PENGARUH SENAM KAKI DIABETES TERHADAP NILAI ANKLE BRACHIAL INDEX (ABI) DAN NILAI IPSWICH TOUCH TEST (IPTT) PADA PASIEN DM TIPE 2
Bibliographic record
Abstract
Diabetes Melitus (DM) menyebabkan komplikasi yang dapat melibatkan vaskuler dan persarafan seperti oklusi arteri perifer dan neuropati. Penentuan sirkulasi perifer melalui pengukuran Ankle Brachial Index (ABI) merupakan metode invasif untuk memeriksa sirkulasi arteri perifer dan sebagai skrining terhadap adanya penyakit arteri oklusi perifer. Sementara itu, IpTT merupakan metode baru untuk mendeteksi penderita diabetes yang kehilangan sensasi kaki dan sebagai informasi untuk skrining adanya neuropati diabetes. Metode ini mudah, aman, cepat, dan mudah di lakukan dan diajarkan. Penelitian ini bertujuan untuk menilai apakah intervensi senam kaki dapat mempengaruhi Ankle Brachial Index (ABI) dan Nilai Ipswich Touch Test (IpTT) pada pasien DM Tipe 2 di Wilayah Kerja Puskesmas Tejoagung Kota Metro, Lampung. Pengambilan data menggunakan purposive sampling. Sampel pada penelitian ini terbagi menjadi kelompok intervensi (n = 18) dan kelompok kontrol (n = 18). Berdasarakan uji GLM - RM terdapat peningkatan nilai ABI dan IpTT pada kelompok intervensi sepanjang periode follow up (pre test, post test I, dan post test II). dengan p value 0,000. Senam kaki diabetes dapat direkomendasikan sebagai intervensi mandiri keperawatan sebagai upaya pencegahan komplikasi gangguan vaskuler dan persarafan Kata kunci: Diabetes Melitus, Senam Kaki Diabetes, ABI, IpTT
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".