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629 results on '"Shepherd, Neil A"'

52. sj-pdf-2-pat-10.1177_2632010X221088960 – Supplemental material for Infrared Spectroscopic Analysis in the Differentiation of Epithelial Misplacement From Adenocarcinoma in Sigmoid Colonic Adenomatous Polyps

Author

Nallala, Jayakrupakar, Griggs, Rebecca, Lloyd, Gavin R, Stone, Nick, and Shepherd, Neil A

Subjects
110309 Infectious Diseases, FOS: Health sciences, digestive system diseases
Abstract

Supplemental material, sj-pdf-2-pat-10.1177_2632010X221088960 for Infrared Spectroscopic Analysis in the Differentiation of Epithelial Misplacement From Adenocarcinoma in Sigmoid Colonic Adenomatous Polyps by Jayakrupakar Nallala, Rebecca Griggs, Gavin R Lloyd, Nick Stone and Neil A Shepherd in Clinical Pathology

Published
2022
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53. sj-pdf-1-pat-10.1177_2632010X221088960 – Supplemental material for Infrared Spectroscopic Analysis in the Differentiation of Epithelial Misplacement From Adenocarcinoma in Sigmoid Colonic Adenomatous Polyps

Author

Nallala, Jayakrupakar, Griggs, Rebecca, Lloyd, Gavin R, Stone, Nick, and Shepherd, Neil A

Subjects
110309 Infectious Diseases, FOS: Health sciences, digestive system diseases
Abstract

Supplemental material, sj-pdf-1-pat-10.1177_2632010X221088960 for Infrared Spectroscopic Analysis in the Differentiation of Epithelial Misplacement From Adenocarcinoma in Sigmoid Colonic Adenomatous Polyps by Jayakrupakar Nallala, Rebecca Griggs, Gavin R Lloyd, Nick Stone and Neil A Shepherd in Clinical Pathology

Published
2022
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58. Incidental findings in the bowel cancer population screening program: other polyps and malignancies – A nationwide study.

Author

Nagtegaal, Iris D., Vink-Börger, Elisa, Kuijpers, Chantal C. H. J., Dekker, Evelien, and Shepherd, Neil A.

Subjects
EARLY detection of cancer, POLYPS, HEREDITARY cancer syndromes, COLON polyps, ASYMPTOMATIC patients
Abstract

The introduction of bowel cancer population screening programs has had a profound impact on gastrointestinal pathology. While the focus is mainly on quality assurance of diagnoses relevant for the outcome of these programs (colorectal cancer and its precursors), incidental findings are increasingly diagnosed. The incidence of such findings is largely unknown. Therefore, we investigated the incidence of incidental findings within the national screening program of the Netherlands. From the Dutch nationwide pathology databank (PALGA), we retrieved all histological diagnoses of patients participating in the national bowel cancer screening program from the start in 2014 until 1/ 1/2021. Descriptive statistics were used. During these 7 years, in total 9407 other polyps and malignancies (262 per 10,000 colonoscopies) were diagnosed. The majority (65%) were classified as inflammatory polyps. The most common malignancies were neuroendocrine tumours (n = 198, 6 per 10,000 colonoscopies); less common were lymphomas (n = 64) and metastases (n = 33). Mesenchymal polyps, such as leiomyomas and lipomas, were relatively common (27 and 16 per 10,000 colonoscopies, respectively), in comparison with neural polyps such as perineuriomas, ganglioneuromas, and neurofibromas (respectively 3, 2, and 1 per 10,000 colonoscopies). This is the largest study into the incidence of nonconventional colorectal polyps and malignancies in a homogeneous cohort of asymptomatic patients. Several of these diagnoses may have consequences for treatment and followup, in particular the malignancies and detection of patients with hereditary cancer syndromes. [ABSTRACT FROM AUTHOR]

Published
2023
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59. Deciding Fast:Examining the Relationship between Strategic Decision Speed and Decision Quality across Multiple Environmental Contexts

Author

Shepherd, Neil, Mooi, Erik A, Elbanna, Said, and Rudd, John

Abstract

Rapid innovation, shortened product life cycles and fierce competition place great pressures on top managers to make fast strategic decisions. However, a key question in strategic decision-making research is whether decision speed helps or harms decision quality, and there is a shortage of theory and evidence concerning the consequences of decision speed across different environmental contexts. We develop new theory by considering the effects of decision speed on decision quality under conditions of environmental munificence, under conditions of dynamism, and under the joint conditions of munificence and dynamism. We test our theory through analysis of multi-informant survey data drawn from top management teams and secondary databases, in 117 UK firms. Our findings demonstrate that munificence is the central generative mechanism which moderates the relationship between decision speed and decision quality, and markedly alters the previously theorized positive effects of decision speed in dynamic contexts.

