Determination of malnourishment in the head and neck cancer patient: assessment tools and nutrition education of radiation oncologists

DeCicco, Paul V.; Wunderlich, Shahla M.; Emmolo, J.

doi:10.1007/s00520-009-0796-y

Cited by 14 publications

(7 citation statements)

References 25 publications

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“…These recommendations have been quite recently replicated in ad hoc ASPEN guidelines [14] and by the National Cancer Institute [15]. However, a recent survey in UK [16] showed that 80% of specialist oncological trainees expressed uncertainty or a lack of confidence in their ability to identify malnutrition and a similar study in US radiology oncologists [17] reported that only 9% of them used body weight plus other assessment tools.…”

Section: Discussionmentioning

confidence: 99%

The nutritional risk in oncology: a study of 1,453 cancer outpatients

Bozzetti

Mariani

Vullo

et al. 2012

Support Care Cancer

163

104

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PurposeThere is little information about the nutritional status of cancer outpatients because the practice of nutritional screening is rarely performed. This study aims to define the pattern of scores of nutritional risk in 1,453 outpatients and factors associated with a high nutrition risk score, to facilitate the identification of such patients by the oncologists.MethodsWe prospectively screened the nutritional status of cancer outpatients according to the NRS-2002 score which combines indicators of malnutrition and of severity of the disease (1–3 points, respectively). A score ≥3 indicates “nutritional risk”. The association of the nutritional scores with some patient/tumour/therapy-related variables was investigated through univariable and multivariable linear regression models.ResultsThirty-two percent of outpatients were at nutritional risk. Primary tumour site, Eastern Cooperative Oncology Group score and presence of anorexia or fatigue were significantly associated with the nutrition risk score. Depending on the combination of these variables, it was possible to estimate different probabilities of nutritional risk.ConclusionsThe frequency of a relevant nutritional risk was higher than expected considering the favourably selected population. The nutritional risk was associated with common clinical variables which are usually recorded in the charts and could easily alert the oncologist on the need of a further nutritional assessment or a nutritional support.

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Section: Discussionmentioning

confidence: 99%

The nutritional risk in oncology: a study of 1,453 cancer outpatients

Bozzetti

Mariani

Vullo

et al. 2012

Support Care Cancer

163

104

View full text Add to dashboard Cite

show abstract

“…This problem of underestimating the importance of proper nutritional assessment in cancer patients is prevalent in more developed nations too because of cumbersome and detailed nature of these nutrition assessment tools. [56]…”

Section: Introductionmentioning

confidence: 99%

Assessment of nutritional status of gynecological cancer cases in India and comparison of subjective and objective nutrition assessment parameters

Das

Patel

Dave

et al. 2014

South Asian J Cancer

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Aim:To assess the nutritional status of gynecological cancer patients using scored Patient Generated Subjective Global Assessment (PG-SGA) then compare it with the body mass index (BMI), hemoglobin, serum albumin, and approximate percentage weight lost in last 1 month so as to find any one parameter that can be used in place of the comprehensive assessment tool.Materials and Methods:Sixty gynecological cancer patients were assessed for their nutritional status using BMI, serum albumin, hemoglobin, percentage weight lost in last 1 month, and scored PG-SGA. Correlation, sensitivity, specificity, and predictive values of the former four parameters compared to scored PG-SGA were calculated.Results:88.33% of cases were at risk of or had some degree of malnutrition according to scored PG-SGA. Serum albumin level ≤ 2 g/dl had highest specificity and positive predictive value at 1, whereas percentage weight lost in last month had better overall sensitivity, specificity, and positive and negative predictive values of 0.5833, 0.9444, 0.875, and 0.7727, respectively. The Pearson's correlation coefficient between scored PG-SGA and percentage weight lost in last 1 month was 0.784, highest among all the parameters.Conclusion:88.33% of gynecologic cancer cases had some degree of malnutrition or were at risk of malnutrition. Approximate percentage weight lost in last 1 month, that is, ≥ 5% may be used in place of the comprehensive scored PG-SGA to triage the patients in case the latter is not used for some reason. Severe hypoalbuminemia ≤ 2 g/dl is an indicator of severe malnutrition in gynecologic cancer cases.

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“…There were also some barriers of nutrition support in practice. Based on the literature, economic factors [57], low adherence to guidelines [11,58], and behavior of medical staff [15][16][17] are the barriers of nutrition support. In this study, medical staff in Macao mentioned other barriers of nutrition support, including misunderstanding of the cancer patients and their families, lack of standard guidelines, over workload, and loss of appetite of cancer patients.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, cancer patients at difference disease stages with different therapies meet different nutrition needs, and the starting point of nutrition support should be well considered. In addition, the cooperation, attitude, and knowledge of participants, such as physicians and nutritionists, involved in nutrition support among cancer patients, are some of the challenges of utilization of nutrition support [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of a Logic Model for Utilization of Nutrition Support among Patients with Cancer

Pang

Bie

Ung

et al. 2020

BioMed Research International

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Cancer is the leading cause of morbidity and mortality, and about one in six people die from cancer globally. Approximately 20% to 70% of cancer patients are accompanied with malnutrition, and nutrition support plays an important role among cancer patients. However, the utilization of nutrition support is generally irrational in clinical practices and it is affected by multiple factors. Logic models not only present a framework to improve intervention of health care setting but also identify all the elements, pathways, outcomes, and their relationships between systems. This study developed a logic model of nutrition support for cancer patients based on current literature and conducted interview with medical staff in Macao to validate the logic model. In addition, suggestions were given as references to improve the utilization of nutrition support among cancer patients.

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Determination of malnourishment in the head and neck cancer patient: assessment tools and nutrition education of radiation oncologists

Cited by 14 publications

References 25 publications

The nutritional risk in oncology: a study of 1,453 cancer outpatients

The nutritional risk in oncology: a study of 1,453 cancer outpatients

Assessment of nutritional status of gynecological cancer cases in India and comparison of subjective and objective nutrition assessment parameters

Development and Validation of a Logic Model for Utilization of Nutrition Support among Patients with Cancer

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