 B0 N0
  • 34. Force of morbidity | exposure + = A1 / P1 = IC 1 Force of morbidity | exposure - = A0 / P0 = IC 0 Frequency measures cohort study Disease Personyears Exposure + A1 P1 - A0 P0
  • 36.
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  • 40.
  • 41.
  • 42.
  • 43. Cohort study / Follow-up study Study population Exposed Non-exposed Disease + Disease + Disease - Disease -
  • 44. Case-control study Study Population Cases Controls Exposed Non-exposed Exposed Non-exposed
  • 45.
  • 46. Coogan et al. Am J Epidemiol 2005
  • 47.
  • 48. Case Control Exposure + a b - c d a+c b+d Exposure odds among cases = a/c Exposure odds among controls = b/d Exposure Odds ratio (OR) = (a/c) / (b/d) = (a*d) / (b*c)  RR Calculation OR
  • 49.
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  • 55. Data Collection External Data Sources Internal Data Sources Exposure Hospital records, employers Questionnaires, physical examinations, and/or blood tests, other diagnostic tests Event Disease registries, death certificates, physician and hospital records Questionnaires, physical examinations, and/or blood tests, other diagnostic tests Confounder Hospital records registries Questionnaires, physical examinations
  • 56.
  • 57.
  • 62.
  • 64.
  • 65.
  • 66. The likelihood of observing an adverse drug reaction in 2,000 patients Threshold for ADR Probability 1 / 500 0.98 (Lymphoma From Azathioprine) 1 / 1,00 0.86 (Eye Damage From Practolol) 1 / 10,000 0.18 (Anaphylaxis From Penicillin) 1 / 50,000 0.04 (Aplastic Anemia From Chloramphenicol) Lembit Rägo, WHO Upsala
  • 67.
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  • 71.
  • 72. Case control Time Time Exposure No exposure Exposure No exposure Case (disease) Control (no disease)
  • 73.
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  • 80.  
  • 81.  
  • 82. Registration of a drug is only the beginning of safety research email: e.r.heerdink@uu.nl twitter: @robheerdink www.slideshare.net/robheerdink