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For: Golubnitschaja O, Liskova A, Koklesova L, Samec M, Biringer K, Büsselberg D, Podbielska H, Kunin AA, Evsevyeva ME, Shapira N, Paul F, Erb C, Dietrich DE, Felbel D, Karabatsiakis A, Bubnov R, Polivka J, Polivka J Jr, Birkenbihl C, Fröhlich H, Hofmann-Apitius M, Kubatka P. Caution, "normal" BMI: health risks associated with potentially masked individual underweight-EPMA Position Paper 2021. EPMA J 2021;:1-22. [PMID: 34422142 DOI: 10.1007/s13167-021-00251-4] [Cited by in Crossref: 28] [Cited by in F6Publishing: 31] [Article Influence: 14.0] [Reference Citation Analysis]
Number Citing Articles
1 Gu YJ, Chen LM, Gu ME, Xu HX, Li J, Wu LY. Body mass index-based predictions and personalized clinical strategies for colorectal cancer in the context of PPPM. EPMA J 2022;13:615-32. [PMID: 36505896 DOI: 10.1007/s13167-022-00306-0] [Reference Citation Analysis]
2 Byiringiro S, Koirala B, Ajibewa T, Broni EK, Liu X, Adeleye K, Turkson-Ocran RN, Baptiste D, Ogungbe O, Himmelfarb CD, Gbaba S, Commodore-Mensah Y. Migration-Related Weight Changes among African Immigrants in the United States. Int J Environ Res Public Health 2022;19. [PMID: 36497575 DOI: 10.3390/ijerph192315501] [Reference Citation Analysis]
3 Golubnitschaja O, Potuznik P, Polivka J, Pesta M, Kaverina O, Pieper CC, Kropp M, Thumann G, Erb C, Karabatsiakis A, Stetkarova I, Polivka J, Costigliola V. Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach. EPMA Journal 2022. [DOI: 10.1007/s13167-022-00307-z] [Reference Citation Analysis]
4 Wu Z, Zhang H, Li Z, Li H, Miao X, Pan H, Wang J, Liu X, Kang X, Li X, Tao L, Guo X. Mutual effect of homocysteine and uric acid on arterial stiffness and cardiovascular risk in the context of predictive, preventive, and personalized medicine. EPMA J 2022;13:581-95. [PMID: 36505895 DOI: 10.1007/s13167-022-00298-x] [Reference Citation Analysis]
5 Karabatsiakis A, de Punder K, Salinas-manrique J, Todt M, Dietrich DE. Hair cortisol level might be indicative for a 3PM approach towards suicide risk assessment in depression: comparative analysis of mentally stable and depressed individuals versus individuals after completing suicide. EPMA Journal. [DOI: 10.1007/s13167-022-00296-z] [Reference Citation Analysis]
6 Chwałczyńska A, Kosendiak A, Sobiech KA, Andrzejewski W. Fat–fat-free index in body mass assessment in young people. Front Physiol 2022;13:947514. [DOI: 10.3389/fphys.2022.947514] [Reference Citation Analysis]
7 Evsevieva M, Sergeeva O, Mazurakova A, Koklesova L, Prokhorenko-kolomoytseva I, Shchetinin E, Birkenbihl C, Costigliola V, Kubatka P, Golubnitschaja O. Pre-pregnancy check-up of maternal vascular status and associated phenotype is crucial for the health of mother and offspring. EPMA Journal. [DOI: 10.1007/s13167-022-00294-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 Ju H, Lee KB, Kim BJ, Park JM, Park TH, Cho YJ, Kang K, Cha JK, Kim JT, Lee SJ, Oh MS, Kim DE, Choi JC, Sohn SI, Lee J, Kwon JH, Yum KS, Lee SH, Park KY, Lee KJ, Lee JS, Lee J, Bae HJ; Clinical Research Collaboration for Stroke in Korea (CRCS-K) Investigators. Underweight predicts poststroke cardiovascular events in patients without atrial fibrillation. J Stroke Cerebrovasc Dis 2022;31:106706. [PMID: 35985145 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106706] [Reference Citation Analysis]
9 Kim BR, Yoo TK, Kim HK, Ryu IH, Kim JK, Lee IS, Kim JS, Shin D, Kim Y, Kim BT. Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine. EPMA Journal. [DOI: 10.1007/s13167-022-00292-3] [Reference Citation Analysis]
