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SLE AT THE TURN OF THE THIRD MILLENNIUM: HOW DISEASE MANAGEMENT HAS CHANGED IN CLINICAL PRACTICE

2025· article· en· W4410513000 on OpenAlexvenueno aff
Chiara Tani, Davide Schiliró, Viola Signorini, Luca Gualtieri, Giancarlo Cascarano, Dina Zucchi, A. Valevich, Chiara Cardelli, Chiara Stagnaro, Linda Carli, Elena Elefante, Marta Mosca

Bibliographic record

VenueThe Journal of Rheumatology · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIntensive care medicineDisease managementDiseaseInternal medicine

Abstract

fetched live from OpenAlex

PV238 / #532 Poster Topic: AS23 - SLE-Diagnosis, Manifestations, & Outcomes Background/Purpose With the new millennium major changes have occurred in the management of lupus, these encompass the optimization of the use of old drugs, the identification of therapeutic targets such as LLDAS and remission and the introduction of new drugs such as biologics. The aim of the present study was to analyze how the new treatment paradigm impacted on the management of SLE over time in the real-life setting. Methods This is a retrospective observational study on SLE patients regularly followed at our unit and with a follow-up of at least 1 year; patients were divided in 2 groups: group 1 including patients diagnosed between 1980 and 2000 and group 2 those diagnosed after 2000. Demographic characteristics, clinical manifestations at disease onset and cumulative organ involvement, disease activity, organ damage and disease state over time and treatments received were compared. Results 428 SLE patients were included in the study, 377 females (88%), 143 patients in Group 1 (33.4%) and 285 (66.6%) in group 2. Presenting symptoms were similar between the 2 groups, while over the entire disease course we found a higher frequency of renal involvement (54% vs 40%) and neuropsychiatric involvement (17% vs 6%) in patients diagnosed before 2000. As far as therapy is concerned, almost all patients received GC during their disease course although in group 2 we found 11 patients who did never take GC (4%, p=0.02). Longitudinal analysis of the GC cumulative dose showed similar doses during the first year of the disease; however, at 5 and 10 years after diagnosis group 1 received significantly higher dosages (median 8.7 g vs 7.6 g and 15.35 g vs 14 g respectively, p<0.001 in both analyses). Interestingly, a higher percentage of patients was GC-free at 5 years from diagnosis in the group diagnosed after 2000 (29.4% vs 6.6%). 394 patients received HCQ during the disease course (93.5%), a higher proportion of patients in group 2 although not statistically different (95% vs 90%). The proportion of patients who received at least 1 IS drug within the first year of follow-up was significantly higher in patients diagnosed after 2000 (60.7% vs 39%, p<0.001) Overall, 129 patients received at least on biological drug (30%), with a significantly higher proportion in group 2 (34% vs 22%, p=0.01). In group 2, 22 (8%) patients received a biological treatment within the first year since diagnosis. At 1 year from diagnosis remission resulted more frequently achieved in patients diagnosed after 2000 (57% vs 46% respectively, p=0.03). Overall 9.7% of patients developed at least 1 item of the SLICC/DI within the first year from diagnosis (median SDI=1, range 1-3); 17.7% within 5 years (median SDI= 1, range 1-5) and 32.6% within 10 years (median SDI=1, range 1-6). The median damage score over time was similarly very low in both groups. The occurrence of renal damage (RD), cardiovascular events (CVE) and osteoporotic fractures did not show statistically significant differences between the 2 groups. Conclusions The study highlights how the clinical management of SLE patients has changed in recent years by incorporating the new treatment paradigm based on the early use of immunosuppressive drugs and steroid-sparing strategies, resulting in more effective disease control.

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)0.011
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.003
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0020.002
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 head0.071
GPT teacher head0.442
Teacher spread0.371 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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