ArticleFrontiers in endocrinology2026
Association between triglyceride glucose- systemic immune inflammation index and deep venous thrombosis in fresh fracture patient: a real-world retrospective study.
Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Construction and validation of a nomogram model incorporating the systemic immune-inflammation index for preoperative deep vein thrombosis risk in patients with traumatic lower limb fractures.BMC musculoskeletal disorders · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Currently, systemic inflammation indices and insulin resistance are both recognised as high-risk factors for venous thromboembolic diseases. However, there is a lack of research on the relationship between the triglyceride-glucose-systemic inflammation index (TyG-SII) and the risk of lower limb deep vein thrombosis (DVT) in populations with traumatic fractures. This study aims to investigate the relationship between TyG-SII and the risk of DVT. Methods: The study participants were inpatients from the Orthopaedic Centre of Foshan Traditional Chinese Medicine Hospital. Participants were divided into three groups using K-means clustering analysis based on changes in TyG-SII. Multivariate binary logistic regression analysis was used to explore the association between different groups (based on different levels of TyG-SII and DVT. Restricted cubic spline (RCS) regression models were used to explore the potential nonlinear association between TyG-SII and DVT events. Receiver operating characteristic (ROC) curves were employed to quantify the predictive ability of TyG-SII for DVT. Subgroup analyses further confirmed the relationship between TyG-SII and DVT in different populations. Results: Among the 5,455 patients, 1,991 (36.50%) developed DVT, and 646 (11.84%) developed only MCVT. After adjusting for various potential confounding factors, patients with moderate (OR = 0.86, 95% CI: 0.66-0.98) and high levels of TyG-SII had a significantly lower risk of DVT compared to those with low levels of TyG-SII (OR = 0.73, 95% CI: 0.58-0.95). Compared with the lowest quartile (Q1) of baseline TyG-SII, the third quartile (Q3) showed the most significant protective effect (OR = 0.46, 95% CI: 0.39-0.55). Additionally, there was a nonlinear U-shaped relationship between baseline TyG-SII and DVT risk, with thresholds of 242.14 and 3710.98, respectively. Conclusions: For patients with traumatic fractures, TyG-SII is independently associated with the risk of lower limb DVT. Maintaining a good TyG-SII index helps prevent the occurrence of DVT after traumatic fractures.
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.