2022
DOI: 10.1016/j.spinee.2022.02.009
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A machine learning algorithm for predicting prolonged postoperative opioid prescription after lumbar disc herniation surgery. An external validation study using 1,316 patients from a Taiwanese cohort

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Cited by 21 publications
(43 citation statements)
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“…This being said, we found in the literature only PSSs for survival estimation. No PSSs have been developed to predict other postoperative outcomes such as complications, length of hospital stay, non‐home discharge, reoperations, or quality of life 57–61 . We believe all these aspects should also be discussed with patients with limited survival, who might consider quality of life as the most important goal of treatment.…”
Section: Discussionmentioning
confidence: 99%
“…This being said, we found in the literature only PSSs for survival estimation. No PSSs have been developed to predict other postoperative outcomes such as complications, length of hospital stay, non‐home discharge, reoperations, or quality of life 57–61 . We believe all these aspects should also be discussed with patients with limited survival, who might consider quality of life as the most important goal of treatment.…”
Section: Discussionmentioning
confidence: 99%
“…Third, we externally validated the SORG-MLA in a Taiwanese cohort, and previous studies identified that clinical prediction models should be externally validated before applying to a group of patients different from the original cohort. 37,38 Therefore, whether this model could be used in other areas with distinct demographics and medical environments still requires further studies. Fourth, the inclusion criteria of age cutoff were different between the two cohorts.…”
Section: Discussionmentioning
confidence: 99%
“…Other risk factors include age, tobacco use, and low educational level 33,36 . Given the many high-risk factors, multiple studies have also proposed machine learning models to predict postoperative opioid consumption [37][38][39][40][41][42] . The identification of this high-risk population should become an integral part of any examination provided in a clinical setting.…”
Section: Effect Of Opioids On Orthopaedic Patientsmentioning
confidence: 99%