An international study of multitrial data investigating quality of life and symptoms as prognostic factors for survival in different cancer sites.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
6002 Background: The prognostic value for survival of HRQOL data derived from self-report questionnaires, has been well documented in cancer research. The objective of this study was to examine the prognostic value of HRQOL parameters for different cancer sites using one standardized and validated patient self-assessment tool. Methods: A total of 11 different cancer sites, pooled from 30 European Organisation for Research and Treatment of Cancer (EORTC) Randomized Controlled Trials (RCTs), were selected for this study. For each cancer site, univariate and multivariate Cox proportional hazard modeling was used to assess the prognostic value (p<0.05) of 15 HRQOL parameters, assessed with the EORTC QLQ-C30 at baseline before randomization, for overall survival. Models were adjusted for the parameters age, gender, distant metastasis, World Health Organization performance status and stratified by clinical study. Results: A total of 7,417 patients completed the EORTC QLQ-C30 before randomization. For brain cancer cognitive functioning (CF) (hazard ratio (HR) =0.95; p<.0001) was prognostic. For breast cancer nausea and vomiting (NV) (HR=1.17; p=0.0011) was a prognostic indicator. For colorectal cancer physical functioning (PF) (HR=0.93; p<.0001), NV (HR=1.07; p<.0001), and appetite loss (AP) (HR=1.07; p<.0001) predicted survival. For esophageal cancer PF (HR=0.88; p=0.0072) and for head and neck cancer NV (HR=1.14; p=0.0097) were prognostic. For lung cancer PF (HR=0.94; p=0.0006) and pain (HR=1.08; p<0.0001), for melanoma dyspnea (HR=1.06; p<.0001), for ovarian cancer NV (HR=1.2; p<.0001), for pancreatic cancer global QOL (HR=0.83; p=0.0073), for prostate cancer role functioning (RF) (HR=0.96; p=0.006) and AP (HR=1.07; p<.0001), and for testis cancer RF (HR=0.81; p=0.0144) were predictors of survival. Conclusions: Our findings show that different HRQOL parameters provide prognostic information for survival for patients with different tumor sites and that no single HRQOL scale can predict survival in all cancer patients. Thus, each cancer site needs careful examination and no single QOL paramenter can predict survival in all cancer diseases.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it