Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Data Quality”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 973 records · Page 54Linked to original sources

Medication treatment of bipolar disorder 2000: a summary of the expert consensus guidelines.

The original Expert Consensus Guidelines on the Treatment of Bipolar Disorder were published in 1996. Since that time, a variety of new treatments for bipolar disorder have been reported; however, evidence for these treatments varies widely, with data especially limited regarding comparisons between treatments and how to sequence them. For this reason, a new survey of expert opinion was undertaken to bridge gaps between the research evidence and key clinical decisions. The results of this new survey, which was completed by 58 experts, are presented in The Expert Consensus Guideline Series: Medication Treatment of Bipolar Disorder 2000, which was published in April 2000 as a Postgraduate Medicine Special Report. In this article, the authors describe the methodology used in the survey and summarize the clinical recommendations given in the resulting guidelines. The expert panel reached consensus on many key strategies, including acute and preventive treatment of mania (euphoric, mixed, and dysphoric subtypes), depression, rapid cycling, and approaches to managing treatment resistance and comorbid psychiatric conditions. Use of a mood stabilizer is recommended in all phases of treatment. Divalproex (especially for mixed or dysphoric subtypes) and lithium are the primary mood stabilizers for both acute and preventive treatment of mania. If monotherapy with these agents fails, the next recommended intervention is to combine them. This combination of lithium and divalproex can then serve as the foundation to which other medications are added if needed. Carbamazepine is the leading alternative mood stabilizer for mania. The experts rated the other new anticonvulsants as second-line options (i.e., their use is recommended if lithium, divalproex, and carbamazepine fail or are contraindicated). For milder depression, a mood stabilizer, especially lithium, may be used as monotherapy. Divalproex and lamotrigine are other first-line choices. For more severe depression, the experts recommend combining a standard antidepressant with lithium or divalproex. Bupropion, selective serotonin reuptake inhibitors (SSRIs), and venlafaxine are preferred antidepressants. The antidepressants should usually be tapered 2-6 months after remission. Monotherapy with divalproex is recommended for the initial treatment of either depression or mania in rapid-cycling bipolar disorder. Antipsychotics are recommended for use in combination with the above regimens for mania or depression with psychosis, and as potential adjuncts in nonpsychotic episodes. Atypical antipsychotics, especially olanzapine and risperidone, were generally preferred over conventional antipsychotics. The guidelines also include recommendations concerning the use of electroconvulsive therapy (ECT), clozapine, thyroid hormone, stimulants, and various novel agents for patients with treatment-refractory bipolar illness. The experts reached high levels of consensus on key steps in treating bipolar disorder despite obvious gaps in high-quality data. To evaluate many of the treatment options in this survey, the experts had to extrapolate beyond controlled data; however, their recommendations are generally conservative. Experts give their strongest support to initial strategies and medications for which high-quality research data or longstanding patterns of clinical usage exist. Within the limits of expert opinion and with the understanding that new research data may take precedence, these guidelines provide clear pathways for addressing common clinical questions and can be used to inform clinicians and educate patients about the relative merits of a variety of interventions.

Journal Article↗

Improving dental epidemiologic data collection with computers.

A computerized dental data recording system (DDRS) was developed for the New England Elder Dental Study to improve data quality and increase field staff efficiency. The DDRS displays video screens similar to traditional paper forms to record data on coronal and root caries, dentate and denture status, subacute bacterial endocarditis screening, gingival bleeding, calculus, and periodontal attachment level. DDRS provides facilities for date and exam-component time tracking, on-line contextual comments, random record retrieval, editing, data backup, and data output in various data formats. This study compared the DDRS with a paper-form system for data entry accuracy. Dental caries and periodontal disease measurement data from 38 subjects were recorded on paper forms and independently entered using DDRS. The DDRS identified 150 illogical data errors, 39 inconsistent data errors, 7 invalid data and 34 miscellaneous data errors. Four technicians with field experience using both paper forms and DDRS reported time savings using DDRS in the field. DDRS has the potential for additional time savings by minimizing the time for data coding, cleaning, and management. Results demonstrate that DDRS could improve the quality of oral epidemiologic data by mandating strict adherence to protocols, preventing errors, and increasing field efficiency.

