Systematic Reviews and Meta-Analysis (PDF 646 kB)
Systematic Reviews and Meta-Analysis (PDF 646 kB)
Systematic Reviews and Meta-Analysis (PDF 646 kB)
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SYSTEMATIC REVIEWS AND<br />
META-ANALYSIS
Objectives<br />
• Define systematic review <strong>and</strong> meta-analysis<br />
• Know how to<br />
– access<br />
– appraise<br />
– interpret<br />
the results of a systematic review
Reasons to use reviews<br />
• Sheer volume of literature*<br />
• Save time doing exhaustive literature<br />
researches<br />
*Wyatt: about 25,000 biomedical journals in print worldwide.<br />
This number is rising by 4% pa - doubling time of 19 yrs
Review<br />
• Any attempt to synthesise results <strong>and</strong><br />
conclusions of 2 or more publications on a<br />
given topic<br />
– e.g. editorials, working papers<br />
• Problems<br />
– Retrieval bias <strong>and</strong> publication bias<br />
• Were all studies identified?<br />
• Do not see how conclusions arrived at<br />
• Reviewers may be biased / conflict of interest<br />
• Languages excluded?
Were all studies that met the inclusion<br />
criteria for the review identified successfully?<br />
If not, were the results of the sample of studies<br />
included in the review representative of the<br />
results of all eligible studies?<br />
Of controlled trials identified in five separate subject<br />
areas within perinatal medicine, between 20 <strong>and</strong> 50<br />
percent were identified using MEDLINE, compared<br />
with between 85 <strong>and</strong> 100 percent using the Oxford<br />
Database of Perinatal Trials.<br />
Chalmers et al. 1989
Retrieval bias<br />
What can be done about it?<br />
• <strong>Systematic</strong> <strong>and</strong> comprehensive search for eligible<br />
reports<br />
How can it be prevented?<br />
• Use of structured abstracts by investigators<br />
• Improvement, extension <strong>and</strong> further development of<br />
– Bibliographic retrieval systems<br />
• Explicit search criteria
Publication bias<br />
• A tendency among investigators, peer<br />
reviewers <strong>and</strong> journal editors to allow<br />
the direction <strong>and</strong> statistical<br />
significance of research findings to<br />
influence decisions regarding<br />
submission <strong>and</strong> acceptance for<br />
publication
Publication bias<br />
Examples<br />
<strong>Analysis</strong> of relative risks derived from studies examining the<br />
relationship between passive smoking <strong>and</strong> lung cancer suggests that<br />
studies in which no relationship has been detected may remain<br />
unpublished. V<strong>and</strong>enbrouke, Br Med J 1988;296:391-392<br />
However, estimates of the effect of these suggests that<br />
they would have little impact on the weight of evidence<br />
against passive smoking, 2004<br />
A survey of authors or published reports of r<strong>and</strong>omized trials<br />
revealed that between a quarter <strong>and</strong> a fifth of the trials that they<br />
have ever conducted had never been published, <strong>and</strong> that trials in<br />
which a new treatment had been found to be a superior to a<br />
st<strong>and</strong>ard treatment were more likely than others to have been<br />
published.<br />
Dickersin et al.Contr Clin Trials1987;8:343-353
Pharmaceutical industry sponsorship <strong>and</strong> research<br />
outcome <strong>and</strong> quality: systematic review.<br />
BMJ 2003;326:1167-1170 (31 May),<br />
Joel Lexchin, Lisa A Bero, Benjamin Djulbegovic, Otavio Clark<br />
• Results<br />
30 studies were included (1966 – 2002). Research funded<br />
by drug companies was less likely to be published than<br />
research funded by other sources. Studies sponsored by<br />
pharmaceutical companies were more likely to have<br />
outcomes favouring the sponsor than were studies with<br />
other sponsors (odds ratio 4.05; 95% confidence<br />
interval 2.98 to 5.51; 18 comparisons). None of the 13<br />
studies that analysed methods reported that studies<br />
funded by industry was of poorer quality.
