Search

Your search keyword '"Tiberio G.A.M."' showing total 3 results
Start Over Author "Tiberio G.A.M." Topic surgery
3 results on '"Tiberio G.A.M."'

1. Development and validation of a preoperative 'difficulty score' for laparoscopic transabdominal adrenalectomy: a multicenter retrospective study

Author

Alessandro M. Paganini, Andrea Balla, Carlo Ingaldi, Guido A. M. Tiberio, Giovanni Casole, Silvia Quaresima, Riccardo Casadei, Claudio Ricci, Zeno Ballarini, Marie Sophie Alfano, Guido Di Dalmazi, Laura Alberici, Giovanni Lezoche, Francesco Minni, Monica Ortenzi, Saverio Selva, Pietro Ursi, Mario Guerrieri, Alberici L., Paganini A.M., Ricci C., Balla A., Ballarini Z., Ortenzi M., Casole G., Quaresima S., Di Dalmazi G., Ursi P., Alfano M.S., Selva S., Casadei R., Ingaldi C., Lezoche G., Guerrieri M., Minni F., and Tiberio G.A.M.

Subjects
medicine.medical_specialty, medicine.medical_treatment, Operative Time, Population, Adrenal Gland Neoplasms, Laparoscopic adrenalectomy, Difficulty score, Logistic regression, Cohort Studies, Postoperative Complications, Internal medicine, laparoscopic adrenalectomy, postoperative complications, Humans, Medicine, education, Retrospective Studies, education.field_of_study, business.industry, Adrenalectomy, Area under the curve, Retrospective cohort study, Odds ratio, Cohort, Laparoscopy, Surgery, business, Abdominal surgery
Abstract

Background A difficulty score for laparoscopic adrenalectomy (LA) is lacking in the literature. A retrospective cohort study was designed to develop a preoperative “difficulty score” for LA. Methods A multicenter study was conducted involving four Italian tertiary centers for adrenal disease. The population was randomly divided into two subsets: training group and validation one. A multicenter study was undertaken, including 964 patients. Patient, adrenal lesion, surgeon’s characteristics, and the type of procedure were studied as potential predictors of target events. The operative time (pOT), conversion rate (cLA), or both were used as indicators of the difficulty in three multivariate models. All models were developed in a training cohort (70% of the sample) and validated using 30% of patients. For all models, the ability to predict complicated postoperative course was reported describing the area under the curve (AUCs). Logistic regression, reporting odds ratio (OR) with p-value, was used. Results In model A, gender (OR 2.04, p = 0.001), BMI (OR 1.07, p = 0.002), previous surgery (OR 1.29, p = 0.048), site (OR 21.8, p p = 0.002), cumulative sum of procedures (OR 0.99, p p p = 0.015) increased the pOT. In model B, ASA (OR 2.86, p = 0.001), lesion size (OR 1.20, p = 0.005), and extended resection (OR 8.85, p = 0.007) increased the cLA risk. Model C had similar results to model A. All scores obtained predicted the target events in validation cohort (OR 1.99, p p = 0.007; OR 1.70, p Conclusion A difficulty score based on both pOT and cLA (Model C) was developed using 70% of the sample. The score was validated using a second cohort. Finally, the score was tested, and its results are able to predict a complicated postoperative course.

Published
2021

2. Looking for a strategy in treating peritoneal gastric cancer carcinomatosis: an Italian multicenter Gastric Cancer Research group’s analysis

Author

Guido A. M. Tiberio, Michela Caprioli, Elisabetta Marino, Paolo Morgagni, Luigina Graziosi, Alessia D'Ignazio, Gianni Mura, Daniele Marrelli, Silvia Ministrini, Maria Bencivenga, Franco Roviello, Maurizio Degiuli, Michele Sacco, Annibale Donini, Giovanni de Manzoni, Leonardo Solaini, Graziosi L., Marino E., Bencivenga M., D'Ignazio A., Solaini L., Ministrini S., Caprioli M., Sacco M., Marrelli D., Mura G., Degiuli M., Morgagni P., Tiberio G.A.M., De Manzoni G., Roviello F., and Donini A.

