TY  - THES
AU  - Szabó-Halász, Adrienn
TI  - Challenges in the treatment and follow up of acute pancreatitis [Kihívások az akut pancreatitis kezelésében és utánkövetésében]
PB  - Szegedi Tudományegyetem (SZTE)
PY  - 2022
SP  - 56
DO  - 10.14232/phd.11073
UR  - https://m2.mtmt.hu/api/publication/32860647
ID  - 32860647
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kiss, Szabolcs
AU  - Pintér, József
AU  - Molontay, Roland
AU  - Nagy, Marcell
AU  - Borbásné Farkas, Kornélia
AU  - Sipos, Zoltán
AU  - Fehérvári, Péter
AU  - Pecze, László
AU  - Földi, Mária
AU  - Vincze, Áron
AU  - Takács, Tamás
AU  - Czakó, László
AU  - Szabó-Halász, Adrienn
AU  - Boros, Eszter
AU  - Hamvas, József
AU  - Varga, Márta
AU  - Mickevicius, Artautas
AU  - Faluhelyi, Nándor
AU  - Farkas, Orsolya
AU  - Váncsa, Szilárd
AU  - Nagy, Rita
AU  - Bunduc, Stefania
AU  - Hegyi, Péter Jenő
AU  - Márta, Katalin
AU  - Borka, Katalin
AU  - Doros, Attila
AU  - Hosszúfalusi, Nóra
AU  - Zubek, László
AU  - Erőss, Bálint Mihály
AU  - Molnár, Zsolt
AU  - Párniczky, Andrea
AU  - Hegyi, Péter
AU  - Szentesi, Andrea Ildikó
ED  - Kiss, Szabolcs / Collaborator
ED  - Farkas, Nelli / Collaborator
ED  - Sipos, Zoltán / Collaborator
ED  - Fehérvári, Péter / Collaborator
ED  - Pecze, László / Collaborator
ED  - Földi, Mária / Collaborator
ED  - Vincze, Áron / Collaborator
ED  - Takács, Tamás / Collaborator
ED  - Czakó, László / Collaborator
ED  - Halász, Adrienn / Collaborator
ED  - Boros, Eszter / Collaborator
ED  - Hamvas, József / Collaborator
ED  - Varga, Márta / Collaborator
ED  - Mickevicius, Artautas / Collaborator
ED  - Faluhelyi, Nándor / Collaborator
ED  - Farkas, Orsolya / Collaborator
ED  - Váncsa, Szilárd / Collaborator
ED  - Nagy, Rita / Collaborator
ED  - Bunduc, Stefania / Collaborator
ED  - Hegyi, Péter Jenő / Collaborator
ED  - Márta, Katalin / Collaborator
ED  - Borka, Katalin / Collaborator
ED  - Doros, Attila / Collaborator
ED  - Hosszúfalusi, Nóra / Collaborator
ED  - Zubek, László / Collaborator
ED  - Erőss, Bálint / Collaborator
ED  - Molnár, Zsolt / Collaborator
ED  - Párniczky, Andrea / Collaborator
ED  - Hegyi, Péter / Collaborator
ED  - Szentesi, Andrea / Collaborator
ED  - Bajor, Judit / Collaborator
ED  - Gódi, Szilárd / Collaborator
ED  - Sarlós, Patrícia / Collaborator
ED  - Czimmer, József / Collaborator
ED  - Szabó, Imre / Collaborator
ED  - Pár, Gabriella / Collaborator
ED  - Illés, Anita / Collaborator
ED  - Hágendorn, Roland / Collaborator
ED  - Németh, Balázs / Collaborator
ED  - Kui, Balázs / Collaborator
ED  - Illés, Dóra / Collaborator
ED  - Gajdán, László / Collaborator
ED  - Dunás-Varga, Veronika / Collaborator
ED  - Fejes, Roland / Collaborator
ED  - Papp, Mária / Collaborator
ED  - Vitális, Zsuzsanna / Collaborator
ED  - Novák, János / Collaborator
ED  - Török, Imola / Collaborator
ED  - Macarie, Melania / Collaborator
ED  - Ramírez-Maldonado, Elena / Collaborator
ED  - Sallinen, Ville / Collaborator
ED  - Galeev, Shamil / Collaborator
ED  - Bod, Barnabás / Collaborator
ED  - Ince, Ali Tüzün / Collaborator
ED  - Pécsi, Dániel / Collaborator
ED  - Varjú, Péter / Collaborator
ED  - Juhász, Márk Félix / Collaborator
ED  - Ocskay, Klementina / Collaborator
ED  - Mikó, Alexandra / Collaborator
ED  - Szakács, Zsolt / Collaborator
AU  - Izbéki, Ferenc
TI  - Early prediction of acute necrotizing pancreatitis by artificial intelligence : a prospective cohort-analysis of 2387 cases
JF  - SCIENTIFIC REPORTS
J2  - SCI REP
VL  - 12
PY  - 2022
IS  - 1
PG  - 11
SN  - 2045-2322
DO  - 10.1038/s41598-022-11517-w
UR  - https://m2.mtmt.hu/api/publication/32823615
ID  - 32823615
N1  - * Megosztott szerzőség