Computers↗

An acute care physical therapy clinical practice database for outcomes research.

Clinical practice databases are frequently used to assess outcomes in various medical specialties. Formulating a computerized physical therapy medical record requires standardization of clinical assessments among the users. The purpose of this article is to describe an acute care physical therapy database system that emphasizes high-quality measures of function. The logic underlying the development of a physical therapy computerized medical record is described. Selected uses of the database are demonstrated by projects that assess data quality, generate clinical hypotheses, manage clinical data, develop clinical measures, and generate pilot data on patient variability. Patients seen in physical therapy for total joint replacement, pain, and decreased ambulation were studied to demonstrate some of the present capabilities of the database. Clinical practice databases contribute to the overall research mission, provided the data are of high quality. The use of databases in conjunction with randomized clinical trials may serve an important role in determining effective physical therapy interventions to reduce disability.

Database Management Systems↗

Quantitative data generation for systems biology: the impact of randomisation, calibrators and normalisers.

Systems biology is an approach to the analysis and prediction of the dynamic behaviour of biological networks through mathematical modelling based on experimental data. The current lack of reliable quantitative data, especially in the field of signal transduction, means that new methodologies in data acquisition and processing are needed. Here, we present methods to advance the established techniques of immunoprecipitation and immunoblotting to more accurate and quantitative procedures. We propose randomisation of sample loading to disrupt lane correlations and the use of normalisers and calibrators for data correction. To predict the impact of each method on improving the data quality we used simulations. These studies showed that randomisation reduces the standard deviation of a smoothed signal by 55% +/- 10%, independently from most experimental settings. Normalisation with appropriate endogenous or external proteins further reduces the deviation from the true values. As the improvement strongly depends on the quality of the normaliser measurement, a criteria-based normalisation procedure was developed. Our approach was experimentally verified by application of the proposed methods to time course data obtained by the immunoblotting technique. This analysis showed that the procedure is robust and can significantly improve the quality of experimental data.

Algorithms↗

Analysis of longitudinal health-related quality of life data with terminal events.

Longitudinal health-related quality of life data arise naturally from studies of progressive and neurodegenerative diseases. In such studies, patients' mental and physical conditions are measured over their follow-up periods and the resulting data are often complicated by subject-specific measurement times and possible terminal events associated with outcome variables. Motivated by the "Predictor's Cohort" study on patients with advanced Alzheimer disease, we propose in this paper a semiparametric modeling approach to longitudinal health-related quality of life data. It builds upon and extends some recent developments for longitudinal data with irregular observation times. The new approach handles possibly dependent terminal events. It allows one to examine time-dependent covariate effects on the evolution of outcome variable and to assess nonparametrically change of outcome measurement that is due to factors not incorporated in the covariates. The usual large-sample properties for parameter estimation are established. In particular, it is shown that relevant parameter estimators are asymptotically normal and the asymptotic variances can be estimated consistently by the simple plug-in method. A general procedure for testing a specific parametric form in the nonparametric component is also developed. Simulation studies show that the proposed approach performs well for practical settings. The method is applied to the motivating example.

Health Status↗

The Expert Consensus Guideline Series: Medication Treatment of Bipolar Disorder 2000.