Published
2021

65. The stem cell organisation, and the proliferative and gene expression profile of Barrettʼs epithelium, replicates pyloric-type gastric glands

Author

Lavery, Danielle L, Nicholson, Anna M, Poulsom, Richard, Jeffery, Rosemary, Hussain, Alia, Gay, Laura J, Jankowski, Janusz A, Zeki, Sebastian S, Barr, Hugh, Harrison, Rebecca, Going, James, Kadirkamanathan, Sritharan, Davis, Peter, Underwood, Timothy, Novelli, Marco R, Rodriguez-Justo, Manuel, Shepherd, Neil, Jansen, Marnix, Wright, Nicholas A, and McDonald, Stuart A C

Published
2014
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66. Deciding Fast : Examining the Relationship between Strategic Decision Speed and Decision Quality across Multiple Environmental Contexts

Author

Shepherd, Neil Gareth, Mooi, Erik A., Elbanna, Said, Rudd, John M., Shepherd, Neil Gareth, Mooi, Erik A., Elbanna, Said, and Rudd, John M.

Abstract

Rapid innovation, shortened product life cycles and fierce competition place great pressures on top managers to make fast strategic decisions. However, a key question in strategic decision-making research is whether decision speed helps or harms decision quality, and there is a shortage of theory and evidence concerning the consequences of decision speed across different environmental contexts. We develop new theory by considering the effects of decision speed on decision quality under conditions of environmental munificence, under conditions of dynamism, and under the joint conditions of munificence and dynamism. We test our theory through analysis of multi-informant survey data drawn from top management teams and secondary databases, in 117 UK firms. Our findings demonstrate that munificence is the central generative mechanism which moderates the relationship between decision speed and decision quality, and markedly alters the previously theorized positive effects of decision speed in dynamic contexts.

Published
2021

71. A pathologistʼs survey on the reporting of sessile serrated adenomas/polyps

Author

Chetty, Runjan, Bateman, Adrian C, Torlakovic, Emina, Wang, Lai Mun, Gill, Pelvender, Al-Badri, Adnan, Arends, Mark, Biddlestone, Leigh, Burroughs, Susan, Carey, Frank, Cowlishaw, David, Crowther, Stephen, Da Costa, Philip, Dada, Mahomed A, dʼAdhemar, Charles, Dasgupta, Kaushik, de Cates, Chandima, Deshpande, Vikram, Feakins, Roger M, Foria, Bineeta, Foria, Vipul, Fuller, Clare, Green, Bryan, Greenson, Joel K, Griffiths, Paul, Hafezi-Bakhtiari, Sara, Henry, James, Jaynes, Eleanor, Jeffers, Michael D, Kaye, Philip, Landers, Robert, Lauwers, Gregory Y, Loughrey, Maurice, Mapstone, Nicholas, Novelli, Marco, Odze, Robert, Poller, David, Rowsell, Corwyn, Sanders, Scott, Sarsfield, Patrick, Schofield, John B, Sheahan, Kieran, Shepherd, Neil, Sherif, Ali, Sington, James, Walsh, Shaun, Williams, Namor, and Wong, Newton

Published
2014
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72. Political Behavior Does Not (always) Undermine Strategic Decision-Making:Theory and Evidence

Author

Shepherd, Neil Gareth, Hodgkinson, Gerard P., Mooi, Dr Erik, Elbanna, Said, and Rudd, John Maynard

Abstract

Political behavior pervades strategic decision-making, often damaging decision quality and undermining organizational performance. However, little is currently known about how top management teams (TMTs) cope with such behavior. To address this shortfall, we draw on the upper echelons literature to advance a contingent account of the factors that differentiate well-functioning and dysfunctional TMTs. Focusing on the psychological context surrounding the TMT, we theorize that cognitive consensus, power decentralization, and behavioral integration are key generative mechanisms that enable TMTs to countermand the potentially deleterious consequences of political behavior. We corroborate our theorizing using a field study of 117 strategic decisions, drawn from multiple TMT informants and secondary databases. Confirming the majority of our hypotheses, our findings indicate that behaviorally integrated and decentralized TMTs are better equipped to attenuate the potentially damaging effects of organizational politics, thereby safeguarding the quality of their decision processes.

