ReviewCancer management and research2022
Current Screening Methods for the Risk or Presence of Malnutrition in Cancer Patients.
Review in Cancer management and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Association between risk of malnutrition defined by patient-generated subjective global assessment and adverse outcomes in patients with cancer: a systematic review and meta-analysis.Public health nutrition · 2024Pooled it
- Observational
- Pathogenesis, Diagnostic Pathways, and New Therapeutic and Nutritional Strategies for Pancreatic Cancer-Associated Cachexia.Cancers · 2026Review
- Nutrition rehabilitation programs and cachexia clinics for anorexia-cachexia syndrome in patients with cancer.The oncologist · 2026Review
- Editorial: Nutritional status and nutritional support in hospitalized patients.Frontiers in nutrition · 2026Article
- Effect of a multidisciplinary nutrition care model integrating health education and individualized nutritional support on physical function and nutritional outcomes in patients with advanced malignant tumors: a randomized controlled trial.Frontiers in nutrition · 2026Article
- Analysis of the predictive value of 3-day cumulative energy deficit for 28-day mortality in patients with sepsis and nutritional risk: a retrospective study.Frontiers in nutrition · 2026Article
- Baseline Nutritional Indices as Prognostic Indicators in Patients with Recurrent or Metastatic Nasopharyngeal Carcinoma Treated with the PD-L1 Inhibitor KL-A167: A Secondary Analysis of the KL-A167 Trial.Cancer management and research · 2026Article
- A LASSO-based nomogram for predicting sarcopenia-related nutritional risk in esophageal cancer patients: model development, validation, and an interactive clinical decision tool.Frontiers in oncology · 2026Article
- From complex algorithms to clinical practice: a multicenter machine learning model and simplified decision tree for predicting cachexia risk in gastric cancer.Frontiers in oncology · 2026Article
- An Examination of Strategies to Improve Access to Medical Nutrition Therapy among Cancer Patients in the United States: A Narrative Review and a Call to Action.Current nutrition reports · 2025Review
- Global trends and hotspots in nutritional risk screening, assessment, and diagnosis: A bibliometric and visual analysis (1991-2024).Asia Pacific journal of clinical nutrition · 2025Review
- Machine learning and the nomogram as the accurate tools for predicting postoperative malnutrition risk in esophageal cancer patients.Frontiers in nutrition · 2025Article
- Association between nutritional targets and muscle index changes in patients with terminal cancer under palliative care.Turkish journal of medical sciences · 2025Article
- Evaluating the Outcomes in Patients with Colorectal Cancer Using the Malnutrition Universal Screening Tool: A Systematic Review.Journal of multidisciplinary healthcare · 2024Review
- Nutritional care for cancer patients: are we doing enough?Frontiers in nutrition · 2024Article
- Development of a nutritional screening and assessment indicator system for patients with esophageal cancer in China: Findings from the Delphi method.Cancer medicine · 2023Article
- Synergistic Strategies for Gastrointestinal Cancer Care: Unveiling the Benefits of Immunonutrition and Microbiota Modulation.Nutrients · 2023Review
- Nutrition-associated health levels in persons with cancer: item response modelling based on the International Classification of Functioning, Disability and Health.European journal of physical and rehabilitation medicine · 2023Article
- Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malnutrition is highly common among cancer patients and is associated with a poor quality of life, increased treatment toxicities and decreased survival. The screening of malnutrition should be performed in an early stage of cancer disease and should be rapid, not expensive and highly sensitive to identify the risk of developing malnutrition. Importantly, international clinical guidelines suggest to perform screening for malnutrition in all cancer patients and if the risk is present, they recommend to perform a full nutritional assessment. During the screening phase, different nutritional parameters are considered including the loss of appetite, low food intake, body weight loss and burden of the disease. These items are present in several screening tools, such as the Nutrition Risk Screening (NRS)-2002, the Malnutrition Universal Screening Tool (MUST) and the Mini Nutritional Assessment (MNA) which represent the most widely used tools to screen for an altered nutritional status in cancer patients. Recently, the Global Leadership Initiative on Malnutrition (GLIM) developed an assessment tool for the diagnosis of malnutrition taking into account the presence of i) involuntary body weight loss, ii) body mass index, iii) low muscle mass, iv) low food intake and disease burden/inflammation; in particular, body weight loss, decreased body mass index (BMI), and low muscle mass are considered as phenotypic criteria, whereas reduced food intake, disease burden and inflammation are defined as etiologic criteria. To perform the diagnosis of malnutrition, GLIM consensus considered the presence of at least one phenotypic and one etiologic criterion. The above-mentioned screening tools were validated in different clinical settings and suggesting the use of one tool vs another is challenging considering, among others, different factors including the type and stage of cancer and the setting (i.e., inpatient or outpatient care). Recent data obtained among large cohorts of cancer patients indicate that personalized nutritional therapy reduced mortality risk and ameliorated quality of life and functionality among cancer patients with high nutritional risk, supporting the urgent need for implementing screening and diagnosis of malnutrition in this context.
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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.