OBJECTIVES: New treatments for bipolar disorder have been reported since we first published survey-based expert consensus guidelines in 1996. The evidence for these treatments varies widely; data are especially limited regarding comparisons between treatments and how to sequence them. We therefore undertook a new survey of expert opinion in order to bridge gaps between the research evidence and key clinical decisions. METHOD: Based on a literature review, a written survey was prepared which asked about 1,276 options for psychopharmacologic interventions in 48 specific clinical situations. Most options were scored using a modified version of the RAND Corporation 9-point scale for rating appropriateness of medical decisions. We contacted 65 national experts, 58 of whom (89%) completed the survey. Consensus on each option was defined as a non-random distribution of scores by chi-square test. We assigned a categorical rank (first-line/preferred choice, second-line/alternate choice, third-line/usually inappropriate) to each option based on the confidence interval of its mean rating. Guideline tables indicating preferred treatment strategies were then developed for key clinical situations. RESULTS: The expert panel reached consensus on many key strategies, including acute and preventive treatment for mania (euphoric, mixed, and dysphoric subtypes), depression, and rapid cycling, and approaches to managing the complications of treatment resistance and comorbidity. Use of a mood stabilizer is recommended in all phases of treatment. Divalproex (especially for mixed or dysphoric subtypes) and lithium are the cornerstone choices among this class for both acute and preventive treatment of mania. Regardless of which is selected first, if monotherapy fails, the next recommended intervention is to use these agents in combination. The combination can then serve as the foundation on which other medications are added, if needed. Carbamazepine is the leading alternative mood stabilizer for mania. Expert opinion regards other new anticonvulsants as second-line options (e.g., if the previously mentioned mood stabilizers fail or are contraindicated). For milder depression, a mood stabilizer, especially lithium, may be used as monotherapy. Divalproex and lamotrigine are other first-line choices. For more severe depression, a standard antidepressant should be combined with lithium or divalproex. Bupropion, selective serotonin reuptake inhibitors (SSRIs), and venlafaxine are preferred antidepressants, and should be tapered 2 to 6 months after remission. Divalproex monotherapy is recommended for initial treatment of either depression or mania with rapid cycling. Antipsychotics are recommended for use with the above regimens for mania or depression with psychosis, and as potential adjuncts in non-psychotic episodes. Atypical antipsychotics, especially olanzapine and risperidone, were generally preferred over conventional antipsychotics. Recommendations are also given concerning the use of electroconvulsive therapy (ECT), clozapine, thyroid hormone, stimulants, and various novel agents for patients with treatment-refractory illness. CONCLUSIONS: The experts reached high levels of consensus on key steps in treating bipolar disorder despite obvious gaps in high-quality data. To evaluate many of the treatment options in this survey, the experts had to extrapolate beyond controlled data; however, their recommendations are generally conservative. Experts reserve strongest support for initial strategies and individual medications for which there are high-quality research data, or for which there are longstanding patterns of clinical usage. Within the limits of expert opinion and with the understanding that new research data may take precedence, these guidelines provide clear pathways for addressing common clinical questions in a manner that can be used to inform clinicians and educate patients regarding the relative merits of a variety of interventions.

Bipolar Disorder↗

Use of an artificial neural network (ANN) for classifying nursing care needed, using incomplete input data.

BACKGROUND: In German nursing insurance, the act of classifying the client into four categories of disability is based on legally defined distinct criteria. When classifying deceased persons it is often impossible to collect all the required information. PRIMARY OBJECTIVE: We aimed to determine the ability of an artificial neural network (ANN) to calculate the category of disability, to investigate the response of the ANN to input items of different nature, quantity and data quality, and to estimate the minimum number of training data required. RESEARCH DESIGN: The investigation was conducted as a retrospective observational study. METHODS AND PROCEDURES: The analysis was based on routine records of 14000 adult clients of the nursing insurance. Several ANNs were trained, varying nature, number and quality of the input items as well as the size of the training data set. Each ANN's classification competence was tested on independent validation data, judging the ANN's conformance to the result of the individual expert assessment, using kappa statistics. MAIN RESULTS: Fed with all 30 input items available, the net classified 80% of cases correctly (weighted kappa = 0.78). Using three input items, weighted kappa was 0.63. Severe misclassification (deviation by more than one category in either direction) ranged between 0.2% (all 30 input items) and 3.7% (3/30 items). The less complete the individual input items were, the less accurate was the net's estimate. A 20% rate of missing values was well tolerated. A training set comprising 500 cases was adequate. CONCLUSIONS: The input item set inherits redundancy. The ANN's ability to correctly respond to subsets of input items makes it a powerful tool in quality control. In the categorization of deceased persons when only an incomplete input item set is available, the ANN can achieve satisfactory results.

