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At least 1,153 records · Page 64Linked to original sources
PubMed2003

Attitudes towards science and alternative medicine of medical, economics and business, and electrical engineering students in Split, Croatia.

AIM: To assess attitudes of students at the Split University Schools of Medicine, Economics and Business, and Electrical Engineering towards science and alternative medicine. METHODS: There were 275 respondents surveyed for their opinion on science and different aspects of alternative medicine. The respondents were grouped into three major groups: medical students (83 or 30%), economics and business students (95 or 35%), and electrical engineering students (97 or 35%). Each group was composed of two subgroups: first and final year students. We used a specially designed questionnaire composed of four parts to collect students' demographic data and investigate their scientific experience and attitudes towards science and alternative medicine. ANOVA was used to test the differences among the three major groups of students and between first and final year students within each group. RESULTS: There was no significant difference among the first year students at three different schools in their scores on attitude towards science (ANOVA; F=0.001, p=0.99) and the attitude towards alternative medicine (F=2.61, p=0.08). However, there was a significant difference among the final year students at the three schools, with medical students being the most positive in their score on the attitude towards science (F=7.30, p=0.001) and least positive in their score on the attitude towards alternative medicine (F=30.7, p<0.001). There was a negative correlation between attitudes towards science and alternative medicine (r=-0.37, p<0.001) for all schools. CONCLUSION: Medical students showed the most positive attitude towards science and least positive attitude towards alternative medicine, compared with the students of economics and business or electrical engineering. The curriculum of the Medical School, unlike the curricula of other two schools, could have an impact on students' attitudes towards science.

Attitude↗
PubMedDate not supplied

Optimal search strategy for clinical trials in the Latin American and Caribbean Health Science Literature Database (LILACS).

OBJECTIVE: To define and disseminate the optimal search strategy for clinical trials in the Latin American and Caribbean Health Science Literature (LILACS). This strategy was elaborated based on the optimal search strategy for MEDLINE recommended by Cochrane Collaboration for the identification of clinical trials in electronic databases. DESIGN: Technical information. SETTING: Clinical Trials and Meta-Analysis Unit, Federal University of São Paulo, in conjunction with the Brazilian Cochrane Center, São Paulo, Brazil. (http://www.epm.br/cochrane). DATA: LILACS/CD-ROM (Latin American and Caribbean Health Science Information Database), 27th edition, January 1997, edited by BIREME (Latin American and Caribbean Health Science Information Center). LILACS Indexes 670 journals in the region, with abstracts in English, Portuguese or Spanish; only 41 overlap in the MEDLINE-EMBASE. Of the 168,902 citations since 1982, 104,016 are in human trials, and 38,261 citations are potentiality clinical trials. Search strategy was elaborated combining headings with text word in three languages, adapting the interface of the LILACS. We will be working by locating clinical trials in LILACS for Cochrane Controlled Trials Database. This effort is being coordinated by the Brazilian Cochrane Center.

Caribbean Region↗
PubMed1998

Acute oral pain and mucositis in bone marrow transplant and leukemia patients: data from a pilot study.

The purposes of this prospective, repeated-measures descriptive pilot study were to describe patterns of acute oral pain and mucositis in patients receiving a bone marrow transplant or high-dose chemotherapy for leukemia, and to test procedures and instruments before initiating a larger intervention study. A nonprobability, purposive selection process was used to enroll 18 patients admitted to two acute care inpatient hospital units for bone marrow transplantation or leukemia therapy at a university health sciences center in the southeastern United States. Data were collected at baseline, then daily through patient interviews, oral examination, and chart review for at least 3 weeks or until discharge. Research variables were pain intensity, intolerable pain, verbal descriptors of pain, pain relief, and use of pain relief strategies (Pain Assessment Form), mucositis (erythema and ulceration) in eight anatomic locations of the oral cavity (Oral Mucositis Index), voice/talking (Oral Assessment Guide), and mood states (11-item Brief Profile of Mood States). Mild to moderate pain occurred in nearly 70% of patients and was described as "tender," "irritating," and "sore." Patients used pain medicines, mouth care, and mental and physical activities to relieve pain, and reported partial overall relief of pain. Mucositis was mild, with the tongue and buccal and labial mucosa most commonly affected with erythema and the buccal mucosa with ulceration. Voice/talking were only mildly impaired, and mood disturbance was mild. Patterns of pain, mucositis, and mood disturbance were consistent with each other and followed the trajectory described in previous research. Results suggest that nurses should continue to assess these symptoms vigorously and assist patients in selecting multiple management strategies. Research using repeated-measures designs in this acutely ill inpatient population is challenging and needs careful attention by researchers. The results have been used to improve the ongoing larger intervention study.

