@article{MTMT:34725226,
	title = {Prognostic Models for Global Functional Outcome and Post-Concussion Symptoms Following Mild Traumatic Brain Injury: A Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study},
	url = {https://m2.mtmt.hu/api/publication/34725226},
	author = {Mikolic, Ana and Steyerberg, Ewout W. and Polinder, Suzanne and Wilson, Lindsay and Zeldovich, Marina and von, Steinbuechel Nicole and Newcombe, Virginia F. J. and Menon, David K. and van, der Naalt Joukje and Lingsma, Hester F. and Maas, Andrew I. R. and van, Klaveren David},
	doi = {10.1089/neu.2022.0320},
	journal-iso = {J NEUROTRAUM},
	journal = {JOURNAL OF NEUROTRAUMA},
	volume = {40},
	unique-id = {34725226},
	issn = {0897-7151},
	abstract = {After mild traumatic brain injury (mTBI), a substantial proportion of individuals do not fully recover on the Glasgow Outcome Scale Extended (GOSE) or experience persistent post-concussion symptoms (PPCS). We aimed to develop prognostic models for the GOSE and PPCS at 6 months after mTBI and to assess the prognostic value of different categories of predictors (clinical variables; questionnaires; computed tomography [CT]; blood biomarkers). From the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we included participants aged 16 or older with Glasgow Coma Score (GCS) 13-15. We used ordinal logistic regression to model the relationship between predictors and the GOSE, and linear regression to model the relationship between predictors and the Rivermead Post-concussion Symptoms Questionnaire (RPQ) total score. First, we studied a pre-specified Core model. Next, we extended the Core model with other clinical and sociodemographic variables available at presentation (Clinical model). The Clinical model was then extended with variables assessed before discharge from hospital: early post-concussion symptoms, CT variables, biomarkers, or all three categories (extended models). In a subset of patients mostly discharged home from the emergency department, the Clinical model was extended with 2-3-week post-concussion and mental health symptoms. Predictors were selected based on Akaike's Information Criterion. Performance of ordinal models was expressed as a concordance index (C) and performance of linear models as proportion of variance explained (R2). Bootstrap validation was used to correct for optimism. We included 2376 mTBI patients with 6-month GOSE and 1605 patients with 6-month RPQ. The Core and Clinical models for GOSE showed moderate discrimination (C = 0.68 95% confidence interval 0.68 to 0.70 and C = 0.70[0.69 to 0.71], respectively) and injury severity was the strongest predictor. The extended models had better discriminative ability (C = 0.71[0.69 to 0.72] with early symptoms; 0.71[0.70 to 0.72] with CT variables or with blood biomarkers; 0.72[0.71 to 0.73] with all three categories). The performance of models for RPQ was modest (R2 = 4% Core; R2 = 9% Clinical), and extensions with early symptoms increased the R2 to 12%. The 2-3-week models had better performance for both outcomes in the subset of participants with these symptoms measured (C = 0.74 [0.71 to 0.78] vs. C = 0.63[0.61 to 0.67] for GOSE; R2 = 37% vs. 6% for RPQ). In conclusion, the models based on variables available before discharge have moderate performance for the prediction of GOSE and poor performance for the prediction of PPCS. Symptoms assessed at 2-3 weeks are required for better predictive ability of both outcomes. The performance of the proposed models should be examined in independent cohorts.},
	keywords = {PREDICTION; Biomarkers; Biomarkers; questionnaire; RISK-FACTORS; Mild traumatic brain injury; HEAD-INJURY; PREDICTORS; Clinical Neurology; post-concussion symptoms; Critical Care Medicine; Glasgow Outcome Scale Extended},
	year = {2023},
	eissn = {1557-9042},
	pages = {1651-1670},
	orcid-numbers = {Wilson, Lindsay/0000-0003-4113-2328; Zeldovich, Marina/0000-0003-0172-9904; Newcombe, Virginia F. J./0000-0001-6044-9035}
}

@article{MTMT:34441246,
	title = {Elevated level of serum human epididymis protein 4 (HE4) predicts disease severity and mortality in COVID-19 pneumonia},
	url = {https://m2.mtmt.hu/api/publication/34441246},
	author = {Sütő, Renáta and Pócsi, Marianna and Szabó, Zsolt and Fejes, Zsolt and Ivády, Gergely and Kerekes, György and Fagyas, Miklós and Nagy, Attila Csaba and Szentkereszty, Zoltán and Kappelmayer, János and Nagy, Béla},
	doi = {10.1186/s12890-023-02811-y},
	journal-iso = {BMC PULM MED},
	journal = {BMC PULMONARY MEDICINE},
	volume = {23},
	unique-id = {34441246},
	issn = {1471-2466},
	year = {2023},
	eissn = {1471-2466},
	orcid-numbers = {Nagy, Attila Csaba/0000-0002-0554-7350}
}

