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Institution

University of Salford

EducationSalford, Manchester, United Kingdom
About: University of Salford is a education organization based out in Salford, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 13049 authors who have published 22957 publications receiving 537330 citations. The organization is also known as: University of Salford Manchester & The University of Salford Manchester.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a method for calculating the pore size distribution from adsorption isotherms on porous solids is described, which is more exact and less tedious to use than some previously described methods.
Abstract: A method for calculating the pore size distribution from adsorption isotherms on porous solids is described, which is more exact and less tedious to use than some previously described methods. The method of compiling tables for calculation is shown and an example of such a calculation is given.

809 citations

Journal ArticleDOI
TL;DR: Radiotherapy to the prostate did not improve overall survival for unselected patients with newly diagnosed metastatic prostate cancer, and the benefit would be greatest in patients with a low metastatic burden.

794 citations

Journal ArticleDOI
TL;DR: These guidelines present evidence‐based guidance for treatment, with identification of the strength of evidence available at the time of preparation of the guidelines, and a brief overview of epidemiological aspects, diagnosis and investigation.
Abstract: This article represents a planned regular updating of the previous British Association of Dermatologists guidelines for the management of basal cell carcinoma. These guidelines present evidence-based guidance for treatment, with identification of the strength of evidence available at the time of preparation of the guidelines, and a brief overview of epidemiological aspects, diagnosis and investigation.

792 citations

Journal ArticleDOI
TL;DR: In this article, Sampathu et al. proposed a new classification system for FTLD-TDP pathology, which is a single harmonized system that replaces the two currently in use.
Abstract: In 2006, two papers were published, each describing pathological heterogeneity in cases of frontotemporal lobar degeneration (FTLD) with ubiquitin-positive, tau-negative inclusions (FTLD-U) [7, 11]. In both studies, large series of cases were evaluated and the investigators felt that they could recognize three distinct histological patterns, based on the morphology and anatomical distribution of ubiquitin immunoreactive neuronal inclusions. The findings of Sampathu et al. were further supported by differential labelling of the pathology, using a panel of novel monoclonal antibodies; whereas, Mackenzie et al. found relatively specific clinicopathological correlations. Most importantly, the pathological features that defined the subtypes in these two studies were almost identical, providing powerful validation of the results. However, because the studies were conducted simultaneously and independently, the numbering of the subtypes, used in the respective papers, did not match (Table 1). Table 1 Proposed new classification system for FTLD-TDP pathology, compared with existing systems Shortly thereafter, further work by one of the two groups led to the identification of the transactive response DNA-binding protein with Mr 43 kD (TDP-43) as the ubiquitinated pathological protein in most cases of FTLD-U as well as the majority of sporadic amyotrophic lateral sclerosis (ALS) and some familial ALS [10]. It was subsequently confirmed that most FTLD-U cases had TDP-43 pathology and that the same pathological patterns could be recognized based on the results of TDP-43 immunohistochemistry (IHC) [1, 2]. By this time, a fourth FTLD-U subtype had been described, specifically associated with the familial syndrome of inclusion body myopathy with Paget’s disease of bone and frontotemporal dementia (IBMPFD) caused by mutations in the valosin-containing protein (VCP) gene [4], and this was also shown to have TDP-43 pathology [9]. As a result, cases of FTLD with TDP-43 pathology are now designated as FTLD-TDP and the term FTLD-U is no longer recommended [8]. The two classification systems for FTLD-U/FTLD-TDP have now gained wide acceptance and have repeatedly been validated by the discovery of additional clinical, genetic and pathological correlations. However, the continued use of two discordant numbering systems proves to be an ongoing source of confusion within the field. Previous attempts, by other groups of authors, to promote one classification over the other have not been successful. To resolve this issue, the principal authors of the original two papers are now proposing a new classification for FTLD-TDP pathology, the sole purpose of which is to provide a single harmonized system that replaces the two currently in use. In developing this new classification, the following principles were adhered to: (1) different pathological subtypes are designated by letters to help distinguish this from the pre-existing number-based systems, (2) the order of subtypes should not exactly match either of the previous systems to avoid any apparent bias, and (3) the order of the subtypes should be based on their relative frequency, with “A” being the most common. The result is summarized in Table 1. Type A is equivalent to type 1 of Mackenzie et al. and type 3 of Sampathu et al., being characterized by numerous short dystrophic neurites (DN) and crescentic or oval neuronal cytoplasmic inclusions (NCI), concentrated primarily in neocortical layer 2. Moderate numbers of lentiform neuronal intranuclear inclusions (NII) are also a common but inconsistent feature of this subtype. Type B matches Mackenzie et al. type 3 and Sampathu et al. type 2, with moderate numbers of NCI, throughout all cortical layers, but very few DN. Type C is the same as Mackenzie et al. type 2 and Sampathu et al. type 1, having a predominance of elongated DN in upper cortical layers, with very few NCI. Finally, Type D refers to the pathology associated with IBMPFD caused by VCP mutations, characterized by numerous short DN and frequent lentiform NII. Based on the results of more recent studies, there are a number of other modifications that we could have considered incorporating into this new system. Additional pathological subtypes could be added; for instance, to describe the TDP-43 pathology that is found in the mesial temporal lobe in a high proportion of cases of Alzheimer’s disease and most other common neurodegenerative conditions [3]. The pathological criteria for each of the subtypes could be expanded to include characteristic findings in subcortical regions [5, 6]. The description of the pathological features could be modified to take into account the greater sensitivity and specificity of TDP-43 IHC, which may demonstrate additional findings, not recognized with the ubiquitin immunostaining techniques upon which the original classifications were based (such as neuronal “pre-inclusions”) [2]. Although these and other recent findings represent important advances in our understanding of FTLD-TDP, most have not yet been broadly replicated or completely defined. Therefore, in order to make the transition to a new classification as simple and widely acceptable as possible and, most importantly, to allow for direct translation with the currently existing systems, we are not proposing any other significant changes, beyond the coding of the subtypes. In summary, we believed that adoption of a single harmonized system for the classification of FTLD-TDP neuropathology would greatly improve communication within the rapidly advancing field of FTLD diagnosis and research. Future attempts to resolve any outstanding issues related to the practical implementation and interpretation of FTLD pathological classification should also benefit. As indicated by their inclusion as co-authors on this paper, this proposal has received the unanimous support of all of the neuropathologists involved in the original two studies [7, 11].

782 citations


Authors

Showing all 13134 results

NameH-indexPapersCitations
Hongjie Dai197570182579
Michael P. Lisanti15163185150
Matthew Jones125116196909
David W. Denning11373666604
Wayne Hall111126075606
Richard Gray10980878580
Christopher E.M. Griffiths10867147675
Thomas P. Davis10772441495
Nicholas Tarrier9232625881
David M. A. Mann8833843292
Ajith Abraham86111331834
Federica Sotgia8524728751
Mike Hulme8430035436
Robert N. Foley8426031580
Richard Baker8351422970
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
2022139
2021880
2020888
2019842
2018781