Activities of Daily Living↗

Investigator and site selection and performing GCP clinical studies in India.

The optimum site and investigator selection process remains a closely guarded confidential matter and an essential part of development expertise of big pharmaceutical companies and CROs. The right and careful selection and evaluation of investigators and site is critical for successful completion of the trial within budget, timelines and generation of high quality data. The criteria for site and investigator selection in India for Good Clinical Practices (GCP) clinical trials are described for a start up company/CRO and can be applied to any country in Asia and Africa. Foreign sponsors doing clinical studies in India should pay close attention to site and investigator selection. The first GCP study in India was done only in 1995. At the dawn of 21st century, India is at the take off stage in clinical trials now. GCP studies can be done in India, as the quality of data is good, costs are lower and patient enrolment is much faster resulting in early completion of studies.

Choice Behavior↗

Measuring sexual behaviour in the era of HIV/AIDS: the experience of Demographic and Health Surveys and similar enquiries.

OBJECTIVES: To review the sexual behaviour data collected in the Demographic and Health Surveys (DHS) and other similar national surveys from the perspective of data quality. METHODS: Two indicators of premarital and higher risk sexual behaviour were analysed for 31 surveys in 10 countries in sub-Saharan Africa and Latin America and the Caribbean. The analysis focused on the internal consistency of trends and gender differences in the reported indicators. RESULTS: The authors found fluctuating trends in premarital sex in sub-Saharan Africa but consistent increases in Latin America and the Caribbean. Changes in questionnaire design do not seem to contribute to these trends and there is evidence that the increase in premarital sex is genuine in Latin America. Trends in sex with non-spousal, non-cohabiting partners show large fluctuations and inconsistencies between surveys in some countries but not others. Men are consistently more likely to report non-marital sexual partners than women and unmarried women are less likely than unmarried men to report casual partners. CONCLUSIONS: Surveys are potentially a valuable source of information on sexual behaviour but there are sufficient grounds for concern to warrant considerable caution in the use of survey data to monitor trends in sexual behaviour. Survey findings must be evaluated carefully and interpreted in the context of other available information. These results caution against placing heavy emphasis on short term changes in sexual behaviour between individual surveys and highlight the need for attention to quality in data collection.

Adolescent↗

Using employer purchasing power to improve the quality of perinatal care.

Large employers have become increasingly involved in helping to set the agenda for quality measurement and improvement. Moreover, they are beginning to hold health care organizations accountable for their performance through marketplace incentives, including the public reporting of comparative quality data and the linkage of reimbursement to performance on quality measures. The Pacific Business Group on Health (PBGH) is an employer coalition that has been prominent in establishing models for collaborative quality measurement and improvement in the California marketplace. PBGH's involvement in quality stems from an environment in which purchasers were faced with high health care costs, yet virtually no information with which to assess the value their employees received from that care. Research indicating widespread variation in performance across health care organizations and seemingly limited oversight for quality of care within the industry has further motivated purchasers' efforts to better understand the quality of care being delivered to their em-ployees. Using the purchasing power of employers representing 2.5-million covered lives, PBGH endeavors to encourage the transition of the health care marketplace from one that competes solely on price to one that competes on price and quality. This entails collaborating with the health care industry to develop and publicly report valid performance data for use by both large employers and consumers of health care services. It also includes communicating to the marketplace purchasers' commitment to making purchasing decisions based on quality as well as cost. PBGH efforts to measure, report, and improve quality have been demonstrated by several undertakings in the perinatal care arena, including research to assess cesarean section rates and newborn readmission rates across California hospitals.employer coalition, purchaser, quality measurement, quality improvement, report cards, perinatal quality of care.

