Early analysis shows that endoscopic flexor hallucis longus transfer has a promising cost-effectiveness profile in the treatment of acute Achilles tendon ruptures.

PURPOSE: Current options for treating an Achilles tendon rupture (ATR) include conservative and surgical approaches. Endoscopic flexor hallucis longus (FHL) transfer has been recently proposed to treat acute ruptures, but its cost-effectiveness potential remains to be evaluated. Therefore, the objective of this study was to perform an early cost-effectiveness analysis of endoscopic FHL transfer for acute ATRs, comparing the costs and benefits of current treatments from a societal perspective. METHODS: A conceptual model was created, with a decision tree, to outline the main health events during the treatment of an acute ATR. The model was parameterized using secondary data. A systematic review of the literature was conducted to gather information on the outcomes of current treatments. Data related to outcomes of endoscopic FHL transfers in acute Achilles ruptures was obtained from a single prospective study. Analysis was limited to the two first years. The incremental cost-effectiveness ratio was the main outcome used to determine the preferred strategy. A willingness-to-pay threshold of $100,000 per quality-adjusted life-year was used. Sensitivity analyses were performed to determine whether changes in input parameters would cause significant deviation from the reference case results. Specifically, a probability sensitivity analysis was conducted using Monte Carlo simulations, and a one-way sensitivity analysis was conducted by sequentially varying each model parameter within a given range. RESULTS: For the reference case, incremental cost-effectiveness ratios exceeded the willingness-to-pay threshold for all the surgical approaches. Overall, primary treatment was the main cost driver. Conservative treatment showed the highest direct costs related to the treatment of complications. In the probabilistic sensitivity analysis, at a willingness-to-pay threshold of $100,000, open surgery was cost-effective in 50.9%, minimally invasive surgery in 55.8%, and endoscopic FHL transfer in 72% of the iterations. The model was most sensitive to parameters related to treatment utilities, followed by the costs of primary treatments. CONCLUSION: Surgical treatments have a moderate likelihood of being cost-effective at a willingness-to-pay threshold of $100,000, with endoscopic FHL transfer showing the highest likelihood. Following injury, interventions to improve health-related quality of life may be better suited for improved cost-effectiveness. LEVEL OF EVIDENCE: Level III.

Economics of Beta-Cell Replacement Therapy.

PURPOSE OF REVIEW: Type 1 diabetes impacts 1.3 million people in the USA with a total direct lifetime medical cost of $133.7 billion. Management requires a mix of daily exogenous insulin administration and frequent glucose monitoring. Decision-making by the individual can be burdensome. RECENT FINDINGS: Beta-cell replacement, which involves devices protecting cells from autoimmunity and allo-rejection, aims at restoring physiological glucose regulation and improving clinical outcomes in patients. Given the significant burden of T1D in the healthcare systems, cost-effectiveness analyses can drive innovation and policymaking in the area. This review presents the health economics analyses performed for donor-derived islet transplantation and the possible outcomes of stem cell-derived beta cells. Long-term cost-effectiveness of islet transplantation depends on the engraftment of these transplants, and the expenses and thresholds assumed by healthcare systems in different countries. Early health technology assessment analyses for stem cell-derived beta-cell replacement suggest manufacturing optimization is necessary to reduce upfront costs.

Fuzzy Modeling to Predict Severely Depressed Left Ventricular Ejection Fraction following Admission to the Intensive Care Unit Using Clinical Physiology.

Left ventricular ejection fraction (LVEF) constitutes an important physiological parameter for the assessment of cardiac function, particularly in the settings of coronary artery disease and heart failure. This study explores the use of routinely and easily acquired variables in the intensive care unit (ICU) to predict severely depressed LVEF following ICU admission. A retrospective study was conducted. We extracted clinical physiological variables derived from ICU monitoring and available within the MIMIC II database and developed a fuzzy model using sequential feature selection and compared it with the conventional logistic regression (LR) model. Maximum predictive performance was observed using easily acquired ICU variables within 6 hours after admission and satisfactory predictive performance was achieved using variables acquired as early as one hour after admission. The fuzzy model is able to predict LVEF ≤ 25% with an AUC of 0.71 ± 0.07, outperforming the LR model, with an AUC of 0.67 ± 0.07. To the best of the authors' knowledge, this is the first study predicting severely impaired LVEF using multivariate analysis of routinely collected data in the ICU. We recommend inclusion of these findings into triaged management plans that balance urgency with resources and clinical status, particularly for reducing the time of echocardiographic examination.

Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia.

Metformin, a diabetes drug with anti-aging cellular responses, has complex actions that may alter dementia onset. Mixed results are emerging from prior observational studies. To address this complexity, we deploy a causal inference approach accounting for the competing risk of death in emulated clinical trials using two distinct electronic health record systems. In intention-to-treat analyses, metformin use associates with lower hazard of all-cause mortality and lower cause-specific hazard of dementia onset, after accounting for prolonged survival, relative to sulfonylureas. In parallel systems pharmacology studies, the expression of two AD-related proteins, APOE and SPP1, was suppressed by pharmacologic concentrations of metformin in differentiated human neural cells, relative to a sulfonylurea. Together, our findings suggest that metformin might reduce the risk of dementia in diabetes patients through mechanisms beyond glycemic control, and that SPP1 is a candidate biomarker for metformin's action in the brain.

Bringing Stem Cell-Based Therapies for Type 1 Diabetes to the Clinic: Early Insights from Bioprocess Economics and Cost-Effectiveness Analysis.

Differentiation of pluripotent stem cells (PSCs) into ß cells could provide insulin independence for type 1 diabetes (T1D) patients. This approach would reduce the clinical complications that most patients managed on intensive insulin therapy (IIT) face. However, bottlenecks of PSC manufacturing and limited engraftment of encapsulated cells hinder the long-term effectiveness of these therapies. A bioprocess decision-support tool is combined with a disease state-transition model to evaluate the cost-effectiveness of the stem cell-based therapy against IIT. Clinical effectiveness is assessed in quality-adjusted life years (QALYs). Manufacturing costs per patient reduce from $430 000 to $160 000 with optimization of batch size and annual demand. For 96% of the patients, cell therapy improves the quality of life compared to IIT. Cost savings are achieved for 2% of the population through prevention of renal disease. The therapy is cost-effective for 3.4% of patients when a willingness to pay (WTP) of up to $150 000 per QALY is considered. A 75% cost reduction in the cell therapy price increases cost-effectiveness likelihood to 51% at $100 000 per QALY. This study highlights the need for scalable manufacturing platforms for stem cell therapies, as well as to prioritizing access to the therapy to patients with an increased likelihood of costly complications.

Trends in the use and role of biomarkers in phase I oncology trials.

PURPOSE: There has been interest in using biomarkers that aid the evaluation of new anticancer agents. We evaluated trends in the use of biomarkers and their contribution to the main goals of phase I trials. EXPERIMENTAL DESIGN: We did a systematic review of abstracts submitted to the American Society of Clinical Oncology annual meeting from 1991 to 2002 and the publications related to these abstracts. We analyzed the use of biomarkers and their contribution to published phase I trials. RESULTS: Twenty percent of American Society of Clinical Oncology phase I abstracts (503 of 2458) from 1991 to 2002 included biomarkers. This proportion increased over time (14% in 1991 compared with 26% in 2002; P < 0.02). Independent predictors of the use of biomarkers included National Cancer Institute sponsorship, submission in the time period of 1999 to 2002, adult population, and drug family (biological agents). Biomarkers supported dose selection for phase II studies in 11 of 87 of the trials (13%) emanating from these abstracts. However, the primary determinants of phase II dose and schedule were toxicity and/or efficacy in all but one of these 87 trials (1%). Biomarker studies provided evidence supporting the proposed mechanism of action in 34 of 87 of the published trials (39%). CONCLUSIONS: The use of biomarkers in phase I trials has increased over the period from 1991 to 2002. To date, biomarker utilization has made a limited and primarily supportive contribution to dose selection, the primary end point of phase I studies. Additional studies are needed to determine what type of biomarker information is most valuable to evaluate in phase I trials.

