2,497 publications from this institution
Published epidemiological investigations almost universally highlight significant associations between risk factors and outcomes. For continuous risk factors, investigators selectively present contrasts between more extreme groups, when relative risks are inherently lower.
Mathematical models have become very influential, especially during the COVID-19 pandemic. Data and code sharing are indispensable for reproducing them, protocol registration may be useful sometimes, and declarations of conflicts of interest (COIs) and of funding are quintessential for transparency. Here, we evaluated these features in publications of infectious disease-related models and assessed whether there were differences before and during the COVID-19 pandemic and for COVID-19 models versus models for other diseases. We analysed all PubMed Central open access publications of infectious disease models published in 2019 and 2021 using previously validated text mining algorithms of transparency indicators. We evaluated 1338 articles: 216 from 2019 and 1122 from 2021 (of which 818 were on COVID-19); almost a six-fold increase in publications within the field. 511 (39.2%) were compartmental models, 337 (25.2%) were time series, 279 (20.9%) were spatiotemporal, 186 (13.9%) were agent-based and 25 (1.9%) contained multiple model types. 288 (21.5%) articles shared code, 332 (24.8%) shared data, 6 (0.4%) were registered, and 1197 (89.5%) and 1109 (82.9%) contained COI and funding statements, respectively. There was no major changes in transparency indicators between 2019 and 2021. COVID-19 articles were less likely to have funding statements and more likely to share code. Further validation was performed by manual assessment of 10% of the articles identified by text mining as fulfilling transparency indicators and of 10% of the articles lacking them. Correcting estimates for validation performance, 26.0% of papers shared code and 41.1% shared data. On manual assessment, 5/6 articles identified as registered had indeed been registered. Of articles containing COI and funding statements, 95.8% disclosed no conflict and 11.7% reported no funding. Transparency in infectious disease modelling is relatively low, especially for data and code sharing. This is concerning, considering the nature of this research and the heightened influence it has acquired.
PURPOSE: To synthesize the available randomized evidence on the efficacy of dexamethasone when used for protection against acute and delayed nausea and vomiting in patients receiving highly or moderately emetogenic cancer chemotherapy. MATERIALS AND METHODS: A meta-analysis was performed using trials identified through MEDLINE (1966 to April 1999), Embase, Derwent Drug File, and the Cochrane Library’s Database of Controlled Trials. Data on acute and delayed emesis and nausea were collected. All randomized studies comparing dexamethasone to placebo, no treatment, or other antiemetics qualified, including cross-over trials providing first-cycle data. RESULTS: Of 1,200 citations screened, 32 studies with 42 pertinent comparisons and 5,613 patients were included in the meta-analysis. Dexamethasone was superior to placebo or no treatment for complete protection from acute emesis (odds ratio, 2.22; 95% confidence interval [CI], 1.89 to 2.60) and for complete protection from delayed emesis (odds ratio, 2.04; 95% CI, 1.63 to 2.56). The results were similar for complete protection from nausea. The pooled risk difference for complete protection from emesis was 16% for both the acute and delayed phases (95% CI, 13% to 19% and 11% to 20%, respectively). The beneficial effect was similar in subgroups defined by various study design parameters. No trial addressed the efficacy of dexamethasone in the delayed phase without having administered dexamethasone for acute-phase protection as well. CONCLUSION: Dexamethasone is clearly effective in protecting from emesis both in the acute and delayed phases, with emesis avoided in one patient out of six treated. Future trials should determine whether the delayed-phase effect is independent of the acute-phase benefit.
An 8-Gb/s 0.3-/spl mu/m CMOS transceiver uses multilevel signaling (4-PAM) and transmit preshaping in combination with receive equalization to reduce intersymbol interference due to channel low-pass effects. High on-chip frequencies are avoided by multiplexing and demultiplexing the data directly at the pads. Timing recovery takes advantage of a novel frequency acquisition scheme and a linear phase-locked loop that achieves a loop bandwidth of 35 MHz, phase margin of 50/spl deg/, and capture range of 20 MHz without a frequency acquisition aid. The transmitted 8 Gb/s data are successfully detected by the receiver after a 10-m coaxial cable. The 2/spl times/2 mm/sup 2/ chip consumes 1.1 W at 8 Gb/s with a 3-V supply.
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MIPS-X is the successor to the MIPS project at Stanford University. Like its predecessor, it is a single chip VLSI processor that uses a simplified instruction set, pipelining and a software code reorganizer to obtain high performance. Key features include single cycle execution of all instructions, use of an on-chip 512-word instruction cache, coprocessor support, and support for multiprocessor operation. The processor is being designed in a 2 micron, 2-level metal CMOS technology, and should have a cycle time of 50 ns.
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