ArticleJournal of orthopaedic surgery and research2024
Nomogram based on high-density lipoprotein cholesterol for the occurrence of preoperative deep vein thrombosis in patients with intertrochanteric femur fracture: a retrospective study.
Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- A nomogram prediction model for perioperative heart failure in elderly patients with intertrochanteric femoral fracture based on lasso-logistic regression.Frontiers in cardiovascular medicine · 2026Article
- The role of ginkgo leaf extract and dipyridamole adjuvant treatment for reduction of lower limb deep vein thrombosis after proximal femoral nail antirotation surgery in elderly patients with intertrochanteric femoral fracture.Frontiers in pharmacology · 2026Article
- A novel three-dimensional proximal femoral intramedullary nail (TD-PFIN) system with better biomechanical advantages: a finite element analysis study.Journal of orthopaedics · 2025Article
- Construction and validation of a predictive model for the risk of prolonged preoperative waiting time in patients with intertrochanteric fractures.Frontiers in medicine · 2024Article
- New Predictive Model and Predictors for Perioperative Deep Vein Thrombosis Formation in Fractures of the Lower Extremity Versus Traditional Scoring.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
- Development and Empirical Study of a Lower Extremity Deep Vein Thrombosis Prevention Protocol for Patients Undergoing Gynecologic Laparoscopic Surgery.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aims to develop a nomogram and forecast the incidence of DVT in individuals suffering from an intertrochanteric femur fracture.
methodThis work created a nomogram using the R programming language and employed logistic regression to determine independent predicting features. An external validation dataset was used to validate the nomogram.
resultThe findings demonstrated the independence of LYM (0.02[0.01-0.09], p < 0.001), ALB (0.83[0.74, 0.94], p = 0.002), and HDL-C (0.18[0.04, 0.71], p = 0.014). Good prediction performance with modest errors was shown by the nomogram in both the training and validation groups.
conclusionIn conclusion, the nomogram that was created using HDL-C, ALB, and LYM can assist medical professionals in determining the likelihood that DVT will occur.
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