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Record W4396871367 · doi:10.53555//jptcp.v31i5.6124

Journal of Population Therapeutics and Clinical Pharmacology

2024· paratext· en· W4396871367 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
Fundersnot available
KeywordsClinical pharmacologyPharmacologyMedicine

Abstract

fetched live from OpenAlex

Objective: This study compares preoperative and post-operative cardiac imaging measures to examine the effects of bariatric surgery on heart shape and function in obese patients. Methodology: Using PubMed, MedLine, Ovid, and Cinhal, this work searched the literature for bariatric, metabolic, weight loss, and obesity surgery as well as echocardiography, MRI, cardiac imaging, cardiac dimensions, & ventricular dimensions. Studies included had an initial follow-up of three months and reported on heart structural and function parameters obtained by MRI or echocardiography. Study excluded had conflicting or no preoperative or postoperative data. The Newcastle-Ottawa scale was used for quality assessment; PRISMA guidelines were followed for statistical analysis, which computed and pooled results using a model of random effects with 95% confidence intervals, weighted mean differences, and DerSimonian & Laird modelling. We looked at inter-study heterogeneity with the I2 statistic. Results: Bariatric surgery greatly improves a number of cardiac indices, including left atrium diameter (1.967 mm, 95% CI 0.980-2.954), left ventricular end-diastolic volume (13.28 ml, 95% CI 5.22-21.34 ml), as well as left ventricular mass index (11.2, 95% confidence intervals (CI) 8.2-14.1%). Positive increases were noted for the left ventricular ejection fraction (1.198, 95% CI 0.050-2.347) and the E/A ratio (0.189, 95% CI 0.113–0.265). Conclusion: In obese patients, bariatric surgery has been shown to have beneficial impacts on diastolic function, systolic function, and cardiac structure. The alteration of the enteric cardiac axis may be a contributing factor to these outcomes. However, future research endeavours should prioritize the acquisition of more robust evidence to precisely determine the most effective bariatric procedures for preventing and treating a diverse spectrum of obesity-related cardiac pathologies, in addition to further developing strategies for managing obesity cardiomyopathy.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0360.008

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 head0.205
GPT teacher head0.554
Teacher spread0.349 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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