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Development of a type 2 diabetes symptom checklist: a measure of symptom severity.

The aim of the present study was to develop a Type 2 diabetes symptom checklist for use in clinical and epidemiological research, which can measure differences in symptom severity between patients and detect changes over time within patients. Face and content validity of items and dimension structure were based on literature and experiences of diabetologists. Two Likert scales were used to measure symptom frequency and perceived burden. Reliability, responsiveness and validity were studied in 185 Type 2 diabetic patients. Factor-analysis confirmed the predesigned dimension structure with 34 items, distributed over 6 dimensions. The internal consistency with Cronbach alpha coefficients between 0.76 and 0.95 and test-retest reliability with Pearson product-moment correlation coefficients between 0.79 and 0.94 were satisfactory. The ability to detect change over time (responsiveness) was estimated in stable subjects, using sample size calculations. A minimal detectable mean change of 0.07-0.58 points in total score on the 10-point scale within a group of 100 subjects suggests an impressive responsiveness. Significant differences in symptom severity score were found between patients with different co-morbidity status and treatment modes, indicating satisfactory construct validity of the dimension structure. The Type 2 Diabetes Symptom Checklist was found to be a useful diabetes-specific symptom severity assessment method for clinical and epidemiological studies.

Aged↗

Nonparametric estimation of the bivariate recurrence time distribution.

This article considers statistical models in which two different types of events, such as the diagnosis of a disease and the remission of the disease, occur alternately over time and are observed subject to right censoring. We propose nonparametric estimators for the joint distribution of bivariate recurrence times and the marginal distribution of the first recurrence time. In general, the marginal distribution of the second recurrence time cannot be estimated due to an identifiability problem, but a conditional distribution of the second recurrence time can be estimated non-parametrically. In the literature, statistical methods have been developed to estimate the joint distribution of bivariate recurrence times based on data on the first pair of censored bivariate recurrence times. These methods are inefficient in the model considered here because recurrence times of higher orders are not used. Asymptotic properties of the proposed estimators are established. Numerical studies demonstrate the estimators perform well with practical sample sizes. We apply the proposed method to the South Verona, Italy, psychiatric case register (PCR) data set for illustration of the methods and theory.

Algorithms↗

Breakpoints in alpha, beta, and satellite III DNA sequences of chromosome 9 result in a variety of pericentric inversions.

Human chromosome 9 with a pericentric inversion involving the qh region is considered normal. It has probably evolved through breakage and reunion and is retained through mendelian inheritance without any apparent phenotypic consequences. Fluorescent in situ hybridisation (FISH) technique using alpha, beta, and satellite III DNA probes showed that the breakpoints are variable and can be localised in the alpha or in the satellite III and beta DNA regions or both. Three types of inversions are proposed which appear similar by CBG banding: pericentric inversions with two alphoid, one beta, and one satellite III hybridisation signals were classified as type A. Type B were those with two beta, one alpha, and one satellite III hybridisation signals, while type C was complex, and most likely involved two inversions, since two separate hybridisation signals were detected in each of the alphoid, beta satellite, and satellite III DNA regions. Based on eight cases, type A is likely to be the most frequent, but the frequencies, which at present appear non-random for these different types of inversions in the population, can only be estimated by studying a larger sample size. Inversion heteromorphisms may promote reshuffling of tandem arrays of DNA repeat sequences, thereby giving rise to new heteromorphic domains. Alternatively, the repetitive nature of the sequences lends to the structural variations observed within the inv(9) chromosomes (or any other abnormal chromosome that is the result of recombination between, or breakage within, repetitive DNA).

Chromosome Inversion↗

The effect of Gonioscopy on keratometry and corneal surface topography.

