Institution
Oswaldo Cruz Foundation
Facility•Rio de Janeiro, Brazil•
About: Oswaldo Cruz Foundation is a facility organization based out in Rio de Janeiro, Brazil. It is known for research contribution in the topics: Population & Trypanosoma cruzi. The organization has 18673 authors who have published 36752 publications receiving 802378 citations. The organization is also known as: Fundação Oswaldo Cruz & FIOCRUZ.
Topics: Population, Trypanosoma cruzi, Immune system, Leishmania, Health care
Papers published on a yearly basis
Papers
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TL;DR: It was found that few diabetic patients in Brazil met recommended glycaemic control targets, which may contribute to increased rates of diabetic complications, and the public health message of implementation of early, aggressive management of diabetes.
Abstract: Diabetes is a significant public health burden on the basis of its increased incidence, morbidity, and mortality. This study aimed to estimate the prevalence of inadequate glycaemic control and its correlates in a large multicentre survey of Brazilian patients with diabetes. A cross-sectional study was conducted in a consecutive sample of patients aged 18 years or older with either type 1 or type 2 diabetes, attending health centres located in ten large cities in Brazil (response rate = 84%). Information about diabetes, current medications, complications, diet, and satisfaction with treatment were obtained by trained interviewers, using a standardized questionnaire. Glycated haemoglobin (HbA1c) was measured by high-performance liquid chromatography in a central laboratory. Patients with HbA1c ≥ 7 were considered to have inadequate glycaemic control. Overall 6,701 patients were surveyed, 979 (15%) with type 1 and 5,692 (85%) with type 2 diabetes. The prevalence of inadequate glycaemic control was 76%. Poor glycaemic control was more common in patients with type 1 diabetes (90%) than in those with type 2 (73%), P < 0.001. Characteristics significantly associated with improved glycaemic control included: fewer years of diabetes duration, multi professional care, participation in a diabetes health education program, and satisfaction with current diabetes treatment. Despite increased awareness of the benefits of tight glycaemic control, we found that few diabetic patients in Brazil met recommended glycaemic control targets. This may contribute to increased rates of diabetic complications, which may impact health care costs. Our data support the public health message of implementation of early, aggressive management of diabetes.
127 citations
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TL;DR: The authors in this article outline four phases in the history of Latin American countries that explain the roots of segmentation in health care and describe three paths taken by countries seeking to overcome it: unification of the funds used to finance both social security and Ministry of Health services (one public payer), free choice of provider or insurer; and expansion of services to poor people and the non-salaried population by making explicit the health-care benefits to which all citizens are entitled.
127 citations
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University of São Paulo1, University of California, Los Angeles2, New York Medical College3, Peking University4, National Institutes of Health5, University of Texas MD Anderson Cancer Center6, University of Buenos Aires7, Fred Hutchinson Cancer Research Center8, Newcastle University9, Nofer Institute of Occupational Medicine10, University of Iowa11, Russian Academy12, New York Eye and Ear Infirmary13, University of Turin14, Heidelberg University15, University of North Carolina at Chapel Hill16, Pennsylvania State University17, University of Michigan18, Universidade Federal de Pelotas19, Boston University20, University of Aberdeen21, Curie Institute22, University of Lausanne23, Washington State University24, University of Milan25, National and Kapodistrian University of Athens26, Oswaldo Cruz Foundation27, Brown University28, Charles University in Prague29, International Agency for Research on Cancer30, Trinity College, Dublin31, New York University32, Universidade Federal do Rio Grande do Sul33, University of Glasgow34, University of Padua35, Catholic University of the Sacred Heart36, University of Bremen37, Icahn School of Medicine at Mount Sinai38, University of Utah39
TL;DR: In this paper, the role of major risk factors and family history of cancer in head and neck cancer in young adults and older patients was compared using logistic regression with studies treated as random effects, and the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were estimated.
Abstract: Background: Increasing incidence of head and neck cancer (HNC) in young adults has been reported. We aimed to compare the role of major risk factors and family history of cancer in HNC in young adults and older patients.
Methods: We pooled data from 25 case-control studies and conducted separate analyses for adults ≤45 years old (‘young adults’, 2010 cases and 4042 controls) and >45 years old (‘older adults’, 17 700 cases and 22 704 controls). Using logistic regression with studies treated as random effects, we estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs).
