[Study of a system of data analysis in dental science. II. Program for dimensional measurement. I. Program for vertical dimension analysis (AGUD-01) (author's transl)].
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Cephalometry↗
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Cohort studies in health sciences librarianship.
QUESTION: What are the key characteristics of the cohort study design and its varied applications, and how can this research design be utilized in health sciences librarianship? DATA SOURCES: The health, social, behavioral, biological, library, earth, and management sciences literatures were used as sources. STUDY SELECTION: All fields except for health sciences librarianship were scanned topically for either well-known or diverse applications of the cohort design. The health sciences library literature available to the author principally for the years 1990 to 2000, supplemented by papers or posters presented at annual meetings of the Medical Library Association. DATA EXTRACTION: A narrative review for the health, social, behavioral, biological, earth, and management sciences literatures and a systematic review for health sciences librarianship literature for the years 1990 to 2000, with three exceptions, were conducted. The author conducted principally a manual search of the health sciences librarianship literature for the years 1990 to 2000 as part of this systematic review. MAIN RESULTS: The cohort design has been applied to answer a wide array of theoretical or practical research questions in the health, social, behavioral, biological, and management sciences. Health sciences librarianship also offers several major applications of the cohort design. CONCLUSION: The cohort design has great potential for answering research questions in the field of health sciences librarianship, particularly evidence-based librarianship (EBL), although that potential has not been fully explored.
Cohort Studies↗
Viewing genome data as objects for application development.
Genomics is becoming a data-intensive science, and an increasing number of laboratories are generating data which swamps storage in traditional paper-and-ink notebooks. Capturing the data flow requires large systems with multiple applications manipulating the same or similar data. Large systems often have conflicting requirements for data representation. Consistency across applications is a prime consideration, and appropriate data representation is an important issue in developing practical systems for molecular biologists. Graphs are a natural representation for describing genome data, while objects are good for modeling the behavior necessary for laboratory applications. We present a method for translating graph descriptions of genome data into objects using objects as views on graphs. Graph representations describe genome concepts while objects capture individual views for application development insuring consistency across genome applications.
Chromosome Mapping↗
The determination of best values of the fundamental physical constants.
The purpose of this paper is to provide an overview of how a self-consistent set of 'best values' of the fundamental physical constants for use worldwide by all of science and technology is obtained from all of the relevant data available at a given point in time. The basis of the discussion is the 2002 Committee on Data for Science and Technology (CODATA) least-squares adjustment of the values of the constants, the most recent such study available, which was carried out under the auspices of the CODATA Task group on fundamental constants. A detailed description of the 2002 CODATA adjustment, which took into account all relevant data available by 31 December 2002, plus selected data that became available by Fall of 2003, may be found in the January 2005 issue of the Reviews of Modern Physics. Although the latter publication includes the full set of CODATA recommended values of the fundamental constants resulting from the 2002 adjustment, the set is also available electronically at http://physics.nist.gov/constants.
International System of Units↗
Drawing conclusions from imperfect data--isn't that what science does all the time?
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Data Interpretation, Statistical↗
Beyond the data deluge: data integration and bio-ontologies.
Biomedical research is increasingly a data-driven science. New technologies support the generation of genome-scale data sets of sequences, sequence variants, transcripts, and proteins; genetic elements underpinning understanding of biomedicine and disease. Information systems designed to manage these data, and the functional insights (biological knowledge) that come from the analysis of these data, are critical to mining large, heterogeneous data sets for new biologically relevant patterns, to generating hypotheses for experimental validation, and ultimately, to building models of how biological systems work. Bio-ontologies have an essential role in supporting two key approaches to effective interpretation of genome-scale data sets: data integration and comparative genomics. To date, bio-ontologies such as the Gene Ontology have been used primarily in community genome databases as structured controlled terminologies and as data aggregators. In this paper we use the Gene Ontology (GO) and the Mouse Genome Informatics (MGI) database as use cases to illustrate the impact of bio-ontologies on data integration and for comparative genomics. Despite the profound impact ontologies are having on the digital categorization of biological knowledge, new biomedical research and the expanding and changing nature of biological information have limited the development of bio-ontologies to support dynamic reasoning for knowledge discovery.
Animals↗
Negative perceptions of dental stimuli and their effects on dental fear.
PURPOSE: About 40% of modern western society are apprehensive about dental visits, 20% are highly fearful, and 5% avoid oral health care completely. This study examined how negative perceptions of dental stimuli contribute to dental fear. METHODS: One-hundred-and-seven people recruited from a dental school clinic and a private practice, participated in the study. Each participant completed measures of general dental anxiety (DAS-R) and negative perception of specific dental stimuli (DFAS). Upon completion of the scales, data were coded and analyzed using Statistical Package for Social Sciences. RESULTS: Data analyses revealed a significant correlation between negative perceptions of common dental stimuli and dental fear (p < .05). Getting an injection, having dental radiographs taken, use of scalers and curets, and the sight of the needle were identified as the dental stimuli evoking the highest negative perceptions by the sample. CONCLUSION: Because exposure to certain stimuli triggers dental fear, it is important to identify anxious oral health care patients, and oral health care providers must be sensitive to their fear. Providing a positive experience will help to lower negative perceptions of oral health care. If particular stimuli produce anxiety and fear, then ways to limit exposure to them is necessary.