Published
2020

81. The Bowel Cancer Screening Programme Expert Board: an analysis of activity during 2017–2020.

Author

Bateman, Adrian C, Kurn, Octavia R, Novelli, Marco R, Rodriguez‐Justo, Manuel, Shepherd, Neil A, and Wong, Newton A C S

Subjects
EARLY detection of cancer, ADENOMATOUS polyps, DIFFERENTIAL diagnosis, CYTODIAGNOSIS
Abstract

Aims: The inception of the National Health Service Bowel Cancer Screening Programme in England in 2006 highlighted the fact that the differential diagnosis between the presence of epithelial misplacement and adenocarcinoma occurring in colorectal adenomas is problematic. The pathology Expert Board (EB) was created to facilitate the review of difficult cases by a panel of three experienced gastrointestinal pathologists. This article describes a review of the work of the EB over a 4‐year period (2017–2020). Methods and results: Four hundred and thirty polyps were referred to the EB from 193 pathologists and 76 hospitals during this time. The EB diagnosis was benign for 67%, malignant for 28%, and equivocal for 2% (with no consensus in the remainder). The most common diagnosis change made by the EB was from malignant to benign—made in 50% of polyps referred with an initially malignant diagnosis. The level of agreement between the individual EB members was 'good' (kappa score of 0.619) but that between the EB and the referring diagnosis was 'poor' (kappa score of 0.149). Data from one EB member indicated that the presence of lamina propria, features of torsion and cytological similarity between the superficial and deep glands were predictors of a benign diagnosis, whereas the presence of irregular neoplastic glands, a desmoplastic reaction and lymphovascular invasion were commonly observed features in polyps with a malignant diagnosis. Conclusion: Diagnostic agreement between EB members is better than that between the EB and referring pathologists. There was a consistent trend for the EB to change diagnoses from malignant to benign. [ABSTRACT FROM AUTHOR]

Published
2022
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87. Identification of Subtypes of Barrett’s Esophagus and Esophageal Adenocarcinoma Based on DNA Methylation Profiles and Integration of Transcriptome and Genome Data

Author

Jammula, SriGanesh, primary, Katz-Summercorn, Annalise C., additional, Li, Xiaodun, additional, Linossi, Constanza, additional, Smyth, Elizabeth, additional, Killcoyne, Sarah, additional, Biasci, Daniele, additional, Subash, Vinod V., additional, Abbas, Sujath, additional, Blasko, Adrienn, additional, Devonshire, Ginny, additional, Grantham, Amber, additional, Wronowski, Filip, additional, O’Donovan, Maria, additional, Grehan, Nicola, additional, Eldridge, Matthew D., additional, Tavaré, Simon, additional, Fitzgerald, Rebecca C., additional, Noorani, Ayesha, additional, Edwards, Paul A.W., additional, Nutzinger, Barbara, additional, Hughes, Caitriona, additional, Fidziukiewicz, Elwira, additional, Bornschein, Jan, additional, MacRae, Shona, additional, Crawte, Jason, additional, Northrop, Alex, additional, Contino, Gianmarco, additional, de la Rue, Rachel, additional, Miremadi, Ahmad, additional, Malhotra, Shalini, additional, Tripathi, Monika, additional, Lynch, Andy G., additional, Eldridge, Matthew, additional, Secrier, Maria, additional, Bower, Lawrence, additional, Perner, Juliane, additional, Jammula, Sriganesh, additional, Davies, Jim, additional, Crichton, Charles, additional, Carroll, Nick, additional, Safranek, Peter, additional, Hindmarsh, Andrew, additional, Sujendran, Vijayendran, additional, Hayes, Stephen J., additional, Ang, Yeng, additional, Preston, Shaun R., additional, Oakes, Sarah, additional, Bagwan, Izhar, additional, Save, Vicki, additional, Skipworth, Richard J.E., additional, Hupp, Ted R., additional, O’Neill, J. Robert, additional, Tucker, Olga, additional, Beggs, Andrew, additional, Taniere, Philippe, additional, Puig, Sonia, additional, Underwood, Timothy J., additional, Noble, Fergus, additional, Owsley, Jack, additional, Barr, Hugh, additional, Shepherd, Neil, additional, Old, Oliver, additional, Lagergren, Jesper, additional, Gossage, James, additional, Davies, Andrew, additional, Chang, Fuju, additional, Zylstra, Janine, additional, Mahadeva, Ula, additional, Goh, Vicky, additional, Ciccarelli, Francesca D., additional, Sanders, Grant, additional, Berrisford, Richard, additional, Harden, Catherine, additional, Lewis, Mike, additional, Cheong, Ed, additional, Kumar, Bhaskar, additional, Parsons, Simon L., additional, Soomro, Irshad, additional, Kaye, Philip, additional, Saunders, John, additional, Lovat, Laurence, additional, Haidry, Rehan, additional, Igali, Laszlo, additional, Scott, Michael, additional, Sothi, Sharmila, additional, Suortamo, Sari, additional, Lishman, Suzy, additional, Hanna, George B., additional, Moorthy, Krishna, additional, Peters, Christopher J., additional, Grabowska, Anna, additional, and Turkington, Richard, additional