Acute Disease↗
PubMed2003

Fatigue associated with stroke and other neurologic conditions: Implications for stroke rehabilitation.

OBJECTIVES: To examine the general phenomenon of fatigue in stroke and other neurologic disorders and to review what is currently known about its occurrence, including its frequency, duration, severity, and associated factors, to develop a strategy for treatment. DATA SOURCES: Computerized databases (eg, PubMed, PsycInfo, Science Citation Index, Ovid EMBASE, Ovid MEDLINE) searched from inception to May 2002. Additional references were identified from bibliographies of pertinent articles and books. STUDY SELECTION: Over 1000 articles were identified as relevant to fatigue experienced by patients with neurologic or nonneurologic disorders. Articles on fatigue in stroke and neurologic disorders, mechanisms, and/or treatment were selected for inclusion. DATA EXTRACTION: Authors reviewed the articles and assessed the purpose, study design, and conclusions for validity and relevance to the topic of fatigue in stroke. DATA SYNTHESIS: Fatigue is a common complaint among patients with neurologic disorders including stroke. Few studies have documented the high frequency of fatigue in poststroke patients and its negative impact on daily functioning and quality of life. Little is known about associated factors or about therapeutic strategies that may be used to alleviate it. Examination of fatigue in other neurologic populations suggests common characteristics and associated factors that may be useful in the development of potential therapeutic strategies. Pharmacologic and nonpharmacologic therapeutic interventions, such as stimulants, amantadine, or sleep and stress-management education, have been used with some success in neurologic and other patient populations (eg, multiple sclerosis, human immunodeficiency virus, acquired immune deficiency syndrome, cancer), but evidence of effectiveness based on randomized clinical trials is rare. CONCLUSIONS: Poststroke fatigue is common. Therapeutic strategies have been used to treat fatigue in other patient populations, but it is unclear whether these will be beneficial to poststroke patients. Frequency, severity, duration, impact, predisposing factors, and causes of poststroke fatigue, as well as the development of effective treatment, require further research. Criteria for assessment of fatigue and potential therapeutic interventions are outlined as a first step for stimulating further research.

Activities of Daily Living↗
PubMedDate not supplied

[Choice and consequence: measurement level determines the statistical tool-box].

Various types of data are used in health and behavioural sciences. Some of the variables, such as blood variables, can be measured by standardised, calibrated methods while others are based on subjective judgements from an expert or from the patients. There is a strong link between the measurement process and the choice of statistical toolbox. The statistically important measurement levels are; categorical, ordinal, quantitative discrete and quantitative continuous data. Special attention should be paid to non-negative quantitative data, and to ordinal data which are very common in medicine. In this paper the properties of the measurement levels are given and their consequences on the choice of statistical methods for description and analysis.

Data Interpretation, Statistical↗
PubMedDate not supplied

The Statistical Package for the Social Sciences (SPSS) as an adjunct to pharmacokinetic analysis.

Computer techniques for numerical analysis are well known to pharmacokineticists. Powerful techniques for data file management have been developed by social scientists but have, in general, been ignored by pharmacokineticists because of their apparent lack of ability to interface with pharmacokinetic programs. Extensive use has been made of the Statistical Package for the Social Sciences (SPSS) for its data handling capabilities, but at the same time, techniques have been developed within SPSS to interface with pharmacokinetic programs of the users' choice and to carry out a variety of user-defined pharmacokinetic tasks within SPSS commands, apart from the expected variety of statistical tasks. Because it is based on a ubiquitous package, this methodology has all of the benefits of excellent documentation, interchangeability between different types and sizes of machines and true portability of techniques and data files. An example is given of the total management of a pharmacokinetic study previously reported in the literature by the authors.

Computers↗
PubMed2006

[Presence of the biomedical periodicals of Hungarian editions in international databases].

Presence of the biomedical periodicals of Hungarian editions in international databases. The majority of Hungarian scientific results in medical and related sciences are published in scientific periodicals of foreign edition with high impact factor (IF) values, and they appear in international scientific literature in foreign languages. In this study the authors dealt with the presence and registered citation in international databases of those periodicals only, which had been published in Hungary and/or in cooperation with foreign publishing companies. The examination went back to year 1980 and covered a 25-year long period. 110 periodicals were selected for more detailed examination. The authors analyzed the situation of the current periodicals in the three most often visited databases (MEDLINE, EMBASE, Web of Science), and discovered, that the biomedical scientific periodicals of Hungarian interests were not represented with reasonable emphasis in the relevant international bibliographic databases. Because of the great number of data the scientific literature of medicine and related sciences could not be represented in its entirety, this publication, however, might give useful information for the inquirers, and call the attention of the competent people.

