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Record W4385894673 · doi:10.21608/ejhm.2023.312355

Relationships between Serum Interleukin-6, Radiographic Severity a WOMAC Index in Patients with Primary Knee Osteoarthritis

2023· article· en· W4385894673 on OpenAlexfundaboutno aff
Riham Adel, Nema A. Soliman, Shereen Elwan

Bibliographic record

VenueThe Egyptian Journal of Hospital Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersTanta UniversityMcMaster University
KeywordsMedicineWOMACOsteoarthritisRadiographyInternal medicineIndex (typography)Physical therapyGastroenterologyRadiologyPathology

Abstract

fetched live from OpenAlex

Background: Osteoarthritis (OA) is the highest prevalent degenerative joint condition, leading to joint discomfort and impaired function. Objective: This study aimed to examin the relationship among serum interleukin-6 (IL-6) and knee osteoarthritis (KOA) signs as well as the relationship among serum IL-6 and radiographic severity in cases with primary KOA. Methods: This case-control research involved 50 primary KOA cases and 50 controls. Signs were measured through the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Results: Serum IL-6 was significantly elevated in OA cases than controls. WOMAC in OA cases ranged from 0 to 95 and Kellegren-Lawrence (KL) score mean was 2.7 ± 0.76.Serum IL-6 was significantly correlated with pain, physical function score, and radiographic score.Regression analysis revealed that IL-6 had a higher influence on WOMAC and KL score. Conclusion: Serum IL-6 is elevated in KOA cases. In addition, serum IL-6 is associated with OA signs and radiographic severity.

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 score0.043
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.218
Teacher spread0.208 · 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

Citations3
Published2023
Admission routes2
Has abstractyes

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