AB  - Pancreatic necrosis is a consistent prognostic factor in acute pancreatitis (AP). However, the clinical scores currently in use are either too complicated or require data that are unavailable on admission or lack sufficient predictive value. We therefore aimed to develop a tool to aid in necrosis prediction. The XGBoost machine learning algorithm processed data from 2387 patients with AP. The confidence of the model was estimated by a bootstrapping method and interpreted via the 10th and the 90th percentiles of the prediction scores. Shapley Additive exPlanations (SHAP) values were calculated to quantify the contribution of each variable provided. Finally, the model was implemented as an online application using the Streamlit Python-based framework. The XGBoost classifier provided an AUC value of 0.757. Glucose, C-reactive protein, alkaline phosphatase, gender and total white blood cell count have the most impact on prediction based on the SHAP values. The relationship between the size of the training dataset and model performance shows that prediction performance can be improved. This study combines necrosis prediction and artificial intelligence. The predictive potential of this model is comparable to the current clinical scoring systems and has several advantages over them.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Hegyi, Péter Jenő
AU  - Soós, Alexandra
AU  - Tóth, Emese
AU  - Ébert, Attila
AU  - Venglovecz, Viktória
AU  - Márta, Katalin
AU  - Mátrai, Péter
AU  - Mikó, Alexandra
AU  - Bajor, Judit
AU  - Sarlós, Patrícia
AU  - Vincze, Áron
AU  - Szabó-Halász, Adrienn
AU  - Izbéki, Ferenc
AU  - Szepes, Zoltán
AU  - Czakó, László
AU  - Kovács, György
AU  - Papp, Mária
AU  - Dubravcsik, Zsolt
AU  - Varga, Márta
AU  - Hamvas, József
AU  - Németh, Balázs
AU  - Macarie, Melania
AU  - Ince, Ali Tüzün
AU  - Bordin, Dmitry S
AU  - Dubtsova, Elena A
AU  - Kiryukova, Mariya A
AU  - Khatkov, Igor E
AU  - Bideeva, Tanya
AU  - Mickevicius, Artautas
AU  - Ramírez-Maldonado, Elena
AU  - Sallinen, Ville
AU  - Erőss, Bálint Mihály
AU  - Pécsi, Dániel
AU  - Szentesi, Andrea Ildikó
AU  - Párniczky, Andrea
AU  - Tiszlavicz, László
AU  - Hegyi, Péter
TI  - Evidence for diagnosis of early chronic pancreatitis after three episodes of acute pancreatitis: a cross-sectional multicentre international study with experimental animal model
JF  - SCIENTIFIC REPORTS
J2  - SCI REP
VL  - 11
PY  - 2021
IS  - 1
PG  - 14
SN  - 2045-2322
DO  - 10.1038/s41598-020-80532-6
UR  - https://m2.mtmt.hu/api/publication/31815619
ID  - 31815619
N1  - Funding Agency and Grant Number: National Research, Development and Innovation Office [K116634, FK131864, FK124632, K128222]; Economic Development and Innovation Operative Programme Grant from the National Research, Development and Innovation Office [GINOP 2.3.2-15-2016-00048]; Human Resources Development Operational Programme Grant from the National Research, Development and Innovation Office [EFOP-3.6.2-16-2017-00006]; Hungarian Academy of Sciences [LP2014-10/2014]; Hungarian Academy of Sciences; Ministry for Innovation and Technology [UNKP-20-5]
            Funding text: The study was funded by Project Grants (K116634 to PH, FK131864 to AM, FK124632 to BCN and K128222 to LC), an Economic Development and Innovation Operative Programme Grant (GINOP 2.3.2-15-2016-00048 to PH) and a Human Resources Development Operational Programme Grant (EFOP-3.6.2-16-2017-00006 to PH) from the National Research, Development and Innovation Office, as well as a Momentum Grant from the Hungarian Academy of Sciences (LP2014-10/2014 to PH). Supported by the Janos Bolyai Research Scholarship of the Hungarian Academy of Sciences (to AM) and by the UNKP-20-5 New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund (to AM).
