Múltipla autoria: crescimento ou bolha inflacionária?

OBJETIVO: Analisar o aumento do número de autores por artigo em revistas científicas brasileiras de saúde coletiva. MÉTODOS: Foram pesquisados na base de dados LILACS artigos publicados em seis revistas de saúde coletiva e uma revista médica (para comparação), da coleção SciELO, com classificação Qualis, da Capes, igual ou superior a B-1, entre 1999 e 2010. Foram avaliadas a evolução da mediana de números de autores/artigo e a proporção de artigos com mais de quatro autores. Estimou-se a associação entre o triênio de publicação e a presença de quatro ou mais autores por artigo por meio de odds ratio de Mantel-Haenzel, ajustadas para o tipo de revista. RESULTADOS: Houve crescimento da mediana do número de autores e da proporção de artigos com mais de quatro autores para todas as revistas, principalmente no último triênio. As odds ratio para publicação de artigos com quatro autores ou mais, ajustadas para os tipo de revista, foram: segundo triênio: 1,3 (IC95% 1,1;1,4); terceiro triênio: 1,5 (IC95% 1,3;1,8); quarto triênio: 2,39 (IC95% 2,1;2,8). CONCLUSÕES: Periódicos científicos de saúde coletiva têm apresentado aumento no número de autores por artigo ao longo dos anos, independentemente da orientação editorial

Associations between extreme temperatures and cardiovascular cause-specific mortality: results from 27 countries

BACKGROUND: Cardiovascular disease is the leading cause of death worldwide. Existing studies on the association between temperatures and cardiovascular deaths have been limited in geographic zones and have generally considered associations with total cardiovascular deaths rather than cause-speci fi c cardiovascular deaths. METHODS: We used uni fi ed data collection protocols within the Multi-Country Multi-City Collaborative Network to assemble a database of daily counts of speci fi c cardiovascular causes of death from 567 cities in 27 countries across 5 continents in overlapping periods ranging from 1979 to 2019. City-speci fi c daily ambient temperatures were obtained from weather stations and climate reanalysis models. To investigate cardiovascular mortality associations with extreme hot and cold temperatures, we fi t case-crossover models in each city and then used a mixed-effects meta-analytic framework to pool individual city estimates. Extreme temperature percentiles were compared with the minimum mortality temperature in each location. Excess deaths were calculated for a range of extreme temperature days. RESULTS: The analyses included deaths from any cardiovascular cause (32 154 935), ischemic heart disease (11 745 880), stroke (9 351 312), heart failure (3 673 723), and arrhythmia (670 859). At extreme temperature percentiles, heat (99th percentile) and cold (1st percentile) were associated with higher risk of dying from any cardiovascular cause, ischemic heart disease, stroke, and heart failure as compared to the minimum mortality temperature, which is the temperature associated with least mortality. Across a range of extreme temperatures, hot days (above 97.5th percentile) and cold days (below 2.5th percentile) accounted for 2.2 (95% empirical CI [eCI], 2.1-2.3) and 9.1 (95% eCI, 8.9-9.2) excess deaths for every 1000 cardiovascular deaths, respectively. Heart failure was associated with the highest excess deaths proportion from extreme hot and cold days with 2.6 (95% eCI, 2.4-2.8) and 12.8 (95% eCI, 12.2-13.1) for every 1000 heart failure deaths, respectively. CONCLUSIONS: Across a large, multinational sample, exposure to extreme hot and cold temperatures was associated with a greater risk of mortality from multiple common cardiovascular conditions. The intersections between extreme temperatures and cardiovascular health need to be thoroughly characterized in the present day-and especially under a changing climate

The association of depression and all-cause and cause-specific mortality: an umbrella review of systematic reviews and meta-analyses

Background: Depression is a prevalent and disabling mental disorder that frequently co-occurs with a wide range of chronic conditions. Evidence has suggested that depression could be associated with excess all-cause mortality across different settings and populations, although the causality of these associations remains unclear. Methods: We conducted an umbrella review of systematic reviews and meta-analyses of observational studies. PubMed, PsycINFO, and Embase electronic databases were searched through January 20, 2018. Systematic reviews and meta-analyses that investigated associations of depression and all-cause and cause-specific mortality were selected for the review. The evidence was graded as convincing, highly suggestive, suggestive, or weak based on quantitative criteria that included an assessment of heterogeneity, 95% prediction intervals, small-study effects, and excess significance bias. Results: A total of 26 references providing 2 systematic reviews and data for 17 meta-analytic estimates met inclusion criteria (19 of them on all-cause mortality); data from 246 unique studies (N = 3,825,380) were synthesized. All 17 associations had P < 0.05 per random effects summary effects, but none of them met criteria for convincing evidence. Associations of depression and all-cause mortality in patients after acute myocardial infarction, in individuals with heart failure, in cancer patients as well as in samples from mixed settings met criteria for highly suggestive evidence. However, none of the associations remained supported by highly suggestive evidence in sensitivity analyses that considered studies employing structured diagnostic interviews. In addition, associations of depression and all-cause mortality in cancer and post-acute myocardial infarction samples were supported only by suggestive evidence when studies that tried to adjust for potential confounders were considered. Conclusions: Even though associations between depression and mortality have nominally significant results in all assessed settings and populations, the evidence becomes weaker when focusing on studies that used structured interviews and those that tried to adjust for potential confounders. A causal effect of depression on all-cause and cause-specific mortality remains unproven, and thus interventions targeting depression are not expected to result in lower mortality rates at least based on current evidence from observational studies

