Reconceptualising searching and screening: How new technologies might change the way that we identify studies
Poster presentation at the 2011 Cochrane Colloquium.
Suggested citation:
Thomas J, & O'Mara AJ. (2011, Oct). Reconceptualising searching and screening: How new technologies might change the way that we identify studies. Presented at the 19th Cochrane Colloquium, 19-22 October 2011, Madrid, Spain.
Background
Typical reviews deal with the ‘information explosion’ by narrowing their search for studies (e.g.,... more
Background
Typical reviews deal with the ‘information explosion’ by narrowing their search for studies (e.g., applying search filters). Relevant evidence can be missed through this approach. Current methods to minimise the risk of missing relevant studies involve searching broadly and screening potentially tens of thousands of records, which is not always practical. Resource-efficient approaches that maximise sensitivity are needed.
Objectives
To evaluate whether new technologies allow us to search broadly without increasing the screening workload through semi-automated screening approaches. Specifically, we evaluate two types of text mining: a support vector machine using active learning (Wallace et al., 2010) and TerMine term clustering.
Methods
Text mining techniques were employed in an ongoing review to prioritise records for screening and to classify the records automatically as includes or excludes. Screening prioritisation was assessed by comparison with a ‘baseline inclusion rate’ and through the novel application of power calculations. Classification was assessed through the stability of the classifier and the calculation of performance metrics (precision, recall, F-values).
Results
Screening prioritisation worked when sufficient information was provided to the text mining tool; in the ongoing review, only 25% of all records were screened manually to identify the expected total number of includes. Classification reduced the manual screening required in all reviews evaluated, although it worked better for some datasets than others.
Conclusions
Systematic reviews need to develop ways of handling the growing amount of evidence available. Text mining is a promising approach that shifts the emphasis of identification from the searching stage to screening. Reconceptualising searching permits broad searches to be conducted and allows reviewers to be more precise in estimating the number of potentially missing relevant studies than can be achieved by narrowing the search process. Areas for further development are suggested.
Guidelines for conducting and reporting reviews of reviews: Dealing with topic relevance and double counting
Poster presentation at the 2011 Cochrane Collaboration Colloquium.
Suggested Citation:
O’Mara AJ, Jamal F, Parry W, Lorenc T, Cooper C. (2011, Oct). Guidelines for conducting and reporting reviews of reviews: Dealing with topic relevance and double-counting. Presented at the 19th Cochrane Colloquium, 19-22 October 2011, Madrid, Spain.
Background:
Reviews of review-level evidence (tertiary reviews) are desirable when a research question is... more
Background:
Reviews of review-level evidence (tertiary reviews) are desirable when a research question is time-sensitive and/or the scope is broad. However, reviews included in a tertiary review often have only partial overlap with the tertiary review’s research question and, consequently, not all included studies are relevant to the tertiary review. Additionally, the reviews can include some of the same primary studies (known as double-counting). These concerns might lead to biases in the evidence base.
Objectives:
To explore the issues of relevance and double-counting in a tertiary review and to present guidelines for identifying and addressing potential related problems.
Methods:
We examined data from a completed systematic tertiary review on a public health effectiveness topic. We established the relevance of the included reviews by determining how many of the primary studies included in each review met our inclusion criteria and by analysing the included reviews’ synthesis sections using the PICO elements (population, intervention, comparison, outcome) in relation to the tertiary review research question. We demonstrate graphical (plot-based) approaches and a matrix-based approach to establishing the extent of double-counting.
Results:
Of twenty reviews that met our inclusion criteria, ten reviews had less than 50% of the primary studies included that were relevant to our research question. Exploring the synthesis sections of included reviews using a PICO framework was useful in establishing the degree of relevance of the findings to the tertiary review research question and yielded a review ‘utility’ rating. Our graphical and matrix-based approaches allowed us to evaluate the extent of double-counting across reviews; 14 primary studies were included in more than one review, with some studies appearing in four reviews.
Conclusions:
Issues of relevance and double-counting need to be assessed in tertiary reviews, but are often overlooked. The guidelines proposed can help identify potential biases and attempt to address them.
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