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1. Predicting the difficult laparoscopic cholecystectomy: development and validation of a pre-operative risk score using an objective operative difficulty grading system

Author

Nassar, A. H. M., Hodson, J., H. J., Ng, Vohra, R. S., Katbeh, T., Zino, S., Griffiths, E. A., Kirkham, A. J., Pasquali, S., Marriott, P., Johnstone, M., Spreadborough, P., Alderson, D., Fenwick, S., Elmasry, M., Nunes, Q. M., Kennedy, D., Khan, R. B., Khan, M. A. S., Magee, C. J., Jones, S. M., Mason, D., Parappally, C. P., Mathur, P., Saunders, M., Jamel, S., Haque, S. U., Zafar, S., Shiwani, M. H., Samuel, N., Dar, F., Jackson, A., Lovett, B., Dindyal, S., Winter, H., Fletcher, T., Rahman, S., Wheatley, K., Nieto, T., Ayaani, S., Youssef, H., Nijjar, R. S., Watkin, H., Naumann, D., Emesih, S., Sarmah, P. B., Lee, K., Joji, N., Lambert, J., Heath, J., Teasdale, R. L., Weerasinghe, C., Needham, P. J., Welbourn, H., Forster, L., Finch, D., Blazeby, J. M., Robb, W., Mcnair, A. G. K., Hrycaiczuk, A., Charalabopoulos, A., Kadirkamanathan, S., Tang, C. -B., Jayanthi, N. V. G., Noor, N., Dobbins, B., Cockbain, A. J., Nilsen-Nunn, A., de Siqueira, J., Pellen, M., Cowley, J. B., W. -M., Ho, Miu, V., White, T. J., Hodgkins, K. A., Kinghorn, A., Tutton, M. G., Al-Abed, Y. A., Menzies, D., Ahmad, A., Reed, J., Khan, S., Monk, D., Vitone, L. J., Murtaza, G., Joel, A., Brennan, S., Shier, D., Zhang, C., Yoganathan, T., Robinson, S. J., Mccallum, I. J. D., Jones, M. J., Elsayed, M., Tuck, L., Wayman, J., Carney, K., Aroori, S., Hosie, K. B., Kimble, A., Bunting, D. M., Fawole, A. S., Basheer, M., Dave, R. V., Sarveswaran, J., Jones, E., Kendal, C., Tilston, M. P., Gough, M., Wallace, T., Singh, S., Mockford, J. D. K. A., Issa, E., Shah, N., Chauhan, N., Wilson, T. R., Forouzanfar, A., Wild, J. R. L., Nofal, E., Bunnell, C., Madbak, K., Rao, S. T. V., Devoto, L., Siddiqi, N., Khawaja, Z., Hewes, J. C., Gould, L., Chambers, A., Rodriguez, D. U., Sen, G., Robinson, S., Bartlett, F., Rae, D. M., Stevenson, T. E. J., Sarvananthan, K., Dwerryhouse, S. J., Higgs, S. M., Old, O. J., Hardy, T. J., Shah, R., Hornby, S. T., Keogh, K., Frank, L., Al-Akash, M., Upchurch, E. A., Frame, R. J., Hughes, M., Jelley, C., Weaver, S., Roy, S., Sillo, T. O., Galanopoulos, G., Cuming, T., Cunha, P., Tayeh, S., Kaptanis, S., Heshaishi, M., Eisawi, A., Abayomi, M., Ngu, W. S., Fleming, K., Bajwa, D. S., Chitre, V., Aryal, K., Ferris, P., Silva, M., Lammy, S., Mohamed, S., Khawaja, A., Hussain, A., Ghazanfar, M. A., Bellini, M. I., Ebdewi, H., Elshaer, M., Gravante, G., Drake, B., Ogedegbe, A., Mukherjee, D., Arhi, C., Giwa, L., Iqbal, N., Watson, N. F., Aggarwal, S. K., Orchard, P., Villatoro, E., Willson, P. D., Mok, K. W. J., Woodman, T., Deguara, J., Garcea, G., Babu, B. I., Dennison, A. R., Malde, D., Lloyd, D., Satheesan, S., Al-Taan, O., Boddy, A., Slavin, J. P., Jones, R. P., Ballance, L., Gerakopoulos, S., Jambulingam, P., Mansour, S., Sakai, N., Acharya, V., Sadat, M. M., Karim, L., Larkin, D., Amin, K., Khan, A., Law, J., Jamdar, S., Smith, S. R., Sampat, K., O'Shea, K. M., Manu, M., Asprou, F. M., Malik, N. S., Chang, J., Lewis, M., Roberts, G. P., Karavadra, B., Photi, E., Hewes, J., Rodriguez, D., O'Reilly, D. A., Rate, A. J., Sekhar, H., Henderson, L. T., Starmer, B. Z., Coe, P. O., Tolofari, S., Barrie, J., Bashir, G., Sloane, J., Madanipour, S., Halkias, C., Trevatt, A. E. J., Borowski, D. W., Hornsby, J., Courtney, M. J., Virupaksha, S., Seymour, K., Hawkins, H., Bawa, S., Gallagher, P. V., Reid, A., Wood, P., Finch, J. G., Guy Finch, J., Parmar, J., Stirland, E., Gardner-Thorpe, J., Al-Muhktar, A., Peterson, M., Majeed, A., Bajwa, F. M., Martin, J., Choy, A., Tsang, A., Pore, N., Andrew, D. R., Al-Khyatt, W., Taylor, C., Bhandari, S., Subramanium, D., Toh, S. K. C., Carter, N. C., Tate, S., Pearce, B., Wainwright, D., Mercer, S. J., Knight, B., Vijay, V., Alagaratnam, S., Sinha, S., El-Hasani, S. S., Hussain, A. A., Bhattacharya, V., Kansal, N., Fasih, T., Jackson, C., Siddiqui, M. N., Chishti, I. A., Fordham, I. J., Siddiqui, Z., Bausbacher, H., Geogloma, I., Gurung, K., Tsavellas, G., Basynat, P., Shrestha, A. K., Basu, S., Chhabra, A., Harilingam, M., Rabie, M., Akhtar, M., Kumar, P., Jafferbhoy, S. F., Hussain, N., Raza, S., Haque, M., Alam, I., Aseem, R., Patel, S., Asad, M., Booth, M. I., Ball, W. R., Wood, C. P. J., Pinho-Gomes, A. C., Kausar, A., Obeidallah, M. R., Varghase, J., Lodhia, J., Bradley, D., Rengifo, C., Lindsay, D., Gopalswamy, S., Finlay, I., Wardle, S., Bullen, N., Iftikhar, S. Y., Awan, A., Ahmed, J., Leeder, P., Fusai, G., Bond-Smith, G., Psica, A., Puri, Y., Hou, D., Noble, F., Szentpali, K., Broadhurst, J., Date, R., Hossack, M. R., Goh, Y. L., Turner, P., Shetty, V., Riera, M., Macano, C. A. W., Sukha, A., Preston, S. R., Hoban, J. R., Puntis, D. J., Williams, S. V., Krysztopik, R., Kynaston, J., Batt, J., Doe, M., Goscimski, A., Jones, G. H., Hall, C., Carty, N., Panteleimonitis, S., Gunasekera, R. T., Sheel, A. R. G., Lennon, H., Hindley, C., Reddy, M., Kenny, R., Elkheir, N., Mcglone, E. R., Rajaganeshan, R., Hancorn, K., Hargreaves, A., Prasad, R., Longbotham, D. A., Vijayanand, D., Wijetunga, I., Ziprin, P., Nicolay, C. R., Yeldham, G., Read, E., Gossage, J. A., Rolph, R. C., Ebied, H., Phull, M., Khan, M. A., Popplewell, M., Kyriakidis, D., Henley, N., Packer, J. R., Derbyshire, L., Porter, J., Appleton, S., Farouk, M., Basra, M., Jennings, N. A., Ali, S., Kanakala, V., Ali, H., Lane, R., Dickson-Lowe, R., Zarsadias, P., Mirza, D., Puig, S., Al