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Record W4386422320 · doi:10.53424/balikesirsbd.1274939

The relationship between the lunar cycle and epileptic attacks and their treatment

2023· article· en· W4386422320 on OpenAlexaboutno aff
Hilal Aydın, Oğuzhan Korkut, Aslıhan İZOL, İbrahim Hakan Bucak

Bibliographic record

VenueBalıkesır Health Sciences Journal · 2023
Typearticle
Languageen
FieldPsychology
TopicParanormal Experiences and Beliefs
Canadian institutionsnot available
Fundersnot available
KeywordsFull moonMedicineNeurologyEpilepsyNew moonPediatricsQuarter (Canadian coin)Pediatric NeurologyPsychiatry

Abstract

fetched live from OpenAlex

Objective: The purpose of the present study was to evaluate the potential association between the phases of the moon and seizure attacks and treatment in patients diagnosed with epilepsy at a pediatric neurology clinic. Materials and Methods: 199 patients presenting to the Balıkesir University Medical Faculty pediatric neurology clinic, Turkey, diagnosed with epilepsy based on ILAE criteria were included in the study. The patients’ demographic characteristics, medications used, and family histories, and the frequency and duration of attacks were investigated retrospectively. Results: The mean age of the patients enrolled in the study (N=199) was 10.07±4.90 years. The patients were most frequently in the 12-18 age range (N=83, 41.7%). The majority of patients were male (N=104, 52.3%). Analysis revealed that seizures were most frequent in the full moon (N=54, 27.1%), followed by the new moon (N=52, 26.1%) and first quarter (N=47, 23.6%), and were least common in the third quarter (N=46, 23.1%). No statistically significant variation was determined in terms of attack frequencies during the different lunar phases between patients receiving monotherapy and polytherapy (p=0.206). Conclusion: The results of the present study suggest that there is no relationship between the lunar cycle and the frequency

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
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 head0.131
GPT teacher head0.436
Teacher spread0.306 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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