Impact of different risk factors on survival of malignant pleural mesothelioma.
Bibliographic record
Abstract
e20561 Background: Asbestos exposure is main risk factor for pleural mesothelioma. We decided to look to the impact of different risk factors (Tabaco, obesity, sex, stage, histology, prior radiation, cancer family history) and treatment on survival of inoperable mesothelioma. Methods: Using our SARDO database, we retrospectively analyzed 79 patients diagnosed with inoperable malignant pleural mesothelioma diagnosed at CHUM from 2006 to 2016. Asbestos exposure was established either on working history or presence of pleural plaques at the time of diagnostic. Results: The 27 patients (39%) in asbestos-exposed group were younger (median age 67y) and more men but well balanced for other characteristics compared with the control group (n = 52) (median age 75y). Younger the 65y old patients had an overall better mOS at 18m compared to 7mo for patients older than 65y (p = 0.0001). In consequence, the asbestos-exposed patients had a significant better median survival 13mo compared to non-exposed patients 7mo (p = 0,047). Moreover, the exposed group was significantly more treated 55% receiving chemotherapy compared to only 8% in non-exposed group (p = 0,016). Standard chemotherapy treatment was the main independent factor to impact on survival. The treated asbestos-exposure group had a worse 18 mos mOS compared to 24mos in treated control group (p = 0.016). No difference in survival was seen according to sex (p = 0,096), clinical stage (p = 0,417), smoking history (p = 0,069), histology (p = 0.084) and body mass index (p = 0,415). Conclusions: Asbestos exposure had negative impact on survival when controlled for treatment. The mesothelioma treatment is the only independent factor to positively impact on survival in our 79 homogeneous treated patients. Younger age at diagnostic had also a favorable outcome on survival. No impact on survival was seen with tobacco use, obesity, stage, histology and sex in this analysis. The asbestos-exposed group was significantly more treated which is hypothesis generating.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".