Adult↗
The hard sciences and the soft: some sociological observations.
The paper focuses on the implications of the terms "hard" and "soft" as they are used to characterize different branches of science; this is one approach to understanding some of the relations between knowledge and social organization. Given the importance to scientists of having their work evaluated accurately, it can be seen that the more rigorously a body of knowledge is organized, the more readily professional recognition can be appropriately assigned. The degree of rigor seems directly related to the extent to which mathematics is used in a science, and it is this that makes a science "hard." Data are presented in support of the hypothesis that "harder" sciences are characterized by more impersonality in their members' relationships where impersonality is indexed by the frequency that only first initials are used in footnotes. Finally, some parallels between the economic and the scientific sectors of society are suggested, viewing money and professional recognition as "generalized media" and noting certain analogies in science to inflation and deflation in the economic system. Implications for the obsolescence of parts of the literature of science are discussed, and the relevance of this analysis to Kuhn's work on scientific revolutions is briefly noted.
Science↗
STATISTICS, SCIENCE, AND SENSE. 2. SUMMARIZATION OF DATA.
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Humans↗
Fetal genital effects of first-trimester sex hormone exposure: a meta-analysis.
OBJECTIVE: To determine if first-trimester exposure to sex hormones, and oral contraceptives (OCs) specifically, is associated with an increased risk of external fetal genital malformations. DATA SOURCES: MEDLINE and Science Citation Index data bases were searched for the years 1966-1992 for relevant English-language articles on first-trimester sex-hormone exposure and fetal genital changes. METHODS OF STUDY SELECTION: One hundred eighty-six articles were identified initially. Inclusion criteria were cohort or case-control studies, first-trimester sex-hormone exposure, and live infants or full-term stillborn infants with external genital malformations. Exclusion criteria were diethylstilbestrol exposure, spontaneous abortions, and teratogen exposure. DATA EXTRACTION AND SYNTHESIS: The Methods section of each study was reviewed independently by two authors and two outside reviewers, using the above criteria. Fourteen studies, seven cohort and seven case-control, involving 65,567 women, met the criteria for meta-analysis. Extracted data were entered into 2 x 2 tables. The overall summary odds ratio (OR) was 1.09 (95% confidence interval [CI] 0.90-1.32); subanalysis of OC exposure identified an OR of 0.98 (95% CI 0.24-3.94). CONCLUSION: There was no association between first-trimester exposure to sex hormones generally (or to OCs specifically) and external genital malformations. Thus, women exposed to sex hormones after conception may be assured there is no increased risk of fetal sexual malformation.
Case-Control Studies↗
[New knowledge derived from measurement of gene expression with the DNA microarray method].
BACKGROUND: The cDNA microarray method offers the first possibility of obtaining a global understanding of biological processes in living organisms, by simultaneous read-outs of tens of thousands of mRNAs. Initial experiments suggest that genes with similar function have similar expression patterns. MATERIAL AND METHODS: Understanding this level of biological complexity will, however, require completely new approaches to data analysis. Computer science methods, such as data mining and knowledge discovery, can synthesize interpretable if-then rules that model the relation between gene expressions and functions and use the rules to classify unknown genes. The huge body of existing biological and medical knowledge makes it necessary to develop methods for extracting knowledge from such repositories. RESULTS: Models of relations between gene expressions and gene functions in a data set from a publicly available source are synthesized semiautomatically and applied to classify unknown genes. Encouraging results have been achieved. The method is applied in the analysis of data from our microarray system which has recently become operational. INTERPRETATION: The principles are of general importance and will be used to evaluate a wide range of complex data sets like decision support in clinical medicine, for situations in which physicians need to handle a large volume of data for each patient.
Computational Biology↗
[Data protection and data access (II): Physician's responsibility for confidentiality, federal statistics law and data collection by authorization with reference to implementing occupational medicine epidemiologic studies in Germany].
The additional legal rulings governing access to personal data for epidemiological research are the medical professional secrecy regulators and the federal statistics law. These permit access to personal data only if the individual has given his or her informed constant. Beyond this, both laws contain clauses governing the transfer of anonymous data for research and science. Thus anonymized data may be transferred on request to authorized persons or institutions, such as a physician or the regional statistics office. Finally, a custodian model is presented which provides further possibilities for research in occupational medicine and epidemiology within this very restrictive legal framework.