Amari, K., Vijayan, D., Sutcliffe, R., Marudanayagam, R., Hamady, Z., Prasad, A. R., Patel, A., Durkin, D., Kaur, P., Bowen, L., Byrne, J. P., Pearson, K. L., Delisle, T. G., Davies, J., Tomlinson, M. A., Johnpulle, M. A., Slawinski, C., Macdonald, A., Nicholson, J., Newton, K., Mbuvi, J., Farooq, A., Mothe, B. S., Zafrani, Z., Brett, D., Francombe, J., Barnes, J., Cheung, M., Al-Bahrani, A. Z., Preziosi, G., Urbonas, T., Alberts, J., Mallik, M., Patel, K., Segaran, A., Doulias, T., Sufi, P. A., Yao, C., Pollock, S., Manzelli, A., Wajed, S., Kourkulos, M., Pezzuto, R., Wadley, M., Hamilton, E., Jaunoo, S., Padwick, R., Sayegh, M., Newton, R. C., Hebbar, M., Farag, S. F., Spearman, J., Hamdan, M. F., D'Costa, C., Blane, C., Giles, M., Peter, M. B., Hirst, N. A., Hossain, T., Pannu, A., El-Dhuwaib, Y., Morrison, T. E. M., Taylor, G. W., Thompson, R. L. E., Mccune, K., Loughlin, P., Lawther, R., Byrnes, C. K., Simpson, D. J., Mawhinney, A., Warren, C., Mckay, D., Mcilmunn, C., Martin, S., Macartney, M., Diamond, T., Davey, P., Jones, C., Clements, J. M., Digney, R., Chan, W. M., Mccain, S., Gull, S., Janeczko, A., Dorrian, E., Harris, A., Dawson, S., Johnston, D., Mcaree, B., Ghareeb, E., Thomas, G., Connelly, M., Mckenzie, S., Cieplucha, K., Spence, G., Campbell, W., Hooks, G., Bradley, N., Hill, A. D. K., Cassidy, J. T., Boland, M., Burke, P., Nally, D. M., Khogali, E., Shabo, W., Iskandar, E., Mcentee, G. P., O'Neill, M. A., Peirce, C., Lyons, E. M., O'Sullivan, A. W., Thakkar, R., Carroll, P., Ivanovski, I., Balfe, P., Lee, M., Winter, D. C., Kelly, M. E., Hoti, E., Maguire, D., Karunakaran, P., Geoghegan, J. G., Mcdermott, F., Martin, S. T., Cross, K. S., Cooke, F., Zeeshan, S., Murphy, J. O., Mealy, K., Mohan, H. M., Nedujchelyn, Y., Ullah, M. F., Ahmed, I., Giovinazzo, F., Milburn, J., Prince, S., Brooke, E., Buchan, J., Khalil, A. M., Vaughan, E. M., Ramage, M. I., Aldridge, R. C., Gibson, S., Nicholson, G. A., Vass, D. G., Grant, A. J., Holroyd, D. J., Jones, M. A., Sutton, C. M. L. R., O'Dwyer, P., Nilsson, F., Weber, B., Williamson, T. K., Lalla, K., Bryant, A., Carter, C. R., Forrest, C. R., Hunter, D. I., Nassar, A. H., Orizu, M. N., Knight, K., Qandeel, H., Suttie, S., Belding, R., Mcclarey, A., Boyd, A. T., Guthrie, G. J. K., Lim, P. J., Luhmann, A., Watson, A. J. M., Richards, C. H., Nicol, L., Madurska, M., Harrison, E., Boyce, K. M., Roebuck, A., Ferguson, G., Pati, P., Wilson, M. S. J., Dalgaty, F., Fothergill, L., Driscoll, P. J., Mozolowski, K. L., Banwell, V., Bennett, S. P., Rogers, P. N., Skelly, B. L., Rutherford, C. L., Mirza, A. K., Lazim, T., Lim, H. C. C., Duke, D., Ahmed, T., Beasley, W. D., Wilkinson, M. D., Maharaj, G., Malcolm, C., Brown, T. H., Al-Sarireh, B., Shingler, G. M., Mowbray, N., Radwan, R., Morcous, P., Wood, S., Kadhim, A., Stewart, D. J., Baker, A. L., Tanner, N., Shenoy, H., Hafiz, S., De Marchi, J. A., Singh-Ranger, D., Hisham, E., Ainley, P., O'Neill, S., Terrace, J., Napetti, S., Hopwood, B., Rhys, T., Downing, J., Kanavati, O., Coats, M., Aleksandrov, D., Kallaway, C., Yahya, S., Templeton, A., Trotter, M., Lo, C., Dhillon, A., Heywood, N., Aawsaj, Y., Hamdan, A., Reece-Bolton, O., Mcguigan, A., Shahin, Y., Aymon, Luther, A. A., Nicholson, J. A., Rajendran, I., Boal, M., and Ritchie, J.

