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Record W4405445084 · doi:10.1136/bmjph-2023-000246

Review on obesity management: diet, exercise and pharmacotherapy

2024· review· en· W4405445084 on OpenAlexaffabout
Katya Peri, Mark J. Eisenberg

Bibliographic record

VenueBMJ Public Health · 2024
Typereview
Languageen
FieldMedicine
TopicPharmacology and Obesity Treatment
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsPharmacotherapyMedicineObesityManagement of obesityWeight managementPhysical therapyInternal medicineWeight loss

Abstract

fetched live from OpenAlex

Currently, obesity is one of the largest risk factors for cardiometabolic disease in North American adults. Over the past few years, the prevalence of this disease has been steadily increasing. This article is the second article in a three-part series of reviews exploring current clinical guidelines and management strategies used in practice to mitigate the spread of obesity. Guidelines to help physicians manage patients with obesity have been released in Canada and Europe. They outline proper management and treatment for overweight and obese patients. Examples include changes in diet and exercise, behavioural therapy and the administration of antiobesity medications as first-line and second-line treatments. Management of obesity takes on a tiered approach, where first-line therapies include lifestyle changes such as diet and exercise and second-line therapies include the use of antiobesity medications.

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)0.001
metaresearch head score (Gemma)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.003

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 head0.169
GPT teacher head0.504
Teacher spread0.335 · 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
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

Citations8
Published2024
Admission routes2
Has abstractyes

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