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Record W4206865637

Effects of cerebral artery thrombectomy on efficacy, safety, cognitive function and peripheral blood Aβ, IL-6 and TNF-α levels in patients with acute cerebral infarction.

2021· article· en· W4206865637 on OpenAlexaboutno aff
Yiyi Zhu, Zengjun Wang, Liandong Zhao

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineModified Rankin ScaleMontreal Cognitive AssessmentInternal medicineIncidence (geometry)Stroke (engine)PeripheralCerebral infarctionTumor necrosis factor alphaAnesthesiaCardiologyIschemiaCognitive impairmentIschemic strokeDisease
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: Acute cerebral infarction (ACI) can lead to death or disability, posing a serious threat to human health. This study aimed to investigate the effects of cerebral artery thrombectomy on the efficacy, safety, cognitive function and peripheral blood amyloid-β (Aβ), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) levels in patients with ACI. METHODS: The clinical data of 169 patients with ACI admitted to our hospital from April 2019 to September 2020 were analyzed retrospectively. Among them, 100 patients were treated with cerebral artery thrombectomy and assigned to the research group, and the other 69 patients were intervened by conventional treatment and assigned to the control group. The clinical effects in the two groups were observed and compared. The cognitive function was evaluated by the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment Scale (MoCA), the neurological dysfunction was assessed by the National Institutes of Health Stroke Scale (NIHSS), and the prognosis was determined by the Modified Rankin Scale (mRS). Peripheral blood Aβ1-40, Aβ1-42, IL-6 and TNF-α levels were determined using the enzyme-linked immunosorbent assay (ELISA). The incidence of adverse reactions and complications was statistically analyzed. RESULTS: The overall response rate (ORR) was notably higher in the research group compared with the control group. Aβ1-40, Aβ1-42, IL-6 and TNF-α levels showed no significant difference between the two groups before treatment (P>0.05). After treatment, serum Aβ1-40 level was lower and Aβ1-42 was higher in the research group compared with the control group at each time point. Serum IL-6 level was markedly higher within 24 h while it was dramatically lower 24 h after treatment in the research group as compared with the control group. At 24 h, 7 d and 14 d after treatment, serum TNF-α level in the research group was lower than that in the control group (P<0.05). The MMSE and MoCA scores showed no significant differences between the two groups before treatment; however, the two scores in the research group were statistically higher than those in the control group after treatment. In addition, lower NIHSS and mRS scores were determined in the research group compared with the control group after treatment. Moreover, except for the statistically significant difference in the number of cases with cognitive dysfunction (P<0.05), there was no significant difference in the incidence of other adverse reactions between the research group and the control group (P>0.05). CONCLUSIONS: Cerebral artery thrombectomy is effective in the treatment of ACI, which can improve the cognitive function of patients and alleviate the high Aβ accumulation and inflammation in the central nervous system, with a high safety profile.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.202
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2021
Admission routes1
Has abstractyes

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