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Updated, web-based nutrition management guideline for PKU: An evidence and consensus based approach

Overview of attention for article published in Molecular Genetics & Metabolism, June 2016
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Title
Updated, web-based nutrition management guideline for PKU: An evidence and consensus based approach
Published in
Molecular Genetics & Metabolism, June 2016
DOI 10.1016/j.ymgme.2016.04.008
Pubmed ID
Authors

Rani H. Singh, Amy C. Cunningham, Shideh Mofidi, Teresa D. Douglas, Dianne M. Frazier, Debra Geary Hook, Laura Jeffers, Helen McCune, Kathryn D. Moseley, Beth Ogata, Surekha Pendyal, Jill Skrabal, Patricia L. Splett, Adrya Stembridge, Ann Wessel, Frances Rohr

Abstract

In 2014, recommendations for the nutrition management of phenylalanine hydroxylase deficiency were published as a companion to the concurrently published American College of Medical Genetics and Genomics guideline for the medical treatment of phenylketonuria (PKU). These were developed primarily from a summary of findings from the PKU scientific review conference sponsored by the National Institutes of Health and Agency for Healthcare Research & Quality along with additional systematic literature review. Since that time, the Genetic Metabolic Dietitians International and the Southeast Regional Newborn Screening and Genetics Collaborative have partnered to create a web-based technology platform for the update and development of nutrition management guidelines for inherited metabolic disorders. The purpose of this PKU guideline is to establish harmonization in treatment and monitoring, to guide the integration of nutrition therapy in the medical management of PKU, and to improve outcomes (nutritional, cognitive, and developmental) for individuals with PKU in all life stages while reducing associated medical, educational, and social costs. Six research questions critical to PKU nutrition management were formulated to support guideline development: Review, critical appraisal, and abstraction of peer-reviewed studies and unpublished practice literature, along with expert Delphi survey feedback, nominal group process, and external review from metabolic physicians and dietitians were utilized for development of recommendations relevant to each question. Recommendations address nutrient intake, including updated protein requirements, optimal blood phenylalanine concentrations, nutrition interventions, monitoring parameters specific to life stages, adjunct therapies, and pregnancy and lactation. Recommendations were graded using a rigorous system derived from the Academy of Nutrition and Dietetics. These guidelines, updated utilizing a thorough and systematic approach to literature analysis and national consensus process, are now easily accessible to the global community via the newly developed digital platform. For additional details on specific topics, readers are encouraged to review materials on the online portal: https://GMDI.org/.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 154 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 15%
Researcher 23 15%
Student > Bachelor 21 14%
Student > Ph. D. Student 19 12%
Other 14 9%
Other 32 21%
Unknown 22 14%
Readers by discipline Count As %
Medicine and Dentistry 34 22%
Nursing and Health Professions 26 17%
Agricultural and Biological Sciences 10 6%
Biochemistry, Genetics and Molecular Biology 10 6%
Social Sciences 8 5%
Other 40 26%
Unknown 27 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 March 2018.
All research outputs
#10,115,265
of 12,645,670 outputs
Outputs from Molecular Genetics & Metabolism
#1,055
of 1,347 outputs
Outputs of similar age
#185,283
of 262,526 outputs
Outputs of similar age from Molecular Genetics & Metabolism
#21
of 26 outputs
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