The Impact of Early Referrals to Dietitians for Patients With Esophagogastric Cancer

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Eric J. Roeland
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Richard F. Dunne
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Disclosures: Dr. Roeland has disclosed that he is a consultant for Mitobridge Inc., Asahi Kasei Pharmaceuticals, DRG Consulting, Napo Pharmaceuticals, American Imaging Management, Immuneering Corporation, and Prime Oncology. Additionally, he has served on recent advisory boards for Heron Pharmaceuticals, Vector Oncology, and Helsinn Pharmaceuticals. He has also served as a member on data safety monitoring boards for Oragenics, Inc, Galera Pharmaceuticals, and Enzychem Lifesciences Pharmaceutical Company. Dr. Dunne has disclosed that he is a consultant or on an advisory board for Exelixis Inc.

Funding: Dr. Dunne is supported by the University of Rochester CTSA award number KL2TR001999 from the National Center for Advancing Translational Sciences of the National Institutes of Health (RFD).

Correspondence: Eric J. Roeland, MD, Massachusetts General Hospital Cancer Center, 55 Fruit Street, Yawkey 7E, Boston, MA 02114. Email: eroeland@mgh.harvard.edu
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  • 1.

    Dijksterhuis WPM, Latenstein AEJ, van Kleef JJ, et al.. Cachexia and dietetic interventions in patients with esophagogastric cancer: a multicenter cohort study. J Natl Compr Canc Netw 2021;19:144–152.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 2.

    Roeland EJ, Bohlke K, Baracos VE, et al.. Management of cancer cachexia: ASCO guideline. J Clin Oncol 2020;38:24382453.

  • 3.

    Fearon K, Strasser F, Anker SD, et al.. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol 2011;12:489495.

  • 4.

    Martin L, Senesse P, Gioulbasanis I, et al.. Diagnostic criteria for the classification of cancer-associated weight loss. J Clin Oncol 2015;33:9099.

  • 5.

    Eisenhauer EA, Therasse P, Bogaerts J, et al.. New Response Evaluation Criteria in Solid Tumours: revised RECIST guideline (version 1.1). Eur J Cancer 2009;45:228247.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6.

    Shen W, Punyanitya M, Wang Z, et al.. Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol (1985) 2004;97:23332338.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7.

    Mourtzakis M, Prado CM, Lieffers JR, et al.. A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care. Appl Physiol Nutr Metab 2008;33:9971006.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8.

    Lieffers JR, Mourtzakis M, Hall KD, et al.. A viscerally driven cachexia syndrome in patients with advanced colorectal cancer: contributions of organ and tumor mass to whole-body energy demands. Am J Clin Nutr 2009;89:11731179.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9.

    Troschel AS, Troschel FM, Best TD, et al.. Computed tomography–based body composition analysis and its role in lung cancer care. J Thorac Imaging 2020;35:91100.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10.

    Bridge CP, Rosenthal M, Wright B, et al.. Fully-automated analysis of body composition from CT in cancer patients using convolutional neural Networks. In: Stoyanov D, Taylor Z,Sarikaya D, et al., eds. OR 20 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis. New York, NY: Springer; 2018:204213.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 11.

    Burns JE, Yao J, Chalhoub D, et al.. A machine learning algorithm to estimate sarcopenia on abdominal CT. Acad Radiol 2020;27:311320.

  • 12.

    Magudia K, Bridge CP, Bay CP, et al.. Population-scale CT-based body composition analysis of a large outpatient population using deep learning to derive age-, sex-, and race-specific reference curves [published online November 24, 2020]. Radiology, doi: 10.1148/radiol.2020201640

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13.

    Latenstein AEJ, Dijksterhuis WPM, Mackay TM, et al.. Cachexia, dietetic consultation, and survival in patients with pancreatic and periampullary cancer: a multicenter cohort study. Cancer Med 2020;9:93859395.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14.

    Lorton CM, Griffin O, Higgins K, et al.. Late referral of cancer patients with malnutrition to dietitians: a prospective study of clinical practice. Support Care Cancer 2020;28:23512360.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15.

    Millar C, Reid J, Porter S. Healthcare professionals' response to cachexia in advanced cancer: a qualitative study. Oncol Nurs Forum 2013;40:E393402.

  • 16.

    Vagnildhaug OM, Balstad TR, Almberg SS, et al.. A cross-sectional study examining the prevalence of cachexia and areas of unmet need in patients with cancer. Support Care Cancer 2018;26:18711880.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17.

    Anandavadivelan P, Brismar TB, Nilsson M, et al.. Sarcopenic obesity: a probable risk factor for dose limiting toxicity during neo-adjuvant chemotherapy in oesophageal cancer patients. Clin Nutr 2016;35:724730.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18.

    Martin L, Birdsell L, Macdonald N, et al.. Cancer cachexia in the age of obesity: skeletal muscle depletion is a powerful prognostic factor, independent of body mass index. J Clin Oncol 2013;31:15391547.

    • Crossref
    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19.

    Food and Nutrition Board; Health and Medicine Division; National Academies of Sciences, Engineering, and Medicine. Examining Access to Nutrition Care in Outpatient Cancer Centers: Proceedings of a Workshop. Washington DC: National Academies Press; 2016.

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20.

    Trujillo EB, Claghorn K, Dixon SW, et al.. Inadequate nutrition coverage in outpatient cancer centers: results of a national survey [published online November 22, 2019]. J Oncol, doi: 10.1155/2019/7462940

    • PubMed
    • Search Google Scholar
    • Export Citation

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