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This website will cover such topics as: Hospital Doctor Publications, Essential statistics for medical research, Parametric and non-parametric statistics, Practical statistics for clinicians, What are confidence intervals? Non-parametric statistics, study designs and endpoints, hierarchy of study designs, Heterogeneity in systematic reviews, How to read a medical paper, Statistical tests for continuous data, Chi-squared test, Diagnostic tests, Sample size calculation, Power of a study, Type 1 and Type 2 errors, Sample size for categorical data, Sample size for continuous data, How to read an economic paper, Clinical Statistics for clinicians course, How to make abstracts tell the story in the paper,

How to present a randomised controlled study paper, How to present an observational study paper, How to present a systematic review paper. These courses for doctors are designed to build confidence and ability in doctors and assist them in the practical use of Medical statistics in their day to day working life.

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    Feb 2009

     

     

    Courses for Doctors - learn medical statistics

     

    How to present a Systematic Review Article

     

    Most doctors in training have to sit exit examinations that enable them to train further as specialists such as physicians, surgeons, psychiatrists and gynaecologists or as GP’s. Increasingly these exit examinations include a section on statistics, critical appraisal and presentation.
    This paper gives a format for presentation of a research publication such as a ‘systematic review article’ in examinations and routine clinical meetings.

     

    How to present a Systematic Review Article

     

    Remember to score points with headings

     

    Title: The title of my paper is……………………………………………..

     

    Study design: This is a systematic review of observational studies. The expectation is that the SR will show the available evidence on this topic and guide further studies.

    OR

    This is a systematic review of Randomised Controlled Trials. The expectation is that the SR will quantify the strength of the available evidence and provide precise point estimates of the treatment effects on the outcome [Note: this means that the larger total sample size will give narrower confidence intervals around the result]

    OR

    This is a systematic review of a mixture of observational studies and RCTs.

    1.      The expectation is that the SR of the observational studies will show the available evidence on this topic and guide further studies.

    2.      The expectation is that the SR of the RCTs will quantify the strength of the available evidence and provide precise point estimates of the treatment effects on the outcome [meaning tighter confidence intervals around the result].

    3.      There is no reliable expectation when the results of observational studies [Odds ratio] have been combined with results of RCTs [Relative risk].

     

    Setting:

    The study was reported from…………

     

    Hypothesis testing:

    For SR of RCTS –

    The null hypothesis was that there were no differences in the main outcomes between the compared treatments.

    The SR looked at other outcomes which the individual studies could not reliably do because of small sample sizes. The review had a better sample size to look at these outcomes.

     

    For SR of observational studies –

    This review did not have a specific hypothesis, and it was not expected to have one because it was meant to gather the available evidence to formulate a hypothesis for a future study.

     

    Methods:

    The methodology was satisfactory because it clearly detailed the ingredients of a systematic review:

    1.      Formulation of the research question:

    Inclusion, exclusion, participants, interventions, comparisons, outcomes, study designs and methodological quality.

    2.      Locating and selecting studies

    Search strategy, searching electronic databases, reference lists, hand searching and personal communication.

    3.      Critical appraisal of studies

    Eligibility checks > 1, strategy to resolve disagreements, keeping a log of excluded studies and reasons for exclusions.    

    4.      Analysing and interpreting results

    Data extraction, tabulation, forest plots, heterogeneity, limitations, strength of evidence, applicability and publication.

    OR

    The methodology was NOT satisfactory because it DID NOT clearly detail the ingredients of a systematic review such as: 

    1.      Formulation of the research question:

    Inclusion, exclusion, participants, interventions, comparisons, outcomes, study designs and methodological quality.

    2.      Locating and selecting studies:

    Search strategy, searching electronic databases, reference lists, hand searching and personal communication.

    3.      Critical appraisal of studies:

    Eligibility checks > 1, strategy to resolve disagreements, keeping a log of excluded studies and reasons for exclusions.    

    4.      Analysing and interpreting results:

    Data extraction, tabulation, forest plots, heterogeneity, limitations, strength of evidence, applicability and publication.

     

    [Note: In reality the systematic review will detail some of these and fail in others. You will have to make a judgement on whether it was satisfactory or not. IT DOES NOT MATTER WHAT TO DECIDE – REMEMBER YOU JUST WANT TO SCORE POINTS BY POINTNIG OUT WHAT SHOULD HAVE BEEN INCLUDED]

     

    Results:

    I shall present the findings in the main outcome.

     

    The forest plot in Table X

    1.      The studies that compared drug A to drug B.

    2.      The outcome was ‘pregnancy rate’

    3.      There were 5 studies, with a total sample size of .......

     

    In the total population of 360 patients [170 in Group A and 190 in Group B]:

    1.      66% of patients on Drug A compared to 33% on Drug B became pregnant. The RR of pregnancy was 1.65, 95% CI was 1.33 to 1.81.

    a.       As the 95% CI did not include 1, this result is statistically significant

    OR

    b.      66% of patients on Drug A compared to 55% on Drug B became pregnant. The RR of pregnancy was 1.35, 95% CI was 0.86 to 2.33.

    As the 95% CI included 1, this result was NOT statistically significant.

    2.      The test of heterogeneity shows a p-value which is > 0.05, so the subjects in the 5 studies were similar or homogenous

    a.       Therefore the outcome effect, that is, pregnancy will only occur in the type of subjects recruited into the studies

    OR

    b.      The test of heterogeneity shows a p-value which is < 0.05, so the subjects in the 5 studies were dissimilar or heterogenous

                                                                               i.      Therefore the outcome effect, that is, pregnancy can be expected in a generalised group [or the results can be generalised]

     

    What are the weaknesses?

    A SR of observational studies that has included a meta-analysis:

    This is a major weakness because it will have combined observational studies which are prone to bias and confounding. Even if each of the studies has attempted to minimise bias and confounding, META-ANALYSIS will add ‘salt to injury’ when it attempts to combine the studies.

     

    What are the strengths?

    A SR of RCTs that has included a meta-analysis:

    1.      This would give a precise estimate of the treatment effect in the population. Remember this population answer is UNKNOWN, and we are trying to estimate it. The larger sample size helps towards this.

    2.      RCTs are handicapped by the weakness that the study population is usually homogenous by the clear selection criteria. This limitation of this is that the results cannot be generalised.

    When RCTs are combined in a SR, this give s an opportunity to include a diverse population, that is, a more heterogenous population. If the treatment effect shows a benefit still, then the results can be generalised.

     

    Did the weakness affect the results?

    A SR of observational studies that has included a meta-analysis:

    If the meta-analysis was presented, this is a major weakness which can affect the result.

     

    Apart from the above [WHICH IS A ‘NO NO’]…..

    You can actually say anything you like at this stage because you will have scored all the available points

     

    Conclusion:

    You can actually say anything you like at this stage because you will have scored all the available points

     

     



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