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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)

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