Published
2020
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88. Deep learning for prediction of colorectal cancer outcome: a discovery and validation study

Author

Skrede, Ole-Johan, primary, De Raedt, Sepp, additional, Kleppe, Andreas, additional, Hveem, Tarjei S, additional, Liestøl, Knut, additional, Maddison, John, additional, Askautrud, Hanne A, additional, Pradhan, Manohar, additional, Nesheim, John Arne, additional, Albregtsen, Fritz, additional, Farstad, Inger Nina, additional, Domingo, Enric, additional, Church, David N, additional, Nesbakken, Arild, additional, Shepherd, Neil A, additional, Tomlinson, Ian, additional, Kerr, Rachel, additional, Novelli, Marco, additional, Kerr, David J, additional, and Danielsen, Håvard E, additional

Published
2020
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89. Machine learning to predict early recurrence after oesophageal cancer surgery

Author

Rahman, S A, primary, Walker, R C, additional, Lloyd, M A, additional, Grace, B L, additional, van Boxel, G I, additional, Kingma, B F, additional, Ruurda, J P, additional, van Hillegersberg, R, additional, Harris, S, additional, Parsons, S, additional, Mercer, S, additional, Griffiths, E A, additional, O'Neill, J R, additional, Turkington, R, additional, Fitzgerald, R C, additional, Underwood, T J, additional, Noorani, Ayesha, additional, Elliott, Rachael Fels, additional, Edwards, Paul A W, additional, Grehan, Nicola, additional, Nutzinger, Barbara, additional, Crawte, Jason, additional, Chettouh, Hamza, additional, Contino, Gianmarco, additional, Li, Xiaodun, additional, Gregson, Eleanor, additional, Zeki, Sebastian, additional, de la Rue, Rachel, additional, Malhotra, Shalini, additional, Tavaré, Simon, additional, Lynch, Andy G, additional, Smith, Mike L, additional, Davies, Jim, additional, Crichton, Charles, additional, Carroll, Nick, additional, Safranek, Peter, additional, Hindmarsh, Andrew, additional, Sujendran, Vijayendran, additional, Hayes, Stephen J, additional, Ang, Yeng, additional, Preston, Shaun R, additional, Oakes, Sarah, additional, Bagwan, Izhar, additional, Save, Vicki, additional, Skipworth, Richard J E, additional, Hupp, Ted R, additional, O'Neill, J Robert, additional, Tucker, Olga, additional, Beggs, Andrew, additional, Taniere, Philippe, additional, Puig, Sonia, additional, Underwood, Timothy J, additional, Noble, Fergus, additional, Byrne, James P, additional, Kelly, Jamie J, additional, Owsley, Jack, additional, Barr, Hugh, additional, Shepherd, Neil, additional, Old, Oliver, additional, Lagergren, Jesper, additional, Gossage, James, additional, Chang, Andrew Davies Fuju, additional, Zylstra, Janine, additional, Goh, Vicky, additional, Ciccarelli, Francesca D, additional, Sanders, Grant, additional, Berrisford, Richard, additional, Harden, Catherine, additional, Bunting, David, additional, Lewis, Mike, additional, Cheong, Ed, additional, Kumar, Bhaskar, additional, Parsons, Simon L, additional, Soomro, Irshad, additional, Kaye, Philip, additional, Saunders, John, additional, Lovat, Laurence, additional, Haidry, Rehan, additional, Eneh, Victor, additional, Igali, Laszlo, additional, Scott, Michael, additional, Sothi, Shamila, additional, Suortamo, Sari, additional, Lishman, Suzy, additional, Hanna, George B, additional, Peters, Christopher J, additional, and Grabowska, Anna, additional

Published
2020
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90. Preface

Author

Kirkham, Nigel, primary and Shepherd, Neil A., additional

Published
2007
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97. 3939571.pdf

Author

Junaid, Saher, Suddapalli, Chaitanya Kumar, Mathez, Morgan, Hermes, Michael, Stone, Nicholas, Shepherd, Neil, Ebrahim-Zadeh, Majid, Tidemand-Lichtenberg, Peter, and Pedersen, Christian

Abstract

supplemental document

Published
2019
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