ArticleHead & neck2026
Fuel for Recovery: Predicting G-Tube Dependence in HPV-Negative Operable HNSCC.
Article in Head & neck, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
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Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHPV-negative head and neck squamous cell carcinoma (HNSCC) patients can face prolonged gastrostomy tube (g-tube) dependence, affecting quality of life and delaying treatment. Existing models lack key health metrics like sarcopenia; this study develops a risk model to enhance preoperative assessment.
methodsThis study analyzed 265 HNSCC patients. Sarcopenia was assessed via cervical paraspinal skeletal muscle mass (C3) on CT scans. Patients requiring g-tube support > 28 days were identified. Risk models were developed and compared to the PEG Score. A 50-patient validation cohort assessed model performance.
resultsKey predictors included male sex, sarcopenia, prior radiotherapy, and adjuvant therapy. Logistic regression (LR) model had the highest AUC (0.78); followed by Recursive Partitioning analysis (RPA) model (0.76), both outperforming the PEG Score (0.67). RPA model maintained superior accuracy in validation (AUC = 0.79).
conclusionRPA model outperformed PEG Score, offering a more precise risk tool for preoperative planning and early intervention.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.