Prognostic impact of perineural invasion in intrahepatic cholangiocarcinoma: multicentre study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to investigate the prognostic impact of perineural invasion (PNI) on tumour recurrence and survival among patients with resected intrahepatic cholangiocarcinoma (ICC). METHODS: This was a multicentre, retrospective study of patients who underwent resection with curative intent for ICC between 2000 and 2017. The relationship between PNI, clinicopathological characteristics, and long-term survival was analysed in the overall cohort and the subset of patients with early-stage ICC. RESULTS: Among 1095 patients who underwent resection of ICC, PNI was present in 239 (21.8 per cent). In univariable analysis, PNI was associated with worse disease-free survival (DFS) (median 13.2 versus 16.1 months for patients with and without PNI respectively; P = 0.038) and overall survival (OS) (26.4 versus 41.5 months; P < 0.001). In multivariable analysis, PNI was an independent risk factor associated with reduced DFS (hazard ratio (HR) 1.56, 95 per cent c.i. 1.06 to 2.13; P = 0.019) and OS (HR 1.74, 1.16 to 2.60; P = 0.007). In subgroup analysis of patients with early-stage disease (AJCC T1-2, 981 patients; or N0, 249 patients), PNI remained associated with worse DFS (T1-2: median 13.7 versus 16.6 months in patients with and without PNI respectively, P = 0.019; N0: 11.7 versus 17.5 months, P = 0.022) and OS (T1-2: 28.5 versus 45.7 months, P < 0.001; N0: 34.9 versus 47.5 months, P = 0.036). CONCLUSION: PNI is a strong independent predictor of tumour recurrence and long-term survival following resection of ICC with curative intent, even among patients with early-stage disease. The presence of PNI should be assessed routinely.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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