Subjects
medicine.medical_specialty, RD1-811, Prognosi, Surgical oncology, Retrospective Studie, Stomach Neoplasms, medicine, Humans, Hyperthermia, Prospective Studies, Pathological, RC254-282, Peritoneal Neoplasms, Retrospective Studies, Surgical approach, business.industry, General surgery, Research, Induced, Cancer, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Retrospective cohort study, Hyperthermia, Induced, medicine.disease, Prognosis, Peritoneal carcinomatosis, Peritoneal carcinomatosi, Prospective Studie, Oncology, Italy, Homogeneous, Cohort, Surgery, business, Gastric cancer, Peritoneal Neoplasm, Human
Abstract

Background The present study provides a snapshot of Italian patients with peritoneal metastasis from gastric cancer treated by surgery in Italian centers belonging to the Italian Research Group on Gastric Cancer. Prognostic factors affecting survival in such cohort of patients were evaluated with the final aim to identify patients who may benefit from radical intent surgery. Methods It is a multicentric retrospective study based on a prospectively collected database including demographics, clinical, surgical, pathological, and follow-up data of patients with gastric cancer and synchronous macroscopic peritoneal metastases. Patients were surgically treated from January 2005 to January 2017. We focused on patients with macroscopic peritoneal carcinomatosis (PC) treated with upfront surgery in order to provide homogeneous evidences. Results Our results show that patients with peritoneal carcinomatosis cannot be considered all lost. Strictly selected cases (R0/R1 and P1 patients) could benefit from an aggressive surgical approach performing an extended lymphadenectomy and HIPEC treatment. Conclusion The main result of the study is that GC patients with limited peritoneal involvement can have a survival benefit from a surgery with “radical oncological intent”, that means extended lymphadenectomy and R0 resection. The retrospective nature of this study is an important bias, and for this reason, we have started a prospective multicentric study including Italian stage IV patients that hopefully will give us more answers.