Subjects
Adult, Male, operative difficulty, medicine.medical_specialty, medicine.medical_treatment, Difficulty grading, difficult cholecystectomy, predictive score, surgery, laparoscopic, cholecystectomy, Surgical planning, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Preoperative Care, Humans, Medicine, Laparoscopic cholecystectomy, Framingham Risk Score, business.industry, General surgery, Reproducibility of Results, Middle Aged, medicine.disease, Pre operative, Single surgeon, Cholecystectomy, Laparoscopic, ROC Curve, 030220 oncology & carcinogenesis, Multivariate Analysis, Cholecystitis, Female, 030211 gastroenterology & hepatology, Surgery, Cholecystectomy, business, Abdominal surgery
Abstract

The prediction of a difficult cholecystectomy has traditionally been based on certain pre-operative clinical and imaging factors. Most of the previous literature reported small patient cohorts and have not used an objective measure of operative difficulty. The aim of this study was to develop a pre-operative score to predict difficult cholecystectomy, as defined by a validated intra-operative difficulty grading scale. Two cohorts from prospectively maintained databases of patients who underwent laparoscopic cholecystectomy were analysed: the CholeS Study (8755 patients) and a single surgeon series (4089 patients). Factors potentially predictive of difficulty were correlated to the Nassar intra-operative difficulty scale. A multivariable binary logistic regression analysis was then used to identify factors that were independently associated with difficult laparoscopic cholecystectomy, defined as operative difficulty grades 3 to 5. The resulting model was then converted to a risk score, and validated on both internal and external datasets. Increasing age and ASA classification, male gender, diagnosis of CBD stone or cholecystitis, thick-walled gallbladders, CBD dilation, use of pre-operative ERCP and non-elective operations were found to be significant independent predictors of difficult cases. A risk score based on these factors returned an area under the ROC curve of 0.789 (95% CI 0.773–0.806, p

Published
2019
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2. Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis

Author

Schweinsberg, M., Feldman, M., Staub, N., van den Akker, O.R., van Aert, R.C.M., van Assen, M.A.L.M., Liu, Y., Althoff, T., Heer, J., Kale, A., Mohamed, Z., Amireh, H., Venkatesh Prasad, V., Bernstein, A., Robinson, E., Snellman, K., Sommer, S.A., Otner, S.M.G., Robinson, D.A., Madan, N., Silberzahn, R., Goldstein, P., Tierney, W., Murase, T., Mandl, B., Viganola, D., Strobl, C., Schaumans, C.B.C., Kelchtermans, S., Naseeb, C., Mason Garrison, S., Yarkoni, T., Richard Chan, C. S., Adie, P., Alaburda, P., Albers, C., Alspaugh, S., Alstott, J., Nelson, A.A., Ariño de la Rubia, E., Arzi, A., Bahník, Š., Baik, J., Winther Balling, L., Banker, S., Baranger, D.A.A., Barr, D.J., Barros-Rivera, B., Bauer, M., Blaise, E., Boelen, L., Bohle Carbonell, K., Briers, R.A., Burkhard, O., Canela, M.A., Castrillo, L., Catlett, T., Chen, O., Clark, M., Cohn, B., Coppock, A., Cugueró-Escofet, N., Curran, P.G., Cyrus-Lai, W., Dai, D., Valentino Dalla Riva, G., Danielsson, H., Russo, R.d.F.S.M., de Silva, N., Derungs, C., Dondelinger, F., Duarte de Souza, C., Tyson Dube, B., Dubova, M., Dunn, B.M., Edelsbrunner, P.A., Finley, S., Fox, N., Gnambs, T., Gong, Y., Grand, E., Greenawalt, B., Han, D., Hanel, P.H.P., Hong, A.B., Hood, D., Hsueh, J., Huang, L., Hui, K.N., Hultman, K.A., Javaid, A., Ji Jiang, L., Jong, J., Kamdar, J., Kane, D., Kappler, G., Kaszubowski, E., Kavanagh, C.M., Khabsa, M., Kleinberg, B., Kouros, J., Krause, H., Krypotos, A.M., Lavbič, D., Ling Lee, R., Leffel, T., Yang Lim, W., Liverani, S., Loh, B., Lønsmann, D., Wei Low, J., Lu, A., MacDonald, K., Madan, C.R., Hjorth Madsen, L., Maimone, C., Mangold, A., Marshall, A., Matskewich, H.E., Mavon, K., McLain, K.L., McNamara, A.A., McNeill, M., Mertens, U., Miller, D., Moore, B., Moore, A., Nantz, E., Nasrullah, Z., Nejkovic, V., Nell, C.S., Nilsonne, G., Nolan, R., O'Brien, C.E., O'Neill, P., O'Shea, K., Olita, T., Otterbacher, J., Palsetia, D., Pereira, B., Pozdniakov, I., Protzko, J., Reyt, J.N., Riddle, T., (Akmal) Ridhwan Omar Ali, A., Ropovik, I., Rosenberg, J.M., Rothen, S., Schulte-Mecklenbeck, M., Sharma, N., Shotwell, G., Skarzynski, M., Stedden, W., Stodden, V., Stoffel, M.A., Stoltzman, S., Subbaiah, S., Tatman, R., Thibodeau, P.H., Tomkins, S., Valdivia, A., Druijff-van de Woestijne, G.B., Viana, L., Villesèche, F., Wadsworth, W.D., Wanders, F., Watts, K., Wells, J.D., Whelpley, C.E., Won, A., Wu, L., Yip, A., Youngflesh, C., Yu, J.C., Zandian, A., Zhang, L., Zibman, C., Uhlmann, E.L., Social Networks, Solidarity and Inequality, Leerstoel Buskens, Structural geology and EM, Experimental psychopathology, Leerstoel Engelhard, Department of Methodology and Statistics, Tilburg Experience Sampling Center (TESC), University of Zurich, Schweinsberg, Martin, Psychometrics and Statistics, Social Networks, Solidarity and Inequality, Leerstoel Buskens, Structural geology and EM, Experimental psychopathology, and Leerstoel Engelhard

