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Associations Between Indices of Quadriceps Strength and Self-Reported Function in Individuals After Knee Meniscal Surgery

2016· article· en· W2463839302 on OpenAlexaboutno aff
Michelle M. McLeod, Brian Pietrosimone, Phillip A. Gribble, Michael A. Tevald, David H. Sohn, Abbey C. Thomas

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2016
Typearticle
Languageen
FieldMedicine
TopicInfrared Thermography in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsIsometric exerciseMedicinePhysical therapyBody mass indexPopulationPhysical medicine and rehabilitationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Persistent quadriceps weakness is common following surgical knee meniscectomy or meniscal repair procedures. Quadriceps strength normalized to body mass (QSBM) is known to associate with self-reported function in patients with a history of knee injury. Quadriceps strength limb symmetry index (QLSI) has emerged as a predictor of lab-based biomechanical measures and physical function in similar populations. However, it is unclear how these measures associate with self-reported function following meniscal surgery. This information is critical for determining the best clinical indicators of function in this population. PURPOSE: Determine the associations of QSBM and QLSI with self-reported function in patients with a history of meniscal surgery. METHODS: Sixteen patients with a history of meniscal surgery participated (11F, 5M, 29.75±11.79yrs, 174.23±11.22cm, 95.06±28.38kg). QSBM and QLSI were measured during maximal voluntary isometric contractions collected with an isokinetic dynamometer at 90° of knee flexion. The mean torque of three trials was recorded and normalized to body mass (Nm/kg) for use in our QSBM analyses. QLSI was calculated as the ratio of the surgical to non-surgical limb multiplied by 100, recorded as percent for our analyses. Self-reported function was determined via the International Knee Documentation Committee (IKDC) subjective form, and the disease-specific Western Ontario Meniscal Evaluation Tool (WOMET) aggregate score. Both questionnaires were recorded as percentages, with larger percentages representing a greater level of function. Spearman’s rank correlations were used to determine associations between QSBM and QLSI with IKDC and WOMET scores. Alpha level was set a-priori P ≤ 0.05. RESULTS: QSBM (2.13±0.91) was strongly associated with IKDC (74.47±21.08; ρ=0.753, P=0.001) and WOMET (75.44±23.34; ρ=0.868, P<0.001), whereas QLSI (91.81±20.44) moderately associated with IKDC (ρ=0.515, P=0.041) scores. CONCLUSION: QSBM strongly associated with self-reported function and may be developed into a clinical indicator of high function following meniscal surgery. The strong association between QSBM, WOMET and IKDC suggests that maximizing strength in an effort to allow individual patients to support body mass is important for improving self-reported function.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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.

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

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Citations0
Published2016
Admission routes1
Has abstractyes

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