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Institution

Monash University

EducationMelbourne, 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
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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Book
Jakob Hohwy1
28 Nov 2013
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

NameH-indexPapersCitations
Bert Vogelstein247757332094
Kenneth W. Kinzler215640243944
David J. Hunter2131836207050
David R. Williams1782034138789
Yang Yang1712644153049
Lei Jiang1702244135205
Dongyuan Zhao160872106451
Christopher J. O'Donnell159869126278
Leif Groop158919136056
Mark E. Cooper1581463124887
Theo Vos156502186409
Mark J. Smyth15371388783
Rinaldo Bellomo1471714120052
Detlef Weigel14251684670
Geoffrey Burnstock141148899525
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023250
20221,020
20219,402
20208,419
20197,409
20186,437