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Record W4406047103 · doi:10.15562/bmj.v13i3.4822

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

2024· article· en· W4406047103 on OpenAlexaboutno aff
Gede Febby Pratama Kusuma, Sri Maliawan, Tjokorda Gde Bagus Mahadewa, Ni Nyoman Sri Budayanti, Tjokorda Gde Agung Senapathi, Anak Agung Ayu Putri Laksmidewi

Bibliographic record

VenueBali Medical Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicInflammatory Biomarkers in Disease Prognosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBarthel indexTraumatic brain injuryLymphocyteNeutrophil to lymphocyte ratioPlateletInternal medicineMontreal Cognitive AssessmentPhysical therapyImmunologyCognitive impairmentActivities of daily livingDiseasePsychiatry

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.286
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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