BACKGROUND: Biometric procedures such as keratometry performed shortly after contact procedures like gonioscopy and applanation tonometry could affect the validity of the measurement. This study was conducted to understand the short-term effect of gonioscopy on corneal curvature measurements and surface topography based Simulated Keratometry and whether this would alter the power of an intraocular lens implant calculated using post-gonioscopy measurements. We further compared the effect of the 2-mirror (Goldmann) and the 4-mirror (Sussman) Gonioscopes. METHODS: A prospective clinic-based self-controlled comparative study. 198 eyes of 99 patients, above 50 years of age, were studied. Exclusion criteria included documented dry eye, history of ocular surgery or trauma, diabetes mellitus and connective tissue disorders. Auto-Keratometry and corneal topography measurements were obtained at baseline and at three follow-up times - within the first 5 minutes, between the 10th-15th minute and between the 20th-25th minute after intervention. One eye was randomized for intervention with the 2-mirror gonioscope and the other underwent the 4-mirror after baseline measurements. t-tests were used to examine differences between interventions and between the measurement methods. The sample size was calculated using an estimate of clinically significant lens implant power changes based on the SRK-II formula. RESULTS: Clinically and statistically significant steepening was observed in the first 5 minutes and in the 10-15 minute interval using topography-based Sim K. These changes were not present with the Auto-Keratometer measurements. Although changes from baseline were noted between 20 and 25 minutes topographically, these were not clinically or statistically significant. There was no significant difference between the two types of gonioscopes. There was greater variability in the changes from baseline using the topography-based Sim K readings. CONCLUSION: Reversible steepening of the central corneal surface is produced by the act of gonioscopy as measured by Sim K, whereas no significant differences were present with Auto-K measurements. The type of Gonioscope used does not appear to influence these results. If topographically derived Sim K is used to calculate the power of the intraocular lens implant, we recommend waiting a minimum of 20 minutes before measuring the corneal curvature after gonioscopy with either Goldmann or Sussman contact lenses.

Aged↗

[Epidemiology of obesity in adult population of Vojvodina].

INTRODUCTION: The prevalence of overweight and obesity is increasing worldwide at an alarming rate and is due to changes in nutritional patterns and physical activity that adversely affect the health status. Obesity is a complex disorder with multiple interactive causes. It is associated with many chronic, debilitating diseases with important health care cost and it is basically the consequence of sedantery life style and excessive energy intake. Our objective was to measure the prevalence of obesity in adult population of Vojvodina and to describe its characteristics. MATERIAL AND METHODS: This cross-sectional study was conducted in representative sample of 2467 adults from Vojvodina (in adult population of Vojvodina aged 20 years and over). The sample size was determined based on estimated frequency, exposition to risk factors, relative risks and level of statistical significance. All those who completed household interviews attended physical examination. RESULTS: The prevalence of overweight and obesity (BMI> or =25 kg/m2) in both sexes was 58.5%. Among them, 35.5% were overweight while 23% were obese (BMIl30kg/m2). The frequency of obesity was higher among females (26%) than among males (19.6%) (p<0.01). It showed a steady increase to the age of 65, after which the number of obese decreased. The obesity rate was higher in rural (26. 7%) than urban areas (19%) (p<0.01), and among people with lower level of education and socioeconomic status. CONCLUSION: Considering the existing situation concerning the high prevalence of obesity, urgent public action is necessary. It is essential to develop preventive strategies which would affect the whole society. Healthy lifestyle, balanced diet and increased physical activity must be promoted. However, it is not the responsibility of individuals. Health services, the community, food industry, mass media etc, have a crucial role in modifying body weight. Strategies for prevention and management of obesity should be in accordance with the existing public health policy and programs for prevention of noncommunicable diseases.

Adult↗

The design of trials for prevention of IDDM.

Several large clinical trials for the prevention of IDDM in islet cell antibody positive first-degree relatives are planned or underway. The design of these trials rests in part on assumptions about the natural history of autoimmunity during the prediabetic period and on the likely effectiveness of the intervention being tested. At this time, most of the factors that influence the required sample size can only be roughly estimated.

Clinical Trials as Topic↗

Bayesian analysis via Gibbs sampling of susceptibility to intramammary infection in Holstein cattle.

