EvidenceAlerts

Disclaimer

The information contained on EvidenceAlerts is intended for health care professionals and is provided on an "as is" basis without warranty of any kind, express or implied.

EvidenceAlerts provides an educational service designed to alert users to important new research; however, we cannot warrant its accuracy. It is intended to support evidence-based decision making, by providing links to published research reports about the diagnosis, treatment, prediction and prognosis, etiology, quality improvement and economics. However, "evidence does not make decisions". Readers making decisions about the care of their patients must take into account the limitations of evidence from research as well as the unique nature of their patients' circumstances and wishes. Readers should also be aware that professionals in the field may have different opinions. Because of this fact and also because of regular advances in health care research, we strongly recommend that readers independently verify any information they chose to rely on. Ultimately it is the reader's responsibility to make their own professional judgments.

EvidenceAlerts attempts to provide access to the best new research of relevance for a wide range of disciplines. It does not report all research but uses explicit criteria to define a subset of published research that is likely to be valid and ready for clinical attention. Practicing raters then provide their assessments of the relevance and newsworthiness of the reports through an online review process, the McMaster Online Rating of Evidence (MORETM). Individual users who receive these reviews must then apply their own judgment concerning the strength and applicability of this evidence to their own patients.

To the fullest extent permitted by law, McMaster University is not responsible for any losses, injury or damage caused to any person or property (including under contract, by negligence, product liability or otherwise) whether they be direct or indirect, special, incidental or consequential, resulting from the application of the information on EvidenceAlerts.