AB  - Chronic pancreatitis (CP) is an end-stage disease with no specific therapy; therefore, an early diagnosis is of crucial importance. In this study, data from 1315 and 318 patients were analysed from acute pancreatitis (AP) and CP registries, respectively. The population from the AP registry was divided into AP (n = 983), recurrent AP (RAP, n = 270) and CP (n = 62) groups. The prevalence of CP in combination with AP, RAP2, RAP3, RAP4 and RAP5 + was 0%, 1%, 16%, 50% and 47%, respectively, suggesting that three or more episodes of AP is a strong risk factor for CP. Laboratory, imaging and clinical biomarkers highlighted that patients with RAP3 + do not show a significant difference between RAPs and CP. Data from CP registries showed 98% of patients had at least one AP and the average number of episodes was four. We mimicked the human RAPs in a mouse model and found that three or more episodes of AP cause early chronic-like morphological changes in the pancreas. We concluded that three or more attacks of AP with no morphological changes to the pancreas could be considered as early CP (ECP).The new diagnostic criteria for ECP allow the majority of CP patients to be diagnosed earlier. They can be used in hospitals with no additional costs in healthcare.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Hegyi, P
AU  - Soós, A
AU  - Tóth, Emese
AU  - Ébert, Attila
AU  - Venglovecz, Viktória
AU  - Márta, K
AU  - Mátrai, P
AU  - Mikó, A
AU  - Bajor, Judit
AU  - Sarlós, P
AU  - Szabó-Halász, Adrienn
AU  - Izbéki, F
AU  - Szepes, Zoltán
AU  - Czakó, László
AU  - Kovács, G
AU  - Papp, M
AU  - Dubravcsik, Zsolt
AU  - Varga, M
AU  - Hamvas, J
AU  - Németh, Balázs
AU  - Macarie, Mq
AU  - Tüzün, A
AU  - Bordin, D
AU  - Kiryukova, M
AU  - Khatkov, I
AU  - Bideeva, T
AU  - Mickevicius, A
AU  - Ramírez-Maldonado, E
AU  - Sallinen, V
AU  - ErÖss, B
AU  - Pécsi, Dániel
AU  - Szentesi, Andrea Ildikó
AU  - Párniczky, A
AU  - Hegyi, Péter
TI  - The new definition of early chronic pancreatitis
JF  - PANCREATOLOGY
J2  - PANCREATOLOGY
VL  - 20
PY  - 2020
IS  - Suppl. 1
SP  - S56
EP  - S58
PG  - 3
SN  - 1424-3903
DO  - 10.1016/j.pan.2020.07.071
UR  - https://m2.mtmt.hu/api/publication/31822032
ID  - 31822032
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kui, Balázs
AU  - Gódi, S
AU  - Bajor, J
AU  - Török, I
AU  - Macaria, M
AU  - Farkas, H
AU  - Mickevicius, A
AU  - Sallinen, V
AU  - Maldonado, E
AU  - Papp, M
AU  - Kovács, G
AU  - Fehér, E
AU  - Sarlós, P
AU  - Galeev, S
AU  - Németh, Balázs
AU  - Vincze, Á
AU  - Pencik, P
AU  - Ozola-Zalite, I
AU  - Pukitis, A
AU  - Litvin, A
AU  - Kovalskaya, I
AU  - Czimmer, J
AU  - Pár, G
AU  - Hritz, István
AU  - Illés, Dóra
AU  - Szentesi, Andrea Ildikó
AU  - Lakatos, L
AU  - Capurso, G
AU  - Patai, Á
AU  - Stilidi, E
AU  - Peserico, G
AU  - Zadorozhna, K
AU  - Sonmez, E
AU  - Tüzün, Ince A
AU  - Vishalkumar, S
AU  - Horibe, M
AU  - Ihász, M
AU  - Erőss, B
AU  - Márta, K
AU  - Szakács, Zsolt
AU  - Farkas, N
AU  - Gede, N
AU  - Szabó-Halász, Adrienn
AU  - Gajdán, L
AU  - Izbéki, F
AU  - Poropat, G
AU  - Robu, G
AU  - Jinga, M
AU  - Hegyi, Péter
TI  - The use of early achievable severity (EASY) index is beneficial for rapid risk stratification in acute pancreatitis at hospital admission