A Bayesian analysis was undertaken to assess the susceptibility of Holsteins to mastitis from 120 to 305 d in milk. Data included 595 lactations from 267 cows. The response variable was presence or absence of intramammary infection; explanatory variables were period and season of calving, somatic cell score, and cow. The logistic model adopted had period and season of calving and the regression on somatic cell score with vague prior distributions, and cow effects had a normal prior with unknown variance sigma u2, which, in turn, had a gamma prior. Implementation was by Gibbs sampling. Posterior densities of location parameters were unimodal and symmetric. The probability of intramammary infection of a sample cow was skewed. The posterior distribution of sigma u2 was skewed also. Gibbs samples of sigma u2 had high lag correlations, which gave an effective sample ranging between 47 and 117 from a chain of size 3000. There were differences between estimates of sigma u2 found using Gibbs sampling and those obtained using approximations. The low information content arising from the small size of the data and the binary nature of the response are reasons for such differences. A sensitivity analysis revealed influences of hyperparameters of the prior distribution of sigma u2 on inferences about this parameter.

Animals↗

Comparison of endoscopic ultrasonography and multidetector computed tomography for detecting and staging pancreatic cancer.

BACKGROUND: Accurate preoperative detection and staging of pancreatic cancer may identify patients with locoregional disease that is amenable to surgical resection. OBJECTIVE: To compare endoscopic ultrasonography and multidetector computed tomography (CT) for the detection, staging, and resectability of known or suspected locoregional pancreatic cancer. DESIGN: Prospective, observational, cohort study. SETTING: Single, tertiary referral hospital in Indianapolis, Indiana. PATIENTS: 120 participants with known or suspected locoregional pancreatic cancer. INTERVENTIONS: Endoscopic ultrasonography followed by multidetector CT was performed in all patients. Patients with known or suspected pancreatic cancer deemed potentially resectable by 1 or both tests were considered for surgery. MEASUREMENTS: Detection, staging, and resectability of pancreatic cancer. Surgically resected pancreatic cancer with negative microscopic histologic margins was considered resectable. RESULTS: Of 120 patients enrolled, 104 (87%) underwent endoscopic ultrasonography and CT. Of the 80 patients with pancreatic cancer, 27 (34%) were managed nonoperatively, and 53 (66%) treated surgically had resectable (n = 25) or unresectable (n = 28) cancer. For the 80 patients with cancer, the sensitivity of endoscopic ultrasonography (98% [95% CI, 91% to 100%]) for detecting a pancreatic mass was greater than that of CT (86% [CI, 77% to 93%]; P = 0.012). For the 53 surgical patients, endoscopic ultrasonography was superior to CT for tumor staging accuracy (67% vs. 41%; P < 0.001) but equivalent for nodal staging accuracy (44% vs. 47%; P > 0.2). Of the 25 resectable pancreatic tumors in patients recommended for surgery, endoscopic ultrasonography and CT correctly identified 88% and 92%, respectively, as resectable. Of the 28 unresectable pancreatic tumors in patients recommended for surgery, endoscopic ultrasonography and CT correctly identified 68% and 64%, respectively, as unresectable. LIMITATIONS: Radiologists who read the scans and endosonographers were not blinded to previous radiographic information. Because of the modest sample size, CIs of the sensitivity estimates were sometimes wide. CONCLUSION: Compared with multidetector CT, endoscopic ultrasonography is superior for tumor detection and staging but similar for nodal staging and resectability of preoperatively suspected nonmetastatic pancreatic cancer.

Adenocarcinoma↗

Testing shelled corn for aflatoxin, Part I: estimation of variance components.

