Treatment Algorithms for Systemic Sclerosis According to Experts
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Notice bibliographique
Résumé
OBJECTIVE: There is a lack of agreement regarding treatment for many aspects of systemic sclerosis (SSc). We undertook this study to generate SSc treatment algorithms endorsed by a high percentage of SSc experts. METHODS: Experts from the Scleroderma Clinical Trials Consortium and the Canadian Scleroderma Research group (n = 170) were asked whether they agreed with SSc algorithms from 2012. Two consensus rounds refined agreement; 62, 54, and 48 experts (36%, 32%, and 28%, respectively) completed the first, second, and third surveys, respectively. RESULTS: For treatment of scleroderma renal crisis, 81% of experts agreed (first-, second-, and third-line treatments were angiotensin-converting enzyme inhibitors, then adding calcium-channel blockers [CCBs], then adding angiotensin receptor blockers [ARBs], respectively). For pulmonary arterial hypertension (PAH), 81% of experts agreed (for mild PAH, treatments were phosphodiesterase 5 [PDE5] inhibitors, then endothelin receptor antagonists plus PDE5 inhibitors, then prostanoids, respectively; for severe PAH, prostanoids were first-line treatment). For mild Raynaud's phenomenon (RP), 79% of experts agreed (treatments were CCBs, then adding PDE5 inhibitors, then ARBs or switching to another CCB, respectively; after the third line of treatment, mild RP was deemed severe). For severe RP, the first- through fourth-line treatments were CCBs, then adding PDE5 inhibitors or prostanoids, then adding PDE5 inhibitors (if not added as second-line treatment) or prostanoids (if not added as second-line treatment), then switching to another CCB, respectively. For active treatment of digital ulcers, 66% of experts agreed (first- and second-line treatments were CCBs and PDE5 inhibitors, respectively). For interstitial lung disease, 69% of experts agreed (for induction therapy, treatments were mycophenolate mofetil [MMF], intravenous cyclophosphamide [IV CYC], and rituximab, respectively; for maintenance, first-line treatment was MMF). For skin involvement, 71% of experts agreed (for a modified Rodnan skin thickness score [MRSS] of 24, first- and second-line treatments were methotrexate [MTX] and MMF, respectively; for an MRSS of 32, first- through fourth-line treatments were MMF, MTX, IV CYC, and hematopoietic stem cell transplantation, respectively). For inflammatory arthritis, 79% of experts agreed (first- through fourth-line treatments were MTX, low-dose glucocorticoids, hydroxychloroquine, and rituximab or tocilizumab, respectively). Algorithms for cardiac and gastrointestinal involvement had ≥75% agreement. CONCLUSION: Total agreement for SSc algorithms was considerable. These algorithms may guide treatment.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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