BMC Medical Informatics and Decision Making

Table 2 PROBAST ROB and applicability assessment results* for all included studies following the suggested tabular presentation by Wolff et al. [47]

From: Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review

	ROB				Applicability			Overall
Study	Participants	Predictors	Outcome	Analysis	Participants	Predictors	Outcome	ROB	Applicability
Fontana et al. [2]	+	+	+	+	+	+	+	+	+
Harris et al. [27]	+	+	+	−	+	+	+	−	+
Huber et al. [28]	+	+	+	−	+	+	+	−	+
Katakam et al. [59]	+	+	+	+	+	+	+	+	+
Zhang et al. [60]	+	+	+	+	+	+	+	+	+
Kunze et al. [29]	+	+	+	+	+	+	+	+	+

ROB, Risk of bias
* + indicates low ROB/low concern regarding applicability; − indicates high ROB/high concern regarding applicability; and ? indicates unclear ROB/unclear concern regarding applicability

Back to article page

ISSN: 1472-6947

Contact us

General enquiries: journalsubmissions@springernature.com