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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1834 1
1872 1
1878 1
1885 1
1898 1
1905 1
1913 1
1914 3
1918 1
1919 1
1920 5
1921 1
1924 1
1925 1
1928 3
1929 4
1930 1
1931 3
1933 1
1935 1
1936 3
1937 2
1938 2
1939 2
1941 4
1945 6
1946 18
1947 26
1948 42
1949 37
1950 52
1951 73
1952 54
1953 53
1954 81
1955 77
1956 90
1957 79
1958 73
1959 82
1960 82
1961 97
1962 112
1963 114
1964 134
1965 139
1966 174
1967 189
1968 229
1969 249
1970 307
1971 346
1972 420
1973 582
1974 799
1975 2484
1976 3462
1977 3825
1978 4490
1979 5229
1980 5899
1981 6367
1982 6932
1983 8093
1984 9557
1985 11057
1986 12052
1987 13622
1988 15454
1989 18813
1990 20566
1991 21872
1992 23460
1993 26192
1994 27463
1995 29516
1996 32376
1997 35085
1998 38234
1999 40931
2000 45765
2001 49686
2002 54309
2003 61752
2004 67888
2005 76348
2006 80415
2007 88234
2008 99757
2009 106076
2010 116526
2011 128303
2012 141071
2013 152527
2014 163012
2015 173375
2016 180548
2017 186410
2018 194825
2019 205190
2020 242570
2021 269405
2022 266318
2023 252341
2024 106377
2025 1

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3,499,735 results

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The following term was not found in PubMed: tastaftiyan
Page 1
Showing results for tastaftiyan risk and
Search for Tastaftiyan Risfandy instead (2 results)
Lifestyle factors and high-risk atherosclerosis: Pathways and mechanisms beyond traditional risk factors.
Lechner K, von Schacky C, McKenzie AL, Worm N, Nixdorff U, Lechner B, Kränkel N, Halle M, Krauss RM, Scherr J. Lechner K, et al. Eur J Prev Cardiol. 2020 Mar;27(4):394-406. doi: 10.1177/2047487319869400. Epub 2019 Aug 13. Eur J Prev Cardiol. 2020. PMID: 31408370 Free PMC article. Review.
Collectively, low-risk lifestyle factors cause a set of phenotypic adaptations shifting tissue cross-talk from a proinflammatory milieu conducive for high-risk atherosclerosis to an anti-atherogenic milieu. The ketone body ss-hydroxybutyrate, through inhibition of t …
Collectively, low-risk lifestyle factors cause a set of phenotypic adaptations shifting tissue cross-talk from a proinflammatory mili …
Assessing Cardiovascular Risk in Patients with Diabetes: An Update.
Damaskos C, Garmpis N, Kollia P, Mitsiopoulos G, Barlampa D, Drosos A, Patsouras A, Gravvanis N, Antoniou V, Litos A, Diamantis E. Damaskos C, et al. Curr Cardiol Rev. 2020;16(4):266-274. doi: 10.2174/1573403X15666191111123622. Curr Cardiol Rev. 2020. PMID: 31713488 Free PMC article. Review.
Therefore, it is of paramount importance to individualize treatment via risk stratification. Conditions that increase cardiovascular risk in people with diabetes include age more than 40 years, male gender, history of relative suffering from premature CHD, blood pre …
Therefore, it is of paramount importance to individualize treatment via risk stratification. Conditions that increase cardiovascular …
Cardiovascular Risk Calculators and their Applicability to South Asians.
Bansal M, Ranjan S, Kasliwal RR. Bansal M, et al. Curr Diabetes Rev. 2021;17(9):e100120186497. doi: 10.2174/1573399816999201001204020. Curr Diabetes Rev. 2021. PMID: 33023452 Review.
BACKGROUND: Estimation of absolute cardiovascular disease (CVD) risk and tailoring therapies according to the estimated risk is a fundamental concept in the primary prevention of CVD is assessed in this study. Numerous CVD risk scores are currently available …
BACKGROUND: Estimation of absolute cardiovascular disease (CVD) risk and tailoring therapies according to the estimated risk i …
Cardiovascular risk scores: Usefulness and limitations.
Rocha E. Rocha E. Rev Port Cardiol. 2016 Jan;35(1):15-8. doi: 10.1016/j.repc.2015.11.002. Epub 2016 Jan 2. Rev Port Cardiol. 2016. PMID: 26755402 Free article. English, Portuguese. No abstract available.
Optimizing Cardiovascular Risk Factors.
Nicholls M. Nicholls M. Eur Heart J. 2021 Sep 14;42(35):3420-3421. doi: 10.1093/eurheartj/ehab303. Eur Heart J. 2021. PMID: 34023875 No abstract available.
Coronary Calcium Scanning and Cardiovascular Risk Assessment Among Firefighters.
Ashen MD, Carson KA, Ratchford EV. Ashen MD, et al. Am J Prev Med. 2022 Jan;62(1):18-25. doi: 10.1016/j.amepre.2021.06.005. Epub 2021 Aug 26. Am J Prev Med. 2022. PMID: 34456104
Among these, 28 (93%) had an atherosclerotic cardiovascular disease risk score <7.5%. Thus, if atherosclerotic cardiovascular disease scores alone were used to assess risk in this subset, an opportunity would have been missed to identify and treat firefighters wh …
Among these, 28 (93%) had an atherosclerotic cardiovascular disease risk score <7.5%. Thus, if atherosclerotic cardiovascular dise …
Optimizing Risk Stratification and Noninvasive Diagnosis of Ischemic Heart Disease in Women.
Garuba HA, Erthal F, Stadnick E, Alzahrani A, Chow B, deKemp R, Beanlands RS. Garuba HA, et al. Can J Cardiol. 2018 Apr;34(4):400-412. doi: 10.1016/j.cjca.2018.01.026. Epub 2018 Jan 31. Can J Cardiol. 2018. PMID: 29571424 Review.
Ischemic heart disease (IHD) is an important and previously underappreciated cause of significant morbidity and mortality in women. Key differences exist in the pathophysiology, sex-specific risk factors, and clinical presentation in women compared with men, which influenc …
Ischemic heart disease (IHD) is an important and previously underappreciated cause of significant morbidity and mortality in women. Key diff …
Physical Activity and Cardiorespiratory Fitness: Vital Signs for Cardiovascular Risk Assessment.
Kondamudi N, Mehta A, Thangada ND, Pandey A. Kondamudi N, et al. Curr Cardiol Rep. 2021 Oct 13;23(11):172. doi: 10.1007/s11886-021-01596-y. Curr Cardiol Rep. 2021. PMID: 34647161 Review.
Risk prediction tools have been developed for ASCVD, and more recently for HF, to refine CVD risk assessment and inform CVD prevention strategies. Attempts have been made to incorporate PA and CRF into available CVD risk prediction models. Inclusion of PA and …
Risk prediction tools have been developed for ASCVD, and more recently for HF, to refine CVD risk assessment and inform CVD pr …
3,499,735 results
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