Bibliometrics↗
PubMed1996

Critical social theory as a grounded process.

This article reflects upon the research process that uses critical social science as its basis. Some of the common criticisms of critical social science research are rebutted by following the research trail taken by the authors when undertaking their own projects. The similarities and differences of critical social science and the interpretative methodologies are outlined in the selection of study area, the relationship of the researcher and participants, ethical issues, and data collection and analysis. The writers conclude that critical social science research reports that are correctly carried out should be firmly grounded in each of these stages, thereby a foundation for nursing and midwifery practice.

Data Collection↗
PubMed2003

Practitioner perspectives on the role of science in environmental impact assessment.

A large body of literature addresses the role of science in environmental impact assessment (EIA) but less attention has been given to the views of practitioners themselves. In this research a survey of 31 EIA practitioners in Western Australia was undertaken to determine their perceptions of the quality and importance of science in EIA. The survey results are compared with previous theoretical, empirical, and survey studies of the role of science in EIA. Interview questions addressed the role of science in impact prediction, monitoring activities, mitigation and management, and EIA decision-making. It was clear from the interviews that many practitioners are satisfied with the quality of science currently used in EIA, but do not believe that it is given sufficient importance in the process. The quality and importance of science in the predecision stages of EIA was rated higher than in the postdecision stages. While science was perceived to provide the basis for baseline data collection, impact prediction, and mitigation design, it was seen to be less important during decision-making and ongoing project management. Science was seen to be just one input to decision-makers along with other factors such as sociopolitical and economic considerations. While time and budget constraints were seen to limit the scientific integrity of EIA activities, pressure from the public and regulatory authorities increased it. Improving the scientific component of EIA will require consideration of all these factors, not just the technical issues.

Attitude↗
PubMed2006

Neural networks for longitudinal studies in Alzheimer's disease.

OBJECTIVE: Alzheimer's disease affects a growing population of elderly people today. The predictions about the course of the disease is a key component of health care decision making for patients with Alzheimer's. The physician's prognosis and predicted trajectory of cognitive decline often form the basis of treatment and health care decisions taken by patients and their families. These predictions are difficult to make because of the high variability and non-linearity exhibited by individual patterns of cognitive decline. This paper presents a new method of predicting the course of a disease using longitudinal data collected through multiple clinic visits. Longitudinal databases are similar to temporal databases, with some important differences--data is collected at irregular time intervals that are patient specific and also a varying number of observations are made for each patient, depending upon the number of times the patient visited the clinic. We propose a new type of neural network called the mixed effects neural network (MENN) model that can incorporate this type of longitudinal information. MATERIAL AND METHODS: We have used longitudinal data on 704 subjects enrolled at the Layton aging and research center (LAARC) at Oregon Health and Science University. A back-propagation algorithm, modified for longitudinal data is used to obtain the weight parameters of the MENN. The modified back-propagation algorithm is further embedded in an iterative procedure that estimates the noise variance and the parameters that capture the longitudinal (temporal) correlation structure. RESULTS: We have compared the performance of the MENN with linear mixed effects models and standard neural networks (NN). MENN show better performance (misclassification rate = 0.13 and relative MSE = 0.35) as compared to standard NN (misclassification rate = 0.34 and relative MSE = 2.74) and linear mixed effects models (misclassification rate = 0.14 and relative MSE = 0.4). CONCLUSION: The results show that this method can be a useful tool for predicting non-linear disease trajectories and uncovering significant prognostic factors in longitudinal databases.

Aged↗
PubMed2002

Distributed structure-searchable toxicity (DSSTox) public database network: a proposal.

