ArticleJournal of thoracic disease2026
Construction of a predictive model for prolonged length of stay in patients undergoing non-intubated thoracoscopic resection of lung cancer.
Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Background: Lung cancer is among the most prevalent and lethal malignancies worldwide. Non-intubated video-assisted thoracoscopic surgery (VATS) has demonstrated advantages in reducing hospital length of stay (LOS). However, clinical practice indicates that a substantial proportion of patients still experience prolonged length of stay (PLOS). Currently, no risk prediction model exists specifically for PLOS following non-intubated VATS in lung cancer patients. This study aims to analyze clinical data to identify risk factors associated with PLOS and to develop a predictive model. Methods: A retrospective cohort study was conducted on patients undergoing non-intubated VATS lung cancer surgery between January 2024 and June 2025 at Shandong Provincial Hospital Affiliated to Shandong First Medical University. Data were collected via the Hospital Information System (HIS) and telephone follow-up electronic questionnaires. Categorical variables were analyzed using χ Results: Of 742 patients analyzed, 216 had a prolonged LOS (≥8 days). PLOS was associated with significantly higher comorbidity burdens, more complex surgeries, and worse postoperative outcomes, including a greater complication rate (48.6% Conclusions: This prediction model shows robust accuracy in identifying lung cancer patients at high risk of PLOS after non-intubated VATS. It provides a theoretical basis for early identification and timely intervention by clinical staff.
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