The effect of MLC901 therapy on neutrophil-to-lymphocyte-ratio, platelet-to-lymphocyte-ratio, BDNF, MoCA-INA score, and Barthel-index score in traumatic brain injury patients
Bibliographic record
Abstract
Background: An intervention is needed to prevent secondary-brain-injury (SBI) post-traumatic-brain-injury (TBI) and improved the patient’s clinical outcome. Recent pre-clinical studies found that MLC901, a phytopharmaceutical supplement, has the neuroprotective and neuroregenerative potential to prevent SBI post-TBI. This study aimed to clinically prove the neuroprotection and neuroregeneration effects of MLC901 therapy on TBI through the neutrophil-to-lymphocyte-ratio (NLR), platelet-to-lymphocyte-ratio (PLR), BDNF, MoCA-INA score and Barthel-Index (BI) score. Methods: A randomized-control-group pretest-posttest study in TBI-patients was conducted. Patients were divided randomly into control (standard therapy) and treatment (MLC901 and standard therapy) groups. All of the patient was treated and followed prospectively. The patient’s data such as age, sex, Glasgow coma scale (GCS) score, educational status, NLR, PLR, BDNF levels, BI and MoCA-INA scores were documented and analyzed to get the results. Results: There were no significant characteristic differences between groups before the therapy started. Combination of MLC901 and standard therapy significantly reduced the NLR levels on day-7th (4.68±2.01 vs. 9.72±6.70; p=0.003) and day-30th post-TBI (2.20±0.89 vs. 5.58±4.68; p=0.005), reduced the PLR levels on day-30th post-TBI (137.82±29.66 vs. 213.39±147.49; p=0.031), increased the BI score on day-7th (77.86±23.54 vs. 27.62±27.51; p=0.0001) and day-30th post-TBI (99.52±2.18 vs. 61.43±36.92; p=0.0001), and increased the MoCA-INA score on day-7th (21.10±7.62 vs. 6.24±8.83; p=0.0001) and day-30th post-TBI (27.24±3.13 vs. 12.57±9.40; p=0.0001) compared to the standard therapy alone. There was no significant mean difference in BDNF levels between groups although the treatment group had higher mean BDNF levels compared to the control group. Conclusion: This study proved the benefits of MLC901 therapy as a neuroprotective agent through the anti-neuroinflammatory pathway by reducing the NLR and PLR levels in TBI patients, thus preventing the occurrence of SBI post-TBI and improving the activity of daily living and cognitive function of TBI patients.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".