Published
2021

3. Trauma quality indicators: internationally approved core factors for trauma management quality evaluation

Author

Coccolini, F., Kluger, Y., Moore, E. E., Maier, R. V., Coimbra, R., Ordonez, C., Ivatury, R., Kirkpatrick, A. W., Biffl, W., Sartelli, M., Hecker, A., Ansaloni, L., Leppaniemi, A., Reva, V., Civil, I., Vega, F., Chiarugi, M., Chichom-Mefire, A., Sakakushev, B., Peitzman, A., Chiara, O., Abu-Zidan, F., Maegele, M., Miccoli, M., Chirica, M., Khokha, V., Sugrue, M., Fraga, G. P., Otomo, Y., Baiocchi, G. L., Catena, F., Kuliesius, Z., Conti, L., Dogjani, A., Lee, J. G., Consani, H., Russello, D., Bortul, M., Maurel, T. G., Kaf, H. S., Adamou, H., Alin, V., Robustelli, U., Sato, N., Seretis, C., Quiodettis, M., Gomes, C. A., Kong, V., Zakaria, A. D., Guner, A., Gachabayov, M., Chowdhury, S., Pata, F., Garcia, A., Rems, M., Das, K., Riedel, J. G., Lasithiotakis, K., Sydorchuk, R., Sydorchuk, L., Lostoridis, E., Buia, A., Mcfarlane, M., Ciani, R., Munoz-Cruzado, V. M. D., Tartaglia, D., Ioannidis, O., Muhrbeck, M., Reicher, M., Roscio, F., Ceresoli, M., Tsiftsis, D., Kavalakat, A., Pintar, T., Georgiou, G., Ricci, G., Mohan, R., Saar, S., Di Carlo, I., Isik, A., Ahmed, A. Y. Y. M., Gonsaga, R. A. T., Sammartano, F., Tallon-Aguilar, L., Shoko, T., Hsu, J., Kobe, Y., Romeo, C. G. L., Podda, M., Mingoli, A., Delgado, R. C., Ekwen, G., Aude, V., Olona, C., Boati, P., Magnone, S., Capaldi, M., Bala, M., Picetti, E., Negoi, I., Kok, K. Y. Y., Jusoh, A. C., Amato, B., Nita, G. E., de Beaux, A., Demetrashvili, Z., Davies, R. J., Kim, J. I., Pereira, A., Fattori, L., Paolillo, C., Ghannam, W., Rodriguez, F. M., Berardi, L., Florio, M. G., Hecker, M., Dubuisson, V., O'Connor, D. B., De'Angelis, N., Dobric, I., Massalou, D., Ortenwall, P., Pikoulis, E., Ugarte-Sierra, B., Zuidema, W. P., Kechagias, A., Marwah, S., Litvin, A., Nikolopoulos, I., Pesce, A., Uranues, S., Luppi, D., Flohe, S., Martinez-Perez, A., Lorenzo, M., Vergano, L. B., Manca, M., Malacarne, P., Kurihara, H., Widder, S., Pucciarelli, M., Monzani, F., Brambillasca, P., Corbella, D., Agresta, F., Moore, L., Buonomo, L. A., Adeleye, A. O., Kim, D., Veroux, M., Hardcastle, T. C., Di Saverio, S., Recordare, A., Rubio-Perez, I., Shlyapnikov, S., Rahim, R., Vega, G. M. M., Boris, K., Sawyer, R., Baraket, O., Soreide, K., Weber, C., Seak, C. -J., Herman, S., Gamberini, E., Costa, S., Mazzocconi, G., Lozada, E., Manatakis, D., Lohsiriwat, V., Ahmed, A., Elbery, B., Tiberio, G. A. M., Santini, M., Mellace, L., Enoksen, C. H., Major, P., Parini, D., Improta, M., Fugazzola, P., Pini, S., Liberti, G., Martino, C., Cobianchi, L., Canzi, G., Cicuttin, E., Kenig, J., Zago, M., Giannessi, S., Scaglione, M., Orsitto, E., Cioni, R., Ghiadoni, L., Menichetti, F., Agnoletti, V., Sganga, G., Prosperi, P., Roviello, F., De Paolis, P., Gordini, G., Forfori, F., Ruscelli, P., Gabrielli, F., Puglisi, A., Bertolucci, A., Marchi, S., Bellini, M., Casagli, S., De Simone, B., Carmassi, F., Marchetti, S., Accorsini, M., Cremonini, C., Morelli, F., Romeo, L., Coccolini F., Kluger Y., Moore E.E., Maier R.V., Coimbra R., Ordonez C., Ivatury R., Kirkpatrick A.W., Biffl W., Sartelli M., Hecker A., Ansaloni L., Leppaniemi A., Reva V., Civil I., Vega F., Chiarugi M., Chichom-Mefire A., Sakakushev B., Peitzman A., Chiara O., Abu-Zidan F., Maegele M., Miccoli M., Chirica M., Khokha V., Sugrue M., Fraga G.P., Otomo Y., Baiocchi G.L., Catena F., Kuliesius Z., Conti L., Dogjani A., Lee J.G., Consani H., Russello D., Bortul M., Maurel T.G., Kaf H.S., Adamou H., Alin V., Robustelli U., Sato N., Seretis C., Quiodettis M., Gomes C.A., Kong V., Zakaria A.D., Guner A., Gachabayov M., Chowdhury S., Pata F., Garcia A., Rems M., Das K., Riedel J.G., Lasithiotakis K., Sydorchuk R., Sydorchuk L., Lostoridis E., Buia A., McFarlane M., Ciani R., Munoz-Cruzado V.M.D., Tartaglia D., Ioannidis O., Muhrbeck M., Reicher M., Roscio F., Ceresoli M., Tsiftsis D., Kavalakat A., Pintar T., Georgiou G., Ricci G., Mohan R., Saar S., Di Carlo I., Isik A., Ahmed A.Y.Y.M., Gonsaga R.A.T., Sammartano F., Tallon-Aguilar L., Shoko T., Hsu J., Kobe Y., Romeo C.G.L., Podda M., Mingoli