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Record W4231509815 · doi:10.1186/s40413-016-0102-7

World Allergy Organization-McMaster University Guidelines for Allergic Disease Prevention (GLAD-P): Prebiotics

2016· article· en· W4231509815 on OpenAlexafffund
Carlos A. Cuello‐García, Alessandro Fiocchi, Ruby Pawankar, Juan José Yepes-Núñez, Gian Paolo Morgano, Yuan Zhang, Kangmo Ahn, Suleiman Al‐Hammadi, Arnav Agarwal, Shreyas Gandhi, Kirsten Beyer, Wesley Burks, Giorgio Walter Canonica, Motohiro Ebisawa, Rose Kamenwa, Bee Wah Lee, Haiqi Li, Susan L. Prescott, John J. Riva, Lanny J. Rosenwasser, Hugh A. Sampson, Michael Spigler, Luigi Terracciano, Andrea Vereda, Susan Waserman, Holger J. Schünemann, Jan Brożek

Bibliographic record

VenueWorld Allergy Organization Journal · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of TorontoMcMaster University
FundersGenentechNational Institutes of HealthUniversità degli Studi di GenovaChongqing Medical UniversityPerrigo Company Charitable FoundationUniversity of North Carolina at Chapel HillSanofiActoGeniXMylanNational University of SingaporeChildren's Mercy HospitalAbbott LaboratoriesRegeneron PharmaceuticalsMcMaster UniversityDanoneNovartis PharmaUniversità degli Studi di MilanoUniversity of Missouri
KeywordsMedicineGuidelinePrebioticBreastfeedingAllergyRandomized controlled trialObservational studyPediatricsGut floraSystematic reviewFood allergyImmunologyInternal medicineMEDLINE

Abstract

fetched live from OpenAlex

BACKGROUND: The prevalence of allergic diseases in infants, whose parents and siblings do not have allergy, is approximately 10 % and reaches 20-30 % in those with an allergic first-degree relative. Intestinal microbiota may modulate immunologic and inflammatory systemic responses and, thus, influence development of sensitization and allergy. Prebiotics - non-digestible oligosaccharides that stimulate growth of probiotic bacteria - have been reported to modulate immune responses and their supplementation has been proposed as a preventive intervention. OBJECTIVE: The World Allergy Organization (WAO) convened a guideline panel to develop evidence-based recommendations about the use of prebiotics in the prevention of allergy. METHODS: The WAO guideline panel identified the most relevant clinical questions about the use of prebiotics for the prevention of allergy. We performed a systematic review of randomized controlled trials of prebiotics, and reviewed the evidence about patient values and preferences, and resource requirements (up to January 2015, with an update on July 29, 2015). We followed the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to develop recommendations. RESULTS: Based on GRADE evidence to decision frameworks, the WAO guideline panel suggests using prebiotic supplementation in not-exclusively breastfed infants and not using prebiotic supplementation in exclusively breastfed infants. Both recommendations are conditional and based on very low certainty of the evidence. We found no experimental or observational study of prebiotic supplementation in pregnant women or in breastfeeding mothers. Thus, the WAO guideline panel chose not to provide a recommendation about prebiotic supplementation in pregnancy or during breastfeeding, at this time. CONCLUSIONS: WAO recommendations about prebiotic supplementation for the prevention of allergy are intended to support parents, clinicians and other health care professionals in their decisions whether or not to use prebiotics for the purpose of preventing allergies in healthy, term infants.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.048
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.008
Bibliometrics0.0090.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0060.003
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.0160.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.267
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations157
Published2016
Admission routes2
Has abstractyes

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