Institution
Monash University
Education•Melbourne, Victoria, Australia•
About: Monash University is a education organization based out in Melbourne, Victoria, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 35920 authors who have published 100681 publications receiving 3027002 citations.
Papers published on a yearly basis
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TL;DR: This work aims to provide a systematic literature review and meta-analyses of the determinants of blood clotting disorders and their Kessler’s disease progression as well as some of the mechanisms behind these reactions.
1,230 citations
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TL;DR: In adults with severe diffuse traumatic brain injury and refractory intracranial hypertension, early bifrontotemporoparietal decompressive craniectomy decreased intrac Cranial pressure and the length of stay in the ICU but was associated with more unfavorable outcomes.
Abstract: Patients in the craniectomy group, as compared with those in the standard-care group, had less time with intracranial pressures above the treatment threshold (P<0.001), fewer interventions for increased intracranial pressure (P<0.02 for all comparisons), and fewer days in the intensive care unit (ICU) (P<0.001). However, patients undergoing craniectomy had worse scores on the Extended Glasgow Outcome Scale than those receiving standard care (odds ratio for a worse score in the craniectomy group, 1.84; 95% confidence interval [CI], 1.05 to 3.24; P = 0.03) and a greater risk of an unfavorable outcome (odds ratio, 2.21; 95% CI, 1.14 to 4.26; P = 0.02). Rates of death at 6 months were similar in the craniectomy group (19%) and the standard-care group (18%). Conclusions In adults with severe diffuse traumatic brain injury and refractory intracranial hypertension, early bifrontotemporoparietal decompressive craniectomy decreased intracranial pressure and the length of stay in the ICU but was associated with more unfavorable outcomes. (Funded by the National Health and Medical Research Council of Australia and others; DECRA Australian Clinical Trials Registry number, ACTRN012605000009617.)
1,224 citations
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TL;DR: CPMDs are more prevalent in low- and lower-middle-income countries, particularly among poorer women with gender-based risks or a psychiatric history.
Abstract: OBJECTIVE: To review the evidence about the prevalence and determinants of non-psychotic common perinatal mental disorders (CPMDs) in World Bank categorized low- and lower-middle-income countries. METHODS: Major databases were searched systematically for English-language publications on the prevalence of non-psychotic CPMDs and on their risk factors and determinants. All study designs were included. FINDINGS: Thirteen papers covering 17 low- and lower-middle-income countries provided findings for pregnant women, and 34, for women who had just given birth. Data on disorders in the antenatal period were available for 9 (8%) countries, and on disorders in the postnatal period, for 17 (15%). Weighted mean prevalence was 15.6% (95% confidence interval, CI: 15.4-15.9) antenatally and 19.8% (19.5-20.0) postnatally. Risk factors were: socioeconomic disadvantage (odds ratio [OR] range: 2.1-13.2); unintended pregnancy (1.6-8.8); being younger (2.1-5.4); being unmarried (3.4-5.8); lacking intimate partner empathy and support (2.0-9.4); having hostile in-laws (2.1-4.4); experiencing intimate partner violence (2.11-6.75); having insufficient emotional and practical support (2.8-6.1); in some settings, giving birth to a female (1.8-2.6), and having a history of mental health problems (5.1-5.6). Protective factors were: having more education (relative risk: 0.5; P = 0.03); having a permanent job (OR: 0.64; 95% CI: 0.4-1.0); being of the ethnic majority (OR: 0.2; 95% CI: 0.1-0.8) and having a kind, trustworthy intimate partner (OR: 0.52; 95% CI: 0.3-0.9). CONCLUSION: CPMDs are more prevalent in low- and lower-middle-income countries, particularly among poorer women with gender-based risks or a psychiatric history.
