Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review

Yang, Hualu; Lu, Shuya; Yang, Lin

doi:10.1186/s13643-024-02449-9

Systematic Reviews

Table 5 Quality assessment of the selected studies by Prediction model Risk-of-Bias Assessment Tool (PROBAST) (detailed)

From: Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review

Items		Author/year
Items		Sico/2017	Brown/2020	Boulos/2019	Katzan/2016	Bernardini/2021	Zhang/2019	Boulos/2016	Petrie/2021	Šiarnik/2020	Camilo/2014	Srijithesh/2011
Participants	Were appropriate data sources used, e.g., cohort, randomized controlled trial, or nested case–control study data?	+	+	+	+	+	+	+	+	+	+	+
Participants	Were all inclusions and exclusions of participants appropriate?	+	+	+	+	+	+	+	+	+	+	+
Predictors	Were predictors defined and assessed in a similar way for all participants?	+	+	?	+	+	?	+	+	+	+	+
	Were predictor assessments made without knowledge of outcome data?	?	+	?	+	+	?	+	+	+	+	+
	Are all predictors available at the time the model is intended to be used?	+	+	+	+	+	+	+	+	+	+	+
Outcome	Was the outcome determined appropriately?	+	+	+	+	+	+	+	+	+	+	+
	Was a prespecified or standard outcome definition used?	+	+	+	+	+	+	+	+	+	+	+
	Were predictors excluded from the outcome definition?	+	+	+	+	+	+	+	+	+	+	+
	Was the outcome defined and determined in a similar way for all participants?	+	+	+	+	+	+	+	+	+	+	+
	Was the outcome determined without knowledge of predictor information?	+	+	+	+	+	+	+	+	+	+	+
	Was the time interval between predictor assessment and outcome determination appropriate?	+	+	+	+	+	+	+	+	+	+	+
Analysis	Were there a reasonable number of participants with the outcome?	-	-	+	+	-	-	-	+	+	-	-
	Were continuous and categorical predictors handled appropriately?	+	+	+	+	+	+	+	+	+	+	+
	Were all enrolled participants included in the analysis?	+	+	+	+	+	+	+	+	+	+	+
	Were participants with missing data handled appropriately?	+	?	?	+	?	+	?	?	?	?	?
	Was selection of predictors based on univariable analysis avoided? (Model development studies only)	+	+	+	+	+	+	+	+	+	+	+
	Were complexities in the data (e.g., censoring, competing risks, sampling of control participants) accounted for appropriately?	+	+	+	+	+	+	+	+	+	+	+
	Were relevant model performance measures evaluated appropriately?	-	-	-	-	-	-	-	-	-	-	-
	Were model overfitting and optimism in model performance accounted for? (Model development studies only)	-	-	-	?	-	-	-	-	-	-	-
	Do predictors and their assigned weights in the final model correspond to the results from the reported multivariable analysis? (Model development studies only)?	-	-	-	+	-	-	-	-	-	-	-

+ Low risk of bias
− High risk of bias
?Unclear

Back to article page

ISSN: 2046-4053

Contact us

Submission enquiries: Access here and click Contact Us
General enquiries: info@biomedcentral.com