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Dive into the research topics where Carlos Alatorre is active.

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Featured researches published by Carlos Alatorre.


Health Education & Behavior | 2001

Hispanic Cultural Norms for Health-Seeking Behaviors in the Face of Symptoms

Linda K. Larkey; Michael L. Hecht; Katherine Miller; Carlos Alatorre

This study examines factors that contribute to the delayed use of medical care among Hispanics when chronic disease–related symptoms (warning signs) occur. As an adjunct to a larger project funded by the National Cancer Institute, this study accessed a population of primarily Hispanic, mostly male employees at public work sites in two Arizona counties. Through focus groups and a survey of employees, a model describing the factors underlying health care use was tested. Seriousness of symptoms has the most effect on visits to doctor, with more serious symptoms leading to prompter visits. Faith in God and seriousness of symptoms both are related to the search for a doctor one can trust. Also, a cluster of variables describing past bad experiences, practical barriers, and emotional avoidance are related to the desire to get advice or medical help from someone who is close; these influence the search for a trusted doctor, which in turn leads to prompter visits to doctor.


Depression and Anxiety | 2012

Comprehensive review of factors implicated in the heterogeneity of response in depression

Gebra Cuyun Carter; R. A. Cantrell; Victoria Zarotsky; V. Haynes; Glenn A. Phillips; Carlos Alatorre; Iris Goetz; Rosirene Paczkowski; Lauren B. Marangell

Heterogeneity in overall response and outcomes to pharmacological treatment has been reported in several depression studies but with few sources that integrate these results. The goal of this study was to review the literature and attempt to identify nongenetic factors potentially predictive of overall response to depression treatments.


Journal of Investigative Dermatology | 2014

Heterogeneity of Response to Biologic Treatment: Perspective for Psoriasis

Emily Edson-Heredia; Kimberly L. Sterling; Carlos Alatorre; Gebra Cuyun Carter; Rosirene Paczkowski; Victoria Zarotsky; Tomoko Maeda-Chubachi

Psoriasis treatment responses are affected by patient characteristics. However, the literature does not contain reviews of factors that affect the response to biologic therapies. We therefore performed a comprehensive literature search to identify papers describing demographic, lifestyle, and clinical factors associated with response to biologic drug therapy in psoriatic patients. We found that age, gender, ethnicity, alcohol consumption, smoking, geographic location, age at diagnosis, duration and severity of psoriasis, and baseline C-reactive protein levels did not consistently affect response to biologic psoriasis therapy. However, increased body mass index (BMI) appears to adversely affect responses. It might therefore be valuable to include BMI as a stratification variable in future studies of psoriasis therapies and to consider a patients weight or BMI when selecting a systemic psoriasis treatment.


Drug Discovery Today | 2011

The role of translational bioinformatics in drug discovery

Natalie S. Buchan; Deepak K. Rajpal; Yue Webster; Carlos Alatorre; Ranga Chandra Gudivada; Chengyi Zheng; Philippe Sanseau; Jacob Koehler

The application of translational approaches (e.g. from bed to bench and back) is gaining momentum in the pharmaceutical industry. By utilizing the rapidly increasing volume of data at all phases of drug discovery, translational bioinformatics is poised to address some of the key challenges faced by the industry. Indeed, computational analysis of clinical data and patient records has informed decision-making in multiple aspects of drug discovery and development. Here, we review key examples of translational bioinformatics approaches to emphasize its potential to enhance the quality of drug discovery pipelines, reduce attrition rates and, ultimately, lead to more effective treatments.


Diabetes, Obesity and Metabolism | 2010

A review of treatment response in type 2 diabetes: assessing the role of patient heterogeneity.

R. A. Cantrell; Carlos Alatorre; E. J. Davis; Victoria Zarotsky; E. Le Nestour; G. Cuyun Carter; Iris Goetz; Rosirene Paczkowski; J. Sierra-Johnson

The response to treatment for type 2 diabetes typically varies among individuals within a study population. This variation is known as heterogeneity of treatment response. We conducted a comprehensive literature review to identify factors that account for heterogeneity of treatment response in patients treated for type 2 diabetes. Three databases (PubMed, EMBASE and Cochrane Library) were searched for articles published in the last 10 years describing investigations of factors associated with treatment response and outcomes among people with type 2 diabetes receiving pharmacological treatment. Of the 43 articles extracted and summarized, 35 (81%) discussed clinical factors, 31 (72%) described sociodemographic factors and 17 (40%) reported on comorbidity or behavioural factors. Clinical factors identified included baseline glycated hemoglobin A1c or fasting plasma glucose (FPG) levels, insulin response or sensitivity, C‐peptide, body composition, adipose tissue proteins, lipid profile, plasma albumin levels and duration of disease or insulin treatment. Other factors identified included age, sex, race, socioeconomic status and comorbidities. This review identified the following research gaps: use of multiple definitions for response, few patient‐reported measures and lack of evidence regarding whether factors were associated with treatment response for only specific medications or across pharmacological therapies. Furthermore, identification of factors associated with type 2 diabetes treatment response was generally a secondary objective in the research reviewed. Understanding which patient subgroups are more likely to respond to treatment and identifying factors associated with response may result in targeted treatment decisions and alter the interpretation of efficacy or effectiveness of results. In conclusion, accounting for these factors in clinical trials and when making clinical treatment decisions may improve therapy selection and individual patient outcomes.