1,214 citations
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University of Sydney1, University of Michigan2, Duke University3, University of Alabama at Birmingham4, University of Pittsburgh5, University of Florida6, Centers for Disease Control and Prevention7, University of Münster8, University of Udine9, Ankara University10, University of Wisconsin-Madison11, Paris Diderot University12, University of Arkansas for Medical Sciences13, University of Paris14, University of Lausanne15, Brown University16, Istituto Giannina Gaslini17, Carlos III Health Institute18, Uniformed Services University of the Health Sciences19, National Institutes of Health20, University of Pennsylvania21, St George's, University of London22, Heidelberg University23, University of Copenhagen24, University College London25, University of Texas MD Anderson Cancer Center26, Katholieke Universiteit Leuven27, Goethe University Frankfurt28, University of Würzburg29, Johns Hopkins University30, Monash University31, Federal University of Rio de Janeiro32, Catholic University of the Sacred Heart33, University of Texas Health Science Center at San Antonio34, Masaryk University35, RMIT University36, Radboud University Nijmegen37, University of Melbourne38, Stanford University39, University of California, Davis40, Georgia Regents University41, Cornell University42, University of Aberdeen43, University Hospital of Wales44
TL;DR: These updated definitions of IFDs should prove applicable in clinical, diagnostic, and epidemiologic research of a broader range of patients at high-risk.
Abstract: BACKGROUND: Invasive fungal diseases (IFDs) remain important causes of morbidity and mortality. The consensus definitions of the Infectious Diseases Group of the European Organization for Research and Treatment of Cancer and the Mycoses Study Group have been of immense value to researchers who conduct clinical trials of antifungals, assess diagnostic tests, and undertake epidemiologic studies. However, their utility has not extended beyond patients with cancer or recipients of stem cell or solid organ transplants. With newer diagnostic techniques available, it was clear that an update of these definitions was essential. METHODS: To achieve this, 10 working groups looked closely at imaging, laboratory diagnosis, and special populations at risk of IFD. A final version of the manuscript was agreed upon after the groups' findings were presented at a scientific symposium and after a 3-month period for public comment. There were several rounds of discussion before a final version of the manuscript was approved. RESULTS: There is no change in the classifications of "proven," "probable," and "possible" IFD, although the definition of "probable" has been expanded and the scope of the category "possible" has been diminished. The category of proven IFD can apply to any patient, regardless of whether the patient is immunocompromised. The probable and possible categories are proposed for immunocompromised patients only, except for endemic mycoses. CONCLUSIONS: These updated definitions of IFDs should prove applicable in clinical, diagnostic, and epidemiologic research of a broader range of patients at high-risk.
1,211 citations
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TL;DR: In this paper, the authors discuss the role of the mind in prediction in human beings' ability to reason about the world and their ability to predict the future, including the ability of the human mind to make predictions.
Abstract: Preface Introduction PART I: THE MECHANISM 1. Perception as causal inference 2. Prediction error minimisation 3. Prediction error, context, and precision 4. Action and expected experience PART II: THE WORLD 5. Binding is inference 6. Is predicting seeing? 7. Precarious prediction 8. Surprise and misrepresentation PART III: THE MIND 9. Precision, attention, and consciousness 10. Perceptual unity in action 11. The fragile mirror of nature 12. Into the predictive mind Concluding remarks: The mind in prediction Acknowledgements Bibliography Index
1,203 citations
Authors
Showing all 36568 results
Name | H-index | Papers | Citations |
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Bert Vogelstein | 247 | 757 | 332094 |
Kenneth W. Kinzler | 215 | 640 | 243944 |
David J. Hunter | 213 | 1836 | 207050 |
David R. Williams | 178 | 2034 | 138789 |
Yang Yang | 171 | 2644 | 153049 |
Lei Jiang | 170 | 2244 | 135205 |
Dongyuan Zhao | 160 | 872 | 106451 |
Christopher J. O'Donnell | 159 | 869 | 126278 |
Leif Groop | 158 | 919 | 136056 |
Mark E. Cooper | 158 | 1463 | 124887 |
Theo Vos | 156 | 502 | 186409 |
Mark J. Smyth | 153 | 713 | 88783 |
Rinaldo Bellomo | 147 | 1714 | 120052 |
Detlef Weigel | 142 | 516 | 84670 |
Geoffrey Burnstock | 141 | 1488 | 99525 |