Using a collaborative online platform to identify systematic reviews in LILACS

Article type
Authors
Rada G1, Ciapponi A2, Glujovsky D2, Rivera S1, Roa M1, Abdala V3
1Evidence Based Health Care Program. Faculty of Medicine, Pontificia Universidad Católica de Chile, Chile
2Argentine Cochrane Centre IECS, Institute for Clinical Effectiveness and Health Policy, Argentina
3Servicios Cooperativos de Informacion BIREME/OPS/OMS, Brasil
Abstract
Background: It is desirable that users have easy access to systematic reviews (SR) instead of potentially biased narrative reviews (NR). Methodological filters for databases are efficient tools for identifying SR but NR and other articles are also retrieved. The user demands some ability to discriminate between these, which is frustrating and prone to mistakes. Considering the limitations of database-specific strategies to perform this differentiation, we organized a collaborative web-based model to identify SR in LILACS.

Objectives: To identify SR in LILACS, in order to facilitate their retrieval by users, including organisations appraising and disseminating SR (e.g. DARE).

Methods: A search strategy developed for this project (based on Montori 2005 and the Ecuador Cochrane Center strategy) was deployed from January 2008 to February 2011. Study selection will be performed through EROS (Early Review Organizing Software), a web-based software for the initial phases of the SR process. Pairs of researchers will independently assess by title/abstract considering for full text assessment all potentially eligible SR (e.g. those mentioning at least a search in the methods section). They will assess SR as detailed in Table 1 and will also register if a meta-analysis is presented. Discrepancies will be solved by consensus. The search strategy will be run quarterly followed by the described process of SR identification. A filter and label of confirmed SR will be incorporated into LILACS.

Results: The search strategy retrieved 1819 references. Results about SR identification and classification will be presented at the Colloquium. Once this project is in full operation, the users of LILACS will easily access confirmed SR. This collaborative model may be extended to randomized clinical trials and other study designs.