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HUBUNGAN NILAI ANKLE BRACHIAL INDEKS DENGAN FUNGSI KOGNITIF PADA LANJUT USIA

2016· article· id· W2745516232 on OpenAlexaboutno aff
Lydia Susanti, Yuliarni Syafrita

Bibliographic record

VenueMajalah Kedokteran Andalas · 2016
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecologyInternal medicine

Abstract

fetched live from OpenAlex

Peningkatan angka harapan hidup menyebabkan pergeseran pola penyakit dari penyakit infeksi ke penyakit degeneratif seperti hipertensi, diabetes melitus, serta aterosklerosis. Aterosklerosis pada tahap awal yang dikenal dengan atherosclerosis asimptomatis sering ditandai dengan adanya Peripheral Arterial Disease (PAD). Ankle Brachial Index (ABI) adalah ratio tekanan sistolik ankle dan brachial yang dapat digunakan untuk menilai severitas oklusi arteri perifer yang merupakan gambaran penyumbatan arteri secara umum. Tujuan penelitian adalah untuk mengetahui hubungan antara nilai ABI dengan fungsi kognitif. Penelitian dilakukan pada 75 pasien lanjut usia yang berobat ke poliklinik saraf RS DR M Djamil Padang dengan metode consecutive sampling. Pemeriksaan fungsi kognitif menggunakan Indonesia Montreal Cognitive Assessment (InaMoCA). Data dianalisa dengan uji χ2 dengan nilai p<0,05. Hasil penelitian didapatkan gangguan sebanyak 48 orang (64%). Nilai ABI yang rendah sejumlah 31 orang (41,3%), normal 44 orang (58,7%). Tidak didapatkan hubungan langsung antara nilai ABI dengan fungsi kognitif (p>0,05). Namun setelah sampel dispesifikasikan berdasarkan jenis kelamin, hubungan antara ABI dengan fungsi kognitif pada wanita bermakna secara statistik (p<0,05). Kesimpulannya, tidak terdapat hubungan antara nilai ABI dengan fungsi kognitif pada lanjut usia, namun terdapat hubungan antara nilai ABI dengan fungsi kognitif pada lanjut usia berjenis kelamin wanita.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.017
GPT teacher head0.273
Teacher spread0.256 · 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; both teacher heads agree on what is shown here.

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
Published2016
Admission routes1
Has abstractyes

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