Cited by 40Clinical Nutrition and GastroenterologyNutrition and Health in AgingDietetics, Nutrition, and Education

Assessing dietary intake in accordance with guidelines: Useful correlations with an ingesta-Verbal/Visual Analogue Scale in medical oncology patients

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Guerdoux-Ninot, Estelle, Flori, Nicolas, Janiszewski, Chloé, Vaillé, Arnaud, de Forges, Hélène, Raynard, Bruno, Baracos, Vickie E., Thezenas, Simon +1 more·2019·Clinical Nutrition

Abstract

Background & aims Energy intake and food ingesta are central in nutritional screening and assessment. Cancer patients are at nutritional risk of losing weight, and clinicians need quick and easy tools to identify patients for nutritional support. This study aimed to evaluate the feasibility and the accuracy of a Visual/Verbal Analogue Scale of food ingesta ( ingesta -VVAS) to assess energy food intake and nutritional risk in medical oncology patients. Methods Dieticians administered prospectively the ingesta -VVAS in 1762 medical oncology patients . The external validity of the ingesta- VVAS was determined against daily energy intake based on a 24-h dietary recall. Patients had to estimate how they currently ate on a scale from 0 " nothing at all " to 10 " as usual ". Area Under the Receiver-Operating Characteristics (ROC) curve served as determine the optimal cut-off and provide the discriminative power of the tool to detect patients who ingested less or more than 25 kcal kg −1 day −1 . Results The feasibility of the ingesta -VVAS was 97.7%. The scores were significantly correlated with energy intake ( ρ = .67, p < .05), whatever the specific situation ( i.e. malnutrition or not). With a cut-off of ≤7, the ingesta -VVAS exhibited a good power discrimination (AUC = .804) to detect patients who ingested less or more than 25 kcal kg −1 day −1 , with a sensitivity of 80.8%, a positive predictive value of 83.6%, a specificity of 67.5%, and a negative predictive value of 63.3%. Patients with a score ≤7 on the ingesta -VVAS score were at 12-fold higher probability of nutritional risk [OR 12.3; 95% CI (8.7–17.4); p < .001]. Sensitivity to detect patients with a significant weight loss was 71%, and a positive predictive value of 75.9%. Conclusions This easy-to-use ingesta- VVAS is well-correlated with energy intake and may be useful in clinical practice. An ingesta- VVAS score is ≤ 7 could be used to detect patients with nutritional risk of weight loss in medical oncology.

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  • The same association was found in 9,959 US patients.

    “and in 9,959 US patients [238].”

    From ESPEN guideline on hospital nutrition (2021) · cites this paper as [238]

    The Participants section identifies the study site as a cancer institute in France and says 1,762 patients were included. The Results section likewise reports 1,762 patients, not 9,959 US patients; searches for the US cohort and that number found no such finding in our copy. (LLM, conf=0.88)

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Research works printed but not linked: 32

