Back to search

Article

Nomogram based on preoperative systemic immune-inflammation index for Post-Anesthesia Care Unit duration predication in renal cancer patients underwent Robot-assisted partial nephrectomy

2025-12-30

Abstract excerpt

<title>Abstract</title> <p>Background Accurate and timely discharge from the Post-Anesthesia Care Unit (PACU) is crucial for preventing postoperative complications and optimizing hospital resource utilization. This study aimed to develop a preoperative nomogram incorporating inflammatory markers and clinical characteristics to predict anesthesia recovery time in patients with renal cell carcinoma (RCC) undergoin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
084d0999-7841-54df-8241-2ef7c8c7c102
DOI
10.21203/rs.3.rs-8150211/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Nomogram based on preoperative systemic immune-inflammation index for Post-Anesthesia Care Unit duration predication in renal cancer patients underwent Robot-assisted partial nephrectomyDOI 10.21203/rs.3.rs-8150211/v1
Robot-Assisted versus Open Partial Nephrectomy: Propensity-Matched Perioperative Outcomes and Oncologic Safety up to 5 YearsSemantic proximity
An Integrated Random Forest– and LASSO-Derived Nomogram for Predicting Postoperative Nosocomial Infections in Colorectal Cancer PatientsSemantic proximity
Development and validation of a nomogram model for predicting postoperative delirium in older adults undergoing free flap reconstruction after oral cancer surgerySemantic proximity
Development and validation of a machine learning-based risk model for prolonged length of stay after laparoscopic gastrointestinal surgery in women: A secondary analysis of the FDP-PONV trailSemantic proximity
Predicting Post-Anesthesia Care Unit (PACU) Length of Stay (LOS) Using Machine Learning for Patients Undergoing Lumbar Spinal Stenosis SurgerySemantic proximity
Retrospective Evaluation of Preoperative Blood Inflammation Biomarkers for Predicting Post-PCNL SIRSSemantic proximity
Development and Validation of a Nomogram Combined with Albumin and Neutrophil-to-Lymphocyte Ratio Predicting Postoperative Complications after Resection of Colon CancerSemantic proximity
Construction and validation of a risk prediction model for postoperative ICU admission in patients with colorectal cancer: Clinical prediction model studySemantic proximity
Peri-anesthesia Period Machine-Learning Model for Poor Outcome in Emergency Surgery PatientsSemantic proximity
Construction of a nomogram prediction model for the complications of iliofemoral vascular intervention accessSemantic proximity
Correlation of Preoperative Fibrinogen/Albumin Ratio and Postoperative C-reactive Protein/Albumin Ratio with Early Complications After Radical Resection of Rectal CancerSemantic proximity
Effects of different methods of anesthesia on acute gastrointestinal dysfunction, postoperative cognitive impairment, and the immune status after laparoscopic radical rectal cancer surgerySemantic proximity
Select a neighboring publication to make it the new centre.