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RHM1 Intro

RHM1 Intro

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Category: RHM1 Intro

Advantage: Some evidence of causality, multiple outcomes of a single exposure

Disadvantage: Expensive, inefficient for rare outcomes, require long term follow-up or  large population, cannot control unmeasured confounders

Incidence, RR, OR**

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Category: RHM1 Intro

Not all studies provide adequate data. Disadvantage.

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Category: RHM1 Intro

  • ‘‘Garbage in-garbage out”

–A meta-analysis is only as good as the studies in it

–Narrower confidence interval around combination of biased studies worse than the

–biased studies on their own

–Beware of reporting biases

  • “Mixing apples with oranges”

–Not useful for learning about apples, although useful for learning about fruit!

–Studies must address the same question

  • Though the question can, and usually must, be broader

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Category: RHM1 Intro

  • MC design in clinical research
  • Clinical study with 2 groups of treatment

–One group receives treatment A

–Another group receives treatment B

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Category: RHM1 Intro

Greatest statistical power

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Category: RHM1 Intro

  • Aim: causality between exposure and disease
  • Observation of 2 healthy groups of subjects over time

–One group is exposed to a specific substance

–Another group is not exposed

–Frequency of expected outcome is recorded

  • Relative risk: statistical parameter used in cohort studies

7 / 36

Category: RHM1 Intro

Advantage:

Greater statistical power, confirmatory data analysis

Greater ability to extrapolate to general population affected

Considered an evidence-based resource

Disadvantage:

Difficult and time-consuming to identify appropriate studies

Not all studies provide adequate data for inclusion and analysis

Requires advanced statistical techniques

Heterogeneity of study populations

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Category: RHM1 Intro

  • Each subject receives the intervention and control treatment in random order
  • Intervention and control treatment are separated by a washout period

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Category: RHM1 Intro

Disadvantages: Expensive, time-consuming, lost to follow-up.

Advantages: Measure causality, controls unmeasured confounders.

Statistics:** RR – relative risk, OR – odds ratio

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Category: RHM1 Intro

Only subjects are blinded to the treatment or intervention they receive

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Category: RHM1 Intro

Levels of Evidence and grades ( Level 1-5. Level 1 - highest and most trustworthy)

  • Method to determine clinical value of a study
  • Principle: some articles are more persuasive

A (good) 1a 1b Systematic review of RCTs Individual RCTs

B(fair) Systematic review of cohort studies, Individual cohort study, Systematic review of case-control study, Individual case-control study.

C(conflicting) case series

D(bit sufficient) Expert opinion or bench research

Individual cohort study

Systematic review of case-control study

Individual case-control study

 

 

 

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Category: RHM1 Intro

PICO method:

C O

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Category: RHM1 Intro

  • Focuses on a specific question
  • Uses explicit, pre-planned scientific methods to identify, select, appraise and summarize similar but separate studies

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Category: RHM1 Intro

  • Test for validity, reliability and clinical relevance
  • Tools for appraising research articles:

–Critical appraisal skills program (CASP)

–“Levels of evidence”

“Strength of recommendation

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Category: RHM1 Intro

  • OPTIONAL component of systematic reviews
  • Statistical method
  • Combines data from several studies to integrate findings
  • Possibility depends on “combinability” of studies
  • Greater statistical power

16 / 36

Category: RHM1 Intro

Direct participation of authors

Types: interventional (experimental) and non-interventional (observational)

17 / 36

Category: RHM1 Intro

Describes trends, cheap, easy

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Category: RHM1 Intro

Advantage: Rare outcomes, work backwards (outcome → exposure), can generate hypothesis (multiple risk factors explored)

Disadvantage: No causality (questionable relationship), selection bias, recall bias, no incidence or prevalence

Statistics: OR

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Category: RHM1 Intro

PICO method:

I

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Category: RHM1 Intro

  • Retrospective cohort

–Investigators start with disease

–“Go back in time” to detect exposure

  • Prospective cohort:

–Investigators start with exposed and unexposed groups

–Determine whether disease later occurs

21 / 36

Category: RHM1 Intro

Advantage: Fast, inexpensive, no loss to follow up, associations can be made

Disadvantage: Cannot study causality, cannot study rare outcomes, selection bias, self-reporting bias, response bias

Statistics: Prevalence

22 / 36

Category: RHM1 Intro

  • Researcher and participants are both aware of the treatment intervention

23 / 36

Category: RHM1 Intro

PICO method:

T

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Category: RHM1 Intro

Represent the highest level of evidence.

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Category: RHM1 Intro

PICO method:

P

 

  • Intervention or exposure
  • Comparison
  • Clinical Outcomes
  • Additional element: Time

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Category: RHM1 Intro

Small group of similar cases

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Category: RHM1 Intro

  • When more than one study has estimated a treatment effect or association
  • When the differences in the study characteristics are unlikely to affect the treatment effect (or when investigating specific differences)
  • When the treatment effect have been measured and reported in similar ways (or when the data are available)

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Category: RHM1 Intro

  • Method of blinding where both groups may receive placebo
  • Used when 2 treatments cannot be made identical

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Category: RHM1 Intro

  • CER is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care
  • The purpose of CER is to assist consumers, clinicians, purchasers, and policy makers to make informed decisions that will improve health care at both the individual and population levels

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Category: RHM1 Intro

Summarizes primary research sources, eg reviews, meta-analyses

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Category: RHM1 Intro

Both subjects and investigators are blind to the treatment or intervention

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Category: RHM1 Intro

  • Measure intervention effect
  • Randomly assign individuals to an intervention group or control group
  • Strongest study to determine cause-effect relation

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Category: RHM1 Intro

  • Investigators start with diseased and controls
  • They “go back in time” and determine whether exposure occurred

study that compares patients who have a disease or outcome of interest (cases) with patients who do not have the disease or outcome (control participants) and looks back retrospectively to compare how frequently the exposure to a risk factor is present in each group to determine the relationship between the risk factor and the disease.

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Category: RHM1 Intro

Eg, one group may receive treatment A and the placebo of treatment B, the other group would receive treatment B and the placebo of treatment A

Treatment consists of Drug A and indistinguishable Placebo A; drug B and indistinguishable placebo B. Patients then take either treatment A (Active drug A and placebo B) or treatment B (active drug B and placebo A).

 

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Category: RHM1 Intro

PICO method:

C

36 / 36

Category: RHM1 Intro

  • Observation at 1 specific point in time
  • Usually subset of population/all population
  • Determine prevalence of a problem
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