ArticleFrontiers in nutrition2024
Investigating the clinical predictive utility of inflammatory markers and nomogram development in colorectal cancer patients with malnutrition.
Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk prediction models for malnutrition in patients with cancer: a systematic review.Frontiers in nutrition · 2026Pooled it
- Risk prediction models for malnutrition in cancer patients: a systematic review and meta-analysis.Frontiers in nutrition · 2025Pooled it
- Added Value of Quadriceps Muscle Layer Thickness to modified Nutrition Risk in the Critically Ill (mNUTRIC) Score in Predicting Clinical Outcomes in Critically Ill Patients: A Prospective Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026Article
- Establishment and validation of a machine learning model to stratify malnutrition risk in hospitalized older patients with chronic heart failure.Asia Pacific journal of clinical nutrition · 2026Article
- Development and validation of a nomogram for predicting axillary reverse mapping lymph node metastasis in breast cancer patients.Frontiers in oncology · 2026Article
- Malnutrition predicts severe complications but not survival in laryngeal cancer surgery: a propensity-matched analysis.Frontiers in nutrition · 2026Article
- A low-cost bedside nomogram integrating TSF and pain for predicting severe malnutrition in nasopharyngeal carcinoma: a prospective cohort study.Frontiers in nutrition · 2026Article
- The prognosis value of geriatric nutritional risk index and associated genes in elderly patients with locally advanced rectal cancer following neoadjuvant chemoradiotherapy.Nutrition journal · 2025Article
- Association of prognostic nutritional index and severe abdominal aortic calcification in middle-aged adults: a cross-sectional study.BMC cardiovascular disorders · 2025Article
- Prognostic significance of nutritional and inflammatory markers in colorectal cancer.World journal of clinical oncology · 2025Article
- The role of radiotherapy planning images in monitoring malnutrition and predicting prognosis in head and neck cancer patients: a pilot study.Radiation oncology (London, England) · 2025Article
- Combined Pan-Immune-Inflammation Value and Prognostic Nutritional Index as a Prognostic Biomarker for Colorectal Cancer Undergoing Enterectomy.Journal of inflammation research · 2025Article
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7 authors.
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Abstract
Objective: The aim of this study is to investigate the relationship and prognostic significance of serum neutrophil-lymphocyte ratio (NLR), systemic immune-inflammatory index (SII), platelet-lymphocyte ratio (PLR), and prognostic nutritional index (PNI) in colorectal cancer (CRC) patients with malnutrition, as well as to construct a nomogram for predicting the onset of malnutrition. Methods: The clinical data of 391 inpatients who were hospitalized from December 1, 2021 to January 31, 2023 the diagnosis of CRC were selected and divided into a malnutrition group (121 cases) and a well-nourished group (270 cases) according to whether they were malnourished or not. Focusing on comparing the differences in serum NLR, PLR, SII index, PNI index and general information between the two groups, the Binary logistics regression analysis was used to analyze the factors affecting malnutrition, and receiver operating characteristic (ROC) curves were established to assess the predictive value of serum NLR, PLR, SII index, and PNI index individually and jointly for malnutrition, and to calculate the optimal predictive thresholds. Finally a highly accurate clinical predictive nomogram was constructed. Results: Compared with the well-nourished group, the malnourished group had higher serum NLR, SII index, PLR and lower PNI index levels, with statistically significant differences ( Conclusion: Serum NLR, SII index, PLR, and PNI are significant predictive factors for the development of malnutrition in patients with CRC. These indices, whether considered individually or collectively, possess clinical relevance in forecasting malnutrition. Furthermore, the creation of an innovative nomogram prediction model offers considerable clinical utility.
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