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Record W2912225374 · doi:10.23958/ijirms/vol03-i12/519

Effect of Exercise and Zoledronic Acid on Lipid Profile and Bone Remodeling in Ovariectomized Rats

2018· article· en· W2912225374 on OpenAlexaff
Ahmed Sayed Khashaba, Fawaz Salem Al Batati

Bibliographic record

VenueInternational Journal of Innovative Research in Medical Science · 2018
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsOvariectomized ratZoledronic acidOsteoporosisLipid profileEndocrinologyInternal medicineMedicineCholesterolLipoproteinBone remodelingEstrogen

Abstract

fetched live from OpenAlex

Exercise (EXE) and amino-bisphosphonates (BP) are both considered as useful strategies in the prevention of post-menopausal bone loss. Exercise reduces lipid levels, and BP may induce increase in high-density lipoprotein cholesterol (HDL-C). We hypothesized that combined effects of BP and exercise would produce a better improvement of lipid profile. (Dolléans, 2010)
 Non pharmacological prevention of osteoporosis fracture by physical activity and particularly regular exercises (EXE) characterized by impact or loading is currently recommended.The effect of regular exercise on the Lipid profile has been developed in a lot of studies It has been recently demonstrated that increasing steps walked may have beneficial effects on serum lipids and thus may decrease the cardio vascular disease risks. Conversely, physical activity, and more specifically mechanical stress, has been shown to induce an osteogenic effect mediated by osteocytes and osteoblasts. (Howe, 2011)
 Sixty 6-month old Wistar female rats were maintained under the standard environmental conditions of light and temperature, (12 h light: 12 h dark photoperiod, at 24 ±2 oC) with free access to water. They were divided into 3 groups according to methods of induction

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)0.028
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0280.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.055
GPT teacher head0.486
Teacher spread0.431 · 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.

Study designBench or experimental
Domainnot available
GenreEmpirical

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
Published2018
Admission routes1
Has abstractyes

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