Modeling biological and economic uncertainty on cell therapy manufacturing: the choice of culture media supplementation.

AIM: To evaluate the cost-effectiveness of autologous cell therapy manufacturing in xeno-free conditions. MATERIALS & METHODS: Published data on the isolation and expansion of mesenchymal stem/stromal cells introduced donor, multipassage and culture media variability on cell yields and process times on adherent culture flasks to drive cost simulation of a scale-out campaign of 1000 doses of 75 million cells each in a 400 square meter Good Manufacturing Practices facility. RESULTS & CONCLUSION: Passage numbers in the expansion step are strongly associated with isolation cell yield and drive cost increases per donor of $1970 and 2802 for fetal bovine serum and human platelet lysate. Human platelet lysate decreases passage numbers and process costs in 94.5 and 97% of donors through lower facility and labor costs. Cost savings are maintained with full equipment depreciation and higher numbers of cells per dose, highlighting the number of cells per passage step as the key cost driver.

Off-label prescribing among office-based physicians.

BACKGROUND: Unlike medicines prescribed for Food and Drug Administration-approved indications, off-label uses may lack rigorous scientific scrutiny. Despite concerns about patient safety and costs to the health care system, little is known about the frequency of off-label drug use or the degree of scientific evidence supporting this practice. METHODS: We used nationally representative data from the 2001 IMS Health National Disease and Therapeutic Index (NDTI) to define prescribing patterns by diagnosis for 160 commonly prescribed drugs. Each reported drug-diagnosis combination was identified as Food and Drug Administration-approved, off-label with strong scientific support, or off-label with limited or no scientific support. Outcome measures included (1) the proportion of uses that were off-label and (2) the proportion of off-label uses supported by strong scientific evidence. Multivariate analyses were used to identify drug-specific characteristics predictive of increased off-label use. RESULTS: In 2001, there were an estimated 150 million (95% confidence interval, 127-173 million) off-label mentions (21% of overall use) among the sampled medications. Off-label use was most common among cardiac medications (46%, excluding antihyperlipidemic and antihypertensive agents) and anticonvulsants (46%), whereas gabapentin (83%) and amitriptyline hydrochloride (81%) had the greatest proportion of off-label use among specific medications. Most off-label drug mentions (73%; 95% confidence interval, 61%-84%) had little or no scientific support. Although several functional classes were associated with increased off-label use (P<.05), few other drug characteristics predicted off-label prescription. CONCLUSIONS: Off-label medication use is common in outpatient care, and most occurs without scientific support. Efforts should be made to scrutinize underevaluated off-label prescribing that compromises patient safety or represents wasteful medication use.

Medical Students Who Pursue a Joint MD/MBA Degree: Who Are They and Where Are They Heading?

Increasingly, health care is being delivered in large, complex organizations, and physicians must learn to function effectively in them. As a result, several medical and business schools have developed joint programs to train physician leaders who receive both medical degree (MD) and master of business administration (MBA) degrees. We examined several themes in relation to these programs, revolving around concerns about who is attracted to them and whether exposure to the differing cultures of medicine and business have an impact on the professional identities of their graduates as manifested in their motivations, aspirations, and careers. We addressed these issues by studying students in the joint MD/MBA program at Harvard Medical School (HMS) and Harvard Business School (HBS). Our data came from several internal sources and a survey of all students enrolled in the joint program in spring 2013. We found relatively few differences between joint program students and equivalent cohorts of HMS students in terms of personal characteristics, preadmission performance, and performance at HMS and HBS. Contrary to the concerns that such programs may draw students away from medicine, the vast majority embraced careers involving extensive postgraduate medical training, with long-term plans that leveraged their new perspectives and skills to improve health care delivery.

Nosocomial amplification of MERS-coronavirus in South Korea, 2015.

