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PubMed2002

[SOP-surgical operation planning].

Our active research project DFG Eu-49/1-2 strives to the reconstruction of bone defects basing on the individual craniofacial implants prefabricated within the TICC-processing-chain. In cases of disease of the bone the defect is to plan and the bone has to be resected. The planning of the defect is done on CT- and CAD-data. The common visualisation of this different data-types (CT-data as pixel- or voxel-data on the one hand and CAD-data as geometry-data on the other hand) was not possible in the used application. The development of "Surgical Operation Planning" (SOP) results in an application between CT-visualisation and CAD-application and allows the common visualisation and planning for defect reconstructions.

Brain Neoplasms↗
PubMed1976

30. Common problems of current data systems for long-term care.

This article reviews the varied long-term care data systems now being developed in the United States in the framework of a matrix derived from systems analysis and systems theory. Some common problems that emerge are that incentives are coming largely from the societal level; feedback to the institutional and patient care levels is lacking; little attention is being given to the individual level of decision making at one end of the spectrum and the national policy level at the other; and ideas and procedures developed in the acute care setting are being transferred to services traditionally lower in resources and determined more often by levels of patient functioning than by disease. The dominant instrument that emerges in long-term care is the periodic assessment form, in contrast to a hospital discharge abstract or ambulatory care encounter form; however, the data requirements appear to be more voluminous than in the case of acute hospital care, although less manpower is available to respond.

Information Systems↗
PubMed2004

A study of the external forces and moments at the shoulder and elbow while performing every day tasks.

OBJECTIVES: To establish a database of upper limb kinematics and kinetics to support the development of a biomechanical model of the shoulder and elbow. DESIGN: Ten unimpaired subjects were studied when performing 10 different tasks of every day living. BACKGROUND: The development of biomechanical models of the upper limb to support the design of total joint replacements requires data on the commonly performed activities. Unlike the lower limb, this involves the selection of the tasks believed to be the most common. METHODS: Kinematic data were collected using four video cameras to track the movements of reflective markers attached to the upper limb and trunk. The rigid body kinematics was then analysed and the external forces and moments at the shoulder and elbow were calculated using inverse dynamics. RESULTS: The greatest ranges of motion at the shoulder occurred during reaching and lifting tasks as did the greatest shoulder moment (14.3 Nm flexion). The greatest elbow flexion occurred while reaching the back of the head but the greatest moment (5.8 Nm) occurred while lifting a block to head height. CONCLUSIONS: A database of ranges of motion and external forces and moments has been established to support the development of biomechanical models of the upper limb. RELEVANCE: The development of biomechanical models to support the design of upper limb joint replacements requires detailed knowledge of the types and magnitudes of forces and moments at the joints.

Activities of Daily Living↗
PubMed1988

Pesticides.

1. Chemical treatment of crops is essential not only to reduce losses but also to prevent certain food related diseases. 2. Pesticides, unlike many other compounds, are designed to kill higher organisms and thus pose special toxicological problems. 3. It is important to understand the mechanism of action of the pesticide in the target organism in order to assess risk/benefit as accurately as possible. 4. In future the need for pharmacokinetic/dynamic and comparative metabolic data will increase and it will become important to gather human exposure data for certain commonly used compounds, data which are sadly lacking at present.

Animals↗
PubMed1998

Zinc gluconate and the common cold. Review of randomized controlled trials.

OBJECTIVE: To examine the evidence of seven randomized controlled trials (RCT) on the therapeutic effectiveness of zinc gluconate lozenges for treating the common cold. DATA SOURCES: Using the MeSH headings common cold and zinc gluconate, MEDLINE was searched from 1966 on for all published RCTs evaluating use of zinc gluconate for treating the common cold. STUDY SELECTION: For this study, only double-blind RCTs were included. SYNTHESIS: Fair evidence suggests that zinc gluconate lozenges have a therapeutic effect in treating the common cold. Starting therapy with zinc gluconate lozenges within 24 to 48 hours of onset of cold symptoms reduces the duration and severity of the cold. Patients must suck lozenges every 2 hours while awake during the cold. Minimum effective dose appears to be 13.3 mg of elemental zinc per lozenge. Evidence suggests that compounds such as citric acid, sorbitol, and mannitol bind the free zinc ion in the mouth, and this could account for variations in therapeutic benefit. Bad taste and nausea are important side effects of zinc lozenges. CONCLUSION: Evidence supports use of zinc gluconate lozenges for reducing the symptoms and duration of the common cold, but the side effects, bad taste, and therapeutic protocol might limit patient compliance.

