Background: Even though considered as studies with high methodological power, many RCTs in paediatric dentistry do not have essential quality items in their design, development, and report, making results' reliability questionable, replication challenging to conduct, wasting time, money, and efforts, and even exposing the participants to research for no benefit.

Aim: We addressed the main topics related to transparency in clinical research, with an emphasis in paediatric dentistry.

Design: We searched for all controlled clinical trials published from January 2019 up to July 2020 in the three paediatric dentistry journals with high journal Impact Factor, indexed on Medline. These papers were assessed for transparency according to Open Science practices and regarding reporting accuracy using some items required by CONSORT.

Results: 53.6% of the studies declared registration, 75% had sample size calculation, 98.2% reported randomisation, and from those, 65.4% explained the randomisation method. Besides that, no study shared their data, and 6.8% were published in open access format.

Conclusions: Unfortunately, a large proportion of RCTs in paediatric dental research show a lack of transparency and reproducibility.

Download full-text PDF

Source
http://dx.doi.org/10.1111/ipd.12769DOI Listing

Publication Analysis

Top Keywords

transparency clinical
8
clinical trials
8
paediatric dental
8
rcts paediatric
8
paediatric dentistry
8
paediatric
5
transparency
4
trials adding
4
adding paediatric
4
dental background
4

Similar Publications

The rising incidence of pancreatic diseases, including acute and chronic pancreatitis and various pancreatic neoplasms, poses a significant global health challenge. Pancreatic ductal adenocarcinoma (PDAC) for example, has a high mortality rate due to late-stage diagnosis and its inaccessible location. Advances in imaging technologies, though improving diagnostic capabilities, still necessitate biopsy confirmation.

View Article and Find Full Text PDF

Development and validation of a prognostic nomogram for predicting of patients with acute sedative-hypnotic overdose admitted to the intensive care unit.

Sci Rep

January 2025

Emergency Medicine Laboratory and the Department of Emergency, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China.

To develop and evaluate a predictive model for intensive care unit (ICU) admission among patients with acute sedative-hypnotic overdose. We conducted a retrospective analysis of patients admitted to the emergency department of West China Hospital, Sichuan University, between October 11, 2009, and December 31, 2023. Patients were divided into ICU and non-ICU groups based on admission criteria including the need for blood purification therapy, organ support therapy (ventilatory support, vasoactive drugs, renal replacement therapy, artificial liver), or post-cardiopulmonary resuscitation.

View Article and Find Full Text PDF

Describing the landscape of nutrition- and diet-related randomized controlled trials: meta-research study of protocols published between 2012 and 2022.

Am J Clin Nutr

January 2025

UK EQUATOR Centre, Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK. Electronic address:

Background: Publishing protocols promotes transparency and reproducibility. The scope and methods of protocols for nutrition- and diet-related randomized controlled trials (RCTs) have not been investigated yet.

Objective: Map the landscape of nutrition- and diet-related interventions research.

View Article and Find Full Text PDF

Severe eating disorders (EDs) are a common and increasing threat to normal adolescent health and development. Major clinical challenges include longstanding malnutrition potentially complicated by emergent electrolyte disorders and cardiac dysfunction. The care of adolescents with severe EDs can lead to challenging decisions regarding the initiation of involuntary feeding with restraints.

View Article and Find Full Text PDF

Responsible Design, Integration, and Use of Generative AI in Mental Health.

JMIR Ment Health

January 2025

The Samueli Initiative for Responsible AI in Medicine, Tel Aviv University, Tel Aviv, Israel.

Generative artificial intelligence (GenAI) shows potential for personalized care, psychoeducation, and even crisis prediction in mental health, yet responsible use requires ethical consideration and deliberation and perhaps even governance. This is the first published theme issue focused on responsible GenAI in mental health. It brings together evidence and insights on GenAI's capabilities, such as emotion recognition, therapy-session summarization, and risk assessment, while highlighting the sensitive nature of mental health data and the need for rigorous validation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!