Efficacy of Alpha Lipoic Acid Supplementation In Chemotherapy-Induced Peripheral Neuropathy
Bibliographic record
Abstract
A B S T R A C TBackground. Chemotherapy-induced peripheral neuropathy is a side effect ofseveral chemotherapy drugs and a significant cause of chronic pain in cancerpatients, which affects patients' long-term quality of life. The neurotoxicchemotherapy agents most reported to cause neuropathic pains are platinum andtaxane. This study aimed to determine the efficacy of alpha-lipoic acidsupplementation in chemotherapy patients. Methods. This study used arandomized, double-blind clinical trial in the oncology haematology clinic in theDepartment of Internal Medicine at Mohammad Hoesin General Hospital Palembangfrom November 2018 to July 2019. Samples were taken from patients who met theinclusion criteria and signed informed consent forms to join the study. This studyused SPSS version 22.0 for Windows to analyze the data.Results. This researchstudied 30 subjects who were divided into alpha lipoic acid groups and placebogroups with 15 samples each. The alpha-lipoic acid group showed a significantdecline in the Toronto Clinical Scoring System (TCSS) after treatment (p = 0.000)compared to the placebo group (p = 0.164). Conclusions. Treatment with a 600 mgsingle dose each day of alpha-lipoic acid for 12 weeks effectively improved patientscondition significantly.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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) | 0.002 | 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".