Background: Nosocomial amplification resulted in nearly 200 cases of Middle East respiratory syndrome (MERS) during the 2015 South Korean MERS-coronavirus outbreak. It remains unclear whether certain types of cases were more likely to cause secondary infections than others, and if so, why. Methods: Publicly available demographic and transmission network data for all cases were collected from the Ministry of Health and Welfare. Statistical analyses were conducted to determine the relationship between demographic characteristics and the likelihood of human-to-human transmission. Findings from the statistical analyses were used to inform a hypothesis-directed literature review, through which mechanistic explanations for nosocomial amplification were developed. Results: Cases that failed to recover from MERS were more likely to cause secondary infections than those that did. Increased probability of direct, human-to-human transmission due to clinical manifestations associated with death, as well as indirect transmission via environmental contamination (e.g., fomites and indoor ventilation systems), may serve as mechanistic explanations for nosocomial amplification of MERS-coronavirus in South Korea. Conclusions: In addition to closely monitoring contacts of MERS cases that fail to recover during future nosocomial outbreaks, potential fomites with which they may have had contact should be sanitized. Furthermore, indoor ventilation systems that minimize recirculation of pathogen-bearing droplets should be implemented whenever possible.

A framework to evaluate the economic impact of pharmacogenomics.

INTRODUCTION: Pharmacogenomics and personalized medicine promise to improve healthcare by increasing drug efficacy and minimizing side effects. There may also be substantial savings realized by eliminating costs associated with failed treatment. This paper describes a framework using health claims data for analyzing the potential value of pharmacogenomic testing in clinical practice. METHODS: We evaluated a model of alternate clinical strategies using asthma patients' data from a retrospective health claims database to determine a potential cost offset. We estimated the likely cost impact of using a hypothetical pharmacogenomic test to determine a preferred initial therapy. We compared the annualized per patient costs distributions under two clinical strategies: testing all patients for a nonresponse genotype prior to treating and testing none. RESULTS: In the Test All strategy, more patients fall into lower cost ranges of the distribution. In our base case (15% phenotype prevalence, 200 US dollars test, 74% overall first-line treatment efficacy and 60% second-line therapy efficacy) the cost savings per patient for a typical run of the testing strategy simulation ranged from 200 US dollars to 767 US dollars (5th and 95th percentile). Genetic variant prevalence, test cost and the cost of choosing the wrong treatment are key parameters in the economic viability of pharmacogenomics in clinical practice. CONCLUSIONS: A general tool for predicting the impact of pharmacogenomic-based diagnostic tests on healthcare costs in asthma patients suggests that upfront testing costs are likely offset by avoided nonresponse costs. We suggest that similar analyses for decision making could be undertaken using claims data in which a population can be stratified by response to a drug.

Prescriber intent, off-label usage, and early discontinuation of antidepressants: a retrospective physician survey and data analysis.

BACKGROUND: Many patients discontinue antidepressant therapy long before the 6-month minimum duration recommended for the treatment of major depression and many other diagnoses. We explore various possibilities, including prescriber intent and patient diagnosis, to explain some of this early discontinuation. METHOD: Patients from a single health maintenance organization who filled at least 1 prescription for an antidepressant during the first 4 months of 2001 and who did not fill an antidepressant prescription in the 6 months prior were identified retrospectively. Prescribers of those patients' antidepressants were surveyed for patient diagnosis and length of intended treatment with antidepressant medication. Actual length of treatment was then obtained from pharmacy data and correlated with survey data and other variables. RESULTS: Prescriber surveys were returned for 51% (485/951) of the patients identified. Surveys indicated that for 34% of initial antidepressant prescriptions, < 6 months of treatment was intended. Important determinants of the length of antidepressant therapy included prescriber specialty area, number of prescribers, prescriber intent, diagnosis, specific antidepressant used, and concomitant benzodiazepine use. CONCLUSIONS: Prescriber intention to treat many patients with short courses of antidepressants, often for off-label, non-mental health indications, was correlated with early discontinuation and needs further study of both its rationale and efficacy. Although less prevalent, short-term treatment of mental health disorders, including depression, was also intended by psychiatrists and other prescribers. The widespread practice of intended short-term treatment with antidepressants needs to be understood better, since it results in guideline-incompatible, early antidepressant discontinuation.

