Concern for the validity of short-term dietary crossover trials.

Nat Med

Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Published: August 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41591-025-03909-yDOI Listing

Publication Analysis

Top Keywords

concern validity
4
validity short-term
4
short-term dietary
4
dietary crossover
4
crossover trials
4
concern
1
short-term
1
dietary
1
crossover
1
trials
1

Similar Publications

The unregulated use and improper disposal of active pharmaceutical ingredients (APIs), particularly phenylbutazone (PBZ), are contaminating water resources and posing serious risks to the food chain. PBZ is a nonsteroidal anti-inflammatory drug (NSAID) commonly used for treating pain and fever in animals, and its persistence in the environment due to inadequate waste management has become a cause of concern. To address this, we report the fabrication of benzimidazole-based self-assembled nanomicelles (R2 NMs) for selective detection and removal of PBZ.

View Article and Find Full Text PDF

Prognostic models for radiation-induced complications after radiotherapy in head and neck cancer patients.

Cochrane Database Syst Rev

September 2025

Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.

Background: Radiotherapy is the mainstay of treatment for head and neck cancer (HNC) but may induce various side effects on surrounding normal tissues. To reach an optimal balance between tumour control and toxicity prevention, normal tissue complication probability (NTCP) models have been reported to predict the risk of radiation-induced side effects in patients with HNC. However, the quality of study design, conduct, and analysis (i.

View Article and Find Full Text PDF

The morphological patterns of lung adenocarcinoma (LUAD) are recognized for their prognostic significance, with ongoing debate regarding the optimal grading strategy. This study aimed to develop a clinical-grade, fully quantitative, and automated tool for pattern classification/quantification (PATQUANT), to evaluate existing grading strategies, and determine the optimal grading system. PATQUANT was trained on a high-quality dataset, manually annotated by expert pathologists.

View Article and Find Full Text PDF

Hybrid two-stage CNN for detection and staging of periodontitis on panoramic radiographs.

J Oral Biol Craniofac Res

August 2025

Neura Integrasi Solusi, Jl. Kebun Raya No. 73, Rejowinangun, Kotagede, Yogyakarta, 55171, Indonesia.

Background: Periodontal disease is an inflammatory condition causing chronic damage to the tooth-supporting connective tissues, leading to tooth loss in adults. Diagnosing periodontitis requires clinical and radiographic examinations, with panoramic radiographs crucial in identifying and assessing its severity and staging. Convolutional Neural Networks (CNNs), a deep learning method for visual data analysis, and Dense Convolutional Networks (DenseNet), which utilize direct feed-forward connections between layers, enable high-performance computer vision tasks with reduced computational demands.

View Article and Find Full Text PDF

This article proposes minimum requirements for reporting efficacy in treatment studies of compulsive sexual behavior (CSB). CSB disorder (CSBD) is a condition whose diagnostic criteria were only recently defined by the World Health Organization. Multiple primary and secondary outcomes have been used in treatment trials of CSB, and possible neuropsychological measures have been considered.

View Article and Find Full Text PDF