Hubungan Indeks Aterogenik Plasma Dengan Derajat Keparahan Neuropati Diabetik Perifer Pada Pasien Diabetes Melitus Tipe 2 Di Rsud Dr. Moewardi
Bibliographic record
Abstract
AbstrakDiabetes melitus (DM) adalah kelainan metabolik yang ditandai dengan kenaikan kadar guladarah akibat kerusakan sekresi insulin. Komplikasi DM yang paling banyak adalah neuropatidiabetik perifer (NDP) dengan prevalensi 50-60%. Dislipidemia aterogenik merupakanfaktor resiko metabolik sekaligus vaskuler yang berperan pada patogenesis NDP. Kombinasipenilaian profil lipid dengan rasio lipid TG/HDL (indeks aterogenik) dapat mengetahuiadanya aterosklerosis yang tersembunyi dan berhubungan dengan derajat keparahan NDP.Peneliti ingin menganalisis hubungan indeks aterogenik plasma terhadap derajat keparahanneuropati diabetik perifer pada penderita DM tipe 2. Penelitian ini menggunakan desainanalitik observasional potong lintang dari bulan November 2018 – Januari 2019 terhadap 51penderita DM tipe 2 di bangsal Neurologi dan Penyakit Dalam serta poliklinik PenyakitDalam RSUD Dr. Moewardi Surakarta. Pemeriksaan indeks aterogenik plasma berdasarkanperhitungan lipid LogTG/HDL dan derajat keparahan NDP dengan modifed Toronto ClinicalNeuropathy Scoring (mTCNS). Data dianalisis dengan menggunakan program SPSS 22.0.Hasil penelitian melibatkan 28 pasien laki-laki dan 23 perempuan dengan indeks aterogenik(IA) rendah 15 orang, IA sedang 9 orang dan IA tinggi 27 orang, dengan rerata 0.158. Daripengisian skor mTCNS didapatkan skor mTCNS rendah 17 orang (33.33%), skor sedang 19orang (37,2%) dan mTCNS tinggi 15 orang (29.41%), dengan rerata 14,11 ± 8,022. Darihasil uji regresi linier IA dengan skor mTCNS didapatkan nilai p=0,000, dengan nilaiAdjusted R2 sebesar 0,464. Dari penelitian dapat disimpulkan terdapat hubungan antaraindeks aterogenik plasma terhadap derajat keparahan NDP pada pasien DM tipe 2.Hubungan tersebut merupakan hubungan positif (searah) yang berarti semakin tinggi indeksAterogenik maka derajat keparahan NDP akan cenderung semakin tinggi. Kata Kunci : Derajat keparahan Neuropati Diabetik Perifer, Indeks aterogenik plasma
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 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) | 0.029 | 0.008 |
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".