182: Towards Gender Equality and Equity in Radiation Oncology: Career Entry and Exit Trends in the Canadian Radiation Oncologist Workforce with Projection Modeling to 2040
Bibliographic record
Abstract
CARO VSM 2020 period, one out of 25 cancer cases presented with synchronous lung metastasis.Synchronous lung metastases most commonly arose from primary lung cancers, colorectal cancers, kidney cancers, pancreatic cancers and breast cancers.The proportion of cancer cases presenting with synchronous lung metastasis increased over time.At a median follow-up of 33 months, the median survival of all metastatic cases with synchronous lung metastasis was five months, and the two-year overall survival was 17.4%.De novo metastatic patients with lung metastases had worse overall survival (hazard ratio = 1.22 (1.21 to 1.23), p<0.001) compared to those with only extrapulmonary metastases, controlling for potential confounders.The presence of synchronous lung metastasis had the greatest negative impact on the overall survival of patients with metastatic cancers of the vulva and vagina (HR=2.32[1.86-2.91],p<0.001), testis (HR=2.14[1.69-2.70],p<0.001), oropharynx (excluding tongue and tonsil, HR=1.85 [1.26-2.73],p=0.019), tonsil (HR = 1.77 [1.36-2.31],p<0.001) and larynx (HR=1.71[1.38-2.12],p<0.001).Conclusions: Synchronous lung metastasis occurs frequently and results in poorer patient outcomes.As treatment for lung metastases becomes more complicated, synchronous lung metastasis represents a growing public health concern.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".