PROGNOSTIC EVALUATION OF THE NUTRITIONAL PROGNOSTIC INDEX IN PATIENTS WITH NON-METASTATIC RECTAL CANCER
Why this work is in the frame
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Bibliographic record
Abstract
Rectal cancer (RC) is one of the leading causes of cancer mortality worldwide. Recent studies indicate that systemic inflammation and nutritional status are associated with the prognosis of cancer patients. The prognostic nutritional index (PNI) has been increasingly studied as a predictor of survival outcome. However, despite these advances, there are few studies evaluating the prognostic capacity of this index in patients with RC. To analyze the impact of PNI on the survival of patients with non-metastatic RC undergoing oncological treatment. This is a retrospective, cross-sectional and analytical study. It included patients diagnosed with stage I, II and III rectal carcinoma who had been treated surgically, with or without neoadjuvant and adjuvant chemotherapy, and who were attended to at the Clinical Oncology outpatient clinic of the Hospital das Clínicas of the University of Campinas between January 2000 and December 2016. Patients were categorized into low and high PNI, according to the median of the sample. PNI was calculated using the formula: PNI = (10xserum albumin [g/dl]) + 0.005xlymphocytes/μL). Clinical variables, body composition and systemic inflammatory indices were also analyzed. Body composition was analyzed using computed tomography, and skeletal muscle compartments and subcutaneous and visceral adipose tissue were assessed using SliceOmatic software (Tomovision, Canada). Statistical analyses were carried out using Stata software version 12.0 (Stata Corp LP®). This research was approved by the UNICAMP Research Ethics Committee (CAAE: 22438319.9.0000.5404). The sample consisted of 298 patients, 118 of whom had low PNI. The group with low PNI had a lower muscle mass index (p = 0.025) and subcutaneous adipose tissue index (p = 0.044), and higher subcutaneous (p =0.049) and visceral (p = 0.012) adipose tissue radiodensity. Median disease-free survival was 24.5 months for patients with low PNI (HR 1.85; CI 1.30-2.62; p = 0.001). Patients with low PNI had a lower median disease-free survival (mDS) of 24.5 months compared to 107.4 months for the high PNI group [HR 1.85; IC 1.30-2.62; p = 0.001]. Median overall survival (mOS) was 75.3 months for the low NPI group and 140.4 months for the high NPI group (HR 1.67; CI 1.13-2.48; p = 0.011). The PNI performed at diagnosis is a prognostic tool for assessing the clinical outcome of patients with non-metastatic RC. Nutritional status and systemic inflammation are associated with survival in cancer patients. The PNI is a marker that combines both conditions and has been shown to be an important prognostic tool for desease-free survival (DFS) and overall survival (OS) in RC. The PNI is a simple, practical tool that uses low-cost clinical evaluation parameters and can therefore be easily implemented in clinical practice.
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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 | 0.000 |
| 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