Research regulations around the world do not impose any limits on the risks to which consenting adults may be exposed. Nonetheless, most review committees regard some risks as too high, even for consenting adults. To justify this practice, commentators have appealed to a range of considerations which are external to informed consent and the risks themselves. Most prominently, some argue that exposing consenting adults to very high risks has the potential to undermine public trust in research. This justification assumes that it is not the magnitude of the risks themselves which raises concern, but the way in which the public might respond to them. This justification thus depends on the possibility that the public will find out about the risks and respond to them in the specified way. Like the other proposed external justifications, it thereby fails to offer a reason to think that exposing consenting adults to very high risks is problematic in itself. In the present paper, we describe and endorse a different justification. Rather than appealing to external factors, we argue that limits on risks for consenting adults trace to internal limits on informed consent, to limits on the things consent can and cannot make ethically permissible. In doing so, we aim to provide a firmer conceptual basis for the view that some research risks are unacceptably high, no matter how the research is conducted.
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http://dx.doi.org/10.1007/s10677-024-10441-4 | DOI Listing |
Sci Rep
December 2024
Faculty of Education, Centre for Wellbeing Science, The University of Melbourne, Level 2, 100 Leicester Street, Carlton, VIC, 3010, Australia.
The Brief Inventory of Thriving (BIT) provides a holistic measure of well-being, but has only been validated for adults, and does not have a Hindi version. The present study investigated the unidimensional structure, internal consistency, convergent/discriminant, and criterion validity of both the original English version of the BIT (BIT-E) and its Hindi-translated version (BIT-H) among adolescents in India. Further, we tested measurement invariance across these two language versions, gender, and academic disciplines.
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December 2024
Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Warfarin is the most widely used oral anticoagulant in clinical practice. The cytochrome P450 2C9 (CYP2C9), vitamin K epoxide reductase complex 1 (VKORC1), and cytochrome P450 4F2 (CYP4F2) genotypes are associated with warfarin dose requirements in China. Accurate genotyping is vital for obtaining reliable genotype-guided warfarin dosing information.
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December 2024
Department of Breast Surgery, Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou District, Dalian, China.
Early prediction of patient responses to neoadjuvant chemotherapy (NACT) is essential for the precision treatment of early breast cancer (EBC). Therefore, this study aims to noninvasively and early predict pathological complete response (pCR). We used dynamic ultrasound (US) imaging changes acquired during NACT, along with clinicopathological features, to create a nomogram and construct a machine learning model.
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
Department of Forensic Medicine, Graduate School of Medicine, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan.
The position of the mental foramen is reported to change with age. This study aimed to examine age-related changes in the position of the mental foramen in men and women. Among 200 cases (age 21-100 years; 400 foramina) that underwent postmortem computed tomography, 109 (age 21-93 years; 218 foramina) with mandibular first and second premolars were examined using image analysis software to classify the position of the mental foramen according to Fishel's classification, and the χ² test was performed.
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