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POS0868 NOT ALL SYNDESMOPHYTES ARE EQUAL: THE IMPACT OF BODY MASS INDEX ON THE PRESENCE, LOCATION AND TYPE OF SYNDESMOPHYTES IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS

2023· article· en· W4379524144 on OpenAlexaff
Ümmügülsüm Gazel, Sibel Bakırcı, Gizem Ayan, Dilek Solmaz, Elliot Hepworth, Sibel Zehra Aydın

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineAxial spondyloarthritisAnkylosing spondylitisSurgerySacroiliitis

Abstract

fetched live from OpenAlex

Background New bone formation is a hallmark of Axial spondyloarthritis (axSpA). Body mass index (BMI) is associated with the presence of syndesmophytes, especially in males. To date, it is not clear whether obesity impacts the axSpA through adipokines or biomechanical forces. Objectives We aimed to investigate the relation between BMI and the presence and types of syndesmophytes at different spine levels, to better understand the impact of biomechanical forces in AxSpA. Methods AxSpA patients who had cervical and lumbar spine x-rays as their standard of care were included (n=144). The cervical and lumbar spine xrays were scored separately, for the presence and type (thin vs bulky) of syndesmophytes. The factors associated with syndesmophytes were investigated, using a multivariate logistic regression. Results The mean±SD age of the patients was 45.2±14.0. Syndesmophytes were seen in 48 (33.3%) patients of the cervical and 43 (29.9%) of the lumbar spine. Older and male patients had more frequent syndesmophytes on both levels. While the BMIs of patients with lumbar syndesmophytes were higher than those without (28.4 (8.2) vs 26.8 (7.0), p=0.015), patients with and without cervical syndesmophytes had similar BMIs (27.1 (8.3) vs 28.2 (7.5), p=0.177). Patients with cervical syndesmophytes had higher frequency of uveitis (47.9% vs 20.8%, p=0.001) than those without, which could not be detected for lumbar syndesmophytes. In regression analysis, age and male gender were associated with syndesmophytes in both the cervical and lumbar spine, whereas uveitis was associated only with syndesmophytes in the cervical spine (Table 1). BMI was associated only with syndesmophytes in lumbar spine, but not the cervical spine. The only factor that was found to be associated with bulky (vs thin) syndesmophytes was BMI for the lumbar spine, but not for the cervical spine (Table 1). Presence of PsA was not linked to the bulky type syndesmophytes. Conclusion Higher BMI increases the risk of syndesmophytes in the lumbar spine as well as impacting its shape; but not in the cervical spine. Abdominal obesity (apple-shaped) is more common among men in general. We hypothesize that the obesity may be increasing the risk of lumbar syndesmophytes as well as bulkiness in males due to the mechanical forces, which may not be seen in generally “pear-shaped” women, where the fat tissue and mechanical forces spare the lumbar spine. References NIL. Acknowledgements: NIL. Disclosure of Interests 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)0.000
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0130.002

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 head0.022
GPT teacher head0.284
Teacher spread0.261 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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