@article{MTMT:33674686,
	title = {Overexpression of CXCL8/CXCR2 ligand/receptor system indicates melanoma metastasis formation into the liver},
	url = {https://m2.mtmt.hu/api/publication/33674686},
	author = {Koroknai, Viktória and Szász, István and Jámbor, Krisztina and Balázs, Margit},
	journal-iso = {EUR J CANCER},
	journal = {EUROPEAN JOURNAL OF CANCER},
	volume = {EACR 2022 Abstract Book},
	unique-id = {33674686},
	issn = {0959-8049},
	year = {2022},
	eissn = {1879-2995},
	pages = {239-240}
}

@article{MTMT:33674653,
	title = {Clinical utility of liquid biopsy in colorectal cancer},
	url = {https://m2.mtmt.hu/api/publication/33674653},
	author = {Szász, István and Koroknai, Viktória and Kiss, Tímea and V., Patel and A., Mokánszki and J., Deák and Jámbor, Krisztina and Ádány, Róza and Balázs, Margit},
	journal-iso = {EUR J CANCER},
	journal = {EUROPEAN JOURNAL OF CANCER},
	volume = {EACR 2022 Abstract Book},
	unique-id = {33674653},
	issn = {0959-8049},
	year = {2022},
	eissn = {1879-2995},
	pages = {50-51}
}

@techreport{MTMT:33673642,
	title = {A COVID-19 megbetegedés, halálozás és oltottság alakulása és összefüggése a társadalmi-gazdasági helyzettel a 2–4. járványhullámok idején Magyarországon Spatial distribution of COVID-19 morbidity, mortal},
	url = {https://m2.mtmt.hu/api/publication/33673642},
	author = {Attila, Juhász and Nagy, Csilla and Oroszi, Beatrix and Ádány, Róza},
	unique-id = {33673642},
	year = {2022},
	orcid-numbers = {Oroszi, Beatrix/0000-0001-8915-0336}
}

@article{MTMT:33666121,
	title = {A melanoma sejtvonalak citokin és kemokin receptor expressziója máj endothel sejtek hatására},
	url = {https://m2.mtmt.hu/api/publication/33666121},
	author = {Koroknai, Viktória and Szász, István and Balázs, Margit},
	journal-iso = {NÉPEGÉSZSÉGÜGY},
	journal = {NÉPEGÉSZSÉGÜGY},
	volume = {99},
	unique-id = {33666121},
	issn = {0369-3805},
	year = {2022},
	pages = {242-242}
}

@article{MTMT:33666084,
	title = {Differences in genetic susceptibility to insulin resistance and its association with life expectancy in the Hungarian general and Roma populations},
	url = {https://m2.mtmt.hu/api/publication/33666084},
	author = {Werissa, Nardos Abebe and Pikó, Péter and Ádány, Róza},
	journal-iso = {NÉPEGÉSZSÉGÜGY},
	journal = {NÉPEGÉSZSÉGÜGY},
	volume = {99},
	unique-id = {33666084},
	issn = {0369-3805},
	year = {2022},
	pages = {235-236},
	orcid-numbers = {Werissa, Nardos Abebe/0000-0001-8809-4491}
}

@article{MTMT:33665955,
	title = {Strongly associated prothrombotic SNPs could efficiently predict the venous thrombosis risk},
	url = {https://m2.mtmt.hu/api/publication/33665955},
	author = {Natae, Shewaye Fituma and Sándor, János and Ádány, Róza and Fiatal, Szilvia},
	journal-iso = {NÉPEGÉSZSÉGÜGY},
	journal = {NÉPEGÉSZSÉGÜGY},
	volume = {99},
	unique-id = {33665955},
	issn = {0369-3805},
	year = {2022},
	pages = {230-231}
}

@article{MTMT:33665877,
	title = {Dietary analysis among Roma raises concerns about health and environmental implications of the state of nutrition in Hungary},
	url = {https://m2.mtmt.hu/api/publication/33665877},
	author = {Llanaj, Erand and Ádány, Róza},
	journal-iso = {NÉPEGÉSZSÉGÜGY},
	journal = {NÉPEGÉSZSÉGÜGY},
	volume = {99},
	unique-id = {33665877},
	issn = {0369-3805},
	year = {2022},
	pages = {226-226},
	orcid-numbers = {Llanaj, Erand/0000-0003-4300-0433}
}

@article{MTMT:33665789,
	title = {Folyadék biopszián alapuló biomarkerek azonosítása vastagbélrákban},
	url = {https://m2.mtmt.hu/api/publication/33665789},
	author = {Szász, István and Kiss, Tímea and Mokánszki, Attila and Koroknai, Viktória and Deák, János and Ádány, Róza and Balázs, Margit},
	journal-iso = {NÉPEGÉSZSÉGÜGY},
	journal = {NÉPEGÉSZSÉGÜGY},
	volume = {99},
	unique-id = {33665789},
	issn = {0369-3805},
	year = {2022},
	pages = {214-214}
}