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Record W7034040810

To search for targets of therapy that changes the course of Parkinson’s disease

2022· article· en· W7034040810 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2022
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsDiseaseProgressive diseaseAge of onsetAntibody
DOInot available

Abstract

fetched live from OpenAlex

Background. Parkinson’s disease (PD) is a multisystem disease that requires a more comprehensive approach to its study and treatment. The purpose was to give clinical and laboratory characteristics of PD patients, in whom the onset of motor symptoms of the disease is associated with the action of precipitating factors and provide a theoretical justification for the underlying and/or associated electrophysiological phenomena. Materials and me-thods. Two hundred and seven patients with PD were examined. Questionnaire analysis and laboratory research were performed. Results. Among patients with a rapidly progressive type of PD, pain during the survey was registered in 49 (42.2 %) cases, and stress in 73 (62.3 %). In cases of a slowly progressive course, 14 (15.4 %) individuals experienced pain syndromes, and 53 (58.2 %) patients — stress. Statistically significant differences between patients with rapidly and slowly progressive PD courses were noted in the number of cases of herpetic diseases, inflammatory diseases of the oral cavity. The results of laboratory tests also showed statistically significant differences between these groups in the blood serum level of IL1β and cortisol, the level of IL1β in the cerebrospinal fluid, and the albumin coefficient. The patients with a rapidly progressive type of disease presented with a greater number of precipitating factors for PD development. In patients with rapidly progressive PD, the number of precipitating factors and the serum level of antibodies to α-synuclein (r = –0.18), IL10 (r = 0.31), and cortisol (r = 0.18) correlated. Some objective characteristics of non-motor PD symptoms statistically significantly correlated with a level of laboratory biomarkers in blood serum (Montreal Cognitive Assessment value with cortisol level (r = –0.4); Pittsburgh Sleep Quality Index value with antibodies to α-synuclein (r = 0.31); Epworth Sleepiness Scale value with IL10 level (r = –0.21)). Significant acute psychological stresses and pain syndromes may change the pattern of propagation of depolarization waves in the nervous system with the formation of “autowave penumbra”. Possible clinical criteria for the effectiveness of therapy that change the course of PD are presented. Conclusions. Pain syndromes and acute significant psychological stresses not only contribute to the onset of motor symptoms of PD but also lead to the rapid progression of the disease. The effect of precipitating factors may manifest itself not only in clinical, morphological, and laboratory changes but also in changes in the excitability of nerve cells. The electrophysiological penumbra (“autowave penumbra”) can be considered a possible target for the action of a therapy method that modifies the course of PD.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.110
GPT teacher head0.362
Teacher spread0.251 · 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 designTheoretical or conceptual
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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