The variability associated with testing lots of shelled corn for aflatoxin was investigated. Eighteen lots of shelled corn were tested for aflatoxin contamination. The total variance associated with testing shelled corn was estimated and partitioned into sampling, sample preparation, and analytical variances. All variances increased as aflatoxin concentration increased. With the use of regression analysis, mathematical expressions were developed to model the relationship between aflatoxin concentration and the total, sampling, sample preparation, and analytical variances. The expressions for these relationships were used to estimate the variance for any sample size, subsample size, and number of analyses for a specific aflatoxin concentration. Test results on a lot with 20 parts per billion aflatoxin using a 1.13 kg sample, a Romer mill, 50 g subsamples, and liquid chromatographic analysis showed that the total, sampling, sample preparation, and analytical variances were 274.9 (CV = 82.9%), 214.0 (CV = 73.1 %), 56.3 (CV = 37.5%), and 4.6 (CV = 10.7%), respectively. The percentage of the total variance for sampling, sample preparation, and analytical was 77.8, 20.5, and 1.7, respectively.

Aflatoxins↗

Using routine data to complement and enhance the results of randomised controlled trials.

BACKGROUND: Randomised controlled trials (RCTs) are widely accepted as the best way to assess the outcomes and safety of medical interventions, but are sometimes not ethical, not feasible, or limited in the generalisability of their results. In such circumstances, routinely available data could help in several ways. Routine data could be used, for example, to conduct 'pseudo-trials', to estimate likely outcomes and required sample size to help design and conduct trials, or to examine whether the expected outcomes observed in an RCT will be realised in the general population. OBJECTIVES: The project was undertaken to explore how routinely assembled hospital data might complement or supplement RCTs to evaluate medical interventions: in contexts where RCTs are not feasible for defining the context and design of an RCT for assessing whether the benefits indicated by RCTs are achieved in wider clinical practice. METHODS: The project was based on the system of linked Scottish morbidity records, which cover 100% of acute hospital care episodes and statutory death records from 1981 to 1995. Three case studies were undertaken as a way of investigating the utility of these records in different applications. First, an attempt was made to analyse the link between the timing of surgery for subarachnoid haemorrhage (SAH) and subsequent outcomes (a question not easily susceptible to RCT design). A subsample was derived by excluding patients for which a diagnosis of SAH may not have been established or that may not have been admitted to a neurosurgical unit, and the data were assessed to attempt to inform the design of a trial of early versus late surgery. Transurethral prostatectomy (TURP), the second case study, has become the surgery of choice for benign prostatic hyperplasia without systematic assessment of its effectiveness and safety, and an RCT would now be considered unethical. However, there is a need to investigate long-term effects and the influence of co-morbidities on outcomes. A retrospective comparison of mortality and re-operation following either open prostatectomy (OPEN) or TURP was, therefore, undertaken. Patients for whom it was not possible to establish the initial procedure were excluded. The third case study compared coronary artery bypass grafting (CABG) with percutaneous transluminal angioplasty (PTCA) for coronary revascularisation. RCTs have been conducted in limited patient subgroups with short follow-up periods. A meta-analysis of RCTs could be augmented by routine data, which are available for large populations. This would allow assessment of subgroup effects, and outcomes over a long period. A subgroup of patients was therefore constructed for whom relevant routine data were available and who reflected the entry criteria for major RCTs, thus enabling a comparison between the results expected from this subgroup and those of the general population. RESULTS AND CONCLUSIONS: The uses of routine data in these contexts had strengths and weaknesses. The SAH study suggested a means of assessing outcomes and survival rates following haemorrhage, which could have value in informing the design of more precise trials and in evaluating changes in outcome following the introduction of new treatments such as embolisation. However, the potential of the data was not realised because their scope and content were insufficient. For example, lack of data on the time of onset of symptoms and patients' conditions at hospital admission made it difficult to establish the link between timing of surgery and the outcome, and there was insufficient information on patients' conditions at discharge to enable a comparison of outcomes. The prostatectomy study was able to address questions not answered by RCT literature because the large number of cases it included allowed exploration of subgroup effects. (ABSTRACT TRUNCATED)

Adult↗

Testing green coffee for ochratoxin A, part I: estimation of variance components.

