Gangguan Fungsi Kognitif Berkontribusi Terhadap Penurunan Kualitas Hidup Penyintas Kanker Payudara Pasca-kemoterapi
Bibliographic record
Abstract
Penurunan fungsi kognitif seringkali memengaruhi keberfungsian, kualitas hidup, dan integrasi penyintas kanker payudara di komunitasnya. Penelitian ini bertujuan untuk mengidentifikasi hubungan penurunan fungsi kognitif terhadap kualitas hidup penyintas kanker payudara pasca-kemoterapi. Penelitian desain crosssectional ini dilakukan di Rumah Sakit Kanker Dharmais. Responden sebanyak 110 yang diidentifikasi menggunakan metode purposif. Kuesioner untuk mengukur fungsi kognitif adalah Montreal Cognitive Assessment (MoCA) versi Indonesia dan EORTC QLQ C30 untuk kualitas hidup. Rerata skor visuospasial/ eksekutif adalah 4,30 (0,80), penamaan 2,76 (0,45), atensi 4,25 (1,16), bahasa 2,39 (0,80), abstraksi 1,63 (0,52), delayed recall 2,17 (1,01), dan orientasi 5,88 (036). Rerata skor kualitas hidup lebih rendah pada kelompok yang mengalami penurunan fungsi kognitif dibandingkan dengan kelompok yang normal, yaitu 56,76 (13,04) dan 79,47 (10,05), p <0.001. Kesimpulan, penurunan fungsi kognitif berkontribusi terhadap kualitas hidup. Rekomendasi, pengkajian fungsi kognitif dilakukan secara rutin oleh perawat dan perlunya intervensi untuk meningkatkan kualitas hidup para penyintas.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 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".