Effect of Antioxidant Vitamins as Adjuvant Therapy for Sudden Sensorineural Hearing Loss: Systematic Review Study
Bibliographic record
Abstract
IMPORTANCE: Sudden sensorineural hearing loss (SSNHL) is an otological emergency of unknown etiology. Recent reports showed that antioxidant drugs can benefit patients with SSNHL. This study attempted to evaluate the effect of adding antioxidant vitamins as an adjuvant therapy alongside with corticosteroids. OBJECTIVE: To evaluate the effects of the 3 major antioxidant vitamins (A, C, and E) as an adjuvant therapy, administered with corticosteroids, for the treatment of SSNHL in adult patients (≥18 years). DATA SOURCES: MEDLINE, EMBASE, PubMed, Web of Science and Cochrane electronic databases from January 1, 1995, through September 25, 2017. STUDY SELECTION: Published studies of adult patients who received antioxidant vitamins (A, C, E, or any combination of these vitamins) as an adjuvant therapy in addition to the regular treatment (corticosteroids) for SSNHL. Quality assessment was performed using the Cochrane Collaboration Tool for Assessing Risk of Bias. DATA EXTRACTION: Each study had a control group (conventional treatment + placebo) and a trial group (antioxidant vitamin(s) + conventional treatment). RESULTS: From 446 manuscripts identified in the literature, 3 studies were included in the review with 279 patients. The most common vitamins used to treat SSNHL were the 3 major antioxidant vitamins A, C, and E, combined sometimes with other antioxidants such as selenium. CONCLUSIONS AND RELEVANCE: The success of the treatment is increased in patients who received antioxidant vitamins in combination with conventional therapy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".