MétaCan
Menu
← Back to cohort

CLUSTER ANALYSIS IN MALE PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS

2025· article· en· W4410513100 on OpenAlexvenueno aff
Pedro de Souza Quevedo, Diana L. Muñoz, Javier Mauricio Mora Méndez, L. Martínez Estupiñan

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCluster (spacecraft)Systemic diseaseLupus erythematosusImmunopathologyDermatologyInternal medicineImmunologyAntibody

Abstract

fetched live from OpenAlex

PV151 / #17 Poster Topic: AS17 - Miscellaneous Background/Purpose Systemic lupus erythematosus (SLE) is a disease with greater severity in male patients due to greater renal and neuropsychiatric involvement; as well as greater positivity for anti-DNA, anti-Sm, anti-Ro/SSA, anti-U1RNP, anti-cardiolipin antibodies, decreased complement C3, and SLEDAI.1 This greater severity is related to testosterone levels and its action in regulating the immune system, where IL6, TNF alpha and IL1b levels are negatively regulated by this hormone. The main objective was to explore although a cluster analysis, the groupability of male patients with SLE according to their Euclidean distances. Methods Cross-sectional retrospective study in the rheumatology department of the San Rafael Clinic University Hospital from Bogotá (Colombia). The chi-square test (X 2 ) was used to evaluate the association between qualitative variables, with a p-value <0.05 considered significant. To evaluate the correlation between the quantitative variables, the Pearson correlation coefficient (r) was carried out, a simple linear regression model was used to estimate the value of the beta coefficient and the R 2 . For the multivariate analysis, a cluster analysis was performed with distance measurement by the Euclidean method, and different link methods were explored. Results 162 patients were included, which 32 (19.7%) were men, with a significantly older age compared to women (43±16.9 vs 35.5±26 years, p = 0.032), as well as a higher SLEDAI (11.5±12.5 vs 8±12 p = 0.047) and shorter duration of the disease in months (12±0.5 vs 24±72, p= 0.008). Regarding clinical manifestations, men were 80% less likely to have acute/subacute cutaneous lupus (15.6% vs 52.3% OR: 0.20 95% CI 0.05 – 0.58 p=0.001) and oral ulcers/ nasal ulcers (15.6% vs 42.3% OR: 0.25 95% CI 0.07 – 0.72 p= 0.009), although thrombocytopenia was more prevalent (46.8% vs 26.9% OR: 2.38 95% CI 0.99 – 5.69 p= 0.048). A hierarchical cluster model was performed; the matrix of Euclidean distances was created and the groupability of the data was evaluated based on the Hopkins test with a value of 0.74.This grouping was performed using the Ward method: cluster 1 composed of 28 patients and cluster 2 of 4; in the cluster 1, the patients were older (43±16.2 vs 31.5±18.4 p=0.23) and had greater disease activity by SLEDAI (13.5±14 vs 10±5.3 p=0.62).They had a shorter time of evolution (12±23 vs 105±37.1 p= 0.001). The positivity of antiphospholipid antibodies occurred more frequently in cluster 2, corresponding to the youngest age group. Conclusions The severity of the disease differs according to sex, with greater inflammatory expression in older male patients.

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)0.002
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Rheumatology→Same topicSystemic Lupus Erythematosus Research→French-language works237,207→