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Record W3113442493 · doi:10.52386/neurona.v37i2.113

PERBEDAAN GANGGUAN KOGNITIF SUBJEK STROKE ISKEMIK BERDASARKAN SISI HEMIPARESIS

2020· article· en· W3113442493 on OpenAlexaboutno aff
Gabriella Gabriella, Budi Riyanto Wreksoatmodjo, Andre Andre

Bibliographic record

VenueMajalah Kedokteran Neurosains Perhimpunan Dokter Spesialis Saraf Indonesia · 2020
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentHemiparesisStroke (engine)Cognitive impairmentMedicineCognitionLateralization of brain functionDementiaUnivariate analysisPopulationAudiologyPsychologyCardiologyPhysical therapyInternal medicineLesionMultivariate analysisPsychiatryDisease

Abstract

fetched live from OpenAlex

DIFFERENCE OF COGNITIVE IMPAIRMENT IN ISCHEMIC STROKE PATIENTS BASED ON HEMIPARESIS SIDEABSTRACTIntroduction: Cognitive impairment in stroke has a significant impact on the quality of life and is different from the location of the lesion. Patients with a lesion in the left cerebral hemisphere tend to have cognitive impairment and dementia.Aim: This study investigates the relationship between the location of the lesion, which is manifested by hemiparesis side, and the occurrence of cognitive impairment in ischemic stroke patients.Method: A cross-sectional study was conducted in the population of ischemic stroke patients at Atma Jaya Hospital, who were registered from January 2014 to December 2018. Cognitive function was measured by the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment Indonesian Version (MoCA-Ina). Data were analyzed univariate and bivariate with the software program, statistical package for the social sciences (SPSS) version 25.0.Result: There were 125 patients included in this study, which predominantly was 55 years old and older (62.4%) and had a low education level (58.4%). The proportion of patients with right-sided hemiparesis (54.4%) was slightly higher than the left-side one (45.6%). No significant relationship was observed between the hemiparesis side and every cognitive function domain measured by MMSE and MoCA-Ina (p-value >0.05).Discussion Hemiparesis side indicating hemisphere lateralization in ischemic stroke patients showed no significant relationship with the occurrence of cognitive impairment based on MMSE and MoCA-Ina score. Keywords: Cognitive impairment, hemisphere lateralization, ischemic stroke, MMSE score, MoCA-Ina scoreABSTRAKPendahuluan: Gangguan kognitif pada stroke menyebabkan penurunan kualitas hidup dan berbeda berdasarkan letak lesi. Berdasarkan letak lesi, lesi di hemisfer serebri kiri lebih sering menyebabkan gangguan kognitif dan demensia.Tujuan: Tujuan penelitian untuk mengetahui pengaruh perbedaan letak lesi dilihat dari sisi hemiparesis terhadap gangguan kognitif pada subjek stroke iskemik.Metode: Studi potong lintang dilakukan pada pasien stroke iskemik di RS Atma Jaya periode tahun 2014- 2018. Fungsi kognitif dinilai dengan menggunakan Mini Mental State Examination(MMSE) danMontreal Cognitive Assesment Indonesian Version(MoCA-Ina). Analisis data dilakukan secara univariat dan bivariat menggunakan menggunakan program sStatistical pPackage for the sSocial sSciences (SPSS) versi 25.0.Hasil: Sebanyak 125 pasien tergabung dalam penelitian ini, yang sebagian besar berusia ≥55 tahun (62,4%) dan memiliki tingkat pendidikan <9 tahun (58,4%). Proporsi pasien dengan hemiparesis kanan (54,4%) lebih besar daripada kiri (45,6%). Tidak terdapat hubungan antara sisi hemiparesis dengan skor MMSE dan MoCA-Ina pada semua ranah (nilai p >0,05).Diskusi: Sisi hemiparesis pasien stroke iskemik yang menunjukkan lateralisasi hemisfer serebri tidak berhubungan dengan gangguan kognitif berdasarkan skor MMSE dan MoCA-Ina.Kata kunci: Gangguan kognitif, lateralisasi hemisfer, skor MMSE, skor MoCA-Ina, stroke iskemik

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
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)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.031
GPT teacher head0.271
Teacher spread0.240 · 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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