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Institution

King's College London

EducationLondon, United Kingdom
About: King's College London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Mental health. The organization has 43107 authors who have published 113125 publications receiving 4498103 citations. The organization is also known as: King's & KCL.


Papers
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Journal ArticleDOI
TL;DR: Adalimumab significantly improved joint and skin manifestations, inhibited structural changes on radiographs, lessened disability due to joint damage, and improved quality of life in patients with moderately to severely active PsA.
Abstract: Objective Adalimumab, a fully human, anti–tumor necrosis factor monoclonal antibody, was evaluated for its safety and efficacy compared with placebo in the treatment of active psoriatic arthritis (PsA). Methods Patients with moderately to severely active PsA and a history of inadequate response to nonsteroidal antiinflammatory drugs were randomized to receive 40 mg adalimumab or placebo subcutaneously every other week for 24 weeks. Study visits were at baseline, weeks 2 and 4, and every 4 weeks thereafter. The primary efficacy end points were the American College of Rheumatology 20% improvement (ACR20) response at week 12 and the change in the modified total Sharp score of structural damage at week 24. Secondary end points were measures of joint disease, disability, and quality of life in all patients, as well as the severity of skin disease in those patients with psoriasis involving at least 3% of body surface area. Results At week 12, 58% of the adalimumab-treated patients (87 of 151) achieved an ACR20 response, compared with 14% of the placebo-treated patients (23 of 162) (P < 0.001). At week 24, similar ACR20 response rates were maintained and the mean change in the modified total Sharp score was −0.2 in patients receiving adalimumab and 1.0 in those receiving placebo (P < 0.001). Among the 69 adalimumab-treated patients evaluated with the Psoriasis Area and Severity Index (PASI), 59% achieved a 75% PASI improvement response at 24 weeks, compared with 1% of the 69 placebo-treated patients evaluated (P < 0.001). Disability and quality of life measures were also significantly improved with adalimumab treatment compared with placebo. Adalimumab was generally safe and well-tolerated. Conclusion Adalimumab significantly improved joint and skin manifestations, inhibited structural changes on radiographs, lessened disability due to joint damage, and improved quality of life in patients with moderately to severely active PsA.

849 citations

Proceedings ArticleDOI
23 Jan 1994
TL;DR: An extensive computational study of shortest paths algorithms, including some very recent algorithms, is conducted, based on several natural problem classes which identify strengths and weaknesses of various algorithms.
Abstract: We conduct an extensive computational study of shortest paths algorithms, including some very recent algorithms. We also suggest new algorithms motivated by the experimental results and prove interesting theoretical results suggested by the experimental data. Our computational study is based on several natural problem classes which identify strengths and weaknesses of various algorithms. These problem classes and algorithm implementations form an environment for testing the performance of shortest paths algorithms. The interaction between the experimental evaluation of algorithm behavior and the theoretical analysis of algorithm performance plays an important role in our research.

849 citations

Journal ArticleDOI
TL;DR: The clinical and demographic characteristics and COVID-19 outcomes in patients with cancer appear to be principally driven by age, gender, and comorbidities.

846 citations

Journal ArticleDOI
TL;DR: In this study the optic disc, blood vessels, and fovea were accurately detected and the identification of the normal components of the retinal image will aid the future detection of diseases in these regions.
Abstract: Aim—To recognise automatically the main components of the fundus on digital colour images. Methods—The main features of a fundus retinal image were defined as the optic disc, fovea, and blood vessels. Methods are described for their automatic recognition and location. 112 retinal images were preprocessed via adaptive, local, contrast enhancement. The optic discs were located by identifying the area with the highest variation in intensity of adjacent pixels. Blood vessels were identified by means of a multilayer perceptron neural net, for which the inputs were derived from a principal component analysis (PCA) of the image and edge detection of the first component of PCA. The foveas were identified using matching correlation together with characteristics typical of a fovea—for example, darkest area in the neighbourhood of the optic disc. The main components of the image were identified by an experienced ophthalmologist for comparison with computerised methods. Results—The sensitivity and specificity of the recognition of each retinal main component was as follows:99.1% and 99.1% for the optic disc; 83.3% and 91.0% for blood vessels; 80.4% and 99.1% for the fovea. Conclusions—In this study the optic disc, blood vessels, and fovea were accurately detected. The identification of the normal components of the retinal image will aid the future detection of diseases in these regions. In diabetic retinopathy, for example,an image could be analysed for retinopathy with reference to sight threatening complications such as disc neovascularisation, vascular changes, or foveal exudation. (Br J Ophthalmol 1999;83:902‐910)

846 citations


Authors

Showing all 43962 results

NameH-indexPapersCitations
Cyrus Cooper2041869206782
David Miller2032573204840
Rob Knight2011061253207
Mark I. McCarthy2001028187898
Michael Rutter188676151592
Eric Boerwinkle1831321170971
Terrie E. Moffitt182594150609
Kenneth S. Kendler1771327142251
John Hardy1771178171694
Dorret I. Boomsma1761507136353
Barry Halliwell173662159518
Feng Zhang1721278181865
Simon Baron-Cohen172773118071
Phillip A. Sharp172614117126
Yang Yang1712644153049
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023274
20221,271
202110,165
20209,250
20197,981