Repetitive Transcranial Magnetic Stimulation Combined with Ginkgo Diterpene Lactone Meglumine Injection Recover Cognitive and Neurological Functions of Patients with Acute Ischemic Stroke
Bibliographic record
Abstract
BACKGROUND: Acute ischemic stroke (AIS) is a prevalent and challenging neurological condition associated with high mortality and morbidity rates. This study aimed to evaluate the therapeutic efficacy of repetitive transcranial magnetic stimulation (rTMS) combined with ginkgo diterpene lactone meglumine injection (GDLMI) on cognitive and neurological function recovery in patients with AIS. METHODS: A total of 120 patients with AIS, admitted between January 2021 and January 2022, received rTMS combined with GDLMI after admission. Their cognitive and neurological functions were assessed using the Chinese version of the Montreal Cognitive Assessment (MoCA) and the National Institute of Health Stroke Scale (NIHSS) respectively before and after treatment. Additionally, serum levels of lipoprotein-associated phospholipase A2 (Lp-PLA2) and ischemia-modified albumin (IMA) were quantified. Statistical analyses were performed to elucidate potential correlations between Lp-PLA2 and IMA levels and clinical outcomes. RESULTS: After treatment, patients with AIS exhibited significantly improved cognitive and neurological functions, increased MoCA score and decreased NIHSS score compared to those before treatment (p < 0.05). A linear correlation was observed between Lp-PLA2 and IMA levels and the recovery of cognitive function in AIS patients (r = -0.892/-0.764, p < 0.05). Before and after factor adjustment, Lp-PLA2 and IMA were identified as independent influencing factors for the efficiency in cognitive function recovery (p < 0.05). Similarly, Lp-PLA2 and IMA levels were linearly correlated with the recovery of neurological function in AIS patients (r = -0.887/-0.796, p < 0.05). Lp-PLA2 combined with IMA performed better than Lp-PLA2 or IMA alone in predicting the efficiency of rTMS plus GDLMI in promoting the cognitive and neurological function recovery (p < 0.05). CONCLUSIONS: rTMS combined with GDLMI can contribute to the cognitive and neurological function recovery in patients with AIS. Serum levels of Lp-PLA2 and IMA could serve as independent influencing factors for the efficiency in promoting cognitive and neurological function recovery.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".