ArticleMedicine2026
Risk factors for coagulation dysfunction in traumatic brain injury patients: A single-center retrospective cohort study.
Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to analyze the risk factors for coagulation dysfunction in patients with traumatic brain injury (TBI) using a logistic regression risk prediction model. A single-center retrospective cohort study was conducted on 121 patients with TBI, including 76 patients in the modeling group and 45 patients in the validation group. The occurrence of coagulation dysfunction was analyzed, and a logistic regression risk prediction model was constructed. Variable selection was performed using univariate analysis and multivariate logistic regression. Variables exhibiting P < .1 in univariate analysis were preselected for inclusion in the multivariate logistic regression model. The model was evaluated using the receiver operating characteristic curve, calibration curve, and decision curve analysis. The incidence of coagulation dysfunction did not differ significantly between the modeling and validation groups. Patients in the occurrence group showed a significantly higher rate of blood transfusion within 24 hours, diffuse axonal injury, and long-term use of anticoagulants, while arterial blood pH was significantly lower, indicating an inverse relationship with coagulation dysfunction. Logistic regression analysis identified 4 independent predictors, and the prediction model was formulated. Receiver operating characteristic curve analysis demonstrated good predictive efficacy of the model (area under the curve = 0.798, 95% confidence interval: 0.702-0.894). The calibration curve and decision curve analysis showed high consistency and clinical applicability of the risk prediction model. Coagulation dysfunction in patients with TBI is influenced by multiple risk factors, including blood transfusion within 24 hours, diffuse axonal injury, arterial blood pH value, and long-term use of anticoagulant drugs. The logistic regression risk prediction model based on these factors showed good internal performance; however, it should be considered preliminary and requires external validation before clinical application.
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.