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Enregistrement 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 sur 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

Notice bibliographique

RevueArthritis & Rheumatology · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueAutoimmune and Inflammatory Disorders Research
Établissements canadiensAlberta Children's HospitalUniversity of CalgaryQueen's UniversitySickKids FoundationUniversity of TorontoUniversity of OttawaHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésMedicineDermatologyPediatrics

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,034
Score d'incertitude au seuil0,882

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,232
Écart entre enseignants0,225 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2014
Routes d'admission2
Résumé présentoui

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