  1. Coa KI, Epstein JB, Ettinger D, et al (2015) The Impact of Cancer Treatment on the Diets and Food Preferences of Patients Receiving Outpatient Treatment. Nutr Cancer 67:339-353 . doi: 10.1080/01635581.2015.990577 · DOI
  2. Bozzetti F, on behalf of the SCRINIO Working Group (2009) Screening the nutritional status in oncology: a preliminary report on 1,000 outpatients. Support Care Cancer 17:279-284 . doi: 10.1007/s00520-008-0476-3 · DOI
  3. Guerdoux-Ninot E, Kilgour RD, Janiszewski C, et al (2016) Meal context and food preferences in cancer patients: results from a French self-report survey. SpringerPlus 5: . doi: 10.1186/s40064-016-2538-1 · DOI
  4. Hébuterne X, Lemarié E, Michallet M, et al (2014) Prevalence of malnutrition and current use of nutrition support in patients with cancer. JPEN J Parenter Enteral Nutr 38:196-204 . doi: 10.1177/0148607113502674 · DOI
  5. Mariani L, Lo Vullo S, Bozzetti F, SCRINIO Working Group (2012) Weight loss in cancer patients: a plea for a better awareness of the issue. Support Care Cancer Off J Multinatl Assoc Support Care Cancer 20:301-309 . doi: 10.1007/s00520-010-1075-7 · DOI
  6. Fearon K, Strasser F, Anker SD, et al (2011) Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 12:489-495 . doi: 10.1016/S1470- 2045(10)70218-7 · DOI
  7. Martin L, Senesse P, Gioulbasanis I, et al (2015) Diagnostic Criteria for the Classification of Cancer-Associated Weight Loss. J Clin Oncol 33:90-99 . doi: 10.1200/JCO.2014.56.1894 · DOI
  8. August DA, Huhmann MB, American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) Board of Directors (2009) A.S.P.E.N. clinical guidelines: nutrition support therapy during adult anticancer treatment and in hematopoietic cell transplantation. JPEN J Parenter Enteral Nutr 33:472-500 . doi: 10.1177/0148607109341804 · DOI
  9. French Speaking Society of Clinical Nutrition and Metabolism (SFNEP) (2014) Clinical nutrition guidelines of the French Speaking Society of Clinical Nutrition and Metabolism (SFNEP): Summary of recommendations for adults undergoing non-surgical anticancer treatment. Dig Liver Dis 46:667-674 . doi: 10.1016/j.dld.2014.01.160 · DOI
  10. Arends J, Bachmann P, Baracos V, et al (2016) ESPEN guidelines on nutrition in cancer patients. Clin Nutr. doi: 10.1016/j.clnu.2016.07.015 · DOI · Paper page
  11. Lee JLC, Leong LP, Lim SL (2015) Nutrition intervention approaches to reduce malnutrition in oncology patients: a systematic review. Support Care Cancer 24:469-480 . doi: 10.1007/s00520-015-2958-4 · DOI
  12. Mueller C, Compher C, Ellen DM, the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) Board of Directors (2011) A.S.P.E.N. Clinical Guidelines: Nutrition Screening, Assessment, and Intervention in Adults. J Parenter Enter Nutr 35:16-24 . doi: 10.1177/0148607110389335 · DOI
  13. Leitch EF, Chakrabarti M, Crozier JEM, et al (2007) Comparison of the prognostic value of selected markers of the systemic inflammatory response in patients with colorectal cancer. Br J Cancer 97:1266-1270 . doi: 10.1038/sj.bjc.6604027 · DOI
  14. Forrest LM, McMillan DC, McArdle CS, et al (2003) Evaluation of cumulative prognostic scores based on the systemic inflammatory response in patients with inoperable non-small-cell lung cancer. Br J Cancer 89:1028-1030 . doi: 10.1038/sj.bjc.6601242 · DOI
  15. Jensen GL, Hsiao PY, Wheeler D (2012) Adult nutrition assessment tutorial. JPEN J Parenter Enteral Nutr 36:267-274 . doi: 10.1177/0148607112440284 · DOI
  16. Shim J-S, Oh K, Kim HC (2014) Dietary assessment methods in epidemiologic studies. Epidemiol Health e2014009 . doi: 10.4178/epih/e2014009 · DOI
  17. Thibault R, Goujon N, Le Gallic E, et al (2009) Use of 10-point analogue scales to estimate dietary intake: A prospective study in patients nutritionally at-risk. Clin Nutr 28:134-140 . doi: 10.1016/j.clnu.2009.01.003 · DOI · Paper page
  18. Senesse P, Isambert A, Janiszewski C, et al (2017) Management of Cancer Cachexia and Guidelines Implementation in a Comprehensive Cancer Center: A Physician-Led Cancer Nutrition Program Adapted to the Practices of a Country. J Pain Symptom Manage 54:387-393.e3 . doi: 10.1016/j.jpainsymman.2017.01.010 · DOI
  19. Senesse P, Vasson M-P (2012) Nutrition chez le patient adulte atteint de cancer : quand et comment évaluer l'état nutritionnel d'un malade atteint de cancer ? Comment faire le diagnostic de dénutrition et le diagnostic de dénutrition sévère chez un malade atteint de cancer ? Quelles sont les situations les plus à risque de dénutrition ? Nutr Clin Métabolisme 26:165-188 . doi: 10.1016/j.nupar.2012.10.004 · DOI
  20. Pressoir M, Desné S, Berchery D, et al (2010) Prevalence, risk factors and clinical implications of malnutrition in French Comprehensive Cancer Centres. Br J Cancer 102:966-971 . doi: 10.1038/sj.bjc.6605578 · DOI
  21. Senesse P, Hébuterne X (2012) Nutrition chez le patient adulte atteint de cancer : besoins nutritionnels, énergétiques et protéiques, au cours de la prise en charge du cancer chez l'adulte. Nutr Clin Métabolisme 26:189-196 . doi: 10.1016/j.nupar.2012.10.005 · DOI
  22. Hanley JA, McNeil BJ (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143:29-36 . doi: 10.1148/radiology.143.1.7063747 · DOI · Paper page
  23. Blundell J, de Graaf C, Hulshof T, et al (2010) Appetite control: methodological aspects of the evaluation of foods. Obes Rev 11:251-270 . doi: 10.1111/j.1467- 789X.2010.00714.x · DOI
  24. Blauwhoff-Buskermolen S, Ruijgrok C, Ostelo RW, et al (2016) The assessment of anorexia in patients with cancer: cut-off values for the FAACT-A/CS and the VAS for appetite. Support Care Cancer 24:661-666 . doi: 10.1007/s00520-015-2826-2 · DOI
  25. Sunde B, Ericson J, Kumagai K, et al (2015) Relief of dysphagia during neoadjuvant treatment for cancer of the esophagus or gastroesophageal junction. Dis Esophagus. doi: 10.1111/dote.12352 · DOI
  26. Rahemtulla Z, Baldwin C, Spiro A, et al (2005) The palatability of milk-based and non-milk-based nutritional supplements in gastrointestinal cancer and the effect of chemotherapy. Clin Nutr 24:1029-1037 . doi: 10.1016/j.clnu.2005.08.003 · DOI
  27. Hemati K, Zaman B, Hassani V, et al (2015) Efficacy of fentanyl transdermal patch in the treatment of chronic soft tissue cancer pain. Anesthesiol Pain Med 5:e22900 . doi: 10.5812/aapm.22900 · DOI
  28. Eguchi K, Honda M, Kataoka T, et al (2014) Efficacy of corticosteroids for cancer- related fatigue: A pilot randomized placebo-controlled trial of advanced cancer patients. Palliat Support Care 1-8 . doi: 10.1017/S1478951514001254 · DOI
  29. Ginty AT (2013) Psychometric Properties. In: Gellman MD, Turner JR (eds) Encyclopedia of Behavioral Medicine. Springer New York, pp 1563-1564
  30. Chambrier C, Sztark F, Société Francophone de nutrition clinique et métabolisme (SFNEP), Société française d'anesthésie et réanimation (SFAR) (2012) French clinical guidelines on perioperative nutrition. Update of the 1994 consensus conference on perioperative artificial nutrition for elective surgery in adults. J Visc Surg 149:e325-336 . doi: 10.1016/j.jviscsurg.2012.06.006 · DOI
  31. Bingham SA, Gill C, Welch A, et al (1994) Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records. Br J Nutr 72:619 . doi: 10.1079/BJN19940064 · DOI · Paper page
  32. Haverkort EB, de Haan RJ, Binnekade JM, van Bokhorst-de van der Schueren MAE (2012) Self-reporting of height and weight: valid and reliable identification of malnutrition in preoperative patients. Am J Surg 203:700-707 . doi: 10.1016/j.amjsurg.2011.06.053 · DOI

