Biomedical subjects

R Shachter

Publications and source records attributed to R Shachter.

6 recordsLinked to original sources

PubMed2000

A Bayesian network for mammography.

The interpretation of a mammogram and decisions based on it involve reasoning and management of uncertainty. The wide variation of training and practice among radiologists results in significant variability in screening performance with attendant cost and efficacy consequences. We have created a Bayesian belief network to integrate the findings on a mammogram, based on the standardized lexicon developed for mammography, the Breast Imaging Reporting And Data System (BI-RADS). Our goal in creating this network is to explore the probabilistic underpinnings of this lexicon as well as standardize mammographic decision-making to the level of expert knowledge.

Adult↗

PubMed1999

Helicobacter pylori vaccine development and use: a cost-effectiveness analysis using the Institute of Medicine Methodology.

BACKGROUND: Prophylactic vaccination has been suggested as a better strategy than antibiotics to control Helicobacter pylori infection. We evaluated the cost-effectiveness (CE) of H. pylori vaccine development and use in the United States and developing countries, using a method developed by the Institute of Medicine (IOM). METHODS: The IOM model includes costs of vaccine development, vaccination program, and averted medical treatments; morbidity and mortality prevented; expected efficacy and use; and proportion of disease that is vaccine-preventable. The model employs infant mortality equivalence (IME) to estimate disease burden; with IME, the societal cost of infection-related morbidity is expressed as equivalent to a specific rate of infant deaths. We tested model assumptions by univariate sensitivity analyses. RESULTS: In the United States, H. pylori vaccine would save 1,176 IME and would cost $58.71 million (1997 dollars) annually, yielding a CE ratio of $49,932 per IME; the health benefits would exceed all IOM-studied vaccines, even when efficacy dropped to 55%. H. pylori vaccine could be cost-saving if priced at less than $60 per course. In developing countries, H. pylori vaccine would rank unfavorably both in terms of health benefits (33,518 IME) and costs ($5,254 million). None of the changes in assumptions improved significantly the H. pylori vaccine's ranking relative to other IOM-studied vaccines. CONCLUSIONS: Compared to other vaccines evaluated in the IOM study, H. pylori vaccine warrants public resource allocation for accelerated development and use in the United States but not for use in developing countries.

Adolescent↗

PubMed1990

A Bayesian method for synthesizing evidence. The Confidence Profile Method.

This article describes a collection of meta-analysis techniques based on Bayesian statistics for interpreting, adjusting, and combining evidence to estimate parameters and outcomes important to the assessment of health technologies. The result of an analysis by the Confidence Profile Method is a joint posterior probability distribution for the parameters of interest, from which marginal distributions for any particular parameter can be calculated. The method can be used to analyze problems involving a variety of types of outcomes, a variety of measures of effect, and a variety of experimental designs. This article presents the elements necessary for analysis, including prior distributions, likelihood functions, and specific models for experimental designs that include adjustment for biases.

Bayes Theorem↗

PubMedDate not supplied

Efficient scheduling of cystoscopies in monitoring for recurrent bladder cancer.

Proper timing for repeated evaluations is difficult to assess. The authors analyzed scheduling of cystoscopy to monitor patients for detection of recurrent bladder cancer assuming that 1) minimizing tumor detection delay helps prevent cancer morbidities; 2) only limited numbers of cystoscopies are available; 3) prediction of recurrence or progression to invasive cancer is uncertain; 4) future tumors recur according to a Poisson process. Assumptions 3 and 4 permit estimation of each patient's recurrence rate. Thus, patients may be compared according to their relative risks of future tumors. With these assumptions, nonlinear optimization theory was used to calculate monitoring schedules for a model practice. Given 5.4 available visits per week per 100 patients, cystoscopy was recommended in 9-11 weeks for high-risk patients and in 30-40 weeks for low-risk patients, depending on stages, grades, and numbers of previous tumors. In contrast, standard cystoscopy was recommended in 13, 26, or 52 weeks, depending only on time elapsed since last recurrence. The calculated schedule implied an average detection delay for potentially invasive tumors of eight weeks, while standard practice led to detection delays of 11 weeks (38% worse). These results suggest that inclusion of each patient's tumor history in an optimization approach may improve follow-up care for patients who have superficial bladder cancers. This approach is being evaluated in a larger clinical setting.

Appointments and Schedules↗

PubMedDate not supplied

An introduction to a Bayesian method for meta-analysis: The confidence profile method.

The Confidence Profile Method is a new Bayesian method that can be used to assess technologies where the available evidence involves a variety of experimental designs, types of outcomes, and effect measures; a variety of biases; combinations of biases and nested bases; uncertainty about biases; an underlying variability in the parameter of interest; indirect evidence; and technology families. The result of an analysis with the Confidence Profile Method is a posterior distribution for the parameter of interest, posterior distributions for other parameters, and a covariance matrix for all the parameters in the model. The posterior distributions incorporate all the uncertainty the assessor chooses to describe about any of the parameters used in the analysis.

Bayes Theorem↗

PubMedDate not supplied

Evaluation of nonlinear optimization for scheduling of follow-up cystoscopies to detect recurrent bladder cancer. The Bladder Cancer follow-up Group.

Standard recommendations for patients who have had superficial bladder cancer are inspection by cystoscopy quarterly for a year or two after tumor removal, then half-yearly and yearly. The authors assessed the potential for improvement in scheduling cystoscopies according to probabilistic optimization techniques. Eight hypothetical practices were created, based on retrospective analysis of 918 bladder-cancer-patient charts. Standard and alternative recommendations for the interval to next cystoscopy were compared. The alternatives were derived from patient-specific predictions of future tumor risks (based on the patient's prior recurrence rate and tumor stage and grade) and a nonlinear optimization approach to allocation of the same number of cystoscopies as were available for standard follow-up. The optimization proposed longer intervals between visits for low-risk patients and shorter intervals for high-risk patients. Overall, optimization reduced expected tumor detection delays by 30%, from 12.6 to 8.7 weeks. When optimization intervals were shorter than standard, cancer was found more often at subsequent cystoscopies (34% vs 27%, p less than 0.05), suggesting that the optimization was a better predictor of cancer recurrence. If reduction in tumor-detection delay is the goal of follow-up for recurrent cancers, then urologists can improve monitoring by using probabilistic optimization methods for scheduling cystoscopies. Further understanding of the accuracy of predictive models for bladder-cancer recurrence rates is desirable. Subsequently, the optimization method developed here may be tested prospectively.

Aftercare↗