MétaCan
Menu
Back to cohort

33 Trochanteric Bursistis – A Misnomer, Gluteal Tendinopathy – Not The Whole Story?

2014· article· en· W2107549684 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAbstracts · 2014
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTendinopathyMedicineTendonTendinosisPathologyTendinitisTendon sheath

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Greater trochanteric pain syndrome (GTPS) is common and can cause significant pain and dysfunction.<sup>3</sup> While both trochanteric bursae and gluteal tendons have been implicated in the pathology,<sup>2,6</sup> the underlying pathology remains controversial. Studies reporting on pathology are limited by sample size or methods, including lack of comparison specimens. Thus the aim of this study was to clarify the role of tendon and bursa pathology in GTPS. <h3>Methods</h3> Tendon and bursa specimens were obtained from 64 participants: 35 with GTPS and 29 control participants. Specimens were evaluated by a minimum of two investigators via light microscopy for histopathological and morphological differences. Immunohistochemistry methods were used to evaluate macrophages (CD68), inflammatory cells (CD45) and substance P. Tendon was evaluated used the Bonar score3. Bursa specimens were evaluated via a semi-quantitative scoring system. Second harmonic generation microscopy, via multiphoton excitation fluorescence (MPEF) was used to illustrate morphological findings (Figure 1). <h3>Results</h3> Higher levels of pathology were found in specimens from participants with GTPS vs controls. The stroma of the bursa score, mean (SD): GTPS 4.18 (1.65) vs. control 2.53 (1.61), p = 0.051. Bonar (tendon) score, mean (SD): GTPS 12.65 (2.0) vs. control 10.43 (4.83), p = 0.04. There was a higher frequency of SubP in bursa (9/12 vs 6/16, p = 0.047), but not the tendon (8/12 vs. 8/15, p = 0.484) of specimens from participants with GTPS vs controls. There was no evidence of increased frequency of macrophages or other inflammatory cells in the bursa or the tendon specimens from either group. Intra adipose septa were identified and found to be present more frequently in the stroma of bursa specimens of participants with GTPS than controls (27/31 vs 15.27, Fisher exact: p = 0.008), (Figure 1). <h3>Discussion</h3> Tendon pathology present in both groups, with higher degree of pathology in GTPS. More extensive bursa pathology was seen in the GTPS group, along with a higher frequency of SubP in the bursae from the GTPS than the OA group. This may explain why bursectomy appears to be a successful treatment for some people with GTPS.<sup>1</sup> The IAS has previously reported in rats,<sup>5</sup> but not to our knowledge, in humans. This well organised structure may play a role in bursa stabilisation and shear mitigation. Pathologically it may reduce the ability of the bursa stroma to mitigate compression forces over the tendon. <h3>References</h3> Baker, <i>et al</i>. Arthroscopy. 2007;23:827–832 Connell, <i>et al</i>. <i>Eur Radiol</i>. 2003;13:1339–1347 Fearon, <i>et al</i>. <i>J Arthroplasty</i>. 2014;29:383–386 Fearon, <i>et al</i>. J Sci Med Sport. 2013;doi: 10.1016/j.jsams.2013.07.008 Shaw, <i>et al</i>. <i>J Anat</i>. 2007;211:436–443 Spear, <i>et al</i>. <i>Surg Clin N Amer</i>. 1952;32:1217–1224

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.001

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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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