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Table 3 Quality of the models of the review according to PROBAST tool

From: Solitary pulmonary nodule malignancy predictive models applicable to routine clinical practice: a systematic review

Study, year ROBa Applicabilityb Overallc
Participants Predictors Outcome Analysis Participants Predictors Outcome ROB Applicability
Swensen et al., 1997 [21] + ? + ?
Gould et al., 2007 [27] ?
Yonemori et al., 2007 [20] + ?
Li et al., 2012 [19] ? ?
Dong et al. 2013 [15] ? ?
Zhang et al., 2015 [25] ? ? ?
Zheng et al., 2015 [18] ? ? ?
Van Gómez López et al., 2015 [16] ? ?
Yang et al., 2017 [29] ? ? ?
She et al., 2017 [24] ? ? ?
Wang et al., 2018 [28] ? ?
Chen et al., 2019 [17] ? ?
Wu Z et al. (2020) [23] ? . ?
Chen W et al. (2020) [22] ? ?
M. Jacob et al. (2020) [26] ? ?
  1. Notes: “+” indicates low ROB/low concern regarding applicability; “−” indicates high ROB/high concern regarding applicability; and “?” indicates unclear ROB/unclear concern regarding applicability. a Obtaining each domain of risk of bias is established based on the responses of their respective items (Appendix D) as follows: if all items are answered with "Yes", the domain is at low risk of bias. If in at least one item the answer is “Unclear” and the rest of the items are “Yes”, the risk of bias is unclear. If the answer is “No” in at least one item, independently of the other answers, the domain is at high risk of bias. b The applicability of each domain is established by consensus among the authors. c The final overall assessment is expressed as follows: low risk of bias if all domains have low risk of bias; high risk of bias in case at least one domain presents high risk of bias; if the risk is not clear in at least one domain and all the other domains are low risk of bias, the final assessment remains unclear. Ditto for applicability
  2. Abbreviations: PROBAST, Prediction model Risk Of Bias Assessment Tool; ROB, risk of bias