Adult↗
PubMed1999

The sensitivity of Medicare claims data for case ascertainment of six common cancers.

BACKGROUND: Although Medicare claims data have been used to identify cases of cancer in older Americans, there are few data about their relative sensitivity. OBJECTIVES: To investigate the sensitivity of diagnostic and procedural coding for case ascertainment of breast, colorectal, endometrial, lung, pancreatic, and prostate cancer. SUBJECTS: Three hundred and eighty nine thousand and two hundred and thirty-six patients diagnosed with cancer between 1984 and 1993 resided in one of nine Surveillance Epidemiology and End Results (SEER) areas. MEASURES: The sensitivity of inpatient and Part B diagnostic and cancer-specific procedural codes for case finding were compared with SEER. RESULTS: The sensitivity of inpatient and inpatient plus Part B claims for the corresponding cancer diagnosis was 77.4% and 91.2%, respectively. The sensitivity of inpatient claims alone was highest for colorectal (86.1%) and endometrial (84.1%) cancer and lowest for prostate cancer (63.6%). However, when Part B claims were included, the sensitivity for diagnosis of breast cancer was greater than for other cancers (93.6%). Inpatient claim sensitivity was highest for earlier years of the study, and, because of more complete data and longer follow up, the highest sensitivity of combined inpatient and Part B claims was achieved in the late 1980s or early 1990s. CONCLUSIONS: Medicare claims provide reasonably high sensitivity for the detection of cancer in the elderly, especially if inpatient and Part B claims are combined. Because the study did not measure other dimensions of accuracy, such as specificity and predictive value, the potential costs of including false positive cases need to be assessed.

Aged↗
PubMed2004

Percent relative cumulative frequency analysis in indirect calorimetry: application to studies of transgenic mice.

Indirect calorimetry is commonly used in research and clinical settings to assess characteristics of energy expenditure. Respiration chambers in indirect calorimetry allow measurements over long periods of time (e.g., hours to days) and thus the collection of large sets of data. Current methods of data analysis usually involve the extraction of only a selected small proportion of data, most commonly the data that reflects resting metabolic rate. Here, we describe a simple quantitative approach for the analysis of large data sets that is capable of detecting small differences in energy metabolism. We refer to it as the percent relative cumulative frequency (PRCF) approach and have applied it to the study of uncoupling protein-1 (UCP1) deficient and control mice. The approach involves sorting data in ascending order, calculating their cumulative frequency, and expressing the frequencies in the form of percentile curves. Results demonstrate the sensitivity of the PRCF approach for analyses of oxygen consumption (.VO2) as well as respiratory exchange ratio data. Statistical comparisons of PRCF curves are based on the 50th percentile values and curve slopes (H values). The application of the PRCF approach revealed that energy expenditure in UCP1-deficient mice housed and studied at room temperature (24 degrees C) is on average 10% lower (p < 0.0001) than in littermate controls. The gradual acclimation of mice to 12 degrees C caused a near-doubling of .VO2 in both UCP1-deficient and control mice. At this lower environmental temperature, there were no differences in .VO2 between groups. The latter is likely due to augmented shivering thermogenesis in UCP1-deficient mice compared with controls. With the increased availability of murine models of metabolic disease, indirect calorimetry is increasingly used, and the PRCF approach provides a novel and powerful means for data analysis.

Acclimatization↗
PubMed1999

Presenting graphical information.

This article outlines the mistakes that are commonly made when data are presented graphically. Common errors when displaying data are highlighted, and preferred solutions for avoiding these mistakes are described. The preferred approaches form the requirements that authors should meet when submitting papers to the journal of Pediatric Allergy and Immunology.

Computer Graphics↗
PubMedDate not supplied

NEUROLAB, a comprehensive program for the analysis of neurophysiological and behavioural data.

A comprehensive and versatile computer software for IBM-compatible microcomputers has been developed. It is designed for quantitative off-line analysis of A/D-sampled intracellular or extracellular recordings and behavioural or stimulus data. The program works with single files or file sets. It supports data to be viewed on the monitor and allows sectioning of interesting data for common analysis. It offers 19 filters/operators for data processing and comprehensive possibilities to set and calculate trigger points. Data of trigger points can be exported as ASCII files. Standard neurophysiological histograms like interval-, PST-, phase histograms or auto- and cross-correlograms can be obtained. Time-dependent and phase-dependent averaging is possible for all original and filtered data. All graphical output on the display can directly be copied to a plotter/laser printer or HP-GL file by keyboard commands.

Animals↗
PubMed1986

Neural basis of psychomotor stimulant and opiate reward: evidence suggesting the involvement of a common dopaminergic system.

Data are reviewed that suggest a common neural system may be involved in the rewarding properties of psychomotor stimulant and opiate drugs. This neural system corresponds to elements in the ventral tegmental dopamine system with cell bodies in the ventral tegmentum and axon terminals in the nucleus accumbens. Several lines of evidence have shown that psychomotor stimulant reward involves a drug action in the nucleus accumbens and that opiate reward involves a drug action in the ventral tegmentum. Activation of the ventral tegmental system at either synaptic element can produce reinforcement by an enhancement of dopaminergic neurotransmission in the nucleus accumbens. Although additional brain systems may be involved in the rewarding actions of these compounds, their ability to activate the ventral tegmental dopamine system appears to make an important contribution to their net reinforcing impact.

Animals↗
PubMed2026

QCatch: a framework for quality control assessment and analysis of single-cell sequencing data.

MOTIVATION: Single-cell sequencing data analysis requires robust quality control (QC) to mitigate technical artifacts and ensure reliable downstream results. While tools like alevin-fry and simpleaf (and augmented execution context for the alevin-fry), offer flexibility and computational efficiency to process single-cell data, this ecosystem will further benefit from a standardized QC reporting tailored for its outputs. RESULTS: We introduce QCatch, a Python-based command-line tool that generates comprehensive and interactive HTML QC reports designed specifically for single-cell quantification results. Taking the output directory of alevin-fry or simpleaf as the input, QCatch is able to perform essential processing steps, like cell calling, and generate detailed QC reports that contain informative visualizations and statistics, including unique molecular identifier (UMI) count distributions, sequencing saturation estimates, and splicing status information, for QC assurance. Built for seamless integration into downstream analysis workflows, QCatch exports the processed results in a richly-annotated H5AD format file, a widely used data format common among many downstream single-cell data analysis tools. AVAILABILITY AND IMPLEMENTATION: The source code and documentation of QCatch are available on GitHub at https://github.com/COMBINE-lab/QCatch. QCatch can be installed via both Bioconda and PyPI.

Single-Cell Analysis↗
PubMed2025

The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data.

The Data Distillery Knowledge Graph (DDKG) is a framework for semantic integration and querying of biomedical data across domains. Built for the NIH Common Fund Data Ecosystem, it supports translational research by linking clinical and experimental datasets in a unified graph model. Clinical standards such as ICD-10, SNOMED, and DrugBank are integrated through UMLS, while genomics and basic science data are structured using ontologies and standards such as HPO, GENCODE, Ensembl, STRING, and ClinVar. The DDKG uses a property graph architecture based on the UBKG infrastructure and supports ontology-based ingestion, identifier normalization, and graph-native querying. The system is modular and can be extended with new datasets or schema modules. We demonstrate its utility for informatics queries across eight use cases, including regulatory variant analysis, tissue-specific expression, biomarker discovery, and cross-species variant prioritization. The DDKG is accessible via a public interface, a programmatic API, and downloadable builds for local use.

Journal Article↗
PubMed2006

Appropriate statistical methods to compare dose responses of methionine sources.

Two sources of methionine (Met) activity are frequently used in commercial feed formulation: DL-2-hydroxy-4-(methylthio) butanoic acid (HMTBA), most commonly available as an 88% solution with 12% water; and DL-methionine (DLM, 99% powder). Despite the fact that both compounds have been in commercial use for over 50 yr, controversy and confusion remain with respect to their relative bioefficacy (RBE). This paper presents a review of the use of a nonlinear common plateau asymptotic regression technique (NLCPAR) that has been used to compare the 2 Met sources with particular emphasis on the validity of the basic assumptions of that model. The thesis of this paper is that the controversy is due, at least in part, to the misapplication of this regression technique to estimate the RBE of HMTBA and DLM. The NLCPAR model is a bioassay with the key dependent assumptions that HMTBA is a dilution of DLM, and that each follows dose-response curves of the same form and approach a common plateau. Because both provide Met activity, it may be considered reasonable to accept these assumptions; however, specifically testing them demonstrated that the assumption of a common dose-response is not supported by data. The common plateau assumption was tested with an alternative approach of fitting nonlinear separate plateaus asymptotic regression (NLSPAR) to a set of 13 published broiler studies in which the NLCPAR model had been used to estimate RBE of HMTBA and DLM. The hypothesis of a common plateau was rejected (P < 0.01), meaning that the conclusion that HMTBA had lower bioefficacy than DLM based on the NLCPAR methodology was not valid. An example using published data demonstrated that the NLSPAR model was a significantly better fit than the NLCPAR model, and showed that HMTBA and DLM followed different dose responses. Consequently, there was no single value for RBE for the entire dose range; rather, the RBE of the 2 compounds varied with use level. The evidence presented here indicates that separate plateau models should be used when comparing these 2 products. These more valid models can then be used for predictions of differences between HMTBA and DLM at levels of expected use.

