ArticleThe journal of obstetrics and gynaecology research2025
Construction and evaluation of a risk prediction model for postoperative deep vein thrombosis in gynecological patients.
Article in The journal of obstetrics and gynaecology research, 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.
- The Caprini score for venous thromboembolism risk assessment: A scoping review of applications, validation, and future directions.Journal of vascular surgery. Venous and lymphatic disorders · 2026Article
- Risk factors and clinical strategies for lower extremity deep vein thrombosis following breast cancer surgery.American journal of translational research · 2026Article
- Construction and evaluation of a risk prediction model for postoperative deep vein thrombosis in gynecological patients.The journal of obstetrics and gynaecology research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo investigate the predictive role of a risk assessment model constructed using Caprini score combined with D-dimer in gynecological postoperative patients for the occurrence of deep vein thrombosis.
methodsPatients scheduled for gynecological surgery at our hospital between January 2018 and April 2024 were included. This study included 136 patients, with 35 cases in the DVT group and 101 cases in the non-DVT group. General information, intraoperative parameters, D-dimer levels, Caprini Score, lower extremity Doppler ultrasonography, and intervention methods were collected. Logistic regression analysis and a combined model were employed to analyze the factors influencing the occurrence of DVT.
resultsCompared to non-DVT patients, the DVT group had a significantly older age (p = 0.035), higher hypertension prevalence (p = 0.025), and more complex surgeries (p = 0.004). Pre-discharge D-dimer levels and pre-/postoperative Caprini scores were markedly elevated in DVT patients (p < 0.05). Critically, logistic regression identified pre-discharge D-dimer levels (p < 0.001), preoperative Caprini score (p = 0.003), and postoperative Caprini score (p < 0.001) as independent risk factors for DVT. The combined prediction model integrating these factors achieved an AUC of 0.812, demonstrating high discriminative power for postoperative DVT occurrence.
conclusionThe predictive value of the DVT prediction model constructed using the Caprini score in combination with D-dimer for the occurrence of DVT is high. The combined predictive model can be further promoted in clinical practice to take appropriate preventive measures to reduce the likelihood of DVT occurrence and to intervene promptly in existing risk factors.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.