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Record W7131747819

Force Appreciation, Perceived Function and Physical Performance in Surgically Stabilised Shoulders for Recurrent Anterior Instability

2023· dissertation· en· W7131747819 on OpenAlexaboutno aff
Pradnya Gadkari

Bibliographic record

VenueTuwhera (Auckland University of Technology) · 2023
Typedissertation
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsShouldersAnterior shoulderProprioceptionInstabilityPostural instabilityShoulder jointBiomechanics
DOInot available

Abstract

fetched live from OpenAlex

Objective To examine whether force appreciation at the affected shoulder after anterior stabilisation surgery is significantly different from the unaffected shoulder at 6-12 months from surgery. To investigate the relationship between force appreciation and perceived function and physical performance tests. Study Design A cross-sectional inter-limb comparison study with participants at 6-12 months after anterior stabilisation surgery. Background In New Zealand each year, 25% of individuals with shoulder dislocations require anterior stabilisation surgery to prevent recurrences and improve shoulder stability. However, the instability rate after surgery may range between 3% - 89%. It is thought that decreased neuromuscular control at the shoulder could be contributing to episodes of instability post-surgery. Proprioception influences neuromuscular control and force appreciation is a construct of this modality. It is unknown whether force appreciation differs between affected and unaffected shoulders in a post-surgery cohort. It is possible that decreased force appreciation at the affected shoulder could affect neuromuscular control and dynamic stability and may predispose to instability episodes. Method Twenty-five participants with an anterior stabilisation surgical procedure for recurrent anterior instability were recruited. Force appreciation at the affected and unaffected shoulder was examined with the shoulder at 90o abduction and external rotation. The dependent variables were force accuracy and force steadiness. Statistical comparisons (paired t-tests) were made between the affected and unaffected shoulders. Perceived function was examined using Western Ontario Shoulder Instability Index (WOSI), ROWE, Shoulder Instability-Return to Sport after Injury (SI-RSI) and Tampa Scale of Kinesophobia (TSK). Physical performance across shoulders was assessed using SARTS tests. Correlation coefficients were utilised to assess the relationship between force appreciation variables with perceived function and with one physical performance test (BABER). Results There was a significant (p < .05) difference in force steadiness for external rotators between the affected shoulder (mean: 5.5 SD = 2.3) and unaffected shoulder (mean: 4.6 SD = 1.4). The force steadiness for internal rotators was significantly (p < .05) greater at the affected shoulder (mean: 2.8 SD = .64) in comparison to the unaffected (mean: 3.1 SD = .76) shoulder. Concerning associations, the results showed that those individuals with higher LSIs for force accuracy in external rotators had higher perceived function (K- Tau = -.34), as measured by the WOSI. Similarly significant associations were observed for force accuracy (K-Tau = .32) and force steadiness (K-tau = .34) LSIs of the internal rotators with perceived function as measured by the ROWE. Conclusion The observed mean deficit of 0.9 % of target torque for force steadiness of external rotators across limbs was statistically significant, but its clinical relevance is questionable. Similarly, the deficit of 0.3 % of target torque for force steadiness of internal rotators was significant but negligible hence thought to be not clinically relevant. These results do not provide the impetus to change clinical practice, but they provide a starting point upon which further research that targets different measures related to force appreciation could be undertaken. Regarding associations, the findings highlight that improved force appreciation is associated with improved perceived function, but individually, the variables tested contribute to a small proportion of change in perceived function. It is likely that a larger study allowing multiple variables to be incorporated within a model would be a valuable next step.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.355
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.262
Teacher spread0.248 · 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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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