Marital Status Is a Prognostic Factor for Cardiovascular Mortality but Not a Prognostic Factor for Cancer Mortality in Siewert Type II Adenocarcinoma of the Esophagogastric Junction
Bibliographic record
Abstract
Background: The impact of marital status on the prognosis of patients with Siewert type II adenocarcinoma of the esophagogatric junction (AEG) remained unclear. This study aimed to investigate the associations of marital status with cancer-specific death risk and cardiovascular death risk in Siewert type II AEG patients. Methods: Data for Siewert type II AEG patients were obtained from the Surveillance, Epidemiology, and End Results database from 2010 to 2015. A 1:1 propensity score matching (PSM) was applied to reduce inter-group bias between the married and unmarried groups. Kaplan-Meier analysis, a competing risk model and the Fine-Gray multivariable regression model were used to identify the prognostic value of marital status. Results: In total, 1,623 subjects were included. After PSM, according to Fine-Gray multivariable regression analysis, there was no significant difference in the cumulative cancer-specific death rate between the married and the unmarried groups (hazard ratio (HR): 1.160, 95% confidence interval (CI): 0.994 - 1.354, P = 0.060). Patients in unmarried group had a higher cardiovascular death rate than patients in married group (HR: 3.066, 95% CI: 1.372 - 6.850, P = 0.006). Conclusions: Our study demonstrates that unmarried Siewert type II AEG patients are associated with higher cardiovascular death risk but not cancer-specific death risk compared with married patients.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".