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Record W2528814782 · doi:10.14710/dmj.v5i4.14244

PERBEDAAN FUNGSI KOGNITIF PADA LANSIA HIPERTENSI DENGAN DAN TANPA DIABETES MELLITUS

2016· article· id· W2528814782 on OpenAlexaboutno aff
Ashari Adi Abimantrana, Charles Limantoro, Yosef Purwoko

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetes mellitusGynecologyEndocrinology

Abstract

fetched live from OpenAlex

Latar Belakang : Diabetes mellitus dapat memperburuk gangguan fungsi kognitif melalui mekanisme vaskular dan non vaskular. Tujuan : Menilai perbedaan fungsi kognitif pada lansia hipertensi dengan diabetes mellitus dan tanpa diabetes mellitus Metode : Jenis penelitian adalah penelitian observasional dengan desain belah lintang. dilaksanakan di poliklinik penyakit dalam dan instalasi rawat jalan geriatri RSUP Dr. Kariadi Semarang pada bulan Maret sampai bulan Mei 2016. Subjek penelitian adalah pasien lansia rawat jalan geriatri dan penyakit dalam dengan hipertensi (n=30). Subjek kemudian dibagi menjadi 2 kelompok berdasarkan status diabetes mellitusnya. Status diabetes mellitus dan hipertensi diketahui dari catatan medik rawat jalan, sedangkan fungsi kognitif diukur dengan kuesioner Montreal Cognitive Assessment versi Indonesia (MoCA-Ina). Hasil : Hasil pemeriksaan fungsi kognitif yang dilakukan pada 30 subjek didapatkan rerata 23,80±2,27 pada kelompok lansia hipertensi tanpa DM dan 21,80±2,24 pada kelompok lansia hipertensi dengan DM (p=0,022). Domain kognitif yang terganggu pada kelompok lansia hipertensi dengan DM bila dibandingkan dengan kelompok hipertensi tanpa DM adalah domain delayed recall (p=0,009). Semua domain kognitif pada kelompok hipertensi tanpa DM lebih baik bila dibandingkan dengan kelompok hipertensi dengan DM. Kesimpulan : Diabetes mellitus memperburuk fungsi kognitif, khususnya domain delayed recall pada lansia hipertensi.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.004
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.202
GPT teacher head0.515
Teacher spread0.313 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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