Journal of evaluation in clinical practice
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Responses to experimental pain have suggested central and peripheral sensitisation in adult patients with sickle cell disease (SCD). Recent studies have proposed an algometry-derived dynamic measure of pain sensitisation, slowly repeated evoked pain (SREP), which is useful in the discrimination of painful conditions related to central sensitisation. Pain and fatigue are two symptoms that affect the general functioning of patients with SCD most significantly, however, research about experimental dynamic pain measures and their relation to the main symptoms of SCD (pain and fatigue) is still scarce. ⋯ Pain threshold and tolerance did not discriminate between patients and healthy individuals, but were useful for predicting fatigue severity in SCD. The SREP protocol provides a useful dynamic measure of pain for the discrimination and detection of enhanced pain sensitisation in patients with SCD, which could contribute to more personalised pain evaluations and treatment for these patients.
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Peter Drucker pointed out an important distinction between 'doing things right' and 'doing the right thing', which recognised that all problems are embedded in a context and thus can only be understood within their unique contextual setting. Contemporary research practices in clinical medicine often regards contextual factors as potential confounders that will bias effect estimates and thus must be avoided. However rigorous, research devoid of context ultimately deprives users of understanding of the support factors that make research transferable to policy decisions or managing care of individual patients-it stands in the way of 'doing the right thing' in 'real life' settings. ⋯ We discuss the need for researchers to a-priori consider the context of their research question as well as the structural relationships of the variables under investigation, which in turn provides the basis for choosing the most appropriate research design. We have a moral imperative to first 'do the right thing'-ask questions that address the contextual needs of our patients, and then to 'do it right'-choose the best research method to answer this contextually framed need. Only then will our research efforts have meaningful and lasting impacts on patient care.
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This research aims to develop an effective algorithm for diagnosing COVID-19 in chest X-rays using the transfer learning method and support vector machines. ⋯ This study confirms the importance of applying machine learning methods in medical applications and opens new perspectives for early diagnosis of infectious diseases. The practical application of the obtained results can enhance the efficiency of diagnosis and control the spread of COVID-19, as well as contribute to the development of innovative methods in medical practice.
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College students represent a unique demographic group as they are adults no longer under direct parental care, yet often lack the institutional health support available to more established members of society, which can lead to their health needs being neglected, despite their substantial contributions to blood donation. The objective of this study is to shed light on the health status of college students in Hefei, with a specific focus on transfusion-transmitted diseases. Based on the detailed data analysis, the implementation of some constructive strategies will play a good warning role in improving clinical blood safety and promoting better health monitoring of this population in the future. ⋯ The overall group had prevalence rates of 0.44% for hepatitis B, 0.15% for hepatitis C, 0.02% for HIV, and 0.42% for Treponema pallidum. When focusing on the student cohort, the prevalence rates were 0.17% for hepatitis B, 0.04% for hepatitis C, 0.02% for HIV, and 0.23% for Treponema pallidum. Transmissibility through blood transfusion All donors (%) Students (%) Non-students (%) Any infection 1.23 0.48 1.51 HbsAg 0.44 0.17 0.54 Anti-HCV 0.15 0.04 0.19 HIV Ag/Ab 0.02 0.02 0.02 Anti-TP 0.42 0.23 0.49 Individuals with two or more infectious agents occur more than once in all categories. While it leads to numerical over-representation, such overlap is minimal and statistically insignificant.
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The increasing number of immigrants in the United States (U.S.) has resulted in more patients with limited English proficiency (LEP). LEP contributes to patient-provider language discordance, which may impact oncologic health outcomes. ⋯ Studies assessing the impact of LEP and EP on the health outcomes of cancer patients are sparse and inconsistent in the measurements of outcomes and data reporting. The inconclusiveness of our study indicates that further standardized research is needed to assess the impact of LEP on the outcomes of cancer patients in the United States.