Low serum albumin levels and liver metastasis are powerful prognostic markers for survival in patients with carcinomas of unknown primary site
Bibliographic record
Abstract
BACKGROUND: The authors investigated how lymphopenia and low serum albumin levels correlate with the prognosis of patients with carcinoma of unknown primary (CUP). METHODS: Univariate and multivariate prognostic factor analyses were conducted in a population of 317 consecutive patients with CUP who were evaluated at the Cross Cancer Institute of Edmonton, Alberta, Canada, from 1998 to 2004. RESULTS: The results from multivariate analysis showed that patients who had a performance status >/=2 (using the World Health Organization scale), a high overall comorbidity score (on the Adult Comorbidity Evaluation 27), liver metastasis, elevated serum lactate dehydrogenase (LDH) levels, lymphopenia (defined as an absolute lymphocyte count >/=0.7 x 10(9)/L), and low serum albumin levels had a worse prognosis. Based on the observation that the presence of liver metastasis and low serum albumin levels were the most powerful adverse prognostic factors, a classification scheme was delineated that took those 2 variables into account. A group of good-risk patients (no liver metastasis and normal serum albumin levels) and a group of poor-risk patients (liver metastasis and/or low serum albumin levels) were identified with median survivals of 371 days and 103 days, respectively (P < .0001). This classification was validated further in an independent data set of 124 patients who were evaluated at 2 French cancer centers: Among those patients, the median survival was 378 days in the good-risk group and 90 days in the poor-risk group (P < .0001). The new prognostic model substantially outperformed the previous standard prognostic model, which was based on performance status and serum LDH levels. CONCLUSIONS: Lymphopenia and low serum albumin levels were identified as 2 new independent markers of prognosis in patients with CUP. Although the authors confirmed the validity of the previous prognostic model, they developed and validated a more powerful, simple model based on the 2 most powerful adverse prognostic factors: liver metastasis and low serum albumin levels. These findings were confirmed in an independent cohort of patients with CUP, and consideration of the authors' improved prognostic model for survival of patients with CUP is 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".