Publications by authors named "Thomas A Trikalinos"

Objectives: The study identifies and summarizes information from manuscripts using simulation models for Bladder Cancer (BCA) research.

Methods: We conducted and presented results of a systematic literature search of Medline, Web of Science, and Google scholar, following the PRISMA guidelines for scoping reviews. We summarized extracted key components of the methodology, data sources, and software used for the development of simulation models and classify eligible articles in terms of the study objectives and conclusions.

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The Age-Friendly Health System (AFHS) movement has spread widely in recent years, with nearly 5000 healthcare organizations across the country recognized as Age-Friendly. Despite this broad recognition, there is little focus on how AFHS are implemented and the impact of implementation. The objectives of this study were to describe the strategies employed to support AFHS implementation in outpatient settings and to identify the measures used to evaluate implementation and effectiveness.

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Context: Treatments for obsessive-compulsive disorder (OCD) in children and adolescents.

Objective: Evaluate the comparative efficacy of behavioral and pharmacologic treatments.

Data Sources: Six databases and ClinicalTrials.

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Context: Children and adolescents with suspected obsessive-compulsive disorder (OCD).

Objective: To estimate the comparative performance of brief diagnostic assessment tools.

Data Sources: PubMed, the Cochrane Register of Clinical Trials, the Cochrane Database of Systematic Reviews, Embase, CINAHL, PsycINFO, and ERIC, and for unpublished studies with reported results in ClinicalTrials.

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We introduce the nhppp package for simulating events from one dimensional non-homogeneous Poisson point processes (NHPPPs) in R fast and with a small memory footprint. We developed it to facilitate the sampling of event times in discrete event and statistical simulations. The package's functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme.

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Objectives: Development of search queries for systematic reviews (SRs) is time-consuming. In this work, we capitalize on recent advances in large language models (LLMs) and a relatively large dataset of natural language descriptions of reviews and corresponding Boolean searches to generate Boolean search queries from SR titles and key questions.

Materials And Methods: We curated a training dataset of 10 346 SR search queries registered in PROSPERO.

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Cognitive-Behaviorally Based Interventions (CBIs) are evidence-based treatments for alcohol and other drug (AOD) use with potential variable effectiveness by population sub-groups. This study used evidence synthesis to examine treatment effect by demographic and study context factors in clinical trials of CBI for AOD. Studies were systematically identified, and their characteristics and outcome data were extracted and summarized.

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The Strategic Timing of AntiRetroviral Treatment (START) trial found that in patients with HIV and CD4 cell counts above 500 cells/mm who had not previously received treatment, immediate initiation of antiretroviral therapy reduced the risk of serious adverse outcomes compared with delaying treatment initiation only when the CD4 cell count fell below 350 cells/mm. After the trial's completion, people with HIV not receiving therapy were offered the opportunity to start it without regard to their CD4 cell count. In this issue of the START group reports data from an additional 5 years of follow-up.

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Study Objectives: We performed a systematic review of long-term health outcomes of continuous positive airway pressure (CPAP) use in adults with obstructive sleep apnea.

Methods: We updated prior systematic reviews with searches in multiple databases through January 3, 2023. We included randomized controlled trials (RCTs) and adjusted nonrandomized comparative studies that reported prespecified long-term (mostly > 1 year) health outcomes.

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Objective: To meta-analyze clinical efficacy and safety of ketamine compared with other anesthetic agents in the course of electroconvulsive therapy (ECT) in major depressive episode (MDE).

Methods: PubMed/MEDLINE, Cochrane Library, Embase, GoogleScholar, and US and European trial registries were searched from inception through May 23, 2023, with no language limits. We included RCTs with (1) a diagnosis of MDE; (2) ECT intervention with ketamine and/or other anesthetic agents; and (3) measures included: depressive symptoms, cognitive performance, remission or response rates, and serious adverse events.

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Background: We are developing 10 de novo population-level mathematical models in 4 malignancies (multiple myeloma and bladder, gastric, and uterine cancers). Each of these sites has documented disparities in outcome that are believed to be downstream effects of systemic racism.

Methods: Ten models are being independently developed as part of the Cancer Intervention and Surveillance Modeling Network incubator program.

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A goal of evidence synthesis for trials of complex interventions is to inform the design or implementation of novel versions of complex interventions by predicting expected outcomes with each intervention version. Conventional aggregate data meta-analyses of studies comparing complex interventions have limited ability to provide such information. We argue that evidence synthesis for trials of complex interventions should forgo aspirations of estimating causal effects and instead model the response surface of study results to 1) summarize the available evidence and 2) predict the average outcomes of future studies or in new settings.

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Multiple randomized controlled trials, each comparing a subset of competing interventions, can be synthesized by means of a network meta-analysis to estimate relative treatment effects between all interventions in the evidence base. Here we focus on estimating relative treatment effects for time-to-event outcomes. Cancer treatment effectiveness is frequently quantified by analyzing overall survival (OS) and progression-free survival (PFS).

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Background: There is a large body of evidence evaluating quality improvement (QI) programmes to improve care for adults living with diabetes. These programmes are often comprised of multiple QI strategies, which may be implemented in various combinations. Decision-makers planning to implement or evaluate a new QI programme, or both, need reliable evidence on the relative effectiveness of different QI strategies (individually and in combination) for different patient populations.

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Background: Disparities in the health and economic burden of gonorrhoea have not been systematically quantified. We estimated population-level health losses and costs associated with gonococcal infection and sequelae in the United States

Methods: We used probability-tree models to capture gonorrhoea sequelae and to estimate attributable disease burden in terms of the discounted lifetime costs and quality-adjusted life-years (QALYs) lost due to incident infections acquired during 2015 from the healthcare system perspective. Numbers of infections in 2015 were obtained from a published gonorrhoea transmission model.

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Background: The role of vitamin D in people who are at risk for type 2 diabetes remains unclear.

Purpose: To evaluate whether administration of vitamin D decreases risk for diabetes among people with prediabetes.

Data Sources: PubMed, Embase, and ClinicalTrials.

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Chirinos et al. demonstrated that endotrophin levels are strongly associated with all-cause mortality and a composite outcome in patients with heart failure with preserved ejection fraction (HFpEF). The authors established the association in a subset of the TOPCAT trial (Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist) and validated it in external data sets.

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Background: Low-value healthcare is costly and inefficient and may adversely affect patient outcomes. Despite increases in low-value service use, little is known about how the receipt of low-value care differs across payers.

Objective: To evaluate differences in the use of low-value care between patients with commercial versus Medicaid coverage.

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