A statistical analysis of the magnitude and composition of drug promotion in the United States in 1998.

BACKGROUND: Although pharmaceutical industry marketing and other factors may influence physician decisions regarding medication prescribing in the United States, little information is available about the composition of promotional efforts by promotional mode and medication class. OBJECTIVES: The aims of this study were to determine the magnitude of expenditures for common modes of promotion and to delineate patterns of promotional strategies for particular classes of medications. METHODS: Nationally representative data on expenditures (in US $) for the 250 most promoted medications in the United States in 1998 were available from an independent pharmaceutical market research company for the 5 most commonly used modes of promotion. Key patterns of drug promotion were identified by descriptive statistics, a cluster analysis of expenditures by class, and an analysis of expenditure concentration. RESULTS: In 1998, the pharmaceutical industry spent $12,724 million promoting its products in the United States, of which 85.9% was accounted for by the top 250 drugs and 51.6% by the top 50 drugs. Direct-to-consumer (DTC) advertising was more concentrated on a small subset of medications than was promotion to professionals. Overall, 1998 expenditures were dominated by free drug samples provided to physicians (equivalent retail cost of $6602 million) and office promotion ($3537 million), followed by DTC advertising ($1337 million), hospital promotion ($705 million), and advertising in medical journals ($540 million). Four distinct patterns of expenditures were observed: promotion to office physicians with little consumer promotion (14 drug classes); dual focus on office physicians and consumer advertising (4 drug classes); predominant DTC advertising (1 class: smoking-cessation products); and promotion to office- and hospital-based professionals without consumer advertising (1 class: narcotic analgesics). CONCLUSIONS: The present findings reinforce the perception that the pharmaceutical industry invests heavily in promoting its products and demonstrates that promotional expenditures are concentrated on a small number of medications. Although promotion to professionals remains dominant, DTC advertising has become key for a subset of common medications

The use of disease-modifying new drugs for multiple sclerosis treatment in private-sector health plans.

OBJECTIVES: The aims of this study were to estimate the effects of demographics, location, severity of multiple sclerosis (MS), comorbidities, plan type, coinsurance levels, and time of entry into the sample on the use of disease-modifying agents. METHODS: A retrospective analysis of medical claims data from 1996 through 2000 was conducted with a sample of MS patients covered by self-insured, employer-sponsored health plans. Proportional hazard analysis with the SAS procedure for proportional hazards regression was used to estimate the impact of the factors of interest on the use of disease-modifying agents. A simulation was conducted to assess the impact of changing drug copayments on the use of disease-modifying agents for MS. RESULTS: The sample included 1807 patients. Patients were followed for as long as possible, but most were observed for <3 years; the mean (SD) follow-up time was 972.88 (440.59) days. Most factors associated with the use of disease-modifying agents were immutable. They included the following: high severity of illness (only marginally related; P = NS); history of seizures (P = 0.03), depression (P < 0.01), or heart disease (P = 0.01); census region of location (P < 0.01); union membership or association with a union member (P < 0.01); drug copayment requirements (P < 0.05); and year of entry into the sample (P < 0.01). In the simulation, a 50% reduction in drug copayments was associated with an increase of the proportion of patients treated with disease-modifying drugs from 41.2% to 54.7%. Patients' and physicians' preferences for treatment could not be measured directly. The true onset of MS may be unknown for many patients, but this would be the case even if medical records or other data were used for this study. CONCLUSIONS: Our analyses showed an association between copayments and the use of disease-modifying drugs for MS. Insurance policies can be tailored to influence the use of disease-modifying drugs, enhancing the quality of care for MS patients and reducing price-related barriers to beneficial treatment. Future research should test whether reducing copayments for MS treatment would reduce the use of other health care services (via better MS treatment that modifies the course of illness), or whether the use of disease-modifying drugs would increase total costs to the plan, resulting in slightly higher premiums.

Costs of antidepressant medications associated with inadequate treatment.

