ArticleAmerican journal of translational research2026
A preoperative inflammation-oxidative stress imbalance strongly predicts post-traumatic arthritis after acetabular fracture fixation.
Article in American journal of translational research, 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to evaluate the correlation between the development of post-traumatic arthritis (PTA) and a preoperative inflammation and oxidative stress imbalance. Further, the study aimed to evaluate the predictive power of a model based on inflammation and oxidative stress imbalance Index (IOSI).
methodsThis retrospective cohort study was conducted from January 2020 to December 2023 and included 258 patients who underwent open reduction and internal fixation of acetabular fractures (training cohort) and 127 patients from another center (external validation cohort). Blood specimens were collected and analyzed for preoperative and discharge levels of IL-6, TNF-α, MDA, SOD, and IOSI. Multivariate logistic regression was applied to identify independent predictors of PTA. Two predictive models were constructed that were a conventional preoperative indicator prediction model (Risk1) and an IOSI-based model (Risk2). Receiver operating characteristic curves, area under the curve AUC, and net reclassification improvement NRI were used to assess model performance.
resultsPost-traumatic arthritis (PTA) occurred in 66/258 patients (25.6%) in the training cohort. Compared with the non-PTA group, patients who developed PTA had significantly higher preoperative IL-6, TNF-α, and malondialdehyde (MDA) levels and lower superoxide dismutase (SOD) levels (all P<0.001), resulting in a markedly increased preoperative inflammation-oxidative stress imbalance index (IOSI) (P<0.001). Multivariate logistic regression identified delayed time from injury to surgery (OR=8.463, 95% CI 4.107-18.436; P<0.001), concomitant femoral head fracture (OR=2.832, 95% CI 1.226-6.672; P=0.015), and preoperative IOSI (OR=23.388, 95% CI 10.107-60.825; P<0.001) as independent predictors of PTA. Preoperative IOSI showed the best discriminative performance among individual indicators (AUC 0.813-0.919; cut-off 1.302; sensitivity 84.85%; specificity 78.12%). The IOSI-based model (Risk2) achieved an AUC of 0.911 in the training cohort and 0.821 in the external validation cohort, outperforming the conventional model (Risk1; AUC 0.879 and 0.700, respectively). In the training cohort, the AUC difference between Risk2 and Risk1 was not significant (DeLong P=0.232), whereas Risk2 showed significantly improved discrimination in external validation (P<0.05) and better reclassification (NRI=0.3565).
conclusionA preoperative inflammation-oxidative stress imbalance could predict PTA after acetabular fracture fixation.
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.