20-year epidemiology and treatment experience with lung cancer in Manitoba, Canada
Bibliographic record
Abstract
17041 Background: Surgical techniques, radiotherapeutic technology, and systemic therapies have evolved to improve the care of lung cancer patients. We sought to determine the impact of these improvements on the outcome and pattern of care for patients diagnosed with lung cancer in Manitoba. Methods: Patients diagnosed with non-small cell lung cancer (NSCLC) or small cell lung cancer (SCLC) from January 1, 1986 to December 31, 2005 were identified from the Manitoba Cancer Registry (MCR). Demographic, diagnostic, treatment, and outcome data were extracted and analyzed to determine changes over time. Joinpoint Regression Program 3.0 was used for linear regression analysis. Results: 10 679 diagnoses of NSCLC (84.3%) and 1983 diagnoses of SCLC (15.7%) were identified from the MCR. The mean age at diagnosis for NSCLC was 68.7 years, with an increasing linear trend over time (slope (m) = .19, p < .001). There was a trend away from primary surgical treatment (m = -.30, p = .005) and chemotherapy and/or radiotherapy (CRT) (m = - .29, p=.015) and towards no active treatment (m = .59, p < .001). A positive linear trend in survival was seen for patients with NSCLC whose primary treatment was surgical (m = .70, p<.001). For patients treated with CRT, there was an inflection point at 1994 with no trend prior (m= .03, p = .92) and a significant positive trend after (m = .58, p = .029). Overall survival of all NSCLC patients did not follow a trend from 1986 until 1998 (m = -.01, p = 0.97), but has shown a significant linear trend after the 1998 inflection point (m = .96, p = .036). The mean age at diagnosis for SCLC was 66.7 years, with no significant change over time (m = .075, p=.088). There was no significant improvement in survival over time with CRT (m = .13, p=.25) or in the proportion treated with CRT (m = 0.20, p=.51). Conclusions: Oncologic treatment has been administered more selectively to patients with NSCLC over time. There has been improved survival of NSCLC patients treated surgically and non-surgically that has translated into an improvement in the overall survival of NSCLC patients in Manitoba. There has been little change in the treatment pattern and outcome of patients with SCLC over time. No significant financial relationships to disclose.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".