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Institution

Guy's and St Thomas' NHS Foundation Trust

HealthcareLondon, United Kingdom
About: Guy's and St Thomas' NHS Foundation Trust is a healthcare organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 7686 authors who have published 9631 publications receiving 399353 citations. The organization is also known as: Guy's and St Thomas' National Health Service Foundation Trust & Guy's and St Thomas' National Health Service Trust.


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Journal ArticleDOI
01 May 2011-Stroke
TL;DR: The cumulative risk of recurrence varies greatly up to 10 years, and methodological differences are likely to play an important role and consensus on definitions would improve future comparability of estimates and characterization of groups of stroke survivors at increased risk ofRecurrence.
Abstract: Background and Purpose—Estimates of risk of stroke recurrence are widely variable and focused on the short- term. A systematic review and meta-analysis was conducted to estimate the pooled cumulative risk of stroke recurrence. Methods—Studies reporting cumulative risk of recurrence after first-ever stroke were identified using electronic databases and by manually searching relevant journals and conference abstracts. Overall cumulative risks of stroke recurrence at 30 days and 1, 5, and 10 years after first stroke were calculated, and analyses for heterogeneity were conducted. A Weibull model was fitted to the risk of stroke recurrence of the individual studies and pooled estimates were calculated with 95% CI. Results—Sixteen studies were identified, of which 13 studies reported cumulative risk of stroke recurrence in 9115 survivors. The pooled cumulative risk was 3.1% (95% CI, 1.7–4.4) at 30 days, 11.1% (95% CI, 9.0–13.3) at 1 year, 26.4% (95% CI, 20.1–32.8) at 5 years, and 39.2% (95% CI, 27.2–51.2) at 10...

505 citations

Journal ArticleDOI
TL;DR: Angiotensin II effectively increased blood pressure in patients with vasodilatory shock that did not respond to high doses of conventional vasopressors.
Abstract: BackgroundVasodilatory shock that does not respond to high-dose vasopressors is associated with high mortality. We investigated the effectiveness of angiotensin II for the treatment of patients with this condition. MethodsWe randomly assigned patients with vasodilatory shock who were receiving more than 0.2 μg of norepinephrine per kilogram of body weight per minute or the equivalent dose of another vasopressor to receive infusions of either angiotensin II or placebo. The primary end point was a response with respect to mean arterial pressure at hour 3 after the start of infusion, with response defined as an increase from baseline of at least 10 mm Hg or an increase to at least 75 mm Hg, without an increase in the dose of background vasopressors. ResultsA total of 344 patients were assigned to one of the two regimens; 321 received a study intervention (163 received angiotensin II, and 158 received placebo) and were included in the analysis. The primary end point was reached by more patients in the angiote...

499 citations

Journal ArticleDOI
TL;DR: Differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index and the transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models.
Abstract: Disease incidences increase with age, but the molecular characteristics of ageing that lead to increased disease susceptibility remain inadequately understood. Here we perform a whole-blood gene expression meta-analysis in 14,983 individuals of European ancestry (including replication) and identify 1,497 genes that are differentially expressed with chronological age. The age-associated genes do not harbor more age-associated CpG-methylation sites than other genes, but are instead enriched for the presence of potentially functional CpG-methylation sites in enhancer and insulator regions that associate with both chronological age and gene expression levels. We further used the gene expression profiles to calculate the 'transcriptomic age' of an individual, and show that differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index. The transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models, and can be used by others to calculate transcriptomic age in external cohorts.

490 citations

Journal ArticleDOI
TL;DR: Relaxed patient selection criteria, improved clinical management of hearing loss, modifications of surgical practice, and improved devices may explain the differences.
Abstract: Objective: To update a 15-year-old study of 800 postlinguistically deaf adult patients showing how duration of severe to profound hearing loss, age at cochlear implantation (CI), age at onset of severe to profound hearing loss, etiology and CI experience affected CI outcome. Study Design: Retrospective multicenter study. Methods: Data from 2251 adult patients implanted since 2003 in 15 international centers were collected and speech scores in quiet were converted to percentile ranks to remove differences between centers. Results: The negative effect of long duration of severe to profound hearing loss was less important in the new data than in 1996; the effects of age at CI and age at onset of severe to profound hearing loss were delayed until older ages; etiology had a smaller effect, and the effect of CI experience was greater with a steeper learning curve. Patients with longer durations of severe to profound hearing loss were less likely to improve with CI experience than patients with shorter duration of severe to profound hearing loss. Conclusions: The factors that were relevant in 1996 were still relevant in 2011, although their relative importance had changed. Relaxed patient selection criteria, improved clinical management of hearing loss, modifications of surgical practice, and improved devices may explain the differences.

476 citations


Authors

Showing all 7765 results

NameH-indexPapersCitations
Christopher J L Murray209754310329
Bruce M. Psaty1811205138244
Giuseppe Remuzzi1721226160440
Mika Kivimäki1661515141468
Simon I. Hay165557153307
Theo Vos156502186409
Ali H. Mokdad156634160599
Steven Williams144137586712
Igor Rudan142658103659
Mohsen Naghavi139381169048
Christopher D.M. Fletcher13867482484
Martin McKee1381732125972
David A. Jackson136109568352
Graham G. Giles136124980038
Yang Liu1292506122380
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202298
20211,488
20201,123
2019829
2018767