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Institution

Oswaldo Cruz Foundation

FacilityRio 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.


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Journal ArticleDOI
TL;DR: Assessment and measurements performed in the Brazilian Longitudinal Study for Adult Health (ELSA-Brasil) have an established clinical application while others have no established application and do not have reference values for healthy Brazilian population but may be important predictors of cardiovascular outcomes.
Abstract: The article describes assessments and measurements performed in the Brazilian Longitudinal Study for Adult Health (ELSA-Brasil). Some assessments including anthropometric assessment, casual blood pressure measurement, and ankle-brachial index have an established clinical application while others including pulse wave velocity, heart rate variability, and carotid intima-media thickness have no established application and do not have reference values for healthy Brazilian population but may be important predictors of cardiovascular outcomes. Blood pressure measurement following postural change maneuver was included in the ELSA-Brasil because it has not been much tested in epidemiological studies. Innovative approaches were developed for assessing the ankle-brachial index using an automatic device instead of the mercury column to measure blood pressure and for assessing the anterior-posterior diameter of the right lobe of the liver by ultrasound for quantitative assessment of nonalcoholic fatty liver disease. All ELSA-Brasil subjects were younger (35 years or more) than those included in other cohorts studying subclinical atherosclerosis. The inclusion of younger individuals and a variety of assessments make the ELSA-Brasil a relevant epidemiology study nationwide and worldwide.

157 citations

Journal ArticleDOI
TL;DR: In this article, the authors used the International Clearinghouse for Birth Defects Surveillance and Research (ICBDSR) structure to analyze diverse epidemiological aspects of CT, including the different variables listed in the Introduction Section of this issue of the Journal.
Abstract: Conjoined twins (CT) are a very rare developmental accident of uncertain etiology. Prevalence has been previously estimated to be 1 in 50,000 to 1 in 100,000 births. The process by which monozygotic twins do not fully separate but form CT is not well understood. The purpose of the present study was to analyze diverse epidemiological aspects of CT, including the different variables listed in the Introduction Section of this issue of the Journal. The study was made possible using the International Clearinghouse for Birth Defects Surveillance and Research (ICBDSR) structure. This multicenter worldwide research includes the largest sample of CT ever studied. A total of 383 carefully reviewed sets of CT obtained from 26,138,837 births reported by 21 Clearinghouse Surveillance Programs (SP) were included in the analysis. Total prevalence was 1.47 per 100,000 births (95% CI: 1.32-1.62). Salient findings including an evident variation in prevalence among SPs: a marked variation in the type of pregnancy outcome, a similarity in the proportion of CT types among programs: a significant female predominance in CT: particularly of the thoracopagus type and a significant male predominance in parapagus and parasitic types: significant differences in prevalence by ethnicity and an apparent increasing prevalence trend in South American countries. No genetic, environmental or demographic significant associated factors were identified. Further work in epidemiology and molecular research is necessary to understand the etiology and pathogenesis involved in the development of this fascinating phenomenon of nature.

157 citations

Journal ArticleDOI
TL;DR: The new Virus-Genotyping Tools provide accurate classification of recombinant and non-recombinant viruses and are currently being assessed for their diagnostic utility.
Abstract: Human immunodeficiency virus type-1 (HIV-1), hepatitis B and C and other rapidly evolving viruses are characterized by extremely high levels of genetic diversity. To facilitate diagnosis and the development of prevention and treatment strategies that efficiently target the diversity of these viruses, and other pathogens such as human T-lymphotropic virus type-1 (HTLV-1), human herpes virus type-8 (HHV8) and human papillomavirus (HPV), we developed a rapid high-throughput-genotyping system. The method involves the alignment of a query sequence with a carefully selected set of predefined reference strains, followed by phylogenetic analysis of multiple overlapping segments of the alignment using a sliding window. Each segment of the query sequence is assigned the genotype and sub-genotype of the reference strain with the highest bootstrap (>70%) and bootscanning (>90%) scores. Results from all windows are combined and displayed graphically using color-coded genotypes. The new Virus-Genotyping Tools provide accurate classification of recombinant and nonrecombinant viruses and are currently being assessed for their diagnostic utility. They have incorporated into several HIV drug resistance algorithms including the Stanford (http://hivdb. stanford.edu) and two European databases (http:// www.umcutrecht.nl/subsite/spread-programme/ and http://www.hivrdb.org.uk/) and have been successfully used to genotype a large number of sequences in these and other databases. The tools are a PHP/JAVA web application and are freely accessible on a number of servers including: http://bioafrica.mrc.ac.za/rega-genotype/html/ http://lasp.cpqgm.fiocruz.br/virus-genotype/html/ http://jose.med.kuleuven.be/genotypetool/html/.

