Institution
University of Pittsburgh
Education•Pittsburgh, Pennsylvania, United States•
About: University of Pittsburgh is a education organization based out in Pittsburgh, Pennsylvania, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 87042 authors who have published 201012 publications receiving 9656783 citations. The organization is also known as: Pitt & Western University of Pennsylvania.
Topics: Population, Transplantation, Poison control, Cancer, Medicine
Papers published on a yearly basis
Papers
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TL;DR: The scope and purpose of this work is to synthesize the available evidence and to translate it into recommendations, so that these recommendations be used by others to develop treatment protocols, which necessarily need to incorporate consensus and clinical judgment in areas where current evidence is lacking or insufficient.
Abstract: The scope and purpose of this work is 2-fold: to synthesize the available evidence and to translate it into recommendations. This document provides recommendations only when there is evidence to support them. As such, they do not constitute a complete protocol for clinical use. Our intention is that these recommendations be used by others to develop treatment protocols, which necessarily need to incorporate consensus and clinical judgment in areas where current evidence is lacking or insufficient. We think it is important to have evidence-based recommendations to clarify what aspects of practice currently can and cannot be supported by evidence, to encourage use of evidence-based treatments that exist, and to encourage creativity in treatment and research in areas where evidence does not exist. The communities of neurosurgery and neuro-intensive care have been early pioneers and supporters of evidence-based medicine and plan to continue in this endeavor. The complete guideline document, which summarizes and evaluates the literature for each topic, and supplemental appendices (A-I) are available online at https://www.braintrauma.org/coma/guidelines.
2,703 citations
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TL;DR: In six of eight MCV-positive MCCs, viral DNA was integrated within the tumor genome in a clonal pattern, suggesting that MCV infection and integration preceded clonal expansion of the tumor cells, and MCV may be a contributing factor in the pathogenesis of MCC.
Abstract: Merkel cell carcinoma (MCC) is a rare but aggressive human skin cancer that typically affects elderly and immunosuppressed individuals, a feature suggestive of an infectious origin. We studied MCC samples by digital transcriptome subtraction and detected a fusion transcript between a previously undescribed virus T antigen and a human receptor tyrosine phosphatase. Further investigation led to identification and sequence analysis of the 5387-base-pair genome of a previously unknown polyomavirus that we call Merkel cell polyomavirus (MCV or MCPyV). MCV sequences were detected in 8 of 10 (80%) MCC tumors but only 5 of 59 (8%) control tissues from various body sites and 4 of 25 (16%) control skin tissues. In six of eight MCV-positive MCCs, viral DNA was integrated within the tumor genome in a clonal pattern, suggesting that MCV infection and integration preceded clonal expansion of the tumor cells. Thus, MCV may be a contributing factor in the pathogenesis of MCC.
2,688 citations
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TL;DR: Tissue decellularization with preservation of ECM integrity and bioactivity can be optimized by making educated decisions regarding the agents and techniques utilized during processing.
2,677 citations
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TL;DR: In this article, the grain-size dependence of parameters with coercive force as high as 2,000 Oe in x = 0.6 titanomagnetite was found.
2,657 citations
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University of Pittsburgh1, Kaiser Permanente2, University of Michigan3, University of Washington4, Sunnybrook Health Sciences Centre5, Guy's and St Thomas' NHS Foundation Trust6, University College London7, The Feinstein Institute for Medical Research8, Veterans Health Administration9, Monash University10
TL;DR: To evaluate the validity of clinical criteria to identify patients with suspected infection who are at risk of sepsis, a new model derived using multivariable logistic regression in a split sample was derived.
Abstract: RESULTS In the primary cohort, 148 907 encounters had suspected infection (n = 74 453 derivation; n = 74 454 validation), of whom 6347 (4%) died. Among ICU encounters in the validation cohort (n = 7932 with suspected infection, of whom 1289 [16%] died), the predictive validity for in-hospital mortality was lower for SIRS (AUROC = 0.64; 95% CI, 0.62-0.66) and qSOFA (AUROC = 0.66; 95% CI, 0.64-0.68) vs SOFA (AUROC = 0.74; 95% CI, 0.73-0.76; P < .001 for both) or LODS (AUROC = 0.75; 95% CI, 0.73-0.76; P < .001 for both). Among non-ICU encounters in the validation cohort (n = 66 522 with suspected infection, of whom 1886 [3%] died), qSOFA had predictive validity (AUROC = 0.81; 95% CI, 0.80-0.82) that was greater than SOFA (AUROC = 0.79; 95% CI, 0.78-0.80; P < .001) and SIRS (AUROC = 0.76; 95% CI, 0.75-0.77; P < .001). Relative to qSOFA scores lower than 2, encounters with qSOFA scores of 2 or higher had a 3- to 14-fold increase in hospital mortality across baseline risk deciles. Findings were similar in external data sets and for the secondary outcome.
2,639 citations
Authors
Showing all 87737 results
Name | H-index | Papers | Citations |
---|---|---|---|
JoAnn E. Manson | 270 | 1819 | 258509 |
Graham A. Colditz | 261 | 1542 | 256034 |
Yi Chen | 217 | 4342 | 293080 |
David J. Hunter | 213 | 1836 | 207050 |
David Miller | 203 | 2573 | 204840 |
Rakesh K. Jain | 200 | 1467 | 177727 |
Lewis C. Cantley | 196 | 748 | 169037 |
Dennis W. Dickson | 191 | 1243 | 148488 |
Terrie E. Moffitt | 182 | 594 | 150609 |
Dennis S. Charney | 179 | 802 | 122408 |
Ronald C. Petersen | 178 | 1091 | 153067 |
David L. Kaplan | 177 | 1944 | 146082 |
Jasvinder A. Singh | 176 | 2382 | 223370 |
Richard K. Wilson | 173 | 463 | 260000 |
Deborah J. Cook | 173 | 907 | 148928 |