ArticleInternational dental journal2026
Aspartate Aminotransferase/Alanine Aminotransferase Ratio Predicts the Post-surgical Prognosis of Patients with Oral Squamous Cell Carcinoma.
Article in International dental journal, 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesSurvival rates in patients with oral squamous cell carcinoma (OSCC) have failed to improve greatly over time, and novel biomarkers are urgently needed. Therefore, the aim was to evaluate the predictive ability of the pre-treatment serum aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio (SLR) for the prognosis of patients with OSCC. MATERIALS AND
methodsThis cohort study based on a prospectively maintained database included 552 patients who were diagnosed with primary OSCC and underwent surgery between August 2011 and January 2022. The pre-treatment SLR was determined in each patient by dividing the AST levels by the ALT concentrations. Propensity score matching (PSM) analysis was performed to adjust for potential confounders. COX proportional hazards models, as well as generalized boosted regression model (GBM) and random survival forest (RSF) algorithms were used to investigate the predictive value of the SLR in determining the prognosis of patients with OSCC.
resultsX-tile software was used to determine the SLR to stratify patients into low-SLR (SLR < 1.50, n = 445) and high-SLR (SLR ≥ 1.50, n = 107). After PSM, all covariates were determined to be well-balanced between the two groups in the matched cohort (all standardized mean differences (SMDs) < 0.1). The high-SLR group exhibited significantly poorer overall survival (OS) compared with that of the low-SLR group based on the multivariate Cox regression modeling in both the original (hazard ratio (HR) = 1.55; 95% confidence interval (CI): 1.02-2.36) and matched (HR = 1.81; 95% CI: 1.13-2.91) cohorts. Furthermore, comparative model analysis demonstrated a moderate improvement in predictive performance when SLR was included in the models (P = .017 in the original cohort; P = .008 in the matched cohort).
conclusionsIn conclusion, the pre-treatment SLR serves as an independent prognostic factor for OS in surgical OSCC patients and enhances the performance of prognostic models, indicating its potential as a clinical tool for outcome prediction.
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.