MétaCan
Menu
Back to cohort
Record W2036651776 · doi:10.2174/1874312901206010064

Pentosidine, an Advanced Glycation End-Product, May Reflect Clinical and Morphological Features of Hand Osteoarthritis

2012· article· en· W2036651776 on OpenAlexaboutno aff
M. Braun

Bibliographic record

VenueThe Open Rheumatology Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersMinisterstvo Zdravotnictví Ceské Republiky
KeywordsPentosidineMedicineAdvanced glycation end-productGlycationOsteoarthritisProduct (mathematics)BioinformaticsPathologyInternal medicineReceptorAlternative medicine

Abstract

fetched live from OpenAlex

The study investigates pentosidine levels, an advanced glycation end-product, in patients with erosive and non-erosive hand osteoarthritis (HOA) and determine its potential association with clinical findings and imaging-defined joint damage.Pentosidine was measured by HPLC in serum and urine of 53 females with HOA (31 erosive and 22 non-erosive HOA) and normalised to the total serum protein or urinary creatinine, respectively. Pain, joint stiffness and disability were assessed by the Australian/Canadian OA hand index (AUSCAN). The hand radiographs scored according to the Kallman grading scale were assessed to determine a baseline value and reassessed after two years.The levels of urine pentosidine, but not of serum pentosidine, were higher in patients with erosive HOA than in non-erosive HOA (p=0.039). Urinary pentosidine correlated with CRP (r=0.302, p=0.031), ESR (r=0.288, p=0.041) and AUSCAN (r=0.408, p=0.003). Serum pentosidine, but not in urine, significantly correlated with the Kallman radiographic score in erosive HOA at the baseline (r=0.409, p=0.022) and after 2 years (r=0.385, p=0.032). However, when corrected for age and disease duration, only correlation between urine pentosidine and AUSCAN remained significant (r=0.397, p=0.004).Our data suggest that serum and urine pentosidine levels may relate to the distinctive clinical and morphological features of HOA.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.046
GPT teacher head0.371
Teacher spread0.325 · 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

Citations10
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueThe Open Rheumatology JournalSame topicOsteoarthritis Treatment and MechanismsFrench-language works237,207