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Record W2026840698 · doi:10.1136/bmj.e7657

John Anthony Clark Wilson

2012· article· en· W2026840698 on OpenAlexaboutno aff
Ian A. Wilson

Bibliographic record

VenueBMJ · 2012
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisInternal medicineVisual analogue scaleGastroenterologyCalcium pyrophosphateStage (stratigraphy)SurgeryCalciumPathology

Abstract

fetched live from OpenAlex

Background The role and the significance of calcium crystals (CC) in synovial inflammation and in Osteoarthritis (OA) progression is somewhat debated. Calcium pyrophosphate (CPP) and basic calcium phosphate (BCP) are the most common CC in OA. Objectives The aim of this study was to evaluate the presence of CC in synovial fluid (SF) using ultrasensitive analysis by scanning electron microscopy (SEM) in the various stages of symptomatic and radiographic knee OA (KOA). Methods One hundred twenty consecutive outpatients with KOA underwent knee arthrocentesis. Of these, 49 (40.8%) were in an early stage (<1 year). The SF samples were analyzed by compensated polarized light microscopy and SEM. Patients9 medical history, clinical features, Kellgren Lawrence radiological score (KLRS), ultrasound power Doppler (USPD) signal were assessed. The Western Ontario and McMaster Universities OA Index (WOMAC) self-assessment questionnaire, the Lequesne algofunctional index (Lequesne) survey, and the visual analogic scale (VAS) forms were assessed in all patients. All the patients gave written informed consent. Results CC were detected by SEM in 62/120 (51.6%) samples. The patients positive to CC (CC+) were older (p=0.036), had a greater difficulty in moving (p=0.0041), a higher SF PMN percentage (0.0041) and a higher USPD (p≤0.0001) with respect to the group of patients negative to CC (CC-). CPP crystals were positive in 37/120 patients (30%) by SEM. Age (p=0.0002), disease duration (p=0.041), pain (p=0.039), KLRS (p=0.0334) and USPD (p=0.0001) were significant different in the 2 groups of patients subdivided by the presence of CPP. BCP were detected in 33/120 patients (27.5%) by SEM. Subdividing patients by the presence of BCP, we found a significant differences as regard WOMAC (p=0.0001), pain (p=0.0001), stiffness (p<0.0001), functional impairment (p<0.0001), Lequesne index (p<0.0001), VAS (<0.0004) and USPD (p<0.0001). A correlation between KLRS and disease duration (DD) was found in the BCP+ group. The patients were then subdivided into three groups according to DD: I <1yr (N.49) early KOA; II 1-5 yrs (N.27); III >5 yrs (N.44) late KOA. Univariate analysis highlighted a significant difference in age and USPD. In the I group, patients BCP+ significant differences were found in pain (p=0.0002), stiffness (p=0.045), functional impairment (p=0.0014), WOMAC (p=0.0002) and USPD (p=0.0009), all higher with respect to patients negative to BCP. (Figure 1a, b, c) Conclusions The presence of CC was found to be correlated with a more severe clinical status, worse imaging findings, and positive USPD. The presence of BCP crystals in the early KOA group, which was associated to inflammatory aspects, suggests a possible role of BCP crystals in the pathogenesis of the disease. References Scanzello CR, Goldring SR. The role of synovitis in osteoarthritis pathogenesis. Bone. 2012;51:249-57 Berenbaum F. Osteoarthritis as an inflammatory disease (osteoarthritis is not osteoarthrosis!) Osteoarthritis Cartilage.2013;21:16-21 Rosenthal AK. Crystals, inflammation, and osteoarthritis. Curr Opin Rheumatol.2011;23:170-3 Disclosure of Interest None declared

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.410
Threshold uncertainty score0.842

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.4100.215

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 head0.017
GPT teacher head0.332
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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
Published2012
Admission routes1
Has abstractyes

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