Comparison of Publication of Pediatric Probiotic vs Antibiotic Trials Registered on ClinicalTrials.gov
Notice bibliographique
Résumé
Importance: The published evidence in support of probiotic use is conflicting, which may be a result of selective publication of probiotic trials. Objectives: To compare the proportion of registered trials that evaluate pediatric probiotics vs those that evaluate antibiotics that are published and to identify study-related factors associated with publication status. Design, Setting, and Participants: This cross-sectional study evaluated eligible trials registered in ClinicalTrials.gov, an online clinical trials registry, from July 1, 2005, to June 30, 2016. Eligible studies included participants younger than 18 years, evaluated a probiotic or 1 of the 5 most commonly prescribed antibiotics in children and adolescents, and randomized study participants. All searches were updated and finalized as of September 9, 2020. Exposures: Probiotic or antibiotic. Main Outcomes and Measures: The primary outcome was study publication status. In addition, exposure status (probiotic vs antibiotic), trial result, and funding source were assessed for independent association with publication status. Whether study design elements, publication journal impact factor, and the interval from study completion to publication differed by exposure status were also evaluated. Results: A total of 401 unique trials (265 probiotic and 136 antibiotic) met eligibility criteria. A greater proportion of antibiotic compared with probiotic studies were published (83 [61.0%] vs 119 [44.9%]; difference, 16.1% [95% CI, 5.8%-25.9%]). After adjustment for funding source, blinding, and purpose, studies evaluating an antibiotic were more likely to be published (odds ratio, 2.1 [95% CI, 1.3-3.4]). No other covariates included in the model were independently associated with publication status. Antibiotic trials, compared with probiotic trials, were more likely to have a therapeutic purpose (114 [83.8%] vs 117 [44.2%]; difference, 39.6% [95% CI, 31.1%-48.3%]) and to be multicenter (46 [33.8%] vs 46 [17.4%]; difference, 16.5% [95% CI, 7.5%-25.7%]). The median impact factor of the journals in which the studies were published was higher for the antibiotic trials (7.2 [IQR, 2.8-20.5] vs 3.0 [IQR, 2.3-4.2]; P < .001). The median number of days to publication did not differ between the probiotic and antibiotic trials (683 [IQR, 441-1036] vs 801 [IQR, 550-1183]; P = .24). Conclusions and Relevance: The findings of this cross-sectional study suggest that probiotic studies are less likely to be published than antibiotic trials. No other study characteristics were associated with publication status. This finding raises concerns regarding the results of meta-analyses of probiotic trials.
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 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 | 0,495 | 0,362 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,055 | 0,010 |
| Bibliométrie | 0,001 | 0,007 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,003 | 0,000 |
| Science ouverte | 0,009 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».