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Enregistrement W2977659760 · doi:10.14309/00000434-201310001-01846

Response Rates in the Control Arms of Randomized Controlled Trials: A Systematic Review and Meta-analysis of Trials on Monoclonal Antibodies in Ulcerative Colitis

2013· review· en· W2977659760 sur OpenAlexaffabout
Michelle Buresi, Gilaad G. Kaplan, Guanmin Chen, Subrata Ghosh, Remo Panaccione, Ali Rezaie

Notice bibliographique

RevueThe American Journal of Gastroenterology · 2013
Typereview
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueInflammatory Bowel Disease
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésMedicineMeta-analysisInternal medicinePlaceboUlcerative colitisRandomized controlled trialClinical trialUnivariate analysisInflammatory bowel diseaseGastroenterologyVedolizumabDiseasePathologyMultivariate analysisAlternative medicine

Résumé

récupéré en direct d'OpenAlex

Purpose: Monoclonal antibodies (mAbs), which target specific inflammatory molecules and/or pathways have revolutionized the management of inflammatory bowel diseases, including ulcerative colitis (UC) and Crohn's disease. Several randomized controlled trials (RCTs) assessing the efficacy of mAbs have observed considerable response rates in the control (i.e. placebo) arms. We performed a systematic review and meta-analysis of RCTs on mAbs in patients with UC to assess the magnitude and determinants of clinical remission, clinical response, and mucosal healing rates in the placebo arms. Methods: Medline, Embase, other electronic databases, article reference lists, and conference proceedings were searched up to February, 2013 for double-blind placebo-controlled RCTs assessing the efficacy of mAbs in active UC patients. Relevant conference proceedings were manually reviewed. A random effects model was used for meta-analysis. Univariate logistic metaregression was performed on 15 different trial/patient-related characteristics. Results: Of 1,077 potentially relevant studies, 15 RCTs assessing anti-tumor necrosis factor, anti CD-20, anti CD-3, anti-interlukin-2, and anti α4β7 Abs were included in the analysis. One study assessed the “maintenance of remission,” 10 studies assessed the “induction of remission,” and four studies assessed both. For induction studies, the pooled estimates of remission, response, and mucosal healing were 11% (95% CI 8-13), 37% (95% CI 32-43), and 29% (95% CI 22-36), respectively. For maintenance studies, the pooled remission, response, and mucosal healing rates were 13% (95% CI 9-16), 23% (95% CI 19-28), and 21% (95% CI 16-27), respectively. Intravenous drugs were more likely to induce remission than subcutaneous route (13% vs. 8%, P 0.03), but clinical response and rate of mucosal healing were similar. Studies which included <40% females had higher clinical response rates than studies with >40% females (47% vs. 35%, P 0.04), but clinical remission and rate of mucosal healing were similar. We found no other trial/patient-related characteristics to explain the heterogeneity of the data. Conclusion: Significant clinical remission and response rates are observed in the control arms of the RCTs on mAbs in UC. Approximately one third of the patients in the placebo arms had objective mucosal healing. This may be due to the relapsing and remitting clinical course of UC, rather than any specifi c trial/patient-related characteristics. Remission rates in the control arms are significantly lower than mucosal healing rates. This may be due to overlapping irritable bowel syndrome-like symptoms leading to overestimation of activity indices. These results should be considered in the design and sample size calculation of future trials in UC. Disclosure - Ali Rezaie: Fellowship from Canadian Institute of Health Research. None with industry Dr. Panaccione has served as a speaker, a consultant and an advisory board member for Abbott Laboratories, Merck, Schering-Plough, Shire, Centocor, Elan Pharmaceuticals, and Procter and Gamble. He has served as a consultant and speaker for Astra Zeneca. He has served as a consultant and an advisory board member for Ferring and UCB. He has served as a consultant for Glaxo-Smith Kline and Bristol Meyers Squibb. He has served as a speaker for Byk Solvay, Axcan, Jansen, and Prometheus. He has received research funding from Merck, Schering-Plough, Abbott Laboratories, Elan Pharmaceuticals, Procter and Gamble, Bristol Meyers Squibb, and Millennium Pharmaceuticals. He has received educational support from Merck, Schering-Plough, Ferring, Axcan, and Jansen. Dr. Ghosh has served as a speaker for Merck, Schering-Plough, Centocor, Abbott, UCB Pharma, Pfizer, Ferring, and Procter and Gamble. He has participated in ad-hoc advisory board meetings for Centocor, Abbott, Merck, Schering-Plough, Proctor and Gamble, Shire, UCB Pharma, Pfizer, and Millennium. He has received research funding from Procter and Gamble, Merck, and Schering-Plough. Gilaad Kaplan has served as a speaker for Merck, Schering-Plough, Abbott, and UCB Pharma. He has participated in advisory board meetings for Abbott, Merck, Schering-Plough, Shire, and UCB Pharma. Dr. Kaplan has received research support from Abbott and Shire. Guanmin Chen: None Michelle Buresi: None.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,070
score de la tête « metaresearch » (Gemma)0,166
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: Méta-analyse
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,070
Score d'incertitude au seuil0,371

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0700,166
Méta-épidémiologie (sens strict)0,0040,003
Méta-épidémiologie (sens large)0,0330,057
Bibliométrie0,0110,012
Études des sciences et des technologies0,0010,002
Communication savante0,0050,004
Science ouverte0,0030,002
Intégrité de la recherche0,0040,003
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,057
Tête enseignante GPT0,374
Écart entre enseignants0,317 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations0
Publié2013
Routes d'admission2
Résumé présentoui

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