OBJECTIVE: To determine the costs of antidepressant medications used during inadequate treatment. STUDY DESIGN: Retrospective database analysis of pharmacy claims made by patients who were treated under routine clinical conditions from July 1, 1999, through September 30, 2002. PATIENTS AND METHODS: Our participants included 21,632 patients enrolled in a commercial HMO who had a primary care physician associated with our healthcare system. Patients never receiving at least a minimum likely effective antidepressant dose for at least 90 days were defined as having inadequate treatment. This study calculated the costs of antidepressants involved with inadequate treatment at the level of the patient and the medication trial. RESULTS: A majority of patients (51%) received inadequate treatment. Of overall antidepressant costs, 16% were incurred during trials for patients never adequately treated. The majority of inadequate trials were short and unlikely to have been effective. Most patients (64%) had only a single trial of antidepressants. Venlafaxine, fluoxetine, and sertraline had significantly lower first-trial inadequacy rates compared with the most commonly prescribed agent, citalopram. CONCLUSIONS: Improved patient care quality and lower antidepressant costs could result if clinicians and healthcare systems focus on reducing short trial rates. Initiating treatment with agents least likely to be discontinued prematurely may be helpful.

National Patterns of Medication Treatment for Depression, 1987 to 2001.

BACKGROUND: We investigated trends in antidepressant use, as well as broader changes in depression treatment, following the availability of selective serotonin reuptake inhibitors (SSRIs). METHOD: Using data from the National Disease and Therapeutic Index, a nationally representative survey of U.S. office-based physicians conducted by IMS HEALTH, we analyzed trends in antidepressant prescribing patterns from 1987 through the third quarter of 2001. Annual sample sizes of physician visits by patients reported to have depression ranged from 3901 visits in 1987 to 6639 in 1998. Outcomes examined included the frequency of depression visits, the likelihood of antidepressant therapy, and the use of specific medications. RESULTS: The estimated national number of physician visits by patients with depression increased from 14.4 million visits in 1987 to 24.5 million in 2001 (annualized). The rate of antidepressant medication treatment in these patients also increased from 70% in 1987 to 89% in 2001. In 1987, tricyclic antidepressants were prescribed to 47% of patients with depression. The most common individual antidepressants were amitriptyline (14%), trazodone (12%), doxepin (8%), and desipramine (6%). In 1989, a year after its introduction, fluoxetine was prescribed to 21% of patients with depression. The introduction of other SSRIs led aggregate SSRI use to grow to 38% in 1992, 60% in 1996, and 69% in 2000. In 2001, sertraline (18%), paroxetine (16%), fluoxetine (14%), citalopram (13%), and bupropion (9%) were the leading antidepressants, while tricyclics were used in only 2% of patients. The use of benzodiazepines in depression declined from 21% of patients in 1987 to 8% in 2001. CONCLUSION: The increasing therapeutic dominance of SSRIs may have contributed to other changes in depression treatment, including declining benzodiazepine use, increased aggregate antidepressant treatment rates, and increased reporting of depression.

Impact of clinical trial results on national trends in alpha-blocker prescribing, 1996-2002.

CONTEXT: Research on factors that influence prescribing patterns and the extent of change produced by clinical trial findings is limited. OBJECTIVE: To examine the changes in prescribing of alpha-blockers for hypertension treatment before and after the April 2000 publication of the unfavorable Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT) early termination involving the study's doxazosin mesylate arm. Changes in prescribing were considered in the context of other potential concurrent influences on medication use between 1996 and 2002, including changes in alpha-blocker drug prices, generic conversion, drug promotion, and competition. DESIGN, SETTING, AND PATIENTS: Using 2 national pharmaceutical market research reports published by IMS HEALTH, alpha-blocker prescription orders reported in the National Prescription Audit-a random computerized sample of about 20 000 of 29 000 retail, independent, and mail order pharmacies and mass merchandise and discount houses--and office-based physician alpha-blocker prescribing patterns reported in the National Disease and Therapeutic Index--a random stratified sample of about 3500 physician offices--were tracked. OUTCOME MEASURES: Trends in physician-reported use of alpha-blockers and alpha-blocker prescribing and dispensing by US pharmacies. RESULTS: There were steady increases in alpha-blocker new prescriptions, dispensed prescriptions, and physician drug use from 1996 through 1999. There was a moderate reversal in these trends following ALLHAT early termination and subsequent publications in early 2000. Between 1999 and 2002, new annual alpha-blocker prescription orders declined by 26% (from 5.15 million to 3.79 million), dispensed prescriptions by 22% (from 17.2 million to 13.4 million), and physician-reported drug use by 54% (from 2.26 million to 1.03 million). Other potential influences did not appear to have contributed significantly to this decline although cessation of alpha-blocker marketing may have hastened the decline. CONCLUSIONS: Modest yet statistically significant declines in the use of doxazosin and other alpha-blockers coincided with the early termination of the ALLHAT doxazosin arm. Although physicians responded to this new evidence, strategies to augment the impact of clinical trials on clinical practice are warranted.