Diabetes, Obesity and Metabolism | 2017

Treatment patterns in patients with type 2 diabetes mellitus treated with glucagon‐like peptide‐1 receptor agonists: Higher adherence and persistence with dulaglutide compared with once‐weekly exenatide and liraglutide

Carlos Alatorre; Laura Fernández Landó; Maria Yu; Katelyn Brown; Leslie Montejano; Paul Juneau; Reema Mody; Ralph Swindle

To compare adherence (proportion of days covered [PDC]), persistence, and treatment patterns among patients with type 2 diabetes mellitus (T2DM) newly initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs). More specifically, the main objectives were to compare dulaglutide vs exenatide once weekly and dulaglutide vs liraglutide.


Current Medical Research and Opinion | 2011

Review of treatment response in rheumatoid arthritis: assessment of heterogeneity.

Iris Goetz; Gebra Cuyun Carter; Melanie Lucero; Victoria Zarotsky; Carlos Alatorre; R. A. Cantrell; Rosirene Paczkowski; Kimberly L. Sterling

Abstract Objective: Rheumatoid arthritis (RA) is a chronic, systemic, progressive, inflammatory disorder. The primary goals of treatment in RA are to reduce the signs and symptoms of disease, prevent progression of joint damage and improve patients’ physical function. Patients with different sociodemographic characteristics, varying degrees of severity of illness, and comorbidities tend to exhibit differential response to treatment. The purpose of this review was to identify a broad set of factors that are associated with and/or predictive of RA treatment response and determine those that warrant further research. Research design and methods: A comprehensive review of the literature from the last 10 years was performed using three key databases (PubMed, EMBASE, and Cochrane). All relevant articles that met the inclusion/exclusion criteria were selected and scored for their levels of evidence using the National Institute of Clinical Excellence (NICE) scoring method. Data on study design, interventions and treatment outcomes were abstracted using a structured abstraction table. Results: A total of 30 articles were included in the review and data abstraction. Besides gender, baseline clinical variables such as C-reactive protein level, erythrocyte sedimentation rate, measures of disease activity, and Health Assessment Questionnaire scores (based on five patient-centered dimensions) were consistently associated with treatment response over time. Conclusions: This comprehensive literature review identified several factors associated with treatment response which might be valuable to include as relevant measures in future studies of RA treatment. Inclusion of these factors, particularly those in the clinical and sociodemographic domains, in the design of future trials will further the understanding that ultimately may help clinicians deliver targeted treatment to community practice RA patients, thus resulting in improved patient outcomes.


International Journal of Clinical Practice | 2011

A comprehensive review of predictive and prognostic composite factors implicated in the heterogeneity of treatment response and outcome across disease areas

Carlos Alatorre; Gebra Cuyun Carter; C. Chen; C. Villarivera; V. Zarotsky; R. A. Cantrell; Iris Goetz; Rosirene Paczkowski; D. Buesching

Aim:  To assess and present the current body of evidence regarding composite measures associated with differential treatment response or outcome as a result of patient heterogeneity and to evaluate their consistency across disease areas.


CNS Neuroscience & Therapeutics | 2015

Real-World Dosing Patterns of Atomoxetine in Adults with Attention-Deficit/Hyperactivity Disorder

Samaneh Kabul; Carlos Alatorre; Leslie Montejano; Amanda M. Farr; David B. Clemow

The aim was to investigate the dosing patterns of atomoxetine monotherapy in adult patients with attention‐deficit/hyperactivity disorder (ADHD) in a retrospective analysis.


Health | 1997

Safety behaviors of mothers of young children: impact of cognitive, stress and background factors

Jennie Jacobs Kronenfeld; Mark Reiser; Deborah C. Glik; Carlos Alatorre; Kirby L. Jackson

We explore the relative contribution of cognitive, stress, and background variables as factors that explain safety behaviors of parents of young children. The data set was a probability sample of mothers of young children (N= 1247). The focus of survey questions was predominantly home safety, a setting where young children are at highest risk for injury. We tested hypotheses using structural equations models. Our analyses indicate that stress and coping are important mediating factors between cognitive factors of perceptions of risk and safety behaviors practiced by parents of young children. Use of both cognitive and situational variables may be particularly important in understanding preventive health behaviors of mothers with young children. We also explore differences in models between African-American and white parents. We view this research as representing the continued development of health behavior research, extended to include parents and their children, since most health behavior research has not examined parental health behavior linked to protection of young children.

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Maria Yu

Eli Lilly and Company

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