Publication bias<br />
• What can be done about it?<br />
– Grey literature<br />
– Contact authors
Pitfalls of reviews<br />
• “Current medical reviews do not routinely<br />
use scientific methods to identify, assess<br />
<strong>and</strong> synthesise information.”<br />
Mulrow, 1987<br />
• 50 reviews in 4 major journals, 1985-86<br />
– no statement of methods 49<br />
– summary inappropriate 47
How can the situation<br />
improve?<br />
• Better reviews (high quality, more relevant)<br />
– Cochrane collaboration<br />
– <strong>Systematic</strong> reviews<br />
• Improved access to reviews<br />
– CCPC, Databases, Effectiveness Bulletins<br />
• Readers more skilled in making sense of reviews<br />
– CASP
What is a systematic review?<br />
A review in which evidence on a topic has been<br />
systematically identified <strong>and</strong> summarised according<br />
to predetermined criteria.<br />
• Specific clinical questions<br />
• Predefined explicit methodology<br />
• Reproducible<br />
• Usually review of RCTs
<strong>Meta</strong>-analysis - statistical principles<br />
The use of statistical methods to summarise the results of<br />
independent studies into a single estimate giving more weight<br />
to results from larger studies.<br />
• No direct comparison of patients<br />
• Summary statistics are calculated for each trial<br />
• Individual estimates are pooled - overall pooled estimate (if<br />
appropriate)<br />
– Gives more precise estimate of effect size<br />
• Interpretation / odds ratios
Types of review<br />
<strong>Reviews</strong><br />
<strong>Systematic</strong> reviews<br />
<strong>Meta</strong>-analysis
Why use systematic reviews?<br />
• Volume of literature<br />
• Provide a basis for rational decision making<br />
• Are health care effects consistent?<br />
• Limit bias <strong>and</strong> reduce r<strong>and</strong>om error<br />
• Provides more reliable results<br />
• Required for ethics committees, funding agencies
Aim: To help people make well-informed decisions about health<br />
care by preparing, maintaining <strong>and</strong> promoting accessibility of<br />
systematic reviews of the effects of health care interventions.<br />
www.cochrane.org
6 principles of Cochrane<br />
• Collaboration<br />
– 5000 people in 50 countries<br />
• Building on peoples’ existing enthusiasm <strong>and</strong> interests<br />
– 50 Cochrane Review Groups - focus on particular areas of<br />
health<br />
• Minimising duplication effort<br />
• Avoidance of bias<br />
• Keeping up to date<br />
• Ensuring access
Format for a (Cochrane) review<br />
• Contact Cochrane<br />
• Develop a protocol<br />
• Formulate the problem<br />
• Locate <strong>and</strong> select studies<br />
• Critical appraisal of studies<br />
– Score for selection, attrition, performance, detection, blinding<br />
biases<br />
• Collecting data<br />
• Analysing <strong>and</strong> presenting results<br />
• Interpreting results<br />
• Improving <strong>and</strong> updating reviews
What is a Cochrane Review?<br />
http://www.cochrane.org/reviews/revstruc.htm<br />
• Cochrane <strong>Reviews</strong> investigate the effects of interventions<br />
for prevention, treatment <strong>and</strong> rehabilitation in a<br />
healthcare setting. They are designed to facilitate the<br />
choices that doctors, patients, policy makers <strong>and</strong> others<br />
face in health care. Most Cochrane <strong>Reviews</strong> are based on<br />
r<strong>and</strong>omized controlled trials, but other types of evidence<br />
may also be taken into account, if appropriate. Cochrane<br />
reviews have the following general features:
General features of a Cochrane review<br />
• Structured format<br />
• Detailed methods section<br />
• The quality of clinical studies to be incorporated into a review is carefully<br />
considered, using predefined criteria.<br />
• A thorough <strong>and</strong> systematic search strategy, which includes searches for<br />
unpublished <strong>and</strong> non-English records<br />
• If the data collected in a review are of sufficient quality <strong>and</strong> similar<br />
enough, they are summarised statistically in a meta-analysis,<br />
– generally provides a better overall estimate of a clinical effect than the results<br />
from individual studies.<br />
• <strong>Reviews</strong> aim to be relatively easy to underst<strong>and</strong> for non-experts<br />
• Multinational editorial teams try to ensure that a review is applicable in<br />
different parts of the world<br />
• <strong>Reviews</strong> are updatable.<br />
– Results from newly completed or identified clinical trials can be incorporated<br />
into the review after publication. Additionally, readers can send in comments<br />
<strong>and</strong> criticisms to any review, <strong>and</strong> reviews may be changed accordingly to<br />
improve their quality.
