ArticlePeerJ2023
A nomogram model for predicting lower extremity deep vein thrombosis after gynecologic laparoscopic surgery: a retrospective cohort study.
Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 2 citations in OpenAlex.
- Plasma level of human epididymis protein 4 is associated with risk of future venous thromboembolism-the Trøndelag Health study.Journal of thrombosis and haemostasis : JTH · 2026Article
- Novel Plasma Proteomic Markers and Risk of Venous Thromboembolism.Circulation · 2026Article
- Plasma Level of Human Epididymis Protein 4 and Risk of Recurrence after First Venous Thromboembolism: The HUNT Study.TH open : companion journal to thrombosis and haemostasis · 2026Article
- Development and validation of a nomogram to predict the risk of deep venous thrombosis after hip replacement in elderly patients with femoral neck fracture.Frontiers in surgery · 2026Article
- 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
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the risk factors associated with lower extremity deep vein thrombosis (LEDVT) and to establish a predictive model for patients who undergo gynecologic laparoscopic surgery. Methods: A review of clinical data was conducted on patients who underwent gynecologic laparoscopic surgery between November 1, 2020, and January 31, 2022. Patients who developed LEDVT after surgery were included as the observation group, while the control group comprised patients who did not experience complications. Multivariate forward stepwise logistic regression models were used to identify independent risk factors associated with LEDVT. A nomogram model was then developed based on these risk factors. Results: A total of 659 patients underwent gynecologic laparoscopic surgery during the study period, and 52 (7.89%) of these patients developed postoperative LEDVT. Multivariate logistic regression analysis showed that older age (adjusted OR, 1.085; 95% CI [1.034-1.138]; Conclusions: A nomogram model that incorporates information on age, operation duration, APTT, D-dimer, history of hypertension, and HE4 could effectively predict the risk of LEDVT in patients undergoing gynecologic laparoscopic surgery, potentially helping to prevent the development of this complication.
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