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Record W2084330456 · doi:10.1002/art.38579

A153: Long‐term Outcomes of Childhood‐Onset Systemic Lupus Erythematosus in Adulthood

2014· article· en· W2084330456 on OpenAlexaffabout
Deborah M. Levy, Nadia Gunraj, Roberta Berard, Peter B. Dent, Janet Pope, Carter Thorne, Johannes Roth, Wesley Fidler, Murray Berall, Astrid Guttmann, Earl D. Silverman

Bibliographic record

VenueArthritis & Rheumatology · 2014
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsSt. Joseph's Care GroupSouthlake Regional Health CenterHumber River Regional HospitalMcMaster UniversitySickKids FoundationUniversity of TorontoSt Joseph's Health CareChildren's Hospital of Western OntarioChildren's Hospital of Eastern OntarioInstitute for Clinical Evaluative SciencesHospital for Sick Children
Fundersnot available
KeywordsTerm (time)MedicinePediatricsPsychologyPhysics

Abstract

fetched live from OpenAlex

Background/Purpose: Little is known about the long‐term morbidity and mortality of childhood‐onset SLE (cSLE) after transition to adult care; however, linking clinical data to administrative databases enables study of previously unknown outcomes. Our objectives were to describe long‐term outcomes in young adults with cSLE, including: i) cardiovascular outcomes; ii) renal outcomes; iii) joint replacement surgery due to avascular necrosis; iv) malignancies; and v) pregnancies and births. Methods: A retrospective chart review of all cSLE patients (<18 years at diagnosis) diagnosed between Jan 1, 1984 and Dec 31, 2011 and followed for ≥1 year was conducted after contacting all pediatric and adult rheumatologists and nephrologists practicing in Ontario. Clinical data and Ontario Health Insurance Plan (OHIP) numbers were securely transferred to the Institute for Clinical Evaluative Sciences (ICES). OHIP numbers were transformed into an encrypted ICES key number (IKN) used to link the cohort to multiple administrative datasets to determine the outcomes of interest. Outcomes were determined using validated definitions. Means ± standard deviations are given unless noted. Results: 622 cSLE patients are included in this inception cohort. The cohort was predominantly female (81%) with mean follow‐up of 10.7 ± 7.3 years, representing 6629 person‐years of disease. Age at diagnosis was 12.8 ± 3.2 years. There were 34 (6%) hospitalizations for cerebrovascular events, at mean age 18.1 ± 7.7 years, and disease duration 6.7 ± 7.0 years. Fewer than 6 hospitalizations for myocardial infarctions occurred at a median disease duration of 10.7 years. 273 (44%) patients had biopsy‐proven lupus nephritis, with end stage renal disease occurring in 20 (7.3%) of these patients at mean age 31.4 ± 8.0 years, and disease duration 17.5 ± 8.7 years. Eight patients underwent renal transplant. Twenty‐two (3.5%) patients have had 32 hip replacement surgeries, at mean age 24.2 ± 6.6 years and disease duration 10.1 ± 6.7 years. Fewer than 6 patients have had knee and/or ankle replacement surgery. Fourteen malignancies occurred in 13 (2%) patients, at mean age 28.2 ± 9.2 years and disease duration 16.5 ± 7.2 years. Nine were female reproductive and/or hematologic malignancies. Obstetrical outcomes were examined in females ages 15–45 years. Of 222 pregnancies, there were 82 (37%) live births, occurring at mean age 26.4 ± 4.9 years and disease duration 12.1 ± 5.5 years. Fewer than 6 pregnancies resulted in twins. There were 90 (41%) therapeutic abortions, 39 (18%) miscarriages, and 8 (4%) still births. Conclusion: Myocardial infarction and end‐stage renal failure rates in this cohort with universal healthcare appear to be lower than reported in other populations. Cerebrovascular disease, hip replacement surgery and malignancies were significant morbidities in this cohort of young adults. Many women were able to conceive and deliver live infants; however, the miscarriage and stillbirth rates were greater than expected for young women.

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)0.002
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 score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.276
Teacher spread0.263 · 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

Citations1
Published2014
Admission routes2
Has abstractyes

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