JF  - CENTRAL EUROPEAN JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY / GASZTROENTEROLÓGIAI ÉS HEPATOLÓGIAI SZEMLE
J2  - CENT EUR J GASTRO HEPATOL
VL  - 6
PY  - 2020
IS  - Suppl 2
SP  - 62
EP  - 63
PG  - 2
SN  - 2415-9107
UR  - https://m2.mtmt.hu/api/publication/31819813
ID  - 31819813
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kiss, Szabolcs
AU  - Farkas, N
AU  - Fehérvári, P
AU  - Pecze, L
AU  - Földi, Mária
AU  - Vincze, Á
AU  - Gódi, S
AU  - Bajor, J
AU  - Czimmer, J
AU  - Sarlós, P
AU  - Hágendorn, R
AU  - Takács, Tamás
AU  - Izbéki, F
AU  - Szabó-Halász, Adrienn
AU  - Hamvas, J
AU  - Varga, M
AU  - Crai, S
AU  - Mickevicius, A
AU  - Patai, Á
AU  - Ihász, M
AU  - Varjú, P
AU  - Faluhelyi, N
AU  - Farkas, O
AU  - Miseta, A
AU  - Kelemen, Dezső
AU  - Papp, R
AU  - Hegyi, P
AU  - Szentesi, Andrea Ildikó
AU  - Párniczky, A
AU  - Hegyi, Péter
TI  - Risk prediction model for developing pancreatic necrosis
JF  - CENTRAL EUROPEAN JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY / GASZTROENTEROLÓGIAI ÉS HEPATOLÓGIAI SZEMLE
J2  - CENT EUR J GASTRO HEPATOL
VL  - 6
PY  - 2020
IS  - Suppl 1
SP  - 61
SN  - 2415-9107
UR  - https://m2.mtmt.hu/api/publication/31819695
ID  - 31819695
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Hegyi, P
AU  - Soós, A
AU  - Tóth, Emese
AU  - Ébert, Attila
AU  - Venglovecz, Viktória
AU  - Márta, K
AU  - Mikó, A
AU  - Bajor, J
AU  - Sarlós, P
AU  - Vincze, Á
AU  - Szabó-Halász, Adrienn
AU  - Izbéki, F
AU  - Szepes, Zoltán
AU  - Czakó, László
AU  - Kovács, L. Gábor
AU  - Papp, Mária
AU  - Dubravcsik, Zsolt
AU  - Varga, M
AU  - Hamvas, J
AU  - Németh, Balázs
AU  - Erőss, B
AU  - Pécsi, D
AU  - Szentesi, Andrea Ildikó
AU  - Párniczky, A
AU  - Hegyi, Péter
TI  - The new definition of early chronic pancreatitis
JF  - CENTRAL EUROPEAN JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY / GASZTROENTEROLÓGIAI ÉS HEPATOLÓGIAI SZEMLE
J2  - CENT EUR J GASTRO HEPATOL
VL  - 6
PY  - 2020
IS  - Suppl 2
SP  - 54
EP  - 54
PG  - 1
SN  - 2415-9107
UR  - https://m2.mtmt.hu/api/publication/31784556
ID  - 31784556
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Mosztbacher, Dóra
AU  - Hanák, Lilla
AU  - Borbásné Farkas, Kornélia
AU  - Szentesi, Andrea Ildikó
AU  - Mikó, Alexandra
AU  - Bajor, Judit
AU  - Sarlós, Patrícia
AU  - Czimmer, József
AU  - Vincze, Áron
AU  - Hegyi, Péter Jenő
AU  - Erőss, Bálint Mihály
AU  - Takács, Tamás
AU  - Czakó, László
AU  - Németh, Balázs
AU  - Izbéki, Ferenc
AU  - Szabó-Halász, Adrienn
AU  - Gajdán, László
AU  - Hamvas, József
AU  - Papp, Mária
AU  - Földi, Ildikó
AU  - Fehér, Krisztina Eszter
AU  - Varga, Márta
AU  - Csefkó, Klára
AU  - Török, Imola
AU  - Farkas, Hunor Pál
AU  - Mickevicius, Artautas
AU  - Maldonado, Elena Ramirez
AU  - Sallinen, Ville
AU  - Novák, János
AU  - Ince, Ali Tüzün
AU  - Galeev, Shamil
AU  - Bod, Barnabás
AU  - Sümegi, János
AU  - Pencik, Petr
AU  - Dubravcsik, Zsolt
AU  - Illés, Dóra
AU  - Gódi, Szilárd
AU  - Kui, Balázs
AU  - Márta, Katalin
AU  - Pécsi, Dániel
AU  - Varjú, Péter
AU  - Szakács, Zsolt
AU  - Darvasi, Erika
AU  - Párniczky, Andrea
AU  - Hegyi, Péter
TI  - Hypertriglyceridemia-induced acute pancreatitis: A prospective, multicenter, international cohort analysis of 716 acute pancreatitis cases
