Institution
University of Auckland
Education•Auckland, New Zealand•
About: University of Auckland is a education organization based out in Auckland, New Zealand. It is known for research contribution in the topics: Population & Context (language use). The organization has 28049 authors who have published 77706 publications receiving 2689366 citations. The organization is also known as: The University of Auckland & Auckland University College.
Topics: Population, Context (language use), Poison control, Health care, Randomized controlled trial
Papers published on a yearly basis
Papers
More filters
••
TL;DR: The results are robust to assumptions about the rooting and calibration of the trees and demonstrate the combined power of linguistic scholarship, database technologies, and computational phylogenetic methods for resolving questions about human prehistory.
Abstract: Debates about human prehistory often center on the role that population expansions play in shaping biological and cultural diversity. Hypotheses on the origin of the Austronesian settlers of the Pacific are divided between a recent “pulse-pause” expansion from Taiwan and an older “slow-boat” diffusion from Wallacea. We used lexical data and Bayesian phylogenetic methods to construct a phylogeny of 400 languages. In agreement with the pulse-pause scenario, the language trees place the Austronesian origin in Taiwan approximately 5230 years ago and reveal a series of settlement pauses and expansion pulses linked to technological and social innovations. These results are robust to assumptions about the rooting and calibration of the trees and demonstrate the combined power of linguistic scholarship, database technologies, and computational phylogenetic methods for resolving questions about human prehistory.
632 citations
••
University of Pittsburgh1, Utrecht University2, Imperial College Healthcare3, Université Paris-Saclay4, King Saud bin Abdulaziz University for Health Sciences5, University of Oxford6, St. Michael's Hospital7, University of Bristol8, Monash University9, University of Amsterdam10, NHS Blood and Transplant11, University of Antwerp12, Mahidol University13, Princess Alexandra Hospital14, Université de Sherbrooke15, University Health Network16, University of Western Australia17, University of Toronto18, Queen's University Belfast19, Auckland City Hospital20, Health Research Council of New Zealand21, University of British Columbia22, University of Auckland23, Radboud University Nijmegen24, The George Institute for Global Health25, University of Manitoba26, UCLA Medical Center27, University of California, Los Angeles28, St John of God Subiaco Hospital29
TL;DR: To determine whether hydrocortisone improves outcome for patients with severe COVID-19, an ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin was conducted.
Abstract: Importance Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures The primary end point was organ support–free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned –1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support–free days were 0 (IQR, –1 to 15), 0 (IQR, –1 to 13), and 0 (–1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support–free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support–free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration ClinicalTrials.gov Identifier:NCT02735707
630 citations
••
TL;DR: It is suggested that universal primers targeted to mononucleotide repeats may serve as general tools to study chloroplast variation in angiosperms where database information is limited.
Abstract: Short runs of mononucleotide repeats are present in chloroplast genomes of higher plants. In soybean, rice, and pine, PCR (polymerase chain reaction) with flanking primers has shown that the number...
630 citations
01 Jan 2014
627 citations
••
TL;DR: The Python package tsfresh (Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests) accelerates this process by combining 63 time series characterization methods, which by default compute a total of 794 time series features, with feature selection on basis automatically configured hypothesis tests.
626 citations
Authors
Showing all 28484 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Meir J. Stampfer | 277 | 1414 | 283776 |
Frank E. Speizer | 193 | 636 | 135891 |
Bernard Rosner | 190 | 1162 | 147661 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Rory Collins | 162 | 489 | 193407 |
Monique M.B. Breteler | 159 | 546 | 93762 |
Charles H. Hennekens | 150 | 424 | 117806 |
Rajesh Kumar | 149 | 4439 | 140830 |
Hugh A. Sampson | 147 | 816 | 76492 |
David P. Strachan | 143 | 472 | 105256 |
Jun Lu | 135 | 1526 | 99767 |
Peter Zoller | 134 | 734 | 76093 |
David H. Barlow | 133 | 786 | 72730 |
Henry T. Lynch | 133 | 925 | 86270 |