The ability to assess the potential genotoxicity, carcinogenicity, or other toxicity of pharmaceutical or industrial chemicals based on chemical structure information is a highly coveted and shared goal of varied academic, commercial, and government regulatory groups. These diverse interests often employ different approaches and have different criteria and use for toxicity assessments, but they share a need for unrestricted access to existing public toxicity data linked with chemical structure information. Currently, there exists no central repository of toxicity information, commercial or public, that adequately meets the data requirements for flexible analogue searching, Structure-Activity Relationship (SAR) model development, or building of chemical relational databases (CRD). The distributed structure-searchable toxicity (DSSTox) public database network is being proposed as a community-supported, web-based effort to address these shared needs of the SAR and toxicology communities. The DSSTox project has the following major elements: (1) to adopt and encourage the use of a common standard file format (structure data file (SDF)) for public toxicity databases that includes chemical structure, text and property information, and that can easily be imported into available CRD applications; (2) to implement a distributed source approach, managed by a DSSTox Central Website, that will enable decentralized, free public access to structure-toxicity data files, and that will effectively link knowledgeable toxicity data sources with potential users of these data from other disciplines (such as chemistry, modeling, and computer science); and (3) to engage public/commercial/academic/industry groups in contributing to and expanding this community-wide, public data sharing and distribution effort. The DSSTox project's overall aims are to effect the closer association of chemical structure information with existing toxicity data, and to promote and facilitate structure-based exploration of these data within a common chemistry-based framework that spans toxicological disciplines.

Carcinogens↗
PubMed2004

A preliminary time-of-flight neutron diffraction study of Streptomyces rubiginosus D-xylose isomerase.

The metalloenzyme D-xylose isomerase forms well ordered crystals that diffract X-rays to ultrahigh resolution (<1 A). However, structural analysis using X-ray diffraction data has as yet been unable to differentiate between several postulated mechanisms that describe the catalytic activity of this enzyme. Neutrons, with their greater scattering sensitivity to H atoms, could help to resolve this by determining the protonation states within the active site of the enzyme. As the first step in the process of investigating the mechanism of action of D-xylose isomerase from Streptomyces rubiginosus using neutron diffraction, data to better than 2.0 A were measured from the unliganded protein at the Los Alamos Neutron Science Center Protein Crystallography Station. Measurement of these neutron diffraction data represents several milestones: this is one of the largest biological molecules (a tetramer, MW approximately 160 000 Da, with unit-cell lengths around 100 A) ever studied at high resolution using neutron diffraction. It is also one of the first proteins to be studied using time-of-flight techniques. The success of the initial diffraction experiments with D-xylose isomerase demonstrate the power of spallation neutrons for protein crystallography and should provide further impetus for neutron diffraction studies of biologically active and significant proteins. Further data will be measured from the enzyme with bound substrates and inhibitors in order to provide the specific information needed to clarify the catalytic mechanism of this enzyme.

Aldose-Ketose Isomerases↗
PubMed2006

A profile of sports science research (1983-2003).

A majority of sports science research is undertaken in universities and dedicated research centres, such as institutes of sport. Reviews of literature analysing and categorising research have been carried out, but categories identified have been limited to research design and data gathering techniques. Hence there is a need to include categories such as discipline, subjects and targeted sport. A study was conducted using document analysis method to gather data that described and categorised performance-based sports science research projects in Australian universities and institutes of sport. An instrument was designed that could be used by researchers to analyse and profile research in the area of sports science. The instrument contained six categories: targeted sport, primary study area, participant type, research setting, methodology and data gathering techniques. Research documents analysed consisted of 725 original unpublished research reports/theses. Results showed that over two-thirds of research projects were targeted to specific sports and, of this group, nearly half involved four sports: cycling, rowing, athletics and swimming. Overall, physiology was the most researched scientific discipline. The most frequently used research method was experimental design, and the most frequently used data gathering technique was physiological (performance) measures. Two-thirds of research was conducted in laboratory settings, and nearly half of the research was conducted with elite or sub-elite athletes as participants/subjects. The findings of this study provide an overall synopsis of performance-based sports science research conducted in Australia over the last 20 years, and should be of considerable importance in the ongoing development of sports science research policy in Australia.

Australia↗
PubMedDate not supplied

Data analysis issues for protocols with overlapping enrollment.

Many persons with HIV require and take several medications. The efficacy and safety of many of these medications are uncertain. Usually limited data on drug interactions are available. Thus simultaneous and sequential enrolment of patients into multiple studies is desired for reasons of science and efficiency. This paper discusses the analysis of data arising from coenrolment in multiple studies sponsored by the Community Programs for Clinical Research on AIDS (CPCRA). Factorial designs and those in which patients are sequentially instead of simultaneously randomized are compared. Approaches to data analysis, based on intention-to-treat, for individual and pairs of trials are described. An antiretroviral trial and a trial for prophylaxis of Pneumocystis carinii pneumonia (PCP) are used for illustration. We conclude that such analyses may yield useful information on drug interactions and that a more vigorous coenrolment policy should be pursued in AIDS research.

AIDS-Related Opportunistic Infections↗
PubMed2000

The meaning of malingering data: further applications of Bayes' theorem.