Subjects
Organizational Behavior and Human Resource Management, TRANSPARENCY, 10009 Department of Informatics, Sample (statistics), 000 Computer science, knowledge & systems, 1407 Organizational Behavior and Human Resource Management, Scientific robustness, 3202 Applied Psychology, Scientific transparency, REPRODUCIBILITY, 650 Management & public relations, medicine, Econometrics, MANAGEMENT, QUALITY, business, Robustness (economics), Research question, Verbosity, CRISIS, Applied Psychology, Analysis-contingent results, Operationalization, Psykologi (exklusive tillämpad psykologi), 11476 Digital Society Initiative, AVAILABILITY, Researcher degrees of freedom, SCIENCE, cs_r, SOCIAL-PSYCHOLOGY, Crowdsourcing data analysis, Research reliability, Psychology (excluding Applied Psychology), Open data, Ranking, Transparency (graphic), REPLICABILITY, REPLICATION, medicine.symptom, Psychology
Abstract

The project was funded by a research grant from INSEAD and was also supported by the Swiss National Science Foundation under grant number 143411., In this crowdsourced initiative, independent analysts used the same dataset to test two hypotheses regarding the effects of scientists’ gender and professional status on verbosity during group meetings. Not only the analytic approach but also the operationalizations of key variables were left unconstrained and up to individual analysts. For instance, analysts could choose to operationalize status as job title, institutional ranking, citation counts, or some combination. To maximize transparency regarding the process by which analytic choices are made, the analysts used a platform we developed called DataExplained to justify both preferred and rejected analytic paths in real time. Analyses lacking sufficient detail, reproducible code, or with statistical errors were excluded, resulting in 29 analyses in the final sample. Researchers reported radically different analyses and dispersed empirical outcomes, in a number of cases obtaining significant effects in opposite directions for the same research question. A Boba multiverse analysis demonstrates that decisions about how to operationalize variables explain variability in outcomes above and beyond statistical choices (e.g., covariates). Subjective researcher decisions play a critical role in driving the reported empirical results, underscoring the need for open data, systematic robustness checks, and transparency regarding both analytic paths taken and not taken. Implications for organizations and leaders, whose decision making relies in part on scientific findings, consulting reports, and internal analyses by data scientists, are discussed., INSEAD, Swiss National Science Foundation (SNSF) European Commission 143411

Published
2021
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4. Gene and Teratogen Induced Defects of Early Central Nervous System Development

Author

O'Shea, K. S.

Subjects
Teratogens, Life Sciences, Mesenchyme, Mouse Mutants, Neural Tube Defects, Basal Lamina, Neurulation, Extracellular Matrix
Abstract

The events involved in the histogenesis of the primitive nervous system involve precise control over cell shape changes, cellular migrations, cell-cell and cell-extracellular matrix interactions. The coordinated procession of these events results in the elevation of the neural folds, and their apposition and fusion in the dorsal midline, forming the primary neural tube. This is followed by a second series of cellular migrations and rearrangements (collectively called secondary neurulation) which result in lengthening of the caudal neural tube. After a brief consideration of the mechanisms involved in neurulation, the effects of gene or teratogen induced perturbations of these events are presented and reviewed. New data are presented on neurulation in the delayed Splotch mutant embryo and on the effects of altering mesenchymal or neuroepithelial basal lamina constituents on primary and secondary neurulation.

Published
1986

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