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Improved intramuscular blood flow and normalized metabolism in lateral epicondylitis after botulinum toxin treatment

2009· article· en· W2064894338 on OpenAlexaboutno aff
Eva Oskarsson, Karin Piehl Aulin, Bengt E. Gustafsson, K. Pettersson

Bibliographic record

VenueScandinavian Journal of Medicine and Science in Sports · 2009
Typearticle
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsEpicondylitisMedicineTennis elbowBlood flowAnesthesiaVisual analogue scaleBotulinum toxinMicrocirculationForearmHand strengthIntramuscular injectionGrip strengthWristElbowSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Lateral epicondylitis is a common cause of elbow pain, and decreased microcirculation in extensor carpi radialis brevis (ECRB) has recently been suggested to contribute to the symptoms. The purpose of this pilot study was to investigate the treatment response after injection of botulinum toxin type A. Ten patients with unilateral epicondylitis and decreased intramuscular blood flow in ECRB participated. Handgrip, 2-pinch grip and muscle strength during radial deviation and dorsal extension of the wrist were recorded. Perceived pain during contraction was evaluated with the Visual Analogue Scale (VAS) and function in daily activities was assessed using the Disability of Arm, Shoulder and Hand instrument (DASH) and the Canadian Occupational Performance Measure instrument (COPM). Intramuscular blood flow was recorded by laser Doppler flowmetry, and microdialysis was used to analyze muscle metabolism. The difference in intramuscular blood flow between the control and the affected side had decreased 3 and 12 months after treatment (P=0.03). Lactate concentration at the 12-month follow-up had decreased (P=0.02); perceived pain was reduced and function in daily activities had improved. Injection of botulinum toxin is an alternative treatment for epicondylitis. Symptom relief may be due to enhanced microcirculation causing an aerobic metabolism.

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)0.001
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 score0.228
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.008
GPT teacher head0.264
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".

Quick stats

Citations28
Published2009
Admission routes1
Has abstractyes

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