Blood-based-inflammation-markers, body mass index, and survival of nonmetastatic esophageal cancer.
Bibliographic record
Abstract
324 Background: Blood-based-inflammation-markers (BBIM) and Body Mass Index (BMI) have been associated with overall survival (OS) in a number of cancers. Inflammation and obesity have biological interactions. We evaluated the role of Neutrophil-to-Lymphocyte-Ratio (NLR), Platelet-to-Lymphocyte-Ratio (PLR) and Systemic-Inflammation-Index (SII) in conjunction with BMI as predictors of OS in localized/locally-advanced-esophageal cancer (LEC/LAEC). Methods: LEC/LAEC patients treated from 2006-2014 had the following variables analyzed both as continuous and categorical: BMI (low <25 kg/m2, high ≥25 kg/m2), NLR (low <4, high ≥4), PLR (low <232, high ≥232), and SII (low <1375, high ≥1375), with OS. Univariate (UVA) and Multivariate analysis (MVA) were analyzed using Cox regression (adjusted hazard ratios, aHR; 95% Confidence Intervals, CI). MVA models of OS were built, assessing different categorical combinations of BBIM factors with and without BMI. Results: Of 411 pts, 79% were males, median age was 63.5 years, 67% were adenocarcinomas; Stage I/II/III: 14%, 28%, 59%; Median BMI was 26.5kg/m2 and BMI distribution was: 3% underweight, 40% normal weight, 37% overweight and 20% obese. After a median follow-up of 87 months, 204 pts recurred, and 257 died. In MVA, BMI alone had no impact on OS (aHR 0.89, CI 0.7-1.1, p=0.15); individually as continuous variables, higher SII (p=0.03) and higher NLR (p=0.006) were inversely associated with OS whereas higher PLR was not (p=0.10). In an MVA of categorical combinations of BMI and BBIM on OS, patients in the high-BMI/low-PLR group were at lower risk of death when compared to all other groups (aHR=0.65, 95%CI:0.5-0.8, p=0.007). Similar non-statistically significant trends were shown when SII and NLR were individually combined with BMI (aHR=0.77, 95%CI:0.6-1.0, p=0.09; aHR=0.74, 95%CI:0.5-1.0, p=0.05, respectively). Conclusions: Our results suggest that in LEC/LAEC pts, high BMI and low PLR together are associated with improved OS when compared to pts with low BMI and/or high PLR. NLR and SII alone were associated with OS. Further studies evaluating the underlying mechanisms of BBMI, in particular PLR and inflammation/obesity are warranted.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".