ArticleThrombosis journal2025
A nomogram model for predicting preoperative DVT in elderly anemic patients undergoing total hip arthroplasty: a retrospective cohort study.
Article in Thrombosis journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Review of the influence of anaemia on the effect of total hip arthroplasty, and the prognosis of patients: recent advances and future directions.Annals of medicine · 2026Review
- Development and validation of a deep vein thrombosis risk assessment tool for surgical patients aged 75 years and older.BMC geriatrics · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
objectivesTotal hip arthroplasty (THA) is classified as a high-risk surgery for venous thromboembolism (VTE) events, especially in elderly individuals and in cases of anemia. This study aims to uncover independent risk factors for predicting preoperative DVT in elderly anemic patients undergoing THA. Furthermore, it seeks to validate these factors' predictive efficacy in diagnosing DVT, with the goal of facilitating prompt identification and treatment to mitigate associated risks.
methodsClinical information and relevant laboratory test data of preoperative deep vein thrombosis (DVT) in 459 elderly patients with anemia who underwent total hip replacement surgery from January 2018 to June 2024 were retrospectively evaluated. Logistic regression analysis and backward stepwise method were used to detect independent predictors of preoperative DVT diagnosis in elderly patients with anemia who underwent total hip replacement surgery. A nomogram prediction model was established through multivariate logistic regression and subsequently utilized the testing group to validate.
resultsA multivariate logistic regression model was used to analyze the data, Hematocrit (HCT) (Odds ratio (OR) = 0.14, 95% confidence intervals (CI):[0.04,0.52]; P = 0.003), Albumin (ALB) (OR = 0.1, 95% CI:[0.03,0.37]; P = 0.001), Prothrombin Time (PT) (OR = 0.29, 95% CI:[0.1,0.83]; P = 0.02), Fibrin Degradation Products (FDP) (OR = 0.15, 95% CI:[0.05,0.49]; P = 0.002) and lymphocyte/Monocyte ratio (LMR) (OR = 0.28, 95% CI:[0.09,0.87], P = 0.028) were independent predictors for DVT before THA in elderly patients with anemia. The area under the curve (AUC) scores were 0.929 for the training group and 0.896 for the testing group, with calibration curve mean errors of 0.017 and 0.023, respectively. The decision curve analysis (DCA) graph indicates that the developed nomogram was highly practical and advantageous for clinical application.
conclusionThe independent predictors of preoperative DVT in elderly anemic patients undergoing total hip replacement primarily include HCT, ALB, PT, FDP, and LMR at admission, which are easy to obtain and can quickly yield results. Moreover, the nomogram based on HCT, ALB, PT, FDP, and LMR can help clinical doctors evaluate the possibility of DVT formation, thereby accurately and quickly assisting clinical doctors in making better clinical judgments.
Indexed as
Identifiers
What Socratic holds
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.