Pan-cancer analysis of whole genomes

Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale(1-3). Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter(4); identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation(5,6); analyses timings and patterns of tumour evolution(7); describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity(8,9); and evaluates a range of more-specialized features of cancer genomes(8,10-18).Peer reviewe

Genetic and non-genetic risk factors for pre-eclampsia: an umbrella review of systematic reviews and meta-analyses of observational studies

OBJECTIVE: To summarize evidence from the literature on the risk factors associated with preeclampsia, assess the presence of statistical biases and identify associations with robust evidence. METHODS: We searched PubMed and ISI Web of Science from inception to October, 2016, to identify systematic reviews and meta-analyses of observational studies examining associations between genetic and non-genetic risk factors for preeclampsia. For each meta-analysis we estimated the summary effect size by random-effects and fixed-effects models, the 95% confidence interval and the 95% prediction interval. We estimated the between-study heterogeneity expressed by I(2) (considering above 75% as very large), evidence of small-study effects (large studies had significantly more conservative results than smaller studies and evidence of excess significance bias (too many studies with statistically significant results). RESULTS: Fifty-seven eligible papers were identified providing data on 130 associations including 1466 primary studies, covering a very wide range of risk factors: co-morbid diseases, genetic factors, exposure to environmental agents and a range of biomarkers. Sixty-five (50%) associations had nominally statistically significant findings at P1000 cases, 95% prediction intervals excluding the null, not suggestive of large heterogeneity (I(2) 0.10), or excess of significance (P>0.05). Across the statistically significant genetic risk factors (P<0.05), only PAI-1 4G/5G (recessive model) polymorphism was supported with strong evidence for a contribution to the pathogenesis of preeclampsia. Eleven factors (serum iron level, PAPP-A, chronic kidney disease, polycystic ovary syndrome, mental stress, bacterial & viral infections, cigarette smoking, oocyte donation vs assisted reproductive technology, obese vs normal weight women, severe obese vs normal weight women and primiparity) presented highly suggestive evidence for preeclampsia. CONCLUSIONS: A large proportion of meta-analyses of genetic and non-genetic risk factors for preeclampsia have caveats, which threaten their validity. Oocyte donation vs normal conception and PAI-1 4G/5G polymorphism (recessive model) show the strongest consistent evidence

Physical model study for evaluation of jet impact on sediment flushing

Pressure flushing is one of the methods that are used for removing sediments from reservoirs. In this research, submerged jets were used in front of the dam. A physical model was developed to study the influence of jet characteristics (nozzle diameter, jet velocity, and jet discharge) and reservoir output parameters (bottom outlet level and discharge) on the sediment release. The efficiency of the jets was established by comparing the sediment scour obtained under different conditions: once with jets and once without jets. The sediment scouring efficiency ranged between 0.9 and 3.1 for jet experiments, and between 0.1 and 0.3 for reference tests (without jets)

First-trimester ductus venosus velocity ratio as a marker of major cardiac defects

Objectives To examine ductus venosus (DV) flow in fetuses with and those without a cardiac defect and to evaluate different phases of DV flow in addition to the standard assessment of DV pulsatility index for veins (PIV) and the a-wave. Methods This was a retrospective study of singleton pregnancies that underwent first-trimester ultrasound screening, which included DV flow assessment, at the University of Tubingen (between 2010 and 2017) or the University of Cologne (between 2013 and 2016). The study population comprised normal fetuses and fetuses with major cardiac defects at a ratio of 10: 1. For each fetus, the following parameters of the DV waveform were evaluated: qualitative assessment of the a-wave, PIV measurement and ratios of flow velocities during the S-wave (S) or D-wave (D) and the a-wave (a) or v-wave (v). Reproducibility of DV-PIV and DV flow ratios was evaluated in 30 fetuses in which the DV flow was assessed twice. Results Our study population included 480 anatomically normal fetuses and 48 with a cardiac defect. Median fetal nuchal translucency (NT) in the normal and in the affected group was 1.9mm and 2.6 mm, respectively. In five (1.0%) of the normal and 18 (37.5%) of the affected cases, fetal NT thickness was above the 99th centile. In the normal group, the DV a-wave was reversed in 15 (3.1%) cases and the DV-PIV was above the 95th centile in 25 (5.2%). In the cases with cardiac defects, the a-wave was reversed and the DV-PIVmeasurement was above the 95th centile in 26 (54.2%). The reproducibility ofmeasurement of the ratios of DV flow velocities was similar to that of the DV-PIV. Most cardiac defects were associated with an abnormal a/S or a/D ratio. If the cut-off for these two ratios was set at the 5th centile of the normal distribution, the detection rate of fetal cardiac anomalies would be 62.5%. This compares favorably with the DV-PIV, which detects 26 (54.2%) of the affected fetuses for the same threshold. Conclusion In the first trimester, the a/S ratio has the potential to detect approximately 60% of congenital cardiac defects for a false-positive rate of 5%. Copyright (c) 2018 ISUOG. Published by John Wiley & Sons Ltd