ArticleSurgical endoscopy2020
Prediction of early discharge after gynaecological oncology surgery within ERAS.
Article in Surgical endoscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Minimally invasive hysterectomy same-day discharge: systematic review and meta-analysis of predictors.Archives of gynecology and obstetrics · 2024Pooled it
- A systematic literature review of predicting patient discharges using statistical methods and machine learning.Health care management science · 2024Pooled it
- Developing a decision support tool to predict delayed discharge from hospitals using machine learning.BMC health services research · 2025Article
- Effects of Preoperative Oral Carbohydrate on Perioperative Maternal Outcomes Undergoing Cesarean Section: A Systematic Review and Meta-Analysis.Anesthesiology research and practice · 2024Review
- Observational
- Factors Associated with 1-Year Mortality in Elderly Patients (Age ≥ 80 Years) with Cancer Undergoing Major Abdominal Surgery: A Retrospective Cohort Study.Annals of surgical oncology · 2023Article
- Enhanced Recovery after Surgery (ERAS) for Minimally Invasive Gynecologic Oncology Surgery: A Review.Current oncology (Toronto, Ont.) · 2023Review
- Enhanced Recovery after Surgery and Endometrial Cancers: Results from an Initial Experience Focused on Elderly Patients.Cancers · 2023Article
- Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesEnhanced recovery after surgery programs (ERAS) have been proven to decrease the length of hospital stay without increasing readmission rates or complications. However, the patient and operative characteristics that improve the chance of a successful early hospital discharge are not well established. The aim of this study was to design a nomogram which could be used before surgery, using the characteristics of patients, to establish who could benefit from early discharge (POD ≤ 2 days).
methodsThis observational study has been prospectively conducted. All the included patients were referred for surgical treatment of gynecologic cancer. We defined two sub-groups of patients on surgical procedure characteristics: isolated procedures (hysterectomy or lymphadenectomy) and combined procedures (at least the association of two procedures).
results230 patients were enrolled during the study protocol. 83.9% of patients were treated with a minimally invasive surgery (MIS). 159 patients (69.1%) were discharged on or before POD 2. On multivariate analysis, the surgical approach (open surgery vs. laparoscopy, OR 0.02 (95% CI [0-0.07]), p < 0.001) and the type of surgery (combined procedure versus isolated procedure, OR 0.41 (95% CI [0.18-0.91]), p = 0.028) were found to be significant predictors of increased hospital stay. A nomogram has been built for the purpose of predicting eligible patients for early post-operative discharge based on the multivariate analysis results (AUC = 0.86, 95% CI [0.81-0.92]).
conclusionThe use of MIS for isolated procedures in oncologic indications constitutes an independent factor of early discharge in a setting of ERAS. These promising preliminary results still require to be validated on a prospective cohort.
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