Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery

Dhiman, Paula; Ma, Jing; Gibbs, Victoria N; Rampotas, Alexandros; Kamal, Hassan; Arshad, Sahar S.; Kirtley, Shona; Dorée, Carolyn; Murphy, Michael; Collins, Gary S.; Palmer, Antony JR.

doi:10.1016/j.jclinepi.2023.05.002

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Cited by 4 publications

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“…24,30,32,45,46 Gurm et al 30 highlighted that previous simplified noncomputerized tools need no longer be the limit to what can be utilized in clinical medicine; however, a recent systematic review concluded that the resultant clinical prediction models for blood transfusion in elective surgery are of a high risk of bias and often fail to adhere to reporting standards, emphasizing caution before application to clinical practice. 47…”

Section: Surgerymentioning

confidence: 99%