Animal Feed↗
PubMed2000

Depression in Asthma: Prevalence and Clinical Implications.

BACKGROUND: Asthma and depression are both common illnesses. Data suggest that the prevalence of asthma and asthma-related morbidity and mortality has increased in the past 2 decades. Asthma has long been considered an illness in which mood and emotions contribute to symptom exacerbation. Therefore, we reviewed the recent literature on depression in persons with asthma. DATA SOURCES: The MEDLINE (1966-1999) and PSYCHINFO (1967-1999) databases were used to find English-language articles on asthma and depression. Search terms included asthma, depression, dysthymia, and mood. DATA SYNTHESIS: This literature suggests depressive symptoms are more common in asthma patients than in the general population and perhaps even more common than in some other general medical conditions. Depression may be associated with asthma morbidity and mortality. Limited data suggest the older tricyclic antidepressants may improve both depression and asthma symptoms. However, no studies have examined the use of second-generation antidepressants in asthma patients. CONCLUSION: Depressive symptoms are common in asthma patients. However, the prevalence of depressive disorders in this population is not well determined. Future studies should focus on determining the prevalence of major depressive disorder in this population and the effect of antidepressants on mood and asthma symptoms.

Journal Article↗
PubMed2002

Structural analysis of two enzymes catalysing reverse metabolic reactions implies common ancestry.

The crystal structure of the dimeric anthranilate phosphoribosyltransferase (AnPRT) reveals a new category of phosphoribosyltransferases, designated as class III. The active site of this enzyme is located within the flexible hinge region of its two-domain structure. The pyrophosphate moiety of phosphoribosylpyrophosphate is co-ordinated by a metal ion and is bound by two conserved loop regions within this hinge region. With the structure of AnPRT available, structural analysis of all enzymatic activities of the tryptophan biosynthesis pathway is complete, thereby connecting the evolution of its enzyme members to the general development of metabolic processes. Its structure reveals it to have the same fold, topology, active site location and type of association as class II nucleoside phosphorylases. At the level of sequences, this relationship is mirrored by 13 structurally invariant residues common to both enzyme families. Taken together, these data imply common ancestry of enzymes catalysing reverse biological processes--the ribosylation and deribosylation of metabolic pathway intermediates. These relationships establish new links for enzymes involved in nucleotide and amino acid metabolism.

Amino Acid Sequence↗
PubMed1995

A proposal for a new approach to intergroup cancer trials.

Currently, North American intergroup trials are conducted according to the Intergroup Guidelines, which require that a lead group take responsibility for data management. Intergroup studies conducted in this manner have been very successful in rapidly accruing large numbers of patients to trials addressing significant questions, but it has been difficult for group statistical centres to cope with the resultant peaks in data flow. Our groups recently succeeded in combining the data from three independently designed and conducted trials to carry out a planned pooled analysis. This experience has led us to employ the same approach to data management in designing a forthcoming intergroup trial. We will use a common protocol and capture the same data elements on our forms, but each group will be responsible for the collection and quality control of its own data. A common data set will be created and updated periodically during the study, and will be used for the final analysis. We suggest that this model has advantages over the current approach to data management on intergroup trials, but still retains the features which distinguish an intergroup study from meta-analysis.

Clinical Trials as Topic↗
PubMed2001

Changes in waiting-list patients over time: data on some commonly-used measures. Beware!

When samples of psychiatric patients are assessed on 2 occasions on state and trait measures, without any formal intervention having yet taken place, a mean change in scores towards less psychopathology is often observed. This re-test effect, which is a potential threat to the validity of longitudinal studies, has not been given serious attention by researchers using repeated administrations. The present study addressed this issue by examining re-test effects in 2 independent clinical samples with the Symptom Check List-90-Revised and other widely-used state and trait measures. Time intervals between intake and re-take were 3 months and 11-350 days (M = 93 days, median = 81 days). Results indicated that the re-test effect occurred for most of the measures. Where significant testing effects were observed, 54-72% of the patients had time 2 scores that were lower than the average time I scores. The importance and practical and scientific implications of the findings are discussed. Eleven hypotheses concerning the nature of the re-test effect are offered, including mood-congruent associative processing, natural coping mechanisms, self-monitoring hypothesis and response-shift.

Adult↗