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Record W4400978320 · doi:10.1016/j.cmet.2024.06.013

International consensus on fasting terminology

2024· article· en· W4400978320 on OpenAlexaff
Daniela A. Koppold, Carolin Breinlinger, Etienne Hanslian, Christian S. Keßler, Holger Cramer, Anika Rajput Khokhar, Courtney M. Peterson, Grant M. Tinsley, Claudio Vernieri, Richard J. Bloomer, Michael Boschmann, Nicola Luigi Bragazzi, Sebastian Brandhorst, Kelsey Gabel, Alan Goldhamer, Martin M. Grajower, Michelle Harvie, Leonie K. Heilbronn, Benjamin D. Horne, Spyridon Ν. Karras, Jost Langhorst, Eva Lischka, Frank Madeo, Sarah J. Mitchell, Ioannis A. Papagiannopoulos, Maria Papagiannopoulou, Hanno Pijl, Éric Ravussin, Martha Ritzmann-Widderich, Krista A Varady, Lilian Adamidou, Mélika Chihaoui, Rafael de Cabo, Mohamed Hassanein, Nader Lessan, Valter D. Longo, Emily N. C. Manoogian, Mark P. Mattson, Joseph B. Muhlestein, Satchidananda Panda, Sousana Κ. Papadopoulou, Nikolaos E. Rodopaios, Rainer Stange, Andreas Michalsen

Bibliographic record

VenueCell Metabolism · 2024
Typearticle
Languageen
FieldMedicine
TopicDietary Effects on Health
Canadian institutionsYork University
FundersNational Institute on AgingKarl-Franzens-Universität GrazNational Institutes of HealthBioTechMed-GrazAssociazione Italiana per la Ricerca sul CancroAustrian Science FundPfizerEli Lilly and CompanyBundesministerium für Bildung, Wissenschaft und ForschungFalk FoundationNestlé Health ScienceDaiichi Sankyo EuropeEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentU.S. Department of Defense
KeywordsIntermittent fastingTerminologyMedicineAbstinenceDelphi methodGerontologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Although fasting is increasingly applied for disease prevention and treatment, consensus on terminology is lacking. Using Delphi methodology, an international, multidisciplinary panel of researchers and clinicians standardized definitions of various fasting approaches in humans. Five online surveys and a live online conference were conducted with 38 experts, 25 of whom completed all 5 surveys. Consensus was achieved for the following terms: "fasting" (voluntary abstinence from some or all foods or foods and beverages), "modified fasting" (restriction of energy intake to max. 25% of energy needs), "fluid-only fasting," "alternate-day fasting," "short-term fasting" (lasting 2-3 days), "prolonged fasting" (≥4 consecutive days), and "religious fasting." "Intermittent fasting" (repetitive fasting periods lasting ≤48 h), "time-restricted eating," and "fasting-mimicking diet" were discussed most. This study provides expert recommendations on fasting terminology for future research and clinical applications, facilitating communication and cross-referencing in the field.

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)0.152
metaresearch head score (Gemma)0.158
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.152
Threshold uncertainty score0.805

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1520.158
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0110.010
Science and technology studies0.0040.009
Scholarly communication0.0070.007
Open science0.0060.011
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0050.002

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 head0.028
GPT teacher head0.317
Teacher spread0.290 · 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
GenreOther

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

Citations90
Published2024
Admission routes1
Has abstractyes

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