Biomarkers of Oxidative Stress and Their Clinical Relevance in Type 2 Diabetes Mellitus Patients: A Systematic Review
Bibliographic record
Abstract
Assessing oxidative stress is vital in managing type 2 diabetes mellitus (T2DM) and its complications. This systematic review aims to identify the most important oxidative stress markers in T2DM patients and predict associated complications. A literature search was conducted from 2013 to 2023, focusing on case-control, cohort, cross-sectional, and randomized control trials. The included studies had open access and scientific methodologies for assessing oxidative stress markers, while the excluded studies were not published in English or lacked primary objectives related to oxidative stress markers and T2DM or its complications. The quality of eligible studies was evaluated using the Newcastle-Ottawa Scale (NOS) for case-control, cohort, and cross-sectional studies and the Jadad Scale for RCTs. Eighteen studies were selected for the review and 25 potential markers like malondialdehyde (MDA), 11 thiobarbituric acid reactive substances (TBARS), 8-hydroxydeoxyguanosine (8-OHdG), glutathione (GSH), superoxide dismutase (SOD), and isoprostanes were found to be the most commonly used markers to assess oxidative stress in T2DM. These markers help to assess oxidative stress levels in T2DM individuals as well as correlate with diabetic complications. Therefore, assessment and understanding of the role of oxidative stress in T2DM pathophysiology are crucial for improving patient care and mitigating complications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".