Cited by

Sorted by citations

Authors
Guerdoux-Ninot, E., Flori, N., Janiszewski, C., Vaillé, A., de Forges, H., Raynard, B., Baracos, V. E., Thezenas, S., & Senesse, P.
Affiliations
  • Université de Montpellier (FR)
  • Institut Gustave Roussy (FR)
  • University of Alberta (CA)
Venue
Clinical Nutrition
Publisher
Elsevier BV
Published
2019-08
Volume
38
Issue
4
Pages
1927-1935
ISSN
0261-5614 (ISSN-L)
OpenAlex
W2810041521
Cited by
40
References
1
Citations by year
2026: 4 · 2025: 8 · 2024: 10 · 2023: 5 · 2022: 8 · 2021: 3 · 2020: 2
FWCI
1.03
Type
journal article
Language
en
Open access
Locations
  • Clinical Nutrition (acceptedVersion, other-oa)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by-nc)
Topics
  • Health Sciences › Nursing › Nutrition and Dietetics › Clinical Nutrition and Gastroenterology
  • Health Sciences › Medicine › Physiology › Nutrition and Health in Aging
  • Health Sciences › Health Professions › Health Information Management › Dietetics, Nutrition, and Education
Keywords
nutritional risk screening, cancer-related weight loss, malnutrition, 24-hour dietary recall, nutritional support, generalizability
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Diet, Eating, Feasibility Studies, Female, Humans, Male, Medical Oncology, Middle Aged, Neoplasms, Nutritional Status, Prospective Studies, Weight Loss, Nutrition Assessment, Young Adult, Visual Analog Scale

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