A previous Behavioral Sciences and the Law article (Mossman & Hart, 1996) asserted that information from malingering tests is best conceptualized using Bayes' theorem, and that courts therefore deserve Bayesian interpretations when mental health professionals present evidence about malingering. Mossman and Hart gave several examples of estimated Bayesian posterior probabilities, but they did not systematically address how one constructs confidence intervals for these estimates. This article explains how the usually imperfect nature of humanly created diagnostic tests mandates Bayesian interpretations of test results, and describes methods for generating confidence intervals for posterior probabilities. Sample calculations show that Bayesian reasoning is quite feasible and would not require investigators to expend unusual efforts when constructing and validating malingering instruments. Bayesian interpretations most accurately capture what malingering tests do: provide information that alters one's beliefs about the likelihood of malingering.

Attitude to Health↗
PubMed2001

Genetic Epidemiology--science and ethics on familial cancers.

Genetic epidemiology provides data on cancer etiology, familial risks and genotype-specific risks. These data are useful for clinical counselling and gene identification. The studies require large, unbiased sample sizes and collaboration between research teams, nationally and internationally. A recent study on Nordic twins suggests that in colorectal, breast and prostate cancer, the inherited component ranges between 27 and 42%, far in excess of the known susceptibility genes. The data from the Swedish Family-Cancer Database, particularly on second cancers, also suggest that a main genetic component in cancer is polygenic. The results have implications for design of genetic studies and for clinical counselling.

Case-Control Studies↗
PubMed2026

KG-Microbe: Building modular and scalable knowledge graphs for microbiome and microbial sciences.

BACKGROUND: The integration of many disparate forms of data is essential for understanding the microbial world and its interaction with the environment and human health. Doing so is particularly challenging in the context of microbe-host and microbe-microbe interactions that contribute to health or environmental outcomes. There are thousands of relevant microbial species, and millions of interactions among those microbes and with their environment or host. Integrated information (e.g., about host and microbial physiology, genetics, and metabolism) facilitates deeper understanding of complex mechanisms and helps interpret correlative results. RESULTS: The KG-Microbe construction framework is a novel approach to harmonizing bacterial and archaeal data in the form of a findable, accessible, interoperable, reusable and AI-ready knowledge graph (KG). Starting from a core KG with organismal traits, environments, and growth preferences and the integration of established ontologies, the framework generates a hierarchy of related KGs targeting specific use cases, including the human microbiome in the context of disease, or environmental microbiomes. The framework supports customizable taxa subsets representing communities or clades of interest. Evaluations of the KG-Microbe KGs through a series of competency questions demonstrate the accuracy and effectiveness of the data harmonization, and the utility of the resulting KGs in studies of inflammatory bowel disease and Parkinson's disease. Finally, the predictive and environmental capabilities of the KGs are demonstrated by predicting growth preferences using graph features. CONCLUSIONS: The KG-Microbe framework unifies microbial contexts in a single resource to support integrative analyses across biomedical, host, and environmental domains. KG-Microbe is a flexible, modular enabling technology for humans and machine learning methods to uncover candidate mechanistic explanations of microbial associations.

Microbiota↗
PubMed2003

A review of cochlear implantation in mitochondrial sensorineural hearing loss.

OBJECTIVE: Mitochondrial sensorineural hearing loss (SNHL) may be nonsyndromic (occurring in isolation), associated with the A1555G mutation in the MTRNR1 gene. Mitochondrial SNHL may also be syndromic, associated with the A3243G point mutation in the MTTL1 gene. In syndromic cases-mitochondrial encephalopathy, lactic acidosis, and strokelike episodes (MELAS), maternally inherited diabetes and deafness, Kearns-Sayre syndrome, and chronic progressive external ophthalmoplegia-the SNHL compounds already existing disabilities. The genetic basis for mitochondrial SNHL and postulated sites of pathologic changes are discussed. DATA SOURCES: Sources used were relevant clinical and basic science publications. STUDY SELECTION: A search of the entire databases of Medline and Web of Science, using various subject headings and free-text terms, was used to identify patients with mitochondrial disease having cochlear implants. DATA EXTRACTION: The data from publications were critically reviewed and tabulated to assess implantation outcomes. DATA SYNTHESIS: The data were not amenable to formal meta-analysis or valid data summarization, other than descriptive statistics. CONCLUSIONS: There is an increasing awareness of the prevalence of mitochondrial SNHL and its progressive nature. High-risk candidates warrant genetic testing and family screening. Correlating the data for mitochondrial SNHL as a treatable entity is important, and the authors present an overview of these patients successfully rehabilitated by cochlear implantation.

Adult↗