Trial reportComputational and mathematical methods in medicine2022
Prediction Model of Postoperative Severe Hypocalcemia in Patients with Secondary Hyperparathyroidism Based on Logistic Regression and XGBoost Algorithm.
Trial report in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Development and validation of an explainable web-based machine learning model for predicting early postoperative hypocalcemia in patients with differentiated thyroid cancer.Gland surgery · 2026Article
- Predicting Hungry Bone Syndrome with Interpretable Machine Learning: A Single-Center Cohort of Dialysis Patients Undergoing Parathyroidectomy.Diagnostics (Basel, Switzerland) · 2026Article
- Artificial intelligence for predicting transient hypocalcemia after total thyroidectomy.Scientific reports · 2026Article
- Hungry Bone Syndrome After Parathyroidectomy for Secondary Hyperparathyroidism: Pathogenesis and Contemporary Clinical Considerations.Journal of clinical medicine · 2025Review
- Determinants of Severe Hypocalcemia After Parathyroidectomy in Patients with End-Stage Kidney Disease and Renal Hyperparathyroidism: A Retrospective Cohort Study.Journal of clinical medicine · 2025Article
- Efficacy and safety of prophylactic intravenous calcium supplementation in patients with secondary hyperparathyroidism after parathyroidectomy: a retrospective study.Frontiers in endocrinology · 2025Article
- Article
- Machine learning-based prediction models for parathyroid carcinoma using pre-surgery cognitive function and clinical features.Scientific reports · 2023Article
- Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: A predictive model was established based on logistic regression and XGBoost algorithm to investigate the factors related to postoperative hypocalcemia in patients with secondary hyperparathyroidism (SHPT). Methods: A total of 60 SHPT patients who underwent parathyroidectomy (PTX) in our hospital were retrospectively enrolled. All patients were randomly divided into a training set ( Results: Multivariate logistic regression analysis showed that body mass (OR = 1.203, Conclusion: The predictive models based on the logistic regression and XGBoost algorithm model can predict the occurrence of postoperative SH.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.