10 Li L, Venkatesan C. Application of Data Encryption Technology in Computer Network Information Security. Security and Communication Networks 2022;2022:1-8. [DOI: 10.1155/2022/7472205] [Reference Citation Analysis]
11 Hammash D, Mahfood M, Khoder G, Ahmed M, Tlili A, Hamoudi R, Harati R. miR-623 Targets Metalloproteinase-1 and Attenuates Extravasation of Brain Metastatic Triple-Negative Breast Cancer Cells. BCTT 2022;Volume 14:187-198. [DOI: 10.2147/bctt.s372083] [Reference Citation Analysis]
12 Mazurakova A, Koklesova L, Samec M, Kudela E, Sivakova J, Pribulova T, Pec MJ, Pec M, Kello M, Büsselberg D, Golubnitschaja O, Gaspar L, Caprnda M, Adamek M, Prosecky R, Eminova E, Baranenko D, Kruzliak P, Kubatka P, Biringer K. Flavonoids exert potential in the management of hypertensive disorders in pregnancy. Pregnancy Hypertension 2022;29:72-85. [DOI: 10.1016/j.preghy.2022.06.007] [Reference Citation Analysis]
13 Xu J, Zhou H, Cheng Y, Xiang G. Identifying potential signatures for atherosclerosis in the context of predictive, preventive, and personalized medicine using integrative bioinformatics approaches and machine-learning strategies. EPMA Journal. [DOI: 10.1007/s13167-022-00289-y] [Reference Citation Analysis]
14 Kanaka V, Proikakis S, Drakakis P, Loutradis D, Tsangaris GT. Implementing a preimplantation proteomic approach to advance assisted reproduction technologies in the framework of predictive, preventive, and personalized medicine. EPMA Journal. [DOI: 10.1007/s13167-022-00282-5] [Reference Citation Analysis]
15 Sena CM, Gonçalves L, Seiça R. Methods to evaluate vascular function: a crucial approach towards predictive, preventive, and personalised medicine. EPMA Journal. [DOI: 10.1007/s13167-022-00280-7] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
16 Yang S, Zhou P, Lian C, He Z, Wu S. The Predictive Effect of the 8th AJCC Pathological Prognostic Staging on the Benefit of Postmastectomy Radiotherapy in N2/N3 Breast Cancer. BCTT 2022;Volume 14:133-144. [DOI: 10.2147/bctt.s362355] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
17 Mazurakova A, Koklesova L, Samec M, Kudela E, Kajo K, Skuciova V, Csizmár SH, Mestanova V, Pec M, Adamkov M, Al-ishaq RK, Smejkal K, Giordano FA, Büsselberg D, Biringer K, Golubnitschaja O, Kubatka P. Anti-breast cancer effects of phytochemicals: primary, secondary, and tertiary care. EPMA Journal. [DOI: 10.1007/s13167-022-00277-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
18 Li H, Liu R, Long C, Teng Y, Cheng L, Liu Y. Development and Validation of a New Multiparametric Random Survival Forest Predictive Model for Breast Cancer Recurrence with a Potential Benefit to Individual Outcomes. CMAR 2022;Volume 14:909-23. [DOI: 10.2147/cmar.s346871] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Ellinger J, Alajati A, Kubatka P, Giordano FA, Ritter M, Costigliola V, Golubnitschaja O. Prostate cancer treatment costs increase more rapidly than for any other cancer—how to reverse the trend? EPMA Journal 2022;13:1-7. [DOI: 10.1007/s13167-022-00276-3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
20 Arafa A, Kokubo Y, Shimamoto K, Kashima R, Watanabe E, Sakai Y, Li J, Teramoto M, Sheerah HA, Kusano K. Sleep duration and atrial fibrillation risk in the context of predictive, preventive, and personalized medicine: the Suita Study and meta-analysis of prospective cohort studies. EPMA Journal. [DOI: 10.1007/s13167-022-00275-4] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
