The relationships of unmet needs with quality of life and characteristics of Indonesian gynecologic cancer survivors
Bibliographic record
Abstract
Gynecologic cancer survivors' complex needs are too often overlooked. This study aimed to identify the associations between unmet needs and quality of life, and selected characteristics of Indonesian gynecologic cancer survivors. This study was a cross-sectional, correlation study. A total of 298 participants completed the Cancer Survivor Unmet Needs (CaSUN), EORTC QLQ-C30, and demographic and clinical-related questionnaires. A higher level of unmet needs was linked to lower perceived quality of life. Higher levels of unmet needs were associated with younger age, lower income, higher educational background, shorter time since diagnosis, more advanced cancer stage, and having combination therapies (p < 0.05). The most frequently reported unmet need of the Indonesian gynecologic cancer survivors was financial support (70.5%). The gynecologic cancer survivors who had completed primary treatment need continuous comprehensive cancer care to help them cope with the lingering or emerging problems related to cancer and its treatment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".