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Record W2015382789 · doi:10.1097/phm.0b013e3181fc7da2

Ultrasound-Guided Aspiration and Corticosteroid Injection of Baker's Cysts in Knee Osteoarthritis

2010· article· en· W2015382789 on OpenAlexaboutno aff
L Santé, Marco Paoloni, Francesco Ioppolo, Mauro Dimaggio, Sara Renzo, Valter Santilli

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2010
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal synovial abnormalities and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisCorticosteroidCystSagittal planeVisual analogue scaleKnee painProlotherapyUltrasoundProspective cohort studySurgeryUltrasonographyRadiologyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine the effect on pain, function, and ultrasonographic findings of ultrasonography-guided Baker's cyst aspiration followed by corticosteroid injection in a group of patients with Baker's cyst secondary to knee osteoarthritis. DESIGN: Prospective observational study. RESULTS: Twenty-six subjects participated in this study. Clinical and instrumental evaluations were performed at baseline (T0), 1 wk (T1), and 4 wks (T2) after procedure. Mean Visual Analog Scale scores significantly dropped after the procedure (T0 = 6.2 [1.2]; T1 = 4.48 [1.5]; T2 = 4.32 [1.3]; T0 vs. T1 and P < 0.0001). A significant difference between preprocedure and postprocedure Western Ontario and McMaster Universities scores was found for pain (P < 0.0001) but not for joint stiffness (P = 0.7239) and disability (P = 0.6318). Ultrasonographic evaluation showed a significant reduction for both axial (P = 0.006) and sagittal (P = 0.01) areas of Baker's cyst, but no correlation was found between pain relief and Baker's cyst volume reduction. CONCLUSIONS: Cyst aspiration with corticosteroid injection give pain relief and cyst volume reduction in patients with Baker's cyst and concomitant knee osteoarthritis. However, when compared with current literature, our results are similar to those obtained with intra-articular knee corticosteroid injection.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.276
Teacher spread0.270 · 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

Citations42
Published2010
Admission routes1
Has abstractyes

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