A., Delgado R.C., Ekwen G., Aude V., Olona C., Boati P., Magnone S., Capaldi M., Bala M., Picetti E., Negoi I., Kok K.Y.Y., Jusoh A.C., Amato B., Nita G.E., de Beaux A., Demetrashvili Z., Davies R.J., Kim J.I., Pereira A., Fattori L., Paolillo C., Ghannam W., Rodriguez F.M., Berardi L., Florio M.G., Hecker M., Dubuisson V., O'Connor D.B., De'Angelis N., Dobric I., Massalou D., Ortenwall P., Pikoulis E., Ugarte-Sierra B., Zuidema W.P., Kechagias A., Marwah S., Litvin A., Nikolopoulos I., Pesce A., Uranues S., Luppi D., Flohe S., Martinez-Perez A., Lorenzo M., Vergano L.B., Manca M., Malacarne P., Kurihara H., Widder S., Pucciarelli M., Monzani F., Brambillasca P., Corbella D., Agresta F., Moore L., Buonomo L.A., Adeleye A.O., Kim D., Veroux M., Hardcastle T.C., Di Saverio S., Recordare A., Rubio-Perez I., Shlyapnikov S., Rahim R., Vega G.M.M., Boris K., Sawyer R., Baraket O., Soreide K., Weber C., Seak C.-J., Herman S., Gamberini E., Costa S., Mazzocconi G., Lozada E., Manatakis D., Lohsiriwat V., Ahmed A., Elbery B., Tiberio G.A.M., Santini M., Mellace L., Enoksen C.H., Major P., Parini D., Improta M., Fugazzola P., Pini S., Liberti G., Martino C., Cobianchi L., Canzi G., Cicuttin E., Kenig J., Zago M., Giannessi S., Scaglione M., Orsitto E., Cioni R., Ghiadoni L., Menichetti F., Agnoletti V., Sganga G., Prosperi P., Roviello F., De Paolis P., Gordini G., Forfori F., Ruscelli P., Gabrielli F., Puglisi A., Bertolucci A., Marchi S., Bellini M., Casagli S., De Simone B., Carmassi F., Marchetti S., Accorsini M., Cremonini C., Morelli F., Romeo L., Coccolini, F, Kluger, Y, Moore, E, Maier, R, Coimbra, R, Ordonez, C, Ivatury, R, Kirkpatrick, A, Biffl, W, Sartelli, M, Hecker, A, Ansaloni, L, Leppaniemi, A, Reva, V, Civil, I, Vega, F, Chiarugi, M, Chichom-Mefire, A, Sakakushev, B, Peitzman, A, Chiara, O, Abu-Zidan, F, Maegele, M, Miccoli, M, Chirica, M, Khokha, V, Sugrue, M, Fraga, G, Otomo, Y, Baiocchi, G, Catena, F, Kuliesius, Z, Conti, L, Dogjani, A, Lee, J, Consani, H, Russello, D, Bortul, M, Maurel, T, Kaf, H, Adamou, H, Alin, V, Robustelli, U, Sato, N, Seretis, C, Quiodettis, M, Gomes, C, Kong, V, Zakaria, A, Guner, A, Gachabayov, M, Chowdhury, S, Pata, F, Garcia, A, Rems, M, Das, K, Riedel, J, Lasithiotakis, K, Sydorchuk, R, Sydorchuk, L, Lostoridis, E, Buia, A, Mcfarlane, M, Ciani, R, Munoz-Cruzado, V, Tartaglia, D, Ioannidis, O, Muhrbeck, M, Reicher, M, Roscio, F, Ceresoli, M, Tsiftsis, D, Kavalakat, A, Pintar, T, Georgiou, G, Ricci, G, Mohan, R, Saar, S, Di Carlo, I, Isik, A, Ahmed, A, Gonsaga, R, Sammartano, F, Tallon-Aguilar, L, Shoko, T, Hsu, J, Kobe, Y, Romeo, C, Podda, M, Mingoli, A, Delgado, R, Ekwen, G, Aude, V, Olona, C, Boati, P, Magnone, S, Capaldi, M, Bala, M, Picetti, E, Negoi, I, Kok, K, Jusoh, A, Amato, B, Nita, G, de Beaux, A, Demetrashvili, Z, Davies, R, Kim, J, Pereira, A, Fattori, L, Paolillo, C, Ghannam, W, Rodriguez, F, Berardi, L, Florio, M, Hecker, M, Dubuisson, V, O'Connor, D, De'Angelis, N, Dobric, I, Massalou, D, Ortenwall, P, Pikoulis, E, Ugarte-Sierra, B, Zuidema, W, Kechagias, A, Marwah, S, Litvin, A, Nikolopoulos, I, Pesce, A, Uranues, S, Luppi, D, Flohe, S, Martinez-Perez, A, Lorenzo, M, Vergano, L, Manca, M, Malacarne, P, Kurihara, H, Widder, S, Pucciarelli, M, Monzani, F, Brambillasca, P, Corbella, D, Agresta, F, Moore, L, Buonomo, L, Adeleye, A, Kim, D, Veroux, M, Hardcastle, T, Di Saverio, S, Recordare, A, Rubio-Perez, I, Shlyapnikov, S, Rahim, R, Vega, G, Boris, K, Sawyer, R, Baraket, O, Soreide, K, Weber, C, Seak, C, Herman, S, Gamberini, E, Costa, S, Mazzocconi, G, Lozada, E, Manatakis, D, Lohsiriwat, V, Elbery, B, Tiberio, G, Santini, M, Mellace, L, Enoksen, C, Major, P, Parini, D, Improta, M, Fugazzola, P, Pini, S, Liberti, G, Martino, C, Cobianchi, L, Canzi, G, Cicuttin, E, Kenig, J, Zago, M, Giannessi, S, Scaglione, M, Orsitto, E, Cioni, R, Ghiadoni, L, Menichetti, F, Agnoletti, V, Sganga, G, Prosperi, P, Roviello, F, De Paolis, P, Gordini, G, Forfori, F, Ruscelli, P, Gabrielli, F, Puglisi, A, Bertolucci, A, Marchi, S, Bellini, M, Casagli, S, De Simone, B, Carmassi, F, Marchetti, S, Accorsini, M, Cremonini, C, Morelli, F, Romeo, L, and HUS Abdominal Center

