ArticleWorld journal of surgery2017
Clinical, Anatomical, and Pathological Grading Score to Predict Technical Difficulty in Laparoscopic Splenectomy for Non-traumatic Diseases.
Article in World journal of surgery, 2017. 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.
- Elective splenectomy for hematological diseases: a vanishing indication.Surgical endoscopy · 2024Article
- Development and validation of machine learning models and nomograms for predicting the surgical difficulty of laparoscopic resection in rectal cancer.World journal of surgical oncology · 2024Article
- The usefulness of modified splenic hilum hanging maneuver in laparoscopic splenectomy, especially for patients with huge spleen: a case-control study with propensity score matching.Surgical endoscopy · 2022Article
- Prognostic scoring system of laparoscopic splenectomy in children with benign hematological diseases, a retrospective cohort study.Annals of medicine and surgery (2012) · 2021Article
- A novel preoperative scoring system to predict technical difficulty in laparoscopic splenectomy for non-traumatic diseases.Surgical endoscopy · 2020Article
- Laparoscopic Resection of a Left Upper Quadrant Mass Leading to a Surprise Diagnosis.Case reports in surgery · 2020Article
- Prediction of Technical Difficulties in Laparoscopic Splenectomy and Analysis of Risk Factors for Postoperative Complications in 468 Cases.Journal of clinical medicine · 2018Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundWe aimed to develop a grading system based on preoperative parameters that would predict surgical difficulty and morbidity in elective laparoscopic splenectomy. STUDY
designWe retrospectively assessed morbidity in 439 patients who underwent laparoscopic splenectomy for benign and malignant disorders between 1993 and 2013. Medical and surgical records were reviewed and analyzed. We compared preoperative data concerning demographic, clinical, pathological, anatomical, laboratory, and radiological factors with three surgical outcomes: operative time, intraoperative bleeding, and surgical conversion. Univariate and multivariate analyses were performed to identify statistically significant variables. A logistic regression model was used to identify determinant variables and to compose a predictive score. External validation of the score was performed using an independent cohort of 353 patients.
resultsFour preoperative parameters (age, male sex, type of pathology, and spleen size based on final spleen weight) were significantly related with operative time, operative bleeding, and conversion to open surgery. Using these results, we developed a classification system with three levels of difficulty: low (≤4 points), medium (4.5-5.5 points), and high (≥6 points), based on the four preoperative parameters. The correlation was highly significant (p = <0.001) according to Spearman's correlation. The area under the ROC curve was 0.671 (95 % CI 0.596-0.745). The external validation showed significant correlations with the present model.
conclusionsThe grading score described here is simple to calculate from the physical examination, laboratory tests, and US or CT images, and we believe it could be useful to preoperatively assess the technical complexity of laparoscopic splenectomy.
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