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1.  Educational Gradients in Psychotropic Medication Use Among Older Adults in Costa Rica and the United States† 
Objective
The relationship among education, psychiatric diagnoses and psychotropic medication use has been explored in the United States, but little is known about patterns in poorer countries, despite their high documented burden of mental illness. Educational gradients in diagnosis and psychotropic use were estimated in the United States and Costa Rica – a middle-income country with universal health insurance.
Methods
Analyses were conducted using data on older adults (ages 60+) in nationally representative surveys from each country: the 2005 U.S. Medical Expenditures Panel Survey (n=4788) and the 2005 Costa Rican Longevity and Healthy Aging Study (n=2827). Logistic regressions examined the effect of lower educational attainment, income and urban residence on diagnosis and on psychotropic medication use with and without an associated mental illness diagnosis.
Results
Rates of self-reported diagnoses were lower in the U.S. (12% U.S.; n=598) than in, Costa Rica (20%; n=526), but may reflect differences in survey wording. Measures of self-reported and screened depression decreased with education in both countries. Psychotropic medication use among those with diagnoses increased with education in Costa Rica only.
Conclusions
We find similar patterns of educational gradients in diagnosis and screening between the U.S. and Costa Rica, but different patterns of medication use by education. Differences in stigma and access to care may play an important role in explaining differences between the countries, though we did not find evidence that insurance affected educational gradients in the U.S. These analyses increase the evidence on the role of education in the use of the health care system.
doi:10.1176/appi.ps.201300092
PMCID: PMC4183704  PMID: 24932755
2.  Treatment of hyperprolactinemia: a systematic review and meta-analysis 
Systematic Reviews  2012;1:33.
Background
Hyperprolactinemia is a common endocrine disorder that can be associated with significant morbidity. We conducted a systematic review and meta-analyses of outcomes of hyperprolactinemic patients, including microadenomas and macroadenomas, to provide evidence-based recommendations for practitioners. Through this review, we aimed to compare efficacy and adverse effects of medications, surgery and radiotherapy in the treatment of hyperprolactinemia.
Methods
We searched electronic databases, reviewed bibliographies of included articles, and contacted experts in the field. Eligible studies provided longitudinal follow-up of patients with hyperprolactinemia and evaluated outcomes of interest. We collected descriptive, quality and outcome data (tumor growth, visual field defects, infertility, sexual dysfunction, amenorrhea/oligomenorrhea and prolactin levels).
Results
After review, 8 randomized and 178 nonrandomized studies (over 3,000 patients) met inclusion criteria. Compared to no treatment, dopamine agonists significantly reduced prolactin level (weighted mean difference, -45; 95% confidence interval, -77 to −11) and the likelihood of persistent hyperprolactinemia (relative risk, 0.90; 95% confidence interval, 0.81 to 0.99). Cabergoline was more effective than bromocriptine in reducing persistent hyperprolactinemia, amenorrhea/oligomenorrhea, and galactorrhea. A large body of noncomparative literature showed dopamine agonists improved other patient-important outcomes. Low-to-moderate quality evidence supports improved outcomes with surgery and radiotherapy compared to no treatment in patients who were resistant to or intolerant of dopamine agonists.
Conclusion
Our results provide evidence to support the use of dopamine agonists in reducing prolactin levels and persistent hyperprolactinemia, with cabergoline proving more efficacious than bromocriptine. Radiotherapy and surgery are useful in patients with resistance or intolerance to dopamine agonists.
doi:10.1186/2046-4053-1-33
PMCID: PMC3483691  PMID: 22828169
Treatment; Hyperprolactinemia; Macroprolactinoma; Microprolactinoma
3.  The association of hypertriglyceridemia with cardiovascular events and pancreatitis: a systematic review and meta-analysis 
Background
Hypertriglyceridemia may be associated with important complications. The aim of this study is to estimate the magnitude of association and quality of supporting evidence linking hypertriglyceridemia to cardiovascular events and pancreatitis.
Methods
We conducted a systematic review of multiple electronic bibliographic databases and subsequent meta-analysis using a random effects model. Studies eligible for this review followed patients longitudinally and evaluated quantitatively the association of fasting hypertriglyceridemia with the outcomes of interest. Reviewers working independently and in duplicate reviewed studies and extracted data.
Results
35 studies provided data sufficient for meta-analysis. The quality of these observational studies was moderate to low with fair level of multivariable adjustments and adequate exposure and outcome ascertainment. Fasting hypertriglyceridemia was significantly associated with cardiovascular death (odds ratios (OR) 1.80; 95% confidence interval (CI) 1.31-2.49), cardiovascular events (OR, 1.37; 95% CI, 1.23-1.53), myocardial infarction (OR, 1.31; 95% CI, 1.15-1.49), and pancreatitis (OR, 3.96; 95% CI, 1.27-12.34, in one study only). The association with all-cause mortality was not statistically significant.
Conclusions
The current evidence suggests that fasting hypertriglyceridemia is associated with increased risk of cardiovascular death, MI, cardiovascular events, and possibly acute pancreatitis.
Précis: hypertriglyceridemia is associated with increased risk of cardiovascular death, MI, cardiovascular events, and possibly acute pancreatitis
doi:10.1186/1472-6823-12-2
PMCID: PMC3342117  PMID: 22463676
Hypertriglyceridemia; Cardiovascular disease; Pancreatitis; Systematic reviews and meta-analysis
4.  Stopping randomized trials early for benefit: a protocol of the Study Of Trial Policy Of Interim Truncation-2 (STOPIT-2) 
Trials  2009;10:49.
Background
Randomized clinical trials (RCTs) stopped early for benefit often receive great attention and affect clinical practice, but pose interpretational challenges for clinicians, researchers, and policy makers. Because the decision to stop the trial may arise from catching the treatment effect at a random high, truncated RCTs (tRCTs) may overestimate the true treatment effect. The Study Of Trial Policy Of Interim Truncation (STOPIT-1), which systematically reviewed the epidemiology and reporting quality of tRCTs, found that such trials are becoming more common, but that reporting of stopping rules and decisions were often deficient. Most importantly, treatment effects were often implausibly large and inversely related to the number of the events accrued. The aim of STOPIT-2 is to determine the magnitude and determinants of possible bias introduced by stopping RCTs early for benefit.
Methods/Design
We will use sensitive strategies to search for systematic reviews addressing the same clinical question as each of the tRCTs identified in STOPIT-1 and in a subsequent literature search. We will check all RCTs included in each systematic review to determine their similarity to the index tRCT in terms of participants, interventions, and outcome definition, and conduct new meta-analyses addressing the outcome that led to early termination of the tRCT. For each pair of tRCT and systematic review of corresponding non-tRCTs we will estimate the ratio of relative risks, and hence estimate the degree of bias. We will use hierarchical multivariable regression to determine the factors associated with the magnitude of this ratio. Factors explored will include the presence and quality of a stopping rule, the methodological quality of the trials, and the number of total events that had occurred at the time of truncation.
Finally, we will evaluate whether Bayesian methods using conservative informative priors to "regress to the mean" overoptimistic tRCTs can correct observed biases.
Discussion
A better understanding of the extent to which tRCTs exaggerate treatment effects and of the factors associated with the magnitude of this bias can optimize trial design and data monitoring charters, and may aid in the interpretation of the results from trials stopped early for benefit.
doi:10.1186/1745-6215-10-49
PMCID: PMC2723099  PMID: 19580665

Results 1-4 (4)