156 citations

Journal ArticleDOI
TL;DR: The McMaster egg counting method is an alternative method for monitoring large-scale treatment programs and is a robust (accurate multiplication factor) and accurate (reliable efficacy results) method, which can be easily standardized.
Abstract: Background The Kato-Katz thick smear (Kato-Katz) is the diagnostic method recommended for monitoring large-scale treatment programs implemented for the control of soil-transmitted helminths (STH) in public health, yet it is difficult to standardize. A promising alternative is the McMaster egg counting method (McMaster), commonly used in veterinary parasitology, but rarely so for the detection of STH in human stool. Methodology/Principal Findings The Kato-Katz and McMaster methods were compared for the detection of STH in 1,543 subjects resident in five countries across Africa, Asia and South America. The consistency of the performance of both methods in different trials, the validity of the fixed multiplication factor employed in the Kato-Katz method and the accuracy of these methods for estimating ‘true’ drug efficacies were assessed. The Kato-Katz method detected significantly more Ascaris lumbricoides infections (88.1% vs. 75.6%, p 0.32) in FEC between both methods, and indicated no significant difference in FEC, except for A. lumbricoides, where the Kato-Katz resulted in significantly higher FEC (14,197 eggs per gram of stool (EPG) vs. 5,982 EPG). For the Kato-Katz, the fixed multiplication factor resulted in significantly higher FEC than the multiplication factor adjusted for mass of feces examined for A. lumbricoides (16,538 EPG vs. 15,396 EPG) and T. trichiura (1,490 EPG vs. 1,363 EPG), but not for hookworm. The McMaster provided more accurate efficacy results (absolute difference to ‘true’ drug efficacy: 1.7% vs. 4.5%). Conclusions/Significance The McMaster is an alternative method for monitoring large-scale treatment programs. It is a robust (accurate multiplication factor) and accurate (reliable efficacy results) method, which can be easily standardized.

156 citations

Journal ArticleDOI
TL;DR: “.” ˛˚ ˛ ˜ˇ 2 ˆ````龍左 𝚘 , 7˚, 7˘ ݘ ンジャック, ݚ വ’ “’Benedictine’s Law”, 2 January 2017.
Abstract: ˝ ˛˚ ˛ ˜ˇ 2 ˆ ˜˚  / $  &  B@H/#$˝ !" #˛ $ 2 $˚ ˘ , 7˘ 1  0 =˙1B˛ H  " E  "  $ % & ’$ ˛ 2 D  0 @    ˚   "˜7 ?’ H ˚ 2 &’ # ˝˛ ˚ ( "  2 ˆ $ ˘˚  B˛ H   ˇ ˝˛) * ˛˛ 2 $˚ ˘ , 7˘ 1  0 =˙1B˛ H  " E 1"  $ ˘    " $˚ ˝+ ˛,- ˘ #    ˚ 5 A   0 =˙1B˛ H  " E ˚." / 2 H  & 2 B#$ " $ "  $ ˚ 0 ˚˛˛1 2 $$&( B˛ H  " E A #   $ 1"  $ 2/ 3 2 @   ˜ 2 H  &  B˛ H  /ˆ˝ # 1"  $ 2/ " 2      # / # $ ˝ 2 $42 (˛ 2 ?ˆ  85˛ & ˚  2 # / #  ˇ ˜  ˛ ˇ 5 6( 2 $˚ ˘ , 7˘ 1  0 =˙1B˛ H  " E A "  $ ˜ ˝ ˛˜76 ( 2  ˘ H 2 # / # # $  # $ , , ˇ ˛˜ˇ 2 H   , ˆˇ $ ˛  " E ,/˝˛( ’ 2 $˚ ˘ , 7˘ 1  0 =˙ 2 B˛ H  " E  #    ˚ 5 , / 2 #)# $˚ ˘ @   #1, 2 &’ # 3.)+ 8 2 ?ˆ  B˛5 $ / 2 B˛ /  " E 3 + ˚ 2  "˜7 ?’ H ˚ 2 &’ # 3+ ˛’˛˘ B˛ H  " (  @9: 2 2  # ˛ 2 B˛ H   ˇ .) +  2 $˜˝ B˛  0 ˙$B 2 #   # $  .;  2  "˜7 ?’ H ˚ 2 &’ # A B˛ /  " E  ’"? ˛ 2  # ˛ 2 B˛ H   ˇ 1"  $ ( ˝+3@@ 2  "˜7 ?’ H ˚ 2 #)# &’ # (A’# *ˇ˝ 2 ?ˆ  & ˆ  " ˆˇ  $  # -  #&#˙"EA $˚ ˘ , 7˘ 1  0 =˙ 2 B˛ H  " E * ˚/6˚ 2 ?ˆ  B˛5 E   2 ’˘ B˛ H  $ 5*9 6 2  # ˛ 2 B˛ H   ˇ B/3 8 (ˇ6" ˛ 2 ˛  ˜ ?ˆ  ˝ H  & B˛ # $  ’ 2 ?ˆ  #  0 $ ˇ $ ,˚ # / # 2 "# "  $ ) <˜ / 2 ˆ $ ˘˚  B˛ H  $ 5A ˘ ˜. #$ ˚/’˛ 2      # # & ˝ˆ " E 1"  $  (? 2  # ˛ 2 B˛ H   ˇ 1"  $ C.(˝ ˛ 2 H  &  ˆ $ ˘˚  B˛ H  & ( C , 2      2 )/ 2 # / # # $ 1"  $ &$< ˛ 2  "˜7 #1, # / # # $ A H  & B˛ # $ 4 ˛ D & ˚ ˇ ˘ H  , ˚ H - & J KL $ $

156 citations


Authors

Showing all 18833 results

NameH-indexPapersCitations
Douglas T. Golenbock12331761267
Guy A. Zimmerman10932839740
David Brown105125746827
Liam Smeeth10475353433
Ann M. Dvorak9943741073
David C. Spray9540028732
Theodore A. Slotkin8957530070
Fernando Q. Cunha8868231501
Mauro M. Teixeira8671331301
Ricardo T. Gazzinelli8634028233
Peter F. Weller8533122005
João B. Calixto8146023029
Frederic J. Seidler8037219564
João Santana da Silva8039919060
Deborah Carvalho Malta7770661000
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022250
20212,842
20202,942
20192,404
20182,302