Cause of Death↗
Continuous infusion of loop diuretics in the critically ill: a review of the literature.
OBJECTIVES: a) To present the pharmacodynamic concepts behind the administration of loop diuretics via continuous infusion; b) to review the clinical trials and reports in critically ill patients that have described this method of drug delivery; and c) to discuss the data. DATA SOURCES: Review of MEDLINE and International Pharmaceutical Abstracts from 1966 to the present. STUDY SELECTION: Study design was not a factor in selecting literature for this review. All studies, case reports, and case series describing infusion of a loop diuretic are included. DATA EXTRACTION: Cited literature was found in peer-reviewed clinical or basic science journals. DATA SYNTHESIS: There is a pharmacodynamic basis for the use of a controlled infusion of the loop diuretics in critically ill patients requiring extensive diuresis. Animal and human volunteer studies have demonstrated a clear improvement in efficiency of diuresis by controlled infusion Clinical studies in critically ill patients have demonstrated an improved diuretic response with a controlled infusion. Adverse effects appear to be minimal, and the amount of drug required for effect is less than the required amount for bolus administration. CONCLUSION: Administration of loop diuretics by continuous intravenous infusion may improve diuresis in critically ill patients who require prompt, controllable diuresis, or who demonstrate "diuretic tolerance" to conventional administration regimens. Despite few, well-designed studies using this method of administration in clinical practice, pharmacodynamic concepts support continuous infusion over bolus administration, including decreased dosage requirements, improved diuretic response and few adverse effects.
Animals↗
[Biostatistics contribution to the development of biomedical sciences].
Biostatistics can be defined as the science of data reduction methods, variability and populations, in the field of medicine and biomedical science. Its origins trace back to the work of Quetelet (1796-1874) and more recently of Fisher (1890-1962). Following the technological advances in biomedical sciences during the 20th century, modern biostatistics is facing the formidable challenge of translating information into knowledge. Biostatistics has significantly contributed to the development of biomedical sciences in many areas: laboratory medicine (reference values and quality control), randomized clinical trials (RCT), clinical decision-making, new drugs development. The explosion of scientific research over the past decades, however, has led to misuse and abuse of statistical methods. Common sense should therefore always prevail. In sum, biostatistics, an amalgalm of mathematics, logic and judgment, has given the quantitative and factual dimension that the evolution of biomedical sciences required.
Biomedical Technology↗
Drawing conclusions from imperfect data--isn't that what science does all the time?
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Data Interpretation, Statistical↗
Free radicals and antioxidants in sepsis.
OBJECTIVES: The clinical condition of sepsis is caused by the release of numerous mediators from many cells. The purpose of this review is to describe the results of studies in which the role of free radicals and/or the potential therapeutic value of antioxidants are assessed. DATA SOURCES: The studies described in this review come from a variety of sources, including Med-Line CD-ROM computerized database, Index Medicus, and references identified from the bibliographies of pertinent articles and books. Reports were confined to English language articles from 1966 to 1992. STUDY SELECTION: All retrieved references in which free-radical activity was assessed or antioxidants were measured or administered in sepsis or endotoxemia were included. This selection process encompassed clinical, animal and in vitro cell culture work. DATA EXTRACTION: Cited literature was found in reputable peer-reviewed clinical or basic science journals. DATA SYNTHESIS: Any contradictions in the results of studies are discussed. CONCLUSIONS: There is evidence that free radicals play an important role in the pathogenesis of sepsis. Antioxidant therapy has the potential to protect against such injury. It is suggested that combination therapy, which augments the endogenous antioxidant defenses, is likely to be the best approach.
Animals↗
A call for mtDNA data quality control in forensic science.
There is increasing evidence that many of the mitochondrial DNA (mtDNA) databases published in the fields of forensic science and molecular anthropology are flawed. An a posteriori phylogenetic analysis of the sequences could help to eliminate most of the errors and thus greatly improve data quality. However, previously published caveats and recommendations along these lines were not yet picked up by all researchers. Here we call for stringent quality control of mtDNA data by haplogroup-directed database comparisons. We take some problematic databases of East Asian mtDNAs, published in the Journal of Forensic Sciences and Forensic Science International, as examples to demonstrate the process of pinpointing obvious errors. Our results show that data sets are not only notoriously plagued by base shifts and artificial recombination but also by lab-specific phantom mutations, especially in the second hypervariable region (HVR-II).
DNA Fingerprinting↗
Extrapolation of preclinical data into clinical reality translational science.
Human and animal in vitro models are potentially powerful preclinical tools: prediction of pharmacological behaviour of drugs; selection of animal species most closely related to humans based on metabolic patterns; prediction of drug interactions and explanation of metabolic origins of interindividual variabilities in pharmacological activity. Extrapolation of preclinical data into clinical reality is a translational science and remains an ultimate challenge in drug development.
Animals↗