JF  - PANCREATOLOGY
J2  - PANCREATOLOGY
VL  - 20
PY  - 2020
IS  - 4
SP  - 608
EP  - 616
PG  - 9
SN  - 1424-3903
DO  - 10.1016/j.pan.2020.03.018
UR  - https://m2.mtmt.hu/api/publication/31280739
ID  - 31280739
N1  - * Megosztott szerzőség
AB  - Background Hypertriglyceridemia is the third most common cause of acute pancreatitis (AP). It has been shown that hypertriglyceridemia aggravates the severity and related complications of AP; however, detailed analyses of large cohorts are inadequate and contradictory. Our aim was to investigate the dose-dependent effect of hypertriglyceridemia on AP. Methods AP patients over 18 years old who underwent triglyceride measurement within the initial three days were included into our cohort analysis from a prospective international, multicenter AP registry operated by the Hungarian Pancreatic Study Group. Data on 716 AP cases were analyzed. Six groups were created based on the highest triglyceride level (<1.7 mmol/l, 1.7–2.19 mmol/l, 2.2–5.59 mmol/l, 5.6–11.29 mmol/l, 11.3–22.59 mmol/l, ≥22.6 mmol/l). Results Hypertriglyceridemia (≥1.7 mmol/l) presented in 30.6% of the patients and was significantly and dose-dependently associated with younger age and male gender. In 7.7% of AP cases, hypertriglyceridemia (≥11.3 mmol/l) was considered as a causative etiological factor; however, 43.6% of these cases were associated with other etiologies (alcohol and biliary). Hypertriglyceridemia was significantly and dose-dependently related to obesity and diabetes. The rates of local complications, organ failure and maximum CRP level were significantly and dose-dependently raised by hypertriglyceridemia. Triglyceride above 11.3 mmol/l was linked to a significantly higher incidence of moderately severe AP and longer hospital stay, whereas triglyceride over 22.6 mmol/l was significantly associated with severe AP as well. Conclusion Hypertriglyceridemia dose-dependently aggravates the severity and related complications of AP. Diagnostic workup for hypertriglyceridemia requires better awareness regardless of the etiology of AP.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Párniczky, Andrea
AU  - Lantos, Tamás
AU  - Tóth, Eszter Margit
AU  - Szakács, Zsolt
AU  - Gódi, Szilárd
AU  - Hágendorn, Roland
AU  - Illés, Dóra
AU  - Koncz, Balázs
AU  - Márta, Kata
AU  - Mikó, Alexandra
AU  - Mosztbacher, Dora
AU  - Németh, Balázs
AU  - Pécsi, Dániel
AU  - Szabó, Anikó
AU  - Szűcs, Ákos
AU  - Varjú, Péter
AU  - Szentesi, Andrea
AU  - Darvasi, Erika
AU  - Erőss, Bálint
AU  - Izbéki, Ferenc
AU  - Gajdán, László
AU  - Szabó-Halász, Adrienn
AU  - Vincze, Aron
AU  - Szabó, Imre
AU  - Pár, Gabriella
AU  - Bajor, Judit
AU  - Sarlós, Patrícia
AU  - Czimmer, József
AU  - Hamvas, József
AU  - Takács, Tamás
AU  - Szepes, Zoltán
AU  - Czakó, László
AU  - Varga, Márta
AU  - Novák, János
AU  - Bod, Barnabás
AU  - Szepes, Attila
AU  - Sümegi, János
AU  - Papp, Mária
AU  - Góg, Csaba
AU  - Török, Imola
AU  - Huang, Wei
AU  - Xia, Qing
AU  - Xue, Ping
AU  - Li, Weiqin
AU  - Chen, Weiwei
AU  - Shirinskaya, Natalia V.
AU  - Poluektov, Vladimir L.
AU  - Shirinskaya, Anna V.
AU  - Hegyi, Péter
AU  - Bátovsky, Marian
AU  - Rodriguez-Oballe, Juan A.