<strong>Systematic</strong> review protocol<br />
• State objectives <strong>and</strong> eligibility criteria<br />
• Identify potentially eligible studies<br />
• Apply eligibility criteria<br />
• Refine protocol<br />
• Publish protocol
Elements of a systematic review<br />
1. Define the clinical question<br />
2. Identify all completed studies, un/published<br />
3. Select the studies that meet scientific validity criteria<br />
4. Look for evidence of bias<br />
5. Describe the scientific quality of the studies<br />
6. Assess if quality systematically related to results<br />
7. Describe studies with a forest plot<br />
8. Assess if similar enough to justify combining results<br />
– Calculate summary measure of effect & CI<br />
Fletcher & Fletcher T12.1
How can we appraise a<br />
review?<br />
• How can we systematically appraise a<br />
review?<br />
• What questions should we ask?
10 questions to appraise a review<br />
Critical Appraisal Skills Programme (CASP)<br />
http://www.sph.nhs.uk/what-we-do/public-healthworkforce/resources/critical-appraisals-skills-programme<br />
• Three basic types of question...<br />
• Is it trustworthy?<br />
– Screening questions<br />
– Validity<br />
– Detailed questions on methodology<br />
• What does it say?<br />
• Will it help?<br />
– Results<br />
– Relevance<br />
Footnotes:<br />
http://www.sph.nhs.uk/what-we-do/public-health-workforce/resources/critical-appraisals-skills-programme<br />
Last accessed April 2011
Is it trustworthy? – Validity<br />
• Screening questions<br />
– Did review address a clearly focused issue?<br />
– Did authors review right type of study?<br />
• Detailed questions on methodology<br />
– Were all important relevant studies included?<br />
– Did reviewers do enough to assess the quality<br />
of the included studies?<br />
• R<strong>and</strong>omisation system, scoring system, >1 assessor<br />
– If meta-analysis performed, was it reasonable<br />
to combine the results?
What does it say - Results<br />
• Rates<br />
• Relative <strong>and</strong> absolute risk, numbers needed to<br />
treat + confidence intervals<br />
• Clinical significance<br />
• Statistical significance
Will it help? – Relevance<br />
(What service providers should ask)<br />
– Is my patient...<br />
– Are the interventions available to my patient...<br />
– Are the outcomes relevant to my patient...<br />
.....sufficiently different from people in the review<br />
to allow me to consider the findings inapplicable?
Design literature search for:<br />
Quantitative systematic review of r<strong>and</strong>omised<br />
controlled trials comparing antibiotic with<br />
placebo for acute cough in adults.<br />
(BMJ 1998;316:906-10) Fahey T. et al.<br />
• Aim:<br />
– To establish whether antibiotics are effective in<br />
the treatment of acute cough in the community
Literature search<br />
• Medical subject headings (MeSH)<br />
• Databases<br />
• Language?<br />
• Study type<br />
• Patients
Literature search<br />
• Medical subject headings (MeSH)<br />
– Cough, bronchitis, sputum, respiratory tract<br />
infections, chest infection<br />
• Databases<br />
– Medline, EMBASE, Science Citation Index,<br />
Cochrane Controlled Trials Register<br />
– Contacted authors - ?know of unpublished trials<br />
– UK drug companies ?unpublished trials<br />
• Language - not just English
• Study type<br />
Literature search<br />
Inclusion/exclusion criteria<br />
– Prospective trials, formal or quasi-r<strong>and</strong>omisation<br />
– Placebo controlled<br />
• Patients<br />
– >12 years<br />
– Family practice clinic, community based o/px<br />
dept., hospital o/px dept.<br />
– Acute cough, with/out sputum, no antibiotic in<br />
preceding week<br />
– COAD excluded
Footnote: Get class to interpret this table
Conclusions?<br />
• Treatment with antibiotic<br />
– Does not affect resolution of cough or alter course<br />
of illness<br />
• Benefits<br />
– Marginal for most patients with acute cough<br />
– May be outweighed by side effects (RR=1.51, CI<br />
0.86 to 2.64)