Knowledge Why bother? - PowerPoint PPT Presentation

1 / 20
About This Presentation
Title:

Knowledge Why bother?

Description:

leave you feeling slightly better, and equipped with some ... Dismantling the misinformation in research papers. Why do we need to appraise research ourselves? ... – PowerPoint PPT presentation

Number of Views:22
Avg rating:3.0/5.0
Slides: 21
Provided by: RKUR8
Category:

less

Transcript and Presenter's Notes

Title: Knowledge Why bother?


1
KnowledgeWhy bother?
  • Alan, Gavin and Neil

2
Todays Aims and Objectives
  • To initially make you feel a bit uncomfortable
  • To make you think and get your brains cogs
    whirring
  • To (hopefully!) leave you feeling slightly
    better, and equipped with some practical tips
    that will help you in the exam, and your medical
    career

3
Medicine is an ocean of information
  • How do we keep ourselves from drowning in the
    continuous flow of information poured upon us in
    the form of journals, papers, textbooks, courses
    etc. ?

4
  • Discuss as a group possible strategies to keep
    updated

5
Some Practical Tips
  • You dont have to know everything
  • Limit yourself to a small number of relevant
    journals e.g. BMJ and BJGP
  • Scan the contents, read the abstracts/conclusions
    of papers, then go back in more detail later if
    necessary/relevant

6
Some Practical Tips
  • Do little and often
  • Try to set realistic goals
  • Try to learn around patients easier to
    retain/recall info
  • Sign up to GPnotebook tracker (or similar)
    keeps a record of your learning good for PDP

7
The truth, the whole truth, and nothing but the
truth?
  • Dismantling the misinformation in research papers

8
Why do we need to appraise research ourselves?
  • Dont believe what you are told by anyone
    (including me)
  • Spinning statistics is an industry standard
  • Scientists do it to get papers published
  • Governments do it to minimise expenditure
  • Big Pharma does it to get you to prescribe their
    drugs
  • Its important to know what you need to know
  • Too much exists out there to read everything
  • Discarding the rubbish is an important skill
  • In an information world, you are going to be
    relied on more often to give patients advice (in
    effect appraise their evidence)

9
Lies, damn lies and Statistics
  • You dont have to be able to do statistics to read
    a paper insightfully
  • There are a few key questions to ask about any
    research paper
  • Why was it done?
  • How was it done?
  • What havent they told you?
  • Do the results support the claims of the authors?

10
Its all relative, innit?
  • What does a Relative Risk mean? An example
  • Relative risk of coffee drinkers versus tea
    drinkers acquiring vCJD 0.70 (95 CI 0. 68 -
    0.72) (ref 1)
  • In plain English, I estimate coffee drinkers are
    30 less likely to acquire vCJD than tea
    drinkers.
  • My margin of error in this estimate lies between
    24-30 less likely to acquire vCJD (Im 95
    confident of this)
  • How would NESCAFE spin this information?

11
Its absolutely nothing.
  • Its ABSOLUTE RISK what matters
  • If risk of vCJD is 1 in 10 million for tea
    drinkers, and 1 in 7 million for coffee drinkers,
    would you really advocate every patient switching
    to coffee?
  • What if it was 1 in 10 tea drinkers, and 1 in 7
    coffee drinkers?
  • In both, the relative risk reduction is the same
    (30), but the absolute risk reduction is very
    different

12
Absolute risk
  • Coffee 1 in 10 million 0.000000010
  • Tea 1 in 7 million 0.000000014
  • The absolute risk reduction by switching from tea
    to coffee is the difference in rates
    0.000000004
  • How can we translate this into a meaningful
    figure for a patient to understand?

13
Numbers needed to treat (NNT)
  • This is the most valuable tool you have at your
    disposal for making sense of statistics
  • NNT 1/absolute risk reduction
  • In this example, it is the number of patients you
    need to switch from drinking tea to coffee to
    prevent 1 additional case of vCJD
  • NNT 250,000,000 (or the whole US population)

14
vCJD reference
  • A multi-centre nested case-control study of the
    effect of beverage consumption on vCJD risk
    analysis from the NESCAFE cohort study.
  • J. Swallow and P. Spitt (2006). Swedish Journal
    of Epidemiology, 43 69-99.
  • And if you swallowed that, you will swallow
    anything!

15
Part 1 Take home message
  • Beware studies that sell their message on
    relative risk reductions or improvements
  • Always try to determine what the absolute risk
    difference is
  • Convert this to NNT for a meaningful value you
    can explain to patients (or yourself)

16
Small group work
  • Split into 4 groups
  • Pharmaceutical reps
  • PCT pharmacy commissioners
  • GPs
  • Patients (this is the easy job!)
  • Look at the abstract of this paper on Clopidogrel
    versus Aspirin, published in The Lancet, and
    follow the briefing notes for each group

17
You have 15 mins
  • Work in groups to produce an argument for your
    case, and nominate a spokesperson to give a brief
    talk to the patient interest group.
  • The patient group must then vote to decide who
    gives the most convincing argument, and state
    what convinced them to vote that way.

18
How did it turn out?
  • The Drug reps will have pushed the relative risk
    rather than absolute risk, and side effect
    profile
  • The PCT will have highlighted the cost to prevent
    each additional MI (NNT) and suggested patients
    should not receive Plavix
  • The GPs will have been caught in the middle!
  • The patients will have found it difficult to see
    beyond their own interests

19
Notes from the full paper
  • In most cases, there was no significant
    difference in all cause mortality between the two
    treatment arms (not mentioned in abstract)
  • The side effect profile is similar with no
    differences
  • The study was funded by the makers of Plavix, and
    no conflict of interest was stated

20
Critical appraisal summary
  • Consider the motives behind presentation of
    results by the authors
  • Ask yourself if the study fits your patients
  • Ask yourself if there is a conflict of interest
  • Dont be frightened by high power statistics you
    should be able to ask the same question of any
    trial how many patients do I have to treat, and
    what is the cost to prevent one event.
Write a Comment
User Comments (0)
About PowerShow.com