The variability associated with testing lots of green coffee beans for ochratoxin A (OTA) was investigated. Twenty-five lots of green coffee were tested for OTA contamination. The total variance associated with testing green coffee was estimated and partitioned into sampling, sample preparation, and analytical variances. All variances increased with an increase in OTA concentration. Using regression analysis, mathematical expressions were developed to model the relationship between OTA concentration and the total, sampling, sample preparation, and analytical variances. The expressions for these relationships were used to estimate the variance for any sample size, subsample size, and number of analyses for a specific OTA concentration. Testing a lot with 5 microg/kg OTA using a 1 kg sample, Romer RAS mill, 25 g subsamples, and liquid chromatography analysis, the total, sampling, sample preparation, and analytical variances were 10.75 (coefficient of variation [CV] = 65.6%), 7.80 (CV = 55.8%), 2.84 (CV = 33.7%), and 0.11 (CV = 6.6%), respectively. The total variance for sampling, sample preparation, and analytical were 73, 26, and 1%, respectively.

Algorithms↗

[CK MB versus total CK in the estimation of myocardial necrosis. Comparative kinetic analysis and evaluation of an immunological method].

It has been suggested that the adoption of a relatively specific marker of the myocardial cell, such as creatine kinase MB isoenzyme, can yield improved accuracy in estimating infarct size by serial serum sampling and compartmental analysis. Nevertheless, current methods for the evaluation of isoenzyme activity are cumbersome and unsuitable for clinical use. We have therefore employed a new test for the rapid determination of CK MB activity, based on the immunological inhibition of M subunities. In 19 patients not submitted either to intramuscular injection or to repeated defibrillations, a good correlation was found between indexes of necrosis based on MB and total CK determination (r = 0.94), with the cumulative MB release amounting to 16 +/- 4% of total CK. Significant differences were observed in 3 patients submitted to external cardiac massage (MB = 9 +/- 1% of total CK) thus suggesting a considerable extracardiac source of total CK due to the trauma of the skeletal muscle. The comparative kinetic analysis shows substantial differences between the two isoenzymes, not only concerning the greater disappearance rate of CK MB but, more significantly, related to a faster release of this isoenzyme from the myocardium, which has not been previously reported. The good correlations found between maximal appearance rate and cumulative enzyme release (r = 0.86) suggest that the former may represent an index of the rate of degradation of cellular membranes. Practical implications of these data are discussed.

Creatine Kinase↗

Sequential estimation of linkage between PCR-generated markers and a target gene employing stepwise bulked analysis.

PCR-based markers are used for targeting plant genes. However, mapping these markers requires laborious and expensive analysis of individual genotypes. We propose here a sequential procedure for fine mapping of PCR markers relative to a target gene. Stepwise bulked analysis is employed to get a censored estimation of the recombination rate. The sequential estimation is compared to fixed sample size design. In both cases, the proposed procedure can achieve a substantial reduction in the number of PCR runs (up to 90-97% for close linkage) as compared to the standard individual-by-individual analysis.

Biometry↗

Statistical design of the Women's Health Trial.

The National Cancer Institute has initiated a randomized trial to determine whether a low fat diet can reduce the incidence of breast cancer among women at increased risk for this disease. A feasibility trial involving 303 women has been conducted to examine recruitment strategies, study short-term compliance and, more generally, develop and refine trial procedures. The feasibility trial group also developed a detailed full-scale trial design plan, and randomization of participants to such a trial is currently underway. The purpose of this report is to describe the major design features of this Women's Health Trial, with particular emphasis on the statistical aspects of the design. The trial is planned to last 10 years and to include 32,000 participants. Of these 32,000 women, 12,800 will be assigned to a low fat diet intervention, and the other 19,200 will constitute a control group. The sample size of 32,000 arises from a range of estimates and assumptions pertaining to (a) the incidence of breast cancer at enrollment corresponding to selected eligibility criteria, (b) the relative risk of breast cancer as a function of a woman's history of dietary fat intake, (c) compliance assumptions in terms of average percent fat in the intervention and control groups as a function of time from randomization, and (d) rates of competing causes of death. These estimates and assumptions will be discussed, as will the robustness of the intended sample sizes to departures from such design assumptions.

