Impact of a Limitation Section on the Meta-analysis Results' Interpretation

Systematic Review With Metaanalysis

limitation, quality, bias, meta-analysis, interpretation, abstract

Objective: The investigators aim to evaluate the impact of a limitations section in systematic review's abstract on results' interpretation by readers. Design: Randomized ratio 1:1 controlled trial with two parallel arms. Participants will be invited to participate in an online survey. Participants: Eligible participants are corresponding authors of randomized controlled trial published between 2010 and 2012 and referenced in pubmed Intervention: The investigators will evaluate the impact of the presence of a limitations section in abstract of systematic review with meta-analysis. The investigators selected abstracts of meta-analysis published in the journal Annals of Internal Medicine between 2006 and 2011. Selected abstract will be standardised and the treatment's name hidden. The two groups of abstract will be presented as follow: 1) abstract with limitations section and 2) abstract without limitations section: the limitations section of the original abstract will be deleted. Selected participants are invited by e-mail to answer the survey. After reading one abstract from his group a randomization they are invited two answer 5 questions about their interpretation of the meta-analysis's results.

OBJECTIVE The aim of the study is to evaluate the impact of a limitations section in systematic review's abstract on results' interpretation by readers. STUDY DESIGN The study is a randomized controlled trial with two parallel arms. The study follows the CONSORT 2010 statements Participant will be invited to participate in an on-line survey with a secured web site. Participants, after a characteristic description will be randomized in one of the two arms: 1) abstract with a limitations section 2) abstract without a limitations section. ELIGIBILITY Eligible participants are corresponding authors of randomized trials published between 2010 and 2012 and referenced in pubmed core set journal INTERVENTION We will evaluate the impact of the presence of a limitations section in abstract of systematic review with meta-analysis. SELECTION OF ABSTRACTS We will retrieve all systematic review with meta-analysis published in the journals Annals of Internal Medicine between the years 2006 and 2012, about health care intervention with a conclusion in favor the experimental treatment or intervention. We exclude updates, diagnostical, genetical, epidemiological or economical evaluation and multiple or indirect comparisons. MODIFICATION OF ABSTRACTS All selected abstracts will be standardised. Treatment name will be replaced with experimental treatment A, control treatment will be replaced by control treatment B if necessary in the title and in the abstract. The two groups of abstract will be presented as follow: 1. Abstract with limitations section 2. Abstract without limitations section: the limitations section of the original abstract will be deleted. OUTCOMES PRIMARY OUTCOME The primary outcome will be, the readers' recommendation of the experimental treatment A SECONDARY OUTCOMES Secondary outcomes will evaluate the interpretation of the results of the meta-analysis. The readers will answers the following questions, with the choice of answers based on a 10-point Likert scale 1. How would you rate the quality of the systematic review? 2. How confident are you in the results of this systematic review? 3. Do you consider that the experimental treatment A is a proven effective treatment? 4. How confident are you in the validity of the conclusion that the authors draw? NUMBER OF PARTICIPANT A power analysis was conducted to estimate the number of subject (participants) needed to achieve a power of 0.9 and an alpha value of 0.05 to discern a different of effect size of 0.4 between the two versions of abstract. This resulted in an estimate to the need of recruit a minimum of 133 participants in each arm, either a total of 266 participants STATISTICAL ANALYSIS We will analyze data with R project software, in intention to treat. Data for quantitative variables are expressed with medians and interquartile (IQR) ranges. Qualitative variables are expressed with frequencies and percentages and missing data Primary analysis will compare means of the primary outcome between the 2 groups with a Student t test.

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