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Associate Fellow, Centre for Evidence-based Medicine, Oxford

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Presentation on theme: "Associate Fellow, Centre for Evidence-based Medicine, Oxford"— Presentation transcript:

1 Associate Fellow, Centre for Evidence-based Medicine, Oxford
Therapies Dr Bob Phillips Associate Fellow, Centre for Evidence-based Medicine, Oxford

2 Therapy Ask a question Acquire some articles Appraise the evidence
Apply the findings Assess your performance Repeat – SPIRAL learning Five steps Main learning area highlighted Then … Describe clinical scenario Story of a baby irrascible, unsettled, crying awkwardly and ?drawing up legs/pulling at ears Typanic temperature 37.4 but looked slightly iffy. Repeated cases of tympanics being ??, esp. as new US colleague obsessed wqith sticking thermometers up bottoms.

3 Therapies To treat or not to treat? Validity Importance Applicability
Explain there is a condition known as Higgenbottom’s Syndrome Makes people drink excessive amounts of alcohol and fight in pubs Trials recently with a therapy, Balay, which had been shown to look promising in animal experiments A new paper published -J Dance Therapeutics - and you want to know if you invest in setting up the treatment programme Validity - is the paper likely to be true Importance - size of effect Applicability - can it work for me/my setting

4 Therapies Validity Was it randomised? Was the allocation concealed?
Were the all the subjects analysed correctly? Was it blinded? Were the groups similar? Validity randomisation - bias concealment - bias analysis - how many - 80% rule of thumb why? Drop out make it insecure -- too bad to work through / side effects? Psych -- new antipsychotic -- appears to work but V low follow up -- why? -- side effects intolerable, people stopped taking it and stopped attending medical clinics ITT analysis - avoid the problems of having really bad ones transferred out of experimental group (or into experimental group) Stroke / carotid trials -- swapped out of the surgery arm cause too crock Neonates -- swapped into oscillatory ventilation as rescue strategy blinding - diff twix blind and concealed started equally - lots of very old people in a stroke trial? More boys in asthma? treated equally - asthma trial - ventolin vs ventolin/atrovent -- if ventolin arm more got steroid then reduced effectiveness of ipratropium

5 Therapies Importance What were the results? Over what time period?
With what precision? What were the results? What was the outcome -- important? How long did it take - esp important in comparisions (talk about how later …) What precision - ‘p’ vs CI Clinical and statistical significance

6 Therapies Number needed to treat Relative risk reduction
Absolute risk reduction Event rates Basic EBM number building block NOT statistics - just adding up, taking away and dividing back to Balay draw table Fighting Reading Camus Balay 10 40 Normal 35 15

7 Therapies Event rates Control event rate (CER)
n with event / total Control event rate (CER) Experimental event rate (EER) Work though EER (balay) = 0.2 CER (normal) = 0.7

8 Therapies Absolute risk reduction Relative risk reduction
difference in two event rates CER - EER = ARR Relative risk reduction proportion of control rate CER-EER / CER = RRR ARR = = 0.5 RRR = 0.5 / 0.7 ~ 70%

9 Therapies Number needed to treat
number of extra patients you need to treat to prevent one bad outcome 1 / ARR = NNT Work it out 1 / 0.5 = 2 explain its for every two people in Balay, then one will not fight who would have done if left in the normal programme not that you have a 50% success rate interesting aside RRR same if instead of as above it was Fighting Reading Camus Balay 1 49 Normal EER = 0.02 CER = RRR~70% ARR=0.05 NNT=20

10 Therapies 95% confidence interval
range within which the true value falls with 95% confidence use computer (e.g. CATMaker) Point estimate of the truth Assume the truth is out there Bell shaped curve around the truth 95% why? Coins trick

11 Therapies Application Can it be applied to my patient?
Can it be done here? How do patient values affect the decision? Look at the differences between patients in trial and on street - too different? How different? - ‘f’ Is it feasible Do values matter - and how much? - look at the LBHH

12 Therapies Is it valid? Is it important? Does it apply? NNT for what
over how long with what precision Does it apply? summarise

13 Junior Fellow, Centre for Evidence-based Medicine, Oxford
Therapies Dr Bob Phillips Junior Fellow, Centre for Evidence-based Medicine, Oxford


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