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Record W1970400018 · doi:10.1002/art.38596

A170: Neoplasms in Pediatric Patients with Rheumatic Diseases Exposed to Biologics—A Quarternary Centre's Experience

2014· article· en· W1970400018 on OpenAlexaffabout
Rachana Hasija, Earl D. Silverman, Stephanie Cho, Lillia Fung, Susanne M. Benseler, Bonnie Cameron, Brian M. Feldman, Ronald M. Laxer, Deborah M. Levy, Rayfel Schneider, Lynn Spiegel, Rae S. M. Yeung, Michelle A. Anderson, Audrey Bell‐Peter, Holly Convery, Karen Queffelec, Megan Saunders, Shirley M. L. Tse

Bibliographic record

VenueArthritis & Rheumatology · 2014
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsAlberta Children's HospitalUniversity of CalgaryQueen's UniversitySickKids FoundationUniversity of TorontoUniversity of OttawaHospital for Sick Children
Fundersnot available
KeywordsMedicineDermatologyPediatrics

Abstract

fetched live from OpenAlex

Background/Purpose: Biologic therapies have revolutionized the management of rheumatic diseases of childhood. However, these medications are associated with adverse effects including the possible development of neoplasms. The aim of our study was to determine the rate as well as risk factors for the development of neoplasms in patients with JIA treated with biologics. Methods: We performed a retrospective review of the rheumatology biologic registry (RBR) at The Hospital for Sick Children (SickKids), Toronto, Canada, one of the largest quarternary pediatric referral centres in North America. Demographic and neoplastic data, clinical course and medication history were extracted from the RBR and clinical charts. Unless specified, data was expressed as median (IQR). The study was approved by the SickKids Ethics Review Board. Results: The cohort consisted of 357 patients with rheumatic diseases who were on one or more biologics between January 1997 and August 2013. Juvenile Idiopathic Arthritis (JIA) was the most common diagnosis [302/357 (84.5%)]. A total of 6/357 (1.68%) patients developed a neoplasm: 4 with JIA, 1 each with idiopathic uveitis and polyarteritis nodosa. (Refer to t87) Patient 1 Patient 2 Patient 3 Patient 4 Patient 5 Patient 6 Neoplasm Nasopharyngeal carcinoma 1. Tonsillar lymphoproliferative disorder (LD) in 2006 Clear cell renal carcinoma Hepatosplenic lymphoma Small blue cell sarcoma, undifferentiated Pilomatricoma 2. Renal carcinoma in 2011 Rheumatic Disease (RD) Idiopathic Uveitis Polyarteritis Nodosa Poly JIA (RF negative) Systemic JIA Oligo JIA (extended) Oligo JIA (extended) Age of onset of RD (years) 10.8 1.1 8.2 4.7 1.6 2.0 Sex Male Male Female Female Female Female DMARD(s), Cytotoxic agents MTX (4.7) MTX (1.2); MTX (6.2); MTX (3.6); MTX (7.2); CSA (3.2); (Time (years)) AZA (NA); LFN(0.2); CSA (0.9); LFN (0.2) AZA (4.3); Abbreviations: ‐Methotrexate (MTX), CYC (1.5) CSA (1.5); Tacrolimus (5.0); MTX (6.0); ‐Azathioprine (AZA), AZA (1.2); Etoposide (6 cycles over 34 days); LFN (2.8) ‐Leflunomide (LFN), SSA (0.9) Thalidomide (0.6) Cyclophosphamide (CYC), ‐Cyclosporine (CSA), ‐Sulfasalazine (SSA) ‐Not available (NA) Biologic(s) Infliximab (3.3) Infliximab (7.5) Etanercept (4.8) Etanercept (0.1); Etanercept (5.2) Infliximab (8.2); (Time (years)) Infliximab (1.7); Etanercept (1.5) Anakinra (1.9) Time to neoplasm (years) 5.3 1. 14.1 15.8 11.8 16.7 12.7 2. 18.6 Time from DMARD to neoplasm (years) 4.7 1. 6.8 17.6 11.8 8.4 12.6 2. 11.4 Time from Biologic to neoplasm (years) 3.3 1. 4.8 10.6 8.6 5.3 1.3 2. 9.3 Family history of neoplasm Maternal grandfather: lung cancer; Maternal grandmother: cervical cancer Mother died due to breast cancer. NA NA NA Strong family history of colon cancer Amongst patients with neoplasms, the median (IQR) age at rheumatic disease onset was 3.4 (1.7–7.3) years and the age of diagnosis of the neoplasm was 16.3 (15.3–17.9) years. All cancers were malignant except in patient 6 which was of a benign nature. On average, patients had exposure to 3 DMARDs (range 1–5), with methotrexate as the commonest DMARD used in 5/6 patients prior to diagnosis of the neoplasm. The time from the disease onset to initiation of DMARD was 3.9 (0.4–7.9) years. The time from the DMARD initiation and the diagnosis of a neoplasm was 10.1 (7.2–12.3) years. For methotrexate alone, the duration of use was 5.4 (3.9–6.1) years. All patients diagnosed with a neoplasm, had received both, DMARD(s) and biologic(s). 2 patients were on infliximab alone, 2 on etanercept alone and 2 on multiple biologics of which etanercept and infliximab were both used. The time between onset of a biologic and diagnosis of a neoplasm was 5.0 (3.6–7.7) years. Two patients (2 and 4) also received medications which are associated with the development of the neoplasms (cyclophosphamide or etoposide). Conclusion: Majority of neoplasms were of uncommon morphology and site as well as aggressive in nature. The neoplasms developed late after drug exposure with a median duration to diagnosis of neoplasm of 10.1 years on a DMARD and 5.5 years on a biologics. Whilst DMARDs and biologics are effective for the management of rheumatic diseases, patients with refractory disease requiring ongoing drug therapies should have malignancy/ neoplasm surveillance included as part of routine clinical care. Comparison of patients on biologics with and without neoplasms is in progress.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.034
Threshold uncertainty score0.882

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.232
Teacher spread0.225 · 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".

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Citations8
Published2014
Admission routes2
Has abstractyes

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