Results: The young group of cases had a higher proportion of oral tongue cancer (16.0% in women; 11.0% in men) and unspecified oral cavity / oropharynx cancer (16.2%; 11.1%) and a lower proportion of larynx cancer (12.1%; 16.6%) than older adult cases. The proportions of never smokers or never drinkers among female cases were higher than among male cases in both age groups. Positive associations with HNC and duration or pack-years of smoking and drinking were similar across age groups. However, the attributable fractions (AFs) for smoking and drinking were lower in young when compared with older adults (AFs for smoking in young women, older women, young men and older men, respectively, = 19.9% (95% CI = 9.8%, 27.9%), 48.9% (46.6%, 50.8%), 46.2% (38.5%, 52.5%), 64.3% (62.2%, 66.4%); AFs for drinking = 5.3% (−11.2%, 18.0%), 20.0% (14.5%, 25.0%), 21.5% (5.0%, 34.9%) and 50.4% (46.1%, 54.3%). A family history of early-onset cancer was associated with HNC risk in the young [OR = 2.27 (95% CI = 1.26, 4.10)], but not in the older adults [OR = 1.10 (0.91, 1.31)]. The attributable fraction for family history of early-onset cancer was 23.2% (8.60% to 31.4%) in young compared with 2.20% (−2.41%, 5.80%) in older adults.
Conclusions: Differences in HNC aetiology according to age group may exist. The lower AF of cigarette smoking and alcohol drinking in young adults may be due to the reduced length of exposure due to the lower age. Other characteristics, such as those that are inherited, may play a more important role in HNC in young adults compared with older adults.
127 citations
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TL;DR: The implementation of a workflow that fulfills the requirements for small and high throughput users, and includes the monitoring of data for continuous quality improvement by the sequencing staff, is implemented.
Abstract: Optimizing and monitoring the data flow in high-throughput sequencing facilities is important for data input and output, for tracking the status of results for the users of the facility, and to guarantee a good, high-quality service. In a multi-user system environment with different throughputs, each user wants to access his/her data easily, track his/her sequencing history, analyze sequences and their quality, and apply some basic post-sequencing analysis, without the necessity of installing further software. Recently, Fiocruz established such a core facility as a "technological platform". Infrastructure includes a 48-capillary 3730 DNA Sequence Analyzer (Applied Biosystems) and supporting equipment. The service includes running samples for large-scale users, performing DNA sequencing reactions and runs for medium and small users, and participation in partial or full genome projects. We implemented a workflow that fulfills these requirements for small and high throughput users. Our implementation also includes the monitoring of data for continuous quality improvement (reports by plate, month and user) by the sequencing staff. For the user, different analyses of the chromatograms, such as visualization of good quality regions, as well as processing, such as comparisons or assemblies, are available. So far, 180 users have made use of the service, generating 155,000 sequences, 35% of which were produced for the BCG Moreau-RJ genome project. The pipeline (named ChromaPipe for Chromatogram Pipeline) is available for download by the scientific community at the url http://bioinfo.pdtis.fiocruz.br/ChromaPipe/. The support for assembly is also configured as a web service: http://bioinfo.pdtis.fiocruz.br/Assembly/.
127 citations
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TL;DR: A cross-sectional survey for posttraumatic stress disorder (PTSD) was conducted with 234 Brazilian ambulance workers using a sociodemographic questionnaire, the Posttraumatic Stress Disorder Checklist-Civilian Version, and the Short Form Health Survey-36, where workers with PTSD showed impairment in the physical and mental domains of the SF-36.
Abstract: A cross-sectional survey for posttraumatic stress disorder (PTSD) was conducted with 234 Brazilian ambulance workers (180 men and 54 women) using a sociodemographic questionnaire, the Posttraumatic Stress Disorder Checklist-Civilian Version, and the Short Form Health Survey-36. Current prevalence rates for full and partial PTSD were 5.6% (men = 6.7%, women = 1.9%) and 15% (men = 13.3%, women = 20.4%), respectively. Male workers with full PTSD were more likely to be nonmarried (75% vs. 43%) and those with partial PTSD reported more emotional problems (65.2% vs. 30%) and medical visits (67% vs. 44%) than the controls. Workers with PTSD showed impairment in the physical and mental domains of the SF-36, whereas workers with partial PTSD had only the later compromised. The characteristics and the level of exposure to trauma of the study population may account for the low prevalence of PTSD.
127 citations
Authors
Showing all 18833 results
Name | H-index | Papers | Citations |
---|---|---|---|
Douglas T. Golenbock | 123 | 317 | 61267 |
Guy A. Zimmerman | 109 | 328 | 39740 |
David Brown | 105 | 1257 | 46827 |
Liam Smeeth | 104 | 753 | 53433 |
Ann M. Dvorak | 99 | 437 | 41073 |
David C. Spray | 95 | 400 | 28732 |
Theodore A. Slotkin | 89 | 575 | 30070 |
Fernando Q. Cunha | 88 | 682 | 31501 |
Mauro M. Teixeira | 86 | 713 | 31301 |
Ricardo T. Gazzinelli | 86 | 340 | 28233 |
Peter F. Weller | 85 | 331 | 22005 |
João B. Calixto | 81 | 460 | 23029 |
Frederic J. Seidler | 80 | 372 | 19564 |
João Santana da Silva | 80 | 399 | 19060 |
Deborah Carvalho Malta | 77 | 706 | 61000 |