Evidence Based dentistry Flashcards

1
Q

abstract

A
  • Condensed version of full paper
  • Structured abstracts outline important elements
    • Backgrounds/aim
    • Methods
    • Results
    • Conclusion
  • Good for screening but does not replace reading full paper
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2
Q

background/introduction

A
  • What do we already know?
  • What is not known?
  • Justification/rationale
  • Aims/objectives/hypotheses

Scan

Not important critical appraisal as not on methods or results

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3
Q

materials and methods

A
  • KEY for critical analysis
  • Used PICO to define the research question
  • Sample size estimates
  • Statistical analysis
    • What tests and data manipulation
  • Randomised controlled trial
    • Randomisation method
    • Allocation concealment
    • Masking (blinding)
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4
Q

results

A

know aims, methods and controls already

Tables, charts and narratives

  • Study characteristics
    • Table 1 – what study population look like – should be similar on both side, can see if representative to your pts
  • Outcomes
  • Allows reader to judge how representative study sample is of target population

In RCTs – how balanced arms are

  • Do results favour intervention?
  • Is intervention better?
  • Estimate effect size
    • Risk difference
    • Risk ratio (relative risk)
    • Odds ratio
  • Precision of estimate - CI
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5
Q

discussion, conclusion and references

A
  • Context of study, given prior research
  • Implication of these results on health condition involved
  • Study limitations
    • The likelihood that chance, bias and confounding have influenced the findings
      • What else could have caused change
  • References
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6
Q

acknowledgment and sources of funding

A
  • Publication bias
  • Trials more likely to be published if
    • They produce positive results
    • They reflect well on a product
    • They are funded by industry
  • Do authors have a financial conflict of interests
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7
Q

CONSORT flow chart

A

Describes flow of participants through study

See consort guidelines

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8
Q

Evidence Based Dentistry

A
  • An approach to oral health care that requires the judicious integration of:
    • Systematic assessments of clinically relevant scientific evidence, relating to the patient’s oral and medical conditions and history, together with Dentist’s clinical expertise and the patient’s treatment needs and preferences

ADA

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9
Q

critical appraisal

A
  • The process of assessing and interpreting evidence through the systematic consideration of its validity, relevance and results
    • What are the studies strengths and weaknesses and can it be used to inform your practice?
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10
Q

why critically appraise research papers

A
  • To gain a full and in-depth understanding of a subject.
  • To see if your intended research subject has been done before and avoid duplication.
  • To avoid any errors made in similar research.
  • To enable you to place your study within its context (ie so that you can show how your research will add to the existing sum of knowledge).
  • To provide you with information with which to compare and contrast your findings.
  • To provide you with ideas to help you define or amend your own research topic.
  • To make sure that your ‘on the right track’ !
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11
Q

what decisons need to be made of evidence based dentistry

A

all clinical decisions

e.g

  • Placing a stainless-steel crown Vs conventional restoration (GIC, composite)?
  • Analgesia before treatment to reduce post-operative pain?
  • Powered versus manual toothbrush?
  • Recommending flossing to your patients?
  • Is there any difference in effectiveness when undertaking root canal treatment in one visit compared to over several visits?
  • What are the effects on pain and complications?
  • What is the optimal interval for dental check-ups?
    • 6 months – but what’s the evidence
  • How effective are non-pharmacological interventions to manage orthodontic pain?
    • Laser irradiation; laser devices; chewing patterns; brain-wave music; text messages

Does it differ for different pt groups? E.g. elderly Vs adult Vs child Vs special needs

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12
Q

RCT

A

Randomised Controlled Trials

  • For research questions about effectiveness of one treatment compared to another RCTs are considered the gold standard study design (primary)
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13
Q

CASP Checklist

A

different tools for different types of studies

checklist for critical appraisal

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14
Q

3 main issues to consider when critically appraising

A

Are the results of the trial valid?

  • Focussed question (PICO)
  • Conduct of study (randomization, blinding, allocation concealment, flow of participants)

What are the results?

  • Effect of treatment – what has been measured? what direction? How large?
  • Precision - CIs

Are the results relevant to your clinical practice?

  • Generalizable – people in trial reflect your pts
  • Clinically important outcome measures
  • Adverse effects/ harms?
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15
Q

did the trial address a clearly foccussed issue?

(making it valid)

A

SHOULD BE CLEAR AND SPECIFIC

  • Population
  • Intervention
  • Comparison
  • Outcome
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16
Q

PICO

A

Population

Intervention

Comparison

Outcome

17
Q

how to assess if paper valid to you?