AU  - Salas, Isabel Miguel
AU  - Lopez-Diaz, Javier
AU  - Dominguez-Munoz, J Enrique
AU  - Molero, Xavier
AU  - Pando, Elizabeth
AU  - Ruiz-Rebollo, Maria Lourdes
AU  - Burgueño-Gómez, Beatriz
AU  - Chang, Yu-Ting
AU  - Chang, Ming-Chu
AU  - Sud, Ajay
AU  - Moore, Danielle
AU  - Sutton, Robert
AU  - Gougol, Amir
AU  - Papachristou, Georgios
AU  - Susak, Yaroslav Mykhailovych
AU  - Tiuliukin, Illia Olehovych
AU  - Gomes, António P.
AU  - Oliveira, Maria Jesus
AU  - Aparício, Davis Joao
AU  - Tantau, Marcell
AU  - Kurti, Floreta
AU  - Kovacheva-Slavova, Mila
AU  - Strecher, Stephanie-Susanne
AU  - Mayerle, Julia
AU  - Poporat, Goran
AU  - Das, Kshaunish
AU  - Marino, Marco Vito
AU  - Capurso, Gabriele
AU  - Małecka-Panas, Ewa
AU  - Zatorski, Hubert
AU  - Gasiorowska, Anita
AU  - Fabisiak, Natalia
AU  - Ceranowicz, Piotr
AU  - Kuśnierz-Cabala, Beata
AU  - Carvalho, Johana Rita
AU  - Fernandes, Samuel Raimundo
AU  - Chang, Jae Hyuck
AU  - Choi, Eun Kwang
AU  - Han, Jimin
AU  - Bertilsson, Sara
AU  - Jumaa, Hanaz
AU  - Sandblom, Gabriel
AU  - Kacar, Sabite
AU  - Baltatzis, Minas
AU  - Varabei, Aliaksandr Vladimir
AU  - Yeshi, Vizhynis
AU  - Chooklin, Serge
AU  - Kozachenko, Andriy
AU  - Veligotsky, Nikolay
AU  - Hegyi, Péter
TI  - Antibiotic therapy in acute pancreatitis: from global overuse to evidence based recommendations
JF  - PANCREATOLOGY
J2  - PANCREATOLOGY
VL  - 19
PY  - 2019
IS  - Suppl 1
SP  - S148
EP  - S150
PG  - 3
SN  - 1424-3903
DO  - 10.1016/j.pan.2019.05.401
UR  - https://m2.mtmt.hu/api/publication/31627571
ID  - 31627571
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Erőss, Bálint
AU  - Farkas, Nelli
AU  - Hanák, Lilla
AU  - Mikó, Alexandra
AU  - Vincze, Aron
AU  - Gódi, Szilárd
AU  - Sarlós, Patrícia
AU  - Czimmer, József
AU  - Bajor, Judit
AU  - Pécsi, Dániel
AU  - Varjú, Péter
AU  - Márta, Kata
AU  - Hegyi, Péter
AU  - Szentesi, Andrea
AU  - Párniczky, Andrea
AU  - Hamvas, József
AU  - Bod, Barnabás
AU  - Török, Imola
AU  - Hunor-Pál, Farkas
AU  - Izbéki, Ferenc
AU  - Szabó-Halász, Adrienn
AU  - Dunás, Veronika
AU  - Gajdán, László
AU  - Czakó, László
AU  - Illés, Dóra
AU  - Takács, Tamás
AU  - Németh, Balázs
AU  - Kui, Balázs
AU  - Darvasi, Erika
AU  - Papp, Mária
AU  - Földi, Ildikó
AU  - Fehér, Eszter
AU  - Varga, Márta
AU  - Csefkó, Klára
AU  - Novák, János
AU  - Sümegi, János
AU  - Szepes, Attila
AU  - Mickevicius, Artautas
AU  - Maldonado, Elena Ramirez
AU  - Sallinen, Ville
AU  - Ince, Ali Tüzün
AU  - Galeev, Shamil
AU  - Pencik, Petr
AU  - Hegyi, Péter
TI  - A Multicenter, International Cohort Analysis of 1435 Patients to Support Clinical Trial Design in Acute Pancreatitis
JF  - PANCREATOLOGY
J2  - PANCREATOLOGY
VL  - 19
PY  - 2019
IS  - Suppl 1
SP  - S147
EP  - S148
SN  - 1424-3903
DO  - 10.1016/j.pan.2019.05.399
UR  - https://m2.mtmt.hu/api/publication/31627542
ID  - 31627542
LA  - English
DB  - MTMT
ER  -