Use of an Abridged Scored Patient-Generated Subjective Global Assessment (abPG-SGA) as a Nutritional Screening Tool for Cancer Patients in an Outpatient Setting
Why this work is in the frame
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Bibliographic record
Abstract
The scored Patient-Generated Subjective Global Assessment tool (PG-SGA), regarded as the most appropriate means of identifying malnutrition in cancer patients, is often challenging to implement in a busy outpatient setting. We assessed the validity of an abridged version of the PG-SGA (abPG-SGA), which forgoes the physical examination, and compared its usefulness in discerning malnutrition to the full PG-SGA and Malnutrition Screening Tool (MST). The nutritional status of 90 oncology outpatients receiving chemotherapy was assessed according to SGA global rating, PG-SGA, and MST. Receiver operating characteristic (ROC) curves were generated to estimate the sensitivity and specificity of various cut-off scores for malnutrition. Thirty-six percent of patients were malnourished (SGA). The abPG-SGA yielded 94% sensitivity and 78% specificity and area under the curve (AUC) = 0.956, which was slightly lower than PG-SGA (97% sensitivity, 86% specificity, AUC = 0.967) and higher than MST (81% sensitivity, 72% specificity, AUC = 0.823). Patient reported symptoms included loss of appetite (30%), altered taste (31%), fatigue (30%), and decreased ability to perform activities of daily living (53%). In conclusion, the abPG-SGA is a practical, informative and valid tool for detecting malnutrition in the outpatient oncology setting.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it