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Record W4210882006 · doi:10.3390/diabetology3010006

Diet and Management of Type II Diabetes Mellitus in the United Kingdom: A Narrative Review

2022· review· en· W4210882006 on OpenAlexaff
Sheeraz A. Rajput, Suhel Ashraff, Muhammad Siddiqui

Bibliographic record

VenueDiabetology · 2022
Typereview
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsSaskatchewan HealthSaskatchewan Health Authority
Fundersnot available
KeywordsOverweightCaloriePsychosocialMedicineEnvironmental healthObesityNarrative reviewType 2 diabetesDiabetes mellitusPsychological interventionGerontologyIncidence (geometry)Weight lossIntensive care medicineEndocrinology

Abstract

fetched live from OpenAlex

Diabetes is a major public health problem and is emerging as a pandemic. The fundamental cause of obesity and overweight is an energy imbalance between calories consumed and calories burned up. Physical activity is one of the mainstay clinical interventions for preventing metabolic diseases, and dietary habits are the primary factor for the rapidly rising incidence of DM. Reducing weight and maintaining a healthy weight, reducing energy intake, and food intake high in vegetables, fruit, whole grains, legumes, nuts, and dairy products are core parts of management. We performed a narrative literature review, manual-search of reference lists of included articles, and relevant reviews. The main purpose of this review was to discuss the role of psychosocial factors and diet in the control of type II Diabetes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.102
GPT teacher head0.376
Teacher spread0.275 · 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 teacher head, not a consensus.

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

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

Citations23
Published2022
Admission routes1
Has abstractyes

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