ArticleFrontiers in surgery2022
Predicting prolonged postoperative length of stay risk in patients undergoing lumbar fusion surgery: Development and assessment of a novel predictive nomogram.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Effect of Transthoracic Echocardiography on Prognosis Outcomes in Diabetic Patients With Various Cardiovascular Diseases: A Retrospective Cohort Study Based on the MIMIC-IV Database.Journal of clinical ultrasound : JCU · 2026Article
- Moderate discrimination but attenuated predictive precision: a multi-model external validation of prolonged postoperative length of stay models after lumbar interbody fusion in an independent cohort.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Clinical and Surgical Outcomes in Patients with Lumbar Spine Pathologies: A Retrospective Study.Reports (MDPI) · 2026Article
- Web-based machine learning application for interpretable prediction of prolonged length of stay after lumbar spinal stenosis surgery: a retrospective cohort study with explainable AI.Frontiers in physiology · 2025Article
- Development and validation of a clinical nomogram prediction model for surgical site infection following lumbar disc herniation surgery.Scientific reports · 2024Article
- The relationship between intraoperative glucose levels and length of hospital stay in patients with a femoral neck fracture: a retrospective study based on the MIMIC-IV database.Frontiers in surgery · 2024Article
- Development and validation of a novel nomogram to predict the risk of the prolonged postoperative length of stay for lumbar spinal stenosis patients.BMC musculoskeletal disorders · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The purpose of this study was to develop and internally validate a prediction nomogram model in patients undergoing lumbar fusion surgery. Methods: A total of 310 patients undergoing lumbar fusion surgery were reviewed, and the median and quartile interval were used to describe postoperative length of stay (PLOS). Patients with PLOS > P Results: According to the interquartile range of PLOS in a total of 310 patients, the PLOS of 235 patients was ≤P Conclusions: This study developed a novel nomogram with a relatively good accuracy to help clinicians access the risk of prolonged PLOS in lumbar fusion surgery patients. By an estimate of individual risk, surgeons and anesthesiologists may shorten PLOS and accelerate postoperative recovery of lumbar fusion surgery through more accurate individualized treatment.
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