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Record W3166333987 · doi:10.1186/s13643-021-01750-1

Efficacy and safety of clinically managed weight loss programs: a systematic review and meta-analysis protocol

2021· review· en· W3166333987 on OpenAlexafffundabout
Katrina Cachero, Matthew Granger, Rebecca C. Mollard, Nicole Askin, George N. Okoli, Ahmed M Abou-Setta, Dylan MacKay

Bibliographic record

VenueSystematic Reviews · 2021
Typereview
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversity of ManitobaSeven Oaks General HospitalGeorge & Fay Yee Centre for Healthcare Innovation
FundersMitacs
KeywordsMedicineCINAHLWeight lossPsycINFOMEDLINEPopulationWeight managementSystematic reviewHealth careFamily medicineManaged careIntervention (counseling)OverweightBest practiceNursingObesityPsychological interventionEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Obesity has become a major driver in the burden of chronic diseases. The Canadian Clinical Practice Guidelines recommend a lifestyle intervention for the management and prevention of obesity. This includes behavior modification, dietary counseling, and physical activity. With the market overwhelmed with weight loss programs, the majority are focused on low-calorie diets and general recommendations for exercise. Most are not personalized and are not administered by healthcare professionals. An interdisciplinary team of highly trained healthcare professionals has the ability to provide medically sound and safe advice in all aspects of an individuals' life, such as lifestyle, sleep, mental health, and behaviors. A clinically managed weight loss program is defined as a team including a dietitian, exercise professional, psychologist, and/or physician or nurse practitioner oversight. With limiting results in the literature regarding clinically managed weight loss programs, it is difficult to conclude whether it may be effective. Therefore, the objective of this systematic review is to assess clinically managed weight loss programs, with a physician or nurse practitioner oversight in comparison with non-clinically managed weight loss programs with no physician oversight or nurse practitioner oversight in adults who are living with overweight or obesity. METHODS: A literature search will be executed by a knowledge synthesis librarian on MEDLINE, Cochrane Central, Embase, PsycINFO, and CINAHL. The data collected will be extracted, stored, and managed in MS Excel 2016. The extraction of the data will include study details, study population details, health team details, intervention details, and outcome details. DISCUSSION: The prevalence of obesity has been increasing throughout the decades. The results from this systematic review may aid in recommending a more clinically safe weight loss program for those who struggle with overweight or obesity. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42020170014.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Systematic reviewhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.064
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.536
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0640.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0680.006
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.374
GPT teacher head0.580
Teacher spread0.206 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Systematic review
Domainnot available
GenreProtocol

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

Citations2
Published2021
Admission routes3
Has abstractyes

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