California↗

arrayQCplot: software for checking the quality of microarray data.

UNLABELLED: arrayQCplot is a software for the exploratory analysis of microarray data. This software focuses on quality control and generates newly developed plots for quality and reproducibility checks. It is developed using R and provides a user-friendly graphical interface for graphics and statistical analysis. Therefore, novice users will find arrayQCplot as an easy-to-use software for checking the quality of their data by a simple mouse click. AVAILABILITY: arrayQCplot software is available from Bioconductor at http://www.bioconductor.org. A more detailed manual is available at http://bibs.snu.ac.kr/software/arrayQCplot CONTACT: tspark@stats.snu.ac.kr.

Algorithms↗

Health crisis in Russia. I. Recent trends in life expectancy and causes of death from 1970 to 1993.

The authors analyze trends in life expectancy and causes of death in Russia from 1970 to 1993, with a focus on reasons for the recent declines in life expectancy. "Before discussing the trends themselves, we shall...look at the possible distortions that changes in data quality may have produced. However, even if it has been exaggerated to some degree, nobody contests the reality of the Soviet health crisis, and we shall attempt to derive some explanation by analysing the age and cause-of-death structures of mortality in Russia."

Cause of Death↗

Simulation and trend analysis of the water quality monitoring daily data in Nestos River Delta. Contribution to the sustainable management and results for the years 2000-2002.

The transboundary River Nestos in the Balkan Peninsula is a surface water resource shared by Hellas and Bulgaria. The Public Power Corporation of Hellas (DEH) proceeded to the dams' construction of Thesaurus in 1997 and Platanovrissi in 2000, to satisfy the increased needs for power production and irrigation in the Regions of Eastern Macedonia and Thrace in the Hellenic Territory. DEH following the Ministerial Agreement of the Hellenic Parliament ';KYA 18492/19-09-1996'' funded a series of Research Projects concerned on the monitoring of the water quantity and quality data of Nestos from the Hellenic-Bulgarian borders to its estuaries in the Thracian sea. ';PERSEAS'' Research Group from Aristotle University of Thessaloniki, carried out the research, design, construction, installation, operation and maintenance of the ';R.E.MO.S.'' (Remote Environmental MOnitoring System) networks. Three REMOS networks have been installed in the areas of (a) the River Nestos deltaic channel, (b) Thesaurus dam-lake in the intramountainous valley and (c) Potamoi (Despat) and Pagoneri (Nestos) villages close to the borders between Hellas and Bulgaria. They record water level (H), water and air temperature (T), water conductivity (ECw), Redox potential (RP) and dissolved oxygen (DO) on a 24h basis, since the beginning of the year 2000. The research carried out in this paper, is focused on the REMOS station in the final course of Nestos in the deltaic area. The continuous monitoring and the data analysis yield useful results for the quality and quantity of the hydrologic regime of Nestos after the dams' construction, as well as for the trends detected of the quality parameters (ECw, RP and DO) and the water level, using the nonparametric Spearman's criterion. The best fitted model of time trend, for each variable, was chosen. The statistical sample of each one of the quality variables consisted of about 1000 values based on daily measures on a three years monitoring program (1/1/2000-31/12/2002). Further research and analysis for the other network stations of REMOS should provide useful results for the sustainable management of the transboundary River Nestos.

Air↗

Interventions for rosacea.

