@article{MTMT:34794479,
	title = {Relationships between the Structural Characteristics of General Medical Practices and the Socioeconomic Status of Patients with Diabetes-Related Performance Indicators in Primary Care},
	url = {https://m2.mtmt.hu/api/publication/34794479},
	author = {Jargalsaikhan, Undraa and Kasabji, Feras and Vincze, Ferenc and Poráczkiné Pálinkás, Anita and Kőrösi, László and Sándor, János},
	doi = {10.3390/healthcare12070704},
	journal-iso = {HEALTHCARE-BASEL},
	journal = {HEALTHCARE},
	volume = {12},
	unique-id = {34794479},
	abstract = {The implementation of monitoring for general medical practice (GMP) can contribute to improving the quality of diabetes mellitus (DM) care. Our study aimed to describe the associations of DM care performance indicators with the structural characteristics of GMPs and the socioeconomic status (SES) of patients. Using data from 2018 covering the whole country, GMP-specific indicators standardized by patient age, sex, and eligibility for exemption certificates were computed for adults. Linear regression models were applied to evaluate the relationships between GMP-specific parameters (list size, residence type, geographical location, general practitioner (GP) vacancy and their age) and patient SES (education, employment, proportion of Roma adults, housing density) and DM care indicators. Patients received 58.64% of the required medical interventions. A lower level of education (hemoglobin A1c test: β = −0.108; ophthalmic examination: β = −0.100; serum creatinine test: β = −0.103; and serum lipid status test: β = −0.108) and large GMP size (hemoglobin A1c test: β = −0.068; ophthalmological examination β = −0.031; serum creatinine measurement β = −0.053; influenza immunization β = −0.040; and serum lipid status test β = −0.068) were associated with poor indicators. A GP age older than 65 years was associated with lower indicators (hemoglobin A1c test: β = −0.082; serum creatinine measurement: β = −0.086; serum lipid status test: β = −0.082; and influenza immunization: β = −0.032). Overall, the GMP-level DM care indicators were significantly influenced by GMP characteristics and patient SES. Therefore, proper diabetes care monitoring for the personal achievements of GPs should involve the application of adjusted performance indicators.},
	year = {2024},
	eissn = {2227-9032},
	pages = {704},
	orcid-numbers = {Kasabji, Feras/0000-0003-1108-2569}
}

@article{MTMT:34602473,
	title = {Single Nucleotide Variants (SNVs) of the Mesocorticolimbic System Associated with Cardiovascular Diseases and Type 2 Diabetes: A Systematic Review},
	url = {https://m2.mtmt.hu/api/publication/34602473},
	author = {Merzah, Mohammed and Natae, Shewaye Fituma and Sándor, János and Fiatal, Szilvia},
	doi = {10.3390/genes15010109},
	journal-iso = {GENES-BASEL},
	journal = {GENES},
	volume = {15},
	unique-id = {34602473},
	issn = {2073-4425},
	abstract = {The mesocorticolimbic (MCL) system is crucial in developing risky health behaviors which lead to cardiovascular diseases (CVDs) and type 2 diabetes (T2D). Although there is some knowledge of the MCL system genes linked to CVDs and T2D, a comprehensive list is lacking, underscoring the significance of this review. This systematic review followed PRISMA guidelines and the Cochrane Handbook for Systematic Reviews of Interventions. The PubMed and Web of Science databases were searched intensively for articles related to the MCL system, single nucleotide variants (SNVs, formerly single nucleotide polymorphisms, SNPs), CVDs, T2D, and associated risk factors. Included studies had to involve a genotype with at least one MCL system gene (with an identified SNV) for all participants and the analysis of its link to CVDs, T2D, or associated risk factors. The quality assessment of the included studies was performed using the Q-Genie tool. The VEP and DAVID tools were used to annotate and interpret genetic variants and identify enriched pathways and gene ontology terms associated with the gene list. The review identified 77 articles that met the inclusion criteria. These articles provided information on 174 SNVs related to the MCL system that were linked to CVDs, T2D, or associated risk factors. The COMT gene was found to be significantly related to hypertension, dyslipidemia, insulin resistance, obesity, and drug abuse, with rs4680 being the most commonly reported variant. This systematic review found a strong association between the MCL system and the risk of developing CVDs and T2D, suggesting that identifying genetic variations related to this system could help with disease prevention and treatment strategies.},
	keywords = {Diabetes; SNP; GENE VARIANT; CVDs; reward pathway; SNV; Mesocorticolimbic},
	year = {2024},
	eissn = {2073-4425}
}

@{MTMT:34560839,
	title = {Biostatisztikai módszerek alkalmazása a klinikai kutatásokban},
	url = {https://m2.mtmt.hu/api/publication/34560839},
	author = {Sándor, János},
	booktitle = {Klinikai kutatások - átfogó ismeretek a tervezéstől a közlésig},
	unique-id = {34560839},
	year = {2024},
	pages = {199-220}
}

@article{MTMT:34533032,
	title = {Cross-sectional comparison of health care delivery and reimbursement between segregated and nonsegregated communities in Hungary},
	url = {https://m2.mtmt.hu/api/publication/34533032},
	author = {Kasabji, Feras and Vincze, Ferenc and Lakatos, Kinga and Poráczkiné Pálinkás, Anita and Kőrösi, László and Ulicska, László and Kósa, Karolina and Ádány, Róza and Sándor, János},
	doi = {10.3389/fpubh.2024.1152555},
	journal-iso = {FRONT PUBLIC HEALTH},
	journal = {FRONTIERS IN PUBLIC HEALTH},
	volume = {12},
	unique-id = {34533032},
	year = {2024},
	eissn = {2296-2565}
}

