HUBUNGAN KADAR DICKKOPF-RELATED PROTEIN-1 (DKK-1) PLASMA DENGAN GANGGUAN FUNGSI KOGNITIF PADA PENDERITA HUMAN IMMUNODEFICIENCY VIRUS (HIV)
Bibliographic record
Abstract
Latar Belakang: Dickkopf related protein – 1 (DKK-1) merupakan suatu protein antagonis terhadap sinyal Wingless (Wnt)-β catenin. Disregulasi sinyal Wnt-β catenin oleh DKK-1 dapat menyebabkan gangguan fungsi kognitif. Gangguan fungsi kognitif pada penderita HIV atau HIV associated neurocognitive disorder (HAND) merupakan spektrum gangguan kognitif terkait neuroinvasi dan neuroinflamasi HIV yang secara signifikan berakibat pada gangguan fungsi aktifitas sehari-hari. Penelitian ini bertujuan untuk menilai hubungan antara kadar DKK-1 plasma dengan gangguan fungsi kognitif pada penderita HIV. \n \nMetode: Penelitian ini menggunakan desain cross-sectional, yang terdiri dari 84 sampel penderita HIV yang berobat ke poliklinik voluntary counseling and testing (VCT) RS Dr. M. Djamil Padang dalam periode Desember 2022-Maret 2023, yang memenuhi kriteri inklusi dan eksklusi. Fungsi kognitif dinilai menggunakan pemeriksaan Montreal Cognitive Assesment versi Indonesia (MoCa-Ina) dan fungsi aktifitas sehari-hari menggunakan pemeriksaan Instrumental Activity of Daily Living (IADL). Kadar DKK-1 plasma diukur dengan metode Enzyme-linked immunosorbent assay (ELISA). Analisis data dilakukan dengan SPSS. \nHasil: Rerata kadar DKK-1 plasma penderita HIV adalah 358,4 (+ 157,6) pg/mL. Gangguan tipe ANI ditemukan sebanyak 78,6%, MND sebanyak 21,4 %, dan tidak ada tipe HAD. Terdapat hubungan bermakna antara kadar DKK-1 plasma dengan gangguan fungsi kognitif pada penderita HIV (p=0,025). Namun tidak terdapat perbedaan bermakna pada kadar DKK-1 plasma antara gangguan kognitif tipe ANI dan MND. \nKesimpulan: Terdapat hubungan antara kadar DKK-1 plasma dengan gangguan fungsi kognitif pada penderita HIV.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".