Aged↗

Uncertainty distribution associated with estimating a proportion in microbial risk assessment.

The uncertainty associated with estimates should be taken into account in quantitative risk assessment. Each input's uncertainty can be characterized through a probabilistic distribution for use under Monte Carlo simulations. In this study, the sampling uncertainty associated with estimating a low proportion on the basis of a small sample size was considered. A common application in microbial risk assessment is the estimation of a prevalence, proportion of contaminated food products, on the basis of few tested units. Three Bayesian approaches (based on beta(0, 0), beta(1/2, 1/2), and beta(l, 1)) and one frequentist approach (based on the frequentist confidence distribution) were compared and evaluated on the basis of simulations. For small samples, we demonstrated some differences between the four tested methods. We concluded that the better method depends on the true proportion of contaminated products, which is by definition unknown in common practice. When no prior information is available, we recommend the beta (1/2, 1/2) prior or the confidence distribution. To illustrate the importance of these differences, the four methods were used in an applied example. We performed two-dimensional Monte Carlo simulations to estimate the proportion of cold smoked salmon packs contaminated by Listeria monocytogenes, one dimension representing within-factory uncertainty, modeled by each of the four studied methods, and the other dimension representing variability between companies.

Algorithms↗

Aspects of the design and analysis of high-dimensional SNP studies for disease risk estimation.

The state of readiness for high-dimensional single nucleotide polymorphism (SNP) epidemiologic association studies is described, as background for a discussion of statistical aspects of case-control study design and analysis. Specifically, the important role that multistage designs can play in the elimination of false-positive associations and in the control of study costs will be noted. Also, the trade-offs associated with using pooled DNA at early design stages for additional important cost reductions will be discussed in some detail. An odds ratio approach to relating SNP alleles to disease risk using pooled DNA will be proposed, in conjunction with a simple empirical variance estimator, based on comparisons among log-odds ratio estimators from distinct pairs of case and control pools. Simulation studies will be presented to evaluate the moderate sample size properties of such multistage designs and estimation procedures. The design of an ongoing three-stage study in the Women's Health Initiative to relate 250,000 SNPs to the risk of coronary heart disease, stroke, and breast cancer will provide illustration, and will be used to motivate the choice of simulation configurations.

Case-Control Studies↗

Asymptotic variances of QTL estimators with selective DNA pooling.

Investigation on QTL-marker linkage usually requires a great number of observed recombinations, inferred from combined analysis of phenotypes and genotypes. To avoid costly individual genotyping, inferences on QTL position and effects can instead make use of marker allele frequencies. DNA pooling of selected samples makes allele frequency estimation feasible for studies involving large sample sizes. Linkage studies in outbred populations have traditionally exploited half-sib family designs; within the animal production context, half-sibships provide large families that are highly suitable for DNA pooling. Estimators for QTL position and effect have been proposed that make use of information from flanking markers. We present formulas derived by the delta method for the asymptotic variance of these estimators.

Chromosome Mapping↗

Internal pilot studies II: comparison of various procedures.

The two-stage design involves sample size recalculation using an interim variance estimate. Stein proposed the design in 1945; biostatisticians recently have shown renewed interest in it. Wittes and Brittain proposed a modification aimed at greater efficiency; Gould and Shih proposed a similar procedure, but with a different interim variance estimate based on blinded data. We compare the power of Stein's original test, an idealized version of the Wittes-Brittain test, and a theoretical optimal test which can be approximated in practice. We also compare two procedures that control the conditional type I error rate given the actual final sample size: Gould and Shih's procedure and a newly proposed 'second segment' procedure. The comparison among the first three procedures indicates that the Stein test is, unexpectedly, the test of choice under the original design alternative, whereas the approximate-optimal and Wittes-Brittain procedures appear to have superior power for detecting smaller treatment differences. As between the latter two procedures, the second segment procedure is more powerful when many observations are likely to be taken after the interim resizing, whereas otherwise the Gould-Shih procedure is superior.

Analysis of Variance↗