Trends in the risks and benefits to patients with cancer participating in phase 1 clinical trials.

CONTEXT: In the past, cancer patients entering phase 1 studies confronted the prospects of high risk and unlikely benefit. Over the last decade, cancer drugs under development have become more targeted, and the clinical research environment has become more scrutinized. The impact of these changes on the risks and benefits to patients who participate in phase 1 cancer trials is unknown. OBJECTIVE: To determine trends in the rates of treatment-related (toxic) death, objective response, and serious toxicity and to identify factors associated with these outcomes. DATA SOURCES: We searched abstracts and journal articles reporting the results of phase 1 cancer treatment trials originally submitted to annual meetings of the American Society of Clinical Oncology (ASCO) from 1991 through 2002. STUDY SELECTION: We focused on published single-agent trials that enrolled patients with advanced solid tumors and excluded studies testing agents already approved by the US Food and Drug Administration at the time of the ASCO presentation. DATA EXTRACTION: Multiple observers independently extracted information on trial design, location, sponsorship, types of tumors treated, drug class, route of administration, and clinical outcomes. DATA SYNTHESIS: The overall toxic death rate for 213 studies (involving 6474 cancer patients) published in peer-reviewed journals was 0.54%, while the overall objective response rate was 3.8%. Toxic death rates decreased over the study period, from 1.1% over the first 4 years of the study (1991-1994) to 0.06% over the most recent 4-year period (1999-2002) (P<.01). Response rates also decreased but by proportionally much less. After adjusting for characteristics of the experimental trials and the investigational agents, the odds of a patient dying from an experimental treatment while participating in a trial submitted during the most recent 4-year period were less than one tenth those of a patient participating in a trial submitted during the first 4-year period (odds ratio, 0.09; 95% confidence interval, 0.01-0.67; P = .009). In comparison, the adjusted odds of a patient experiencing an objective response over the same time periods decreased by approximately half (odds ratio, 0.46; 95% confidence interval, 0.32-0.66; P<.001). CONCLUSIONS: The level of risk experienced by cancer patients who participate in phase 1 treatment trials appears to have improved over the 12-year period from 1991 through 2002. Because toxic death rates have decreased more quickly than have objective response rates, the ratio of risk to benefit may have also improved. These changes relate in part to the targeted and less-toxic nature of newer cancer drugs and are coincident with the increased attention that has been paid to the safety of clinical research over the time period we analyzed.

Treatment costs of venlafaxine and selective serotonin-reuptake inhibitors for depression and anxiety.

In this article, health care expenditures are assessed for patients diagnosed with depression who are being treated with either venlafaxine (immediate or extended release) or a selective serotonin-reuptake inhibitor (SSRI). Patients beginning treatment for a new depressive episode were identified retrospectively from 1994 to 1998. Before beginning therapy, patients prescribed venlafaxine (N = 353) had more nonmental illnesses (0.84 vs. 0.75 clinical events/patient, respectively; P < .01) and hospitalizations for mental illness (0.56 vs. 0.30 hospitalizations/patient; P = .06) than patients prescribed SSRIs (N = 7,330). In the six months after initiating treatment, venlafaxine was associated with lower hospitalization expenditures for nonmental illness than were SSRIs ($206 vs. $472, respectively; P = .02), but total health care expenditures were not significantly different.