Literature DB >> 21603785

Assessing the risk of bias in randomized controlled trials in the field of dentistry indexed in the Lilacs (Literatura Latino-Americana e do Caribe em Ciências da Saúde) database.

Christiane Alves Ferreira1, Carlos Alfredo Salles Loureiro, Humberto Saconato, Alvaro Nagib Atallah.   

Abstract

CONTEXT AND
OBJECTIVE: Well-conducted randomized controlled trials (RCTs) represent the highest level of evidence when the research question relates to the effect of therapeutic or preventive interventions. However, the degree of control over bias between RCTs presents great variability between studies. For this reason, with the increasing interest in and production of systematic reviews and meta-analyses, it has been necessary to develop methodology supported by empirical evidence, so as to encourage and enhance the production of valid RCTs with low risk of bias. The aim here was to conduct a methodological analysis within the field of dentistry, regarding the risk of bias in open-access RCTs available in the Lilacs (Literatura Latino-Americana e do Caribe em Ciências da Saúde) database. DESIGN AND
SETTING: This was a methodology study conducted at Universidade Federal de São Paulo (Unifesp) that assessed the risk of bias in RCTs, using the following dimensions: allocation sequence generation, allocation concealment, blinding, and data on incomplete outcomes.
RESULTS: Out of the 4,503 articles classified, only 10 studies (0.22%) were considered to be true RCTs and, of these, only a single study was classified as presenting low risk of bias. The items that the authors of these RCTs most frequently controlled for were blinding and data on incomplete outcomes.
CONCLUSION: The effective presence of bias seriously weakened the reliability of the results from the dental studies evaluated, such that they would be of little use for clinicians and administrators as support for decision-making processes.

Mesh:

Year:  2011        PMID: 21603785     DOI: 10.1590/s1516-31802011000200006

Source DB:  PubMed          Journal:  Sao Paulo Med J        ISSN: 1516-3180            Impact factor:   1.044


  2 in total

1.  Risk of bias tool in systematic reviews/meta-analyses of acupuncture in Chinese journals.

Authors:  Yali Liu; Shengping Yang; Junjie Dai; Yongteng Xu; Rui Zhang; Huaili Jiang; Xianxia Yan; Kehu Yang
Journal:  PLoS One       Date:  2011-12-09       Impact factor: 3.240

Review 2.  Endodontic epidemiology.

Authors:  Arash Shahravan; Ali Akbar Haghdoost
Journal:  Iran Endod J       Date:  2014-03-08
  2 in total

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