@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:34693667,
	title = {Association of HDL subfraction profile with the progression of insulin resistance},
	url = {https://m2.mtmt.hu/api/publication/34693667},
	author = {Pikó, Péter and Kósa, Zsigmond and Sándor, János and Kovács, Nóra and Seres, Ildikó and Paragh, György and Ádány, Róza},
	journal-iso = {EUR J PUBLIC HEALTH},
	journal = {EUROPEAN JOURNAL OF PUBLIC HEALTH},
	volume = {33},
	unique-id = {34693667},
	issn = {1101-1262},
	year = {2023},
	eissn = {1464-360X}
}

@{MTMT:34657379,
	title = {Epidemiológiai módszerek (demográfia, a lakosság állapotának mérése, egyenlőtlenségek a népesség egészségi állapotában)},
	url = {https://m2.mtmt.hu/api/publication/34657379},
	author = {Sándor, János},
	booktitle = {Megelőző orvostan és népegészségtan},
	unique-id = {34657379},
	year = {2023},
	pages = {21-106}
}

@book{MTMT:34473287,
	title = {Megelőző orvostan és népegészségtan},
	url = {https://m2.mtmt.hu/api/publication/34473287},
	isbn = {9789632269078},
	editor = {Ádány, Róza and Kiss, István and Paulik, Edit and Sándor, János and Ungvári, Zoltán István},
	publisher = {Medicina Könyvkiadó Zrt.},
	unique-id = {34473287},
	year = {2023},
	orcid-numbers = {Paulik, Edit/0000-0002-3446-4327; Ungvári, Zoltán István/0000-0002-6035-6039}
}

@article{MTMT:34323884,
	title = {Association of HDL-C subfraction profile with the progression of insulin resistance},
	url = {https://m2.mtmt.hu/api/publication/34323884},
	author = {Pikó, Péter and Kósa, Zsigmond and Sándor, János and Seres, Ildikó and Paragh, György and Ádány, Róza},
	doi = {10.1016/j.atherosclerosis.2023.06.244},
	journal-iso = {ATHEROSCLEROSIS},
	journal = {ATHEROSCLEROSIS},
	volume = {379},
	unique-id = {34323884},
	issn = {0021-9150},
	year = {2023},
	eissn = {1879-1484},
	pages = {S60-S61}
}

@article{MTMT:34191832,
	title = {Lehetne jobban?! – A háziorvosi teljesítmény értékelésének módszertani továbbfejlesztése = COULD IT BE BETTER?! – METHODOLOGICAL DEVELOPMENT OF EVALUATION OF THE GENERAL PRACTITIONERS’ PERFORMANCE},
	url = {https://m2.mtmt.hu/api/publication/34191832},
	author = {Poráczkiné Pálinkás, Anita and Vincze, Ferenc and Kovács, Nóra and Sipos, Valéria and Czifra, Árpád and Kolozsvári, László Róbert and Rurik, Imre and Sándor, János},
	doi = {10.33616/lam.33.0446},
	journal-iso = {LEGE ART MED},
	journal = {LEGE ARTIS MEDICINAE},
	volume = {33},
	unique-id = {34191832},
	issn = {0866-4811},
	abstract = {Bevezetés – Az alapellátás hatékonyságát a háziorvos (HO) egyéni jellemzőin és a praxis sajátosságain túl, általa nem befolyásolható tényezők határozzák meg, melyek figyelembevétele a jelenlegi hazai teljesítményértékelési rendszerben nem hang súlyos. Célkitűzés – Vizsgálatunkkal szerettük volna demonstrálni, hogy milyen módon egészítené ki a HO-i teljesítmények praxisjellemzőkkel korrigált értékelése a jelenleg működő értékelési rendszert. Módszer – A Nemzeti Egészség biztosítási Alapkezelő (NEAK) 12 indikátorának 2012. és 2018. évi adatait elemeztük. A HO-k szakmai teljesítményének értékeléséhez az ellátottak szociodemográfiai összetételére és a praxis elhelyezkedésére korrigált indikátorokat fejlesztettünk, és vizsgáltuk, hogy a betegek ellátottsága milyen mértékben függ a HO teljesítményétől. Eredmények – A praxisjellemzőkre korrigált indikátorok szerint a NEAK által kiemelt praxisok 43,5%-ának, illetve 21,8%-ának volt kiemelkedő a szakmai teljesítménye, az átlagos teljesítmények 19,1%-a, illetve 32,1%-a kapott többletfinanszírozást, míg a kiemelkedő teljesítmények 15,3%-át, illetve 27,9%-át nem ismerte el a NEAK pontrendszere. Megbeszélés – A jelenlegi rendszer alkalmas a betegek ellátottságának monitorozására, azonban az indikátorok sok esetben csak a kedvező adottságokat tükrözik, alulértékelve a kedvezőtlen helyzetű praxisok teljesítményét. Következtetés – A nyers és praxisjellemzőkre korrigált indikátorok együttes alkalmazása megalapozhatná azt a teljesítményértékelést, amire hatékonyabb intervenciók és teljesítményösztönző finanszírozási rendszer lenne építhető.},
	year = {2023},
	eissn = {2063-4161},
	pages = {446-457}
}