A

does the defined PICO match your patient population

18
Q

how to assess if results valid

A
  • Was the assignment of treatments to patients randomized?
  • Were all of the patients who entered the trail accounted for at its conclusion?
  • Were patients, health workers and study personnel “blind” to treatment?
  • Were the groups similar at the start of the trial?
  • Aside from the experimental intervention, were the groups treated equally?
19
Q

CONSORT Flow

A

flow participants from randomisation to results

  • Want to know that those that are initially randomised into the trial have the outcome measure

Occasional drop outs OK

Need to check systematic drop outs

  • e.g. deaths – check not as consequence of intervention
  • Were all of the patients who entered the trail accounted for at its conclusion?*
  • affect validity*
20
Q

importance of study personnel and HCP ebing ‘blind’ to treatment

A
  • Not unknowingly placing bias/influencing results
    • Less likely blinded more likely to get large effects on forrest plot
    • Try to mask personnel as far as possible – can be hard – for more fair results

affect validity

21
Q

how to check if radomised groups similar at start of trial

A

table 1

run down of characteristics of people at start of trial

Want to be balanced – should be done by randomisation but check

affect validitiy

22
Q

bar the experimental intervention - were the groups equally treated?

A

affects validity

  • If more than one intervention, then cannot deem it down to one thing*
  • Everything else needs to be similar bar one*
    e. g.

RCT for ankle bracelets for monitoring alcohol

  • Intervention group
    • “anklet”
    • Counselling
  • Control group
    • TAU

F varnish to prevent caries

  • Intervention
    • Twice yearly application of FV at dentist
    • Dentist will deliver dietary advice and OHI at each visit
  • Control
    • TAU (attend dentist as routine)
23
Q

results - look at

A

difference between 2 groups results

e. g. absolute risk difference with CIs
* Need this 2:2 contingency table to get this information*

24
Q

Absolute risk difference

A
  • Difference in risk between groups

Risk in paracetamol group= 40/63= 63%

Risk in placebo group=5/27= 18%

Risk Difference = 63% - 18% = 45%

  • 45% more patients experienced pain relief in the paracetamol group
    *
25
Q

confidence intervals

A

The range of values the ARD will take in the population

  • 95 times out of 100 the CI will contain the TRUE population ARD

What value would ARD take if there was no benefit of paracetamol over placebo?

  • 0 (value of no difference)
    • So 95% CI should not overlap “0”

ARD= 45%

  • 95% CI= [30% to 55%] never have to calculate this – should be given
    • “Sufficient evidence”
26
Q

value of no difference

A

0

CI cannot overlap 0 = insufficient evidence

27
Q

number needed to treat

NNT

A

The number of patients you would need to treat to prevent one patient from developing the disease/ condition/ outcome

  • Numerically:
    • 1/ Absolute Risk Difference

NNT for paracetamol = 1/ 0.45 = 2.22

  • Would need to treat 3 people with paracetamol post-operatively to have one person experience pain relief of >50% in 4 hours
    • Compare to NNT for statins ~ 33 (paracetamol has a good NNT)
28
Q

advantages of split mouth design

A
  • Each participant acts as own control-reduces inter-individual variation
  • Therefore, fewer participants are required to obtain same study power as parallel group
  • Every participant receives each intervention, therefore good for determining preferences
    • Experience both
29
Q

split mouth design

A

Control treatment and intervention in the same mouth

  • Caries in both sides of arch – randomise the side of mouth getting intervention compared to TAU
    e. g. Lower arch with Hall PMC on tooth 85 (LRE) and Control restoration (mesio-occlusal composite) in tooth 75 (LLE).
30
Q

possible disadvantages of split mouth design

A
  • Carry-across effects (“leakage”)
    • E.g. toothpastes, mouthwashes
  • Selection of patients (need to have matching carious teeth) might limit external validity
    • May not have appropriate carious sites
  • Statistical analysis more sophisticated, and is usually not done!

Own control and intervention – can be missed in analysis

31
Q

what happens when some study participants drop out before the end of trial or switch treatment?

A

Eg RCT for a tooth bleaching agent

  • Participants randomized to NEW agent or Current market leader
    • A few participants who were randomized to the NEW agent do not like the bad taste and go to their own dentist and ask for the current market leader
      • Switched but didn’t inform you at point
      • Can occur by mistake – need ways to analyse

Intention to treat (ITT) should be clear how many people have switched treatments

  • Analyse the data as though the switchers were still in the NEW agent group
    • More conservative (PREFERRED)
  • Pragmatic- in real life this will happen
  • Drop outs
    • Can impute data
    • (LOCF/ BOCF)

Per Protocol

  • Analyse the data according to the treatment actually received
  • Efficacy to explain the effects of the intervention itself
32
Q

stats that can be used in results

A
  • Absolute risk differences
  • CIs (+/- 95%)
  • Odds ratio (OR)
  • Relative risk, or risk ratio (RR)
  • Percent risk reduction, or relative risk reduction (RRR)
  • Risk difference, or absolute risk reduction (RD)
  • Number needed to treat (NNT) (1/RD)
33
Q

preferred method to use is participants drop out or switch Tx

A

Intention to treat (ITT) should be clear how many people have switched treatments

  • Analyse the data as though the switchers were still in the NEW agent group
    • More conservative (PREFERRED)
  • Pragmatic- in real life this will happen
  • Drop outs
    • Can impute data
    • (LOCF/ BOCF)