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Record W2003541465 · doi:10.1097/jsm.0b013e3181865ed4

The Relationship Between Exercise and Osteoarthritis in the Elderly

2008· review· en· W2003541465 on OpenAlexaff
Lawrence E. Hart, Derek Haaland, Danielle Baribeau, Ilya Mukovozov, Thomas F. Sabljic

Bibliographic record

VenueClinical Journal of Sport Medicine · 2008
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePhysical therapyMEDLINEOsteoarthritisQuality of life (healthcare)Randomized controlled trialPopulationPsychological interventionSystematic reviewProspective cohort studyCohort studyGerontologyAlternative medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

OBJECTIVES: To review within a prescribed evidence-based framework (1) the relationship between intermittent or lifelong physical activity and the subsequent onset or progression of osteoarthritis (OA) in later life and (2) the effect of structured exercise routines on the management of OA in the elderly. DATA SOURCES: A systematic literature search of MEDLINE (1950 to April Week 2, 2008) and EMBASE (1980 to 2008 Week 16) was carried out using the Ovid interface. Relevant mapped terms addressing the identified objectives were combined and exploded according to a defined protocol. STUDY SELECTION: Studies that met relevancy criteria and were of high methodologic quality (prospective cohort studies for the risk factor component and systematic reviews and randomized controlled trials for the therapy component) were extracted and then hand searched for any additional studies. Final inclusion was based on agreement between two independent assessors, according to prescribed criteria. Any studies that were not in the English language, did not address the questions of interest in humans, or did not include a population that had at least a mean age of 55 years at the time of study termination, were excluded. Only land-based regimens were included in the therapy component of the review. DATA EXTRACTION: Pertinent information on subjects, risks, and outcomes (when assessing physical activity as a risk factor for OA in the elderly) and subjects, interventions, and outcomes (when evaluating the application of exercise in the management of OA in older persons) was extracted from the selected studies. DATA SYNTHESIS: Ten studies met entry criteria for examining the relationship between physical activity and the development or progression of OA. Likely because of study variations and differences in the nature, duration and intensities of exercise regimens, no clearcut consensus was apparent on whether or not physical activity was a risk factor for OA. Six scientific reviews and ten single blinded randomized controlled trials were included when evaluating the effect of exercise on OA management. Regardless of wide variability in the included studies, a majority demonstrated that structured exercise programs were effective in the management of older subjects with OA. CONCLUSIONS: : Nuances of study design, differences in age and type of target populations, variability in the intensity, duration, and nature of physical activity in the respective studies, and lack of standardization in the way radiographic data are interpreted are among the factors that prevent consensus regarding the effect of physical activity on later development of OA. Similarly, there is considerable heterogeneity in the studies that assessed exercise in the treatment of OA. Nonetheless, there is substantive evidence in support of the benefits of one or another strength training or aerobic exercise regimen in the management of OA in middle-aged and elderly subjects.

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)0.014
metaresearch head score (Gemma)0.070
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 score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.070
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.149
GPT teacher head0.422
Teacher spread0.273 · 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

Citations30
Published2008
Admission routes1
Has abstractyes

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