21 Mun S, Park K, Lee S. Evaluation of thermal sensitivity is of potential clinical utility for the predictive, preventive, and personalized approach advancing metabolic syndrome management. EPMA Journal. [DOI: 10.1007/s13167-022-00273-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Golubnitschaja O, Kubatka P, Mazurakova A, Samec M, Alajati A, Giordano FA, Costigliola V, Ellinger J, Ritter M. Systemic Effects Reflected in Specific Biomarker Patterns Are Instrumental for the Paradigm Change in Prostate Cancer Management: A Strategic Paper. Cancers 2022;14:675. [DOI: 10.3390/cancers14030675] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
23 Ma Y, Ding X, Shao M, Qiu Y, Li S, Cao W, Xu G. Association of Serum Complement C1q and C3 Level with Age-Related Macular Degeneration in Women. JIR 2022;Volume 15:285-94. [DOI: 10.2147/jir.s348539] [Reference Citation Analysis]
24 Li N, Zhan X. Integrated genomic analysis of proteasome alterations across 11,057 patients with 33 cancer types: clinically relevant outcomes in framework of 3P medicine. EPMA J 2021;12:605-27. [PMID: 34956426 DOI: 10.1007/s13167-021-00256-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
25 Anto EO, Coall DA, Addai-Mensah O, Wiafe YA, Owiredu WKBA, Obirikorang C, Annani-Akollor ME, Adua E, Tawiah A, Acheampong E, Asamoah EA, Wang X, Opoku S, Boakye DK, Hou H, Wang Y, Wang W; Suboptimal Health Study Consortium (SHSC). Early gestational profiling of oxidative stress and angiogenic growth mediators as predictive, preventive and personalised (3P) medical approach to identify suboptimal health pregnant mothers likely to develop preeclampsia. EPMA J 2021;12:517-34. [PMID: 34956424 DOI: 10.1007/s13167-021-00258-x] [Reference Citation Analysis]
26 Dębiec-Bąk A, Skrzek A, Podbielska H, Golubnitschaja O, Stefańska M. Superficial temperature distribution patterns before and after physical activity in school children are indicative for personalized exercise coaching and disease prevention. EPMA J 2021;12:435-47. [PMID: 34950250 DOI: 10.1007/s13167-021-00262-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
27 Bertele N, Karabatsiakis A, Buss C, Talmon A. How biomarker patterns can be utilized to identify individuals with a high disease burden: a bioinformatics approach towards predictive, preventive, and personalized (3P) medicine. EPMA J 2021;12:507-16. [PMID: 34950251 DOI: 10.1007/s13167-021-00255-0] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
28 Li S, Qiu Y, Yu J, Shao M, Li Y, Cao W, Sun X. Association of systemic inflammation indices with visual field loss progression in patients with primary angle-closure glaucoma: potential biomarkers for 3P medical approaches. EPMA J 2021;:1-17. [PMID: 34745391 DOI: 10.1007/s13167-021-00260-3] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
29 Kubatka P, Mazurakova A, Samec M, Koklesova L, Zhai K, Al-ishaq R, Kajo K, Biringer K, Vybohova D, Brockmueller A, Pec M, Shakibaei M, Giordano FA, Büsselberg D, Golubnitschaja O. Flavonoids against non-physiologic inflammation attributed to cancer initiation, development, and progression—3PM pathways. EPMA Journal 2021;12:559-87. [DOI: 10.1007/s13167-021-00257-y] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
30 Wang W, Yan Y, Guo Z, Hou H, Garcia M, Tan X, Anto EO, Mahara G, Zheng Y, Li B, Kang T, Zhong Z, Wang Y, Guo X, Golubnitschaja O; Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine. All around suboptimal health - a joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine. EPMA J 2021;:1-31. [PMID: 34539937 DOI: 10.1007/s13167-021-00253-2] [Cited by in Crossref: 33] [Cited by in F6Publishing: 33] [Article Influence: 16.5] [Reference Citation Analysis]