BACKGROUND: Rosacea is a common skin condition affecting the face, characterised by flushing, redness, pimples, pustules and dilated blood vessels. The eyes are often also involved. The cause of rosacea is unclear. It is a chronic disease, which can be controlled in most cases with appropriate treatment. Numerous treatments are in use although it is unclear which are best, and which are most appropriate for the different types of rosacea. OBJECTIVES: To assess and summarise current evidence for the efficacy and safety of treatments for rosacea. SEARCH STRATEGY: We searched the Skin Group Specialised Trials Register (March 2002), Cochrane Central Register of Controlled Trials (CENTRAL, March 2002), MEDLINE (from 1966 to March 2002), EMBASE (from 1980 to March 2002), Biosis (from 1970 to March 2002) and the Science Citation Index (from 1988 to March 2002). Reference lists of trials and key review articles were also searched. Relevant manufacturers and experts were contacted. SELECTION CRITERIA: Randomised controlled trials in people with moderate to severe rosacea were included. Studies judged by the reviewers to have seriously flawed methodology were excluded. DATA COLLECTION AND ANALYSIS: Study selection, assessment of methodological quality, data extraction and analysis were carried out by two independent reviewers. MAIN RESULTS: The evidence provided by twenty-two included studies was generally weak because of poor methodology and reporting. One of our primary outcome measures, 'quality of life', was not assessed in any of the studies. Only two studies of ocular rosacea could be included. Pooled data from two trials involving 174 participants indicated that topical metronidazole is more effective than placebo (odds ratio 5.96, 95% confidence interval 2.95 to 12.06). Data from a between-patient trial (114 patients) and a within-patient trial (33 patients) of azelaic cream versus placebo were not pooled, but both showed good evidence of efficacy. Data pooled from three studies of oral tetracycline versus placebo involving 152 participants showed that, according to physicians' ratings, tetracycline was effective (odds ratio 6.06, 95% confidence interval 2.96 to 12.42). Some evidence of efficacy of oral metronidazole was provided by one small study. REVIEWER'S CONCLUSIONS: The quality of studies evaluating rosacea treatments was generally poor. There is evidence that topical metronidazole and azelaic acid cream have a therapeutic effect. There is some evidence that oral metronidazole and tetracycline are effective. There is insufficient evidence concerning the effectiveness of other treatments. As many of these treatments are used for rosacea, good RCTs are urgently needed.

Humans↗

Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)--a case study.

This case study reports different multivariate statistical techniques applied for evaluation of temporal/spatial variations and interpretation of a large complex water-quality data set obtained during monitoring of Gomti River in Northern part of India. Water quality of the Gomti River, a major tributary of the Ganga River was monitored at eight different sites selected in relatively low, moderate and high pollution regions, regularly over a period of 5 years (1994-1998) for 24 parameters. The complex data matrix (17,790 observations) was treated with different multivariate techniques such as cluster analysis, factor analysis/principal component analysis (FA/PCA) and discriminant analysis (DA). Cluster analysis (CA) showed good results rendering three different groups of similarity between the sampling sites reflecting the different water-quality parameters of the river system. FA/PCA identified six factors, which are responsible for the data structure explaining 71% of the total variance of the data set and allowed to group the selected parameters according to common features as well as to evaluate the incidence of each group on the overall variation in water quality. However, significant data reduction was not achieved, as it needed 14 parameters to explain 71% of both the temporal and spatial changes in water quality. Discriminant analysis showed the best results for data reduction and pattern recognition during both temporal and spatial analysis. Discriminant analysis showed five parameters (pH, temperature, conductivity, total alkalinity and magnesium) affording more than 88% right assignations in temporal analysis, while nine parameters (pH, temperature, alkalinity, Ca-hardness, DO, BOD, chloride, sulfate and TKN) to afford 91% right assignations in spatial analysis of three different regions in the basin. Thus, DA allowed reduction in dimensionality of the large data set, delineating a few indicator parameters responsible for large variations in water quality. This study presents necessity and usefulness of multivariate statistical techniques for evaluation and interpretation of large complex data sets with a view to get better information about the water quality and design of monitoring network for effective management of water resources.

Data Collection↗

Interventions for rosacea.

