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Record W2370070707

Correlation between MR appearances of sacroiliac joint and inflammation activity in ankylosing spondylitis

2011· article· en· W2370070707 on OpenAlexaboutno aff
Lie Dai

Bibliographic record

VenueZhongguo yixue yingxiang jishu · 2011
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBASDAIAnkylosing spondylitisSacroiliitisSacroiliac jointSpondylitisCorrelationInternal medicineSurgeryArthritis
DOInot available

Abstract

fetched live from OpenAlex

Objective To analyze the correlation between the Spondyloarthritis Research Consortium of Canada(SPARCC) score of MRI in ankylosing spondylitis(AS) and clinical bath ankylosing spondylitis disease activity index(BASDAI) score.Methods Forty patients with AS confirmed clinically were included.All the patients underwent sacroiliac joint MR examination,and then were evaluated using SPARCC score.According to the BASDAI score,the patients were divided into two groups:Static group and active group.Comparative analysis was done between two groups.Results There was statistical difference of SPARCC score between the two groups(P0.05).Spearman correlation coefficient between SPARCC score and BASDAI score was 0.39(P=0.014).Conclusion In evaluating the activity in sacroiliitis of AS,SPARCC score of sacroiliac joints is positively correlated with the clinical BASDAI score.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.041
GPT teacher head0.258
Teacher spread0.218 · 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.

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
Published2011
Admission routes1
Has abstractyes

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