Subjects
System, Consensus, Internationality, Delphi Technique, Accrual, Process (engineering), media_common.quotation_subject, Performance, education, lcsh:Surgery, 030230 surgery, Analysis, Data, Morbidity, Mortality, Outcome, Planning, Product, World, 03 medical and health sciences, 0302 clinical medicine, Trauma management, Health care, Medicine, Humans, Operations management, Quality (business), Product (category theory), media_common, Quality Indicators, Health Care, Core set, business.industry, lcsh:Medical emergencies. Critical care. Intensive care. First aid, Analysi, lcsh:RD1-811, lcsh:RC86-88.9, CARE, 3126 Surgery, anesthesiology, intensive care, radiology, Core (game theory), Traumatology, Emergency Medicine, Surgery, business, Research Article
Abstract

Introduction Quality in medical care must be measured in order to be improved. Trauma management is part of health care, and by definition, it must be checked constantly. The only way to measure quality and outcomes is to systematically accrue data and analyze them. Material and methods A systematic revision of the literature about quality indicators in trauma associated to an international consensus conference Results An internationally approved base core set of 82 trauma quality indicators was obtained: Indicators were divided into 6 fields: prevention, structure, process, outcome, post-traumatic management, and society integrational effects. Conclusion Present trauma quality indicator core set represents the result of an international effort aiming to provide a useful tool in quality evaluation and improvement. Further improvement may only be possible through international trauma registry development. This will allow for huge international data accrual permitting to evaluate results and compare outcomes.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results