BACKGROUND: Rosacea is a common chronic skin condition affecting the face, characterised by flushing, redness, pimples, pustules, and dilated blood vessels. The eyes are often involved. Frequently it can be controlled, but it is not clear which treatments are most effective. OBJECTIVES: To assess the evidence for the efficacy and safety of treatments for rosacea. SEARCH STRATEGY: We searched the Skin Group Specialised Register (February 2005), Cochrane Central Register of Controlled Trials (The Cochrane Library Issue 1, 2005), MEDLINE (1966 to February 2005), EMBASE (1980 to February 2005), BIOSIS (1970 to March 2002) and the Science Citation Index (1988 to February 2005). Reference lists of trials and key review articles were searched. Relevant manufacturers and experts were contacted. SELECTION CRITERIA: Randomised controlled trials in people with moderate to severe rosacea were included. Studies judged by the authors to have seriously flawed methodology were excluded. DATA COLLECTION AND ANALYSIS: Study selection, assessment of methodological quality, data extraction and analysis were carried out by two independent authors. Disagreements were resolved by discussion and consensus. MAIN RESULTS: The evidence provided by twenty-nine included studies was generally weak because of poor methodology and reporting. One of our primary outcome measures, 'quality of life', was not assessed in any of the studies. Only two studies of ocular rosacea were included. Pooled data from two trials involving 174 participants indicated that according to the participants, topical metronidazole is more effective than placebo (odds ratio (OR) 5.96, 95% confidence interval (CI) 2.95 to 12.06). Data pooled from three between-patient trials showed a clear improvement in the azelaic acid group; the rates of treatment success were approximately 70 to 80% versus 50% to 55% (OR 2.45, 95% CI 1.82 to 3.28). A within-patient trial of azelaic cream versus placebo could not be pooled with the other three studies, but also showed good evidence of efficacy. Data pooled from three studies of oral tetracycline versus placebo involving 152 participants showed that, according to physicians, tetracycline was effective (OR 6.06, 95% CI 2.96 to 12.42). Some evidence of efficacy of oral metronidazole was provided by one small study. AUTHORS' CONCLUSIONS: The quality of studies evaluating rosacea treatments was generally poor. There is evidence that topical metronidazole and azelaic acid are effective. There is some evidence that oral metronidazole and tetracycline are effective. There is insufficient evidence concerning the effectiveness of other treatments. Good RCTs looking at these treatments are urgently needed.

Dermatologic Agents↗

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice.

Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip-dating approaches, including fossil data, for inference of time-scaled trees and rates of evolution. However, attention has largely focused on the improvement of models of morphological evolution and other analytical tools with much less discussion about data acquisition itself. Here we review past and current practice for describing and collecting morphological data for phylogenetic inference. We present a systematic review of 164 phylogenetic analyses conducted over the last 35 years and focused on a diverse group of extinct arthropods: trilobites. Trends in increasing matrix size, data type, and coding strategy are evident. Where present, polymorphic characters have been predominantly derived from discretized continuous characters, although increasingly practitioners are utilizing alternative approaches for the treatment of quantitative characters. Not surprisingly, traditional indices that describe character consistency are highly correlated with matrix size but show surprising variation at different taxonomic scales. More recent attempts to describe data quality using information theory imply that characters can have high information content even if data are missing for many tips, providing support against the exclusion of characters because of missing data. In consideration of this, as well as advances in the study of developmental biology and variational complexity, we identify several avenues for increasing the quality and quantity of morphological data going forward.

Phylogeny↗

[Markov process method in analyzing longitudinal quality of life data].

OBJECTIVE: To present a method to analyze longitudinal quality of life data and discuss some relevant questions. METHOD: Based on the theories of Markov process, the Markov method was presented and used to analyze the change of quality of life status for 212 cases being detoxificated drug addicts and their influence factors. RESULTS: The intensity coefficients of status transient for 1-->2 and 2-->3 for occupation were 0.7912 and 0.6797 respectively; the coefficients for status 1-->2 for the detoxification time was 0.5663 and that for 2-->3 for the detoxification method was 0.2765. CONCLUSIONS: The Markov method is good to analyze longitudinal quality of life data for it can analyze both the transient probabilities between any two status of quality of life and their influence factors. The results showed that the occupation of drug addicts, the detoxification time and method can affect the change of quality of life.

Humans↗