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Objective: This study was performed in order to compare the lexicosyntactic readability, and the information density in the informed consent forms used in biomedical research, in comparison with standard scientific texts dedicated to the general population. In addition, we studied whether there is a correlation between information readability and density.
Methods: Fifteen informed consent forms, 6 articles from "Sciences et Avenir" and 6 articles from "Sciences et Vie Junior" were analyzed. The lexicosyntactic readability was calculated using the Flesh score, and the information density using the number of information bits related to the number of words.
Results: The lexicosyntactic readability was lower in the informed consent forms (25, 17-32) compared with "Sciences et Avenir" (32, 29-38), but even higher in "Sciences et Vie Junior" (42, 38-57). Conversely, the information density was similar in "Sciences et Vie Junior" (0.24, [0.21-0.27]) and the informed consent forms (0.24, [0.22-0.26]), but higher in "Sciences et Avenir" (0.32, [0.26-0.38]).
Conclusion: Informed consent forms are less readable, but paradoxically less dense than scientific papers dedicated to the general population. There is no correlation between density and readability.
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http://dx.doi.org/10.2515/therapie:2007008 | DOI Listing |
BMJ Open
March 2025
Institute for Health, Health Care Policy and Aging Research, Rutgers Health, New Brunswick, New Jersey, USA.
Introduction: Some stressors, like the death of a partner, are common and rigorously studied, while others, such as those related to climate change or social media, are just emerging and in need of systematic research. The New Jersey Population Health Cohort (NJHealth) Study aims to characterise established and emerging stressors and delineate the pathways through which they influence health, especially among groups likely to experience chronic exposure to stressors including immigrants, people of colour, multigenerational families and low-income families.
Methods And Analysis: A prospective cohort, the NJHealth Study is recruiting 8000 NJ residents aged 14 and older using probabilistic and purposive methods to include members of multigenerational families, marginalised racial/ethnic and low-income populations, and recent immigrant groups.
Drugs Aging
March 2025
Experimental Clinical Abdominal Oncology Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Via Mariano Semmola, 53, 80131, Naples, Italy.
Background: Phase II trials and subgroup analyses of clinical studies suggest that bevacizumab plus an oxaliplatin-based chemotherapy doublet is effective and tolerable in fit older patients with metastatic colorectal cancer (mCRC).
Objective: To evaluate the influence of age on the incidence of side effects and efficacy of this combination in patients with mCRC randomized in the prospective phase III OBELICS study.
Methods: In total, 230 patients with Eastern Cooperative Oncology Group (ECOG) performance status (PS) 0 out of 1 were retrieved on the basis of age (190 < 70 years and 40 ≥ 70 years).
J Neurol
March 2025
Copenhagen Neuromuscular Center, Department of Neurology, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Background: Spinal muscular atrophy (SMA) is a motor neuron disease with loss of musculature, which is replaced by fat. Previous magnetic resonance imaging (MRI) studies have focused on imaging muscles either in lower or upper extremities, but whole-body MRI can provide additional information on the involvement pattern. This study examined whole-body muscle fat replacement and the relationship between muscle structure, function, and bulbar symptoms.
View Article and Find Full Text PDFHepatol Int
March 2025
Department of Health Technology and Informatics, Hong Kong Polytechnic University, 11 Yuk Choi Road, Hong Kong SAR, China.
Purpose: Existing prognostic staging systems depend on expensive manual extraction by pathologists, potentially overlooking latent patterns critical for prognosis, or use black-box deep learning models, limiting clinical acceptance. This study introduces a novel deep learning-assisted paradigm that complements existing approaches by generating interpretable, multi-view risk scores to stratify prognostic risk in hepatocellular carcinoma (HCC) patients.
Methods: 510 HCC patients were enrolled in an internal dataset (SYSUCC) as training and validation cohorts to develop the Hybrid Deep Score (HDS).
Sports Med
March 2025
Department of Nutritional Sciences, School of Life Course and Population Sciences, King's College London, 150 Stamford Street, London, SE1 9NH, UK.
Background: An increasing number of female athletes are navigating an athletic career alongside pregnancy. Limited qualitative research has investigated the experiences of elite athletes in the United Kingdom (UK). This study aimed to explore the experiences of elite athletes in the UK as they navigated pregnancy, employing a socio-ecological framework to inform future research and policy recommendations on sport participation during pregnancy.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!