Optimizing Nutritional Care with Machine Learning: Identifying Sarcopenia Risk Through Body Composition Parameters in Cancer Patients-Insights from the NUTritional and Sarcopenia RIsk SCREENing Project (NUTRISCREEN).

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

9 citing papers in PubMed.

1. Can Unsupervised Machine Learning Support Malnutrition Risk Screening in Older Adults? A Preliminary Study Using Multidimensional Phenotyping and Hierarchical Clustering on Principal Components.Nutrients · 2026
   Article
2. Development and validation of a nomogram to predict recurrence after hepatectomy in overweight patients with hepatocellular carcinoma: a retrospective cohort study.BMC gastroenterology · 2026
   Article
3. Comment on "Preoperative prognostic nutritional index in prediction of surgical complications and oncological outcomes in retroperitoneal sarcoma".Updates in surgery · 2026
   Article
4. Physical Activity, Nutritional Status, and Health-Related Quality of Life in Newly Diagnosed Cancer Patients: Evidence from the NUTRISCREEN Project.Nutrients · 2026
   Observational
5. 101 machine learning algorithms for predicting mortality in critically ill patients with spinal cord injury and sarcopenia: a multi-database study.BMC medical informatics and decision making · 2026
   Observational
6. Preoperative prognostic nutritional index in prediction of surgical complications and oncological outcomes in retroperitoneal sarcoma.Updates in surgery · 2026
   Article
7. Body Composition in Resectable Non-Small Cell Lung Cancer Patients With Preoperative Sarcopenia: A Propensity-Matched Analysis.Journal of cachexia, sarcopenia and muscle · 2026
   Article
8. [Application of Digital Nutrition Technologies in Adult Weight Management].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
   Article
9. Towards Precision in Sarcopenia Assessment: The Challenges of Multimodal Data Analysis in the Era of AI.International journal of molecular sciences · 2025
   Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

24 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

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