 Hyperlipidemias
"Hyperlipidemias" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Conditions with excess LIPIDS in the blood.
| Descriptor ID |
D006949
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| MeSH Number(s) |
C18.452.584.500.500
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| Concept/Terms |
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Below are MeSH descriptors whose meaning is more general than "Hyperlipidemias".
Below are MeSH descriptors whose meaning is more specific than "Hyperlipidemias".
This graph shows the total number of publications written about "Hyperlipidemias" by people in this website by year, and whether "Hyperlipidemias" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 1 | 0 | 1 | | 1997 | 1 | 1 | 2 | | 2000 | 3 | 1 | 4 | | 2001 | 4 | 0 | 4 | | 2002 | 1 | 2 | 3 | | 2003 | 6 | 3 | 9 | | 2004 | 0 | 1 | 1 | | 2005 | 4 | 2 | 6 | | 2006 | 2 | 1 | 3 | | 2007 | 1 | 1 | 2 | | 2008 | 0 | 2 | 2 | | 2009 | 1 | 2 | 3 | | 2010 | 3 | 0 | 3 | | 2011 | 4 | 6 | 10 | | 2012 | 4 | 1 | 5 | | 2013 | 1 | 1 | 2 | | 2014 | 0 | 1 | 1 | | 2015 | 2 | 1 | 3 | | 2016 | 2 | 2 | 4 | | 2017 | 4 | 1 | 5 | | 2018 | 2 | 0 | 2 | | 2019 | 1 | 4 | 5 | | 2020 | 0 | 1 | 1 | | 2021 | 2 | 0 | 2 | | 2022 | 1 | 0 | 1 | | 2023 | 1 | 0 | 1 |
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Below are the most recent publications written about "Hyperlipidemias" by people in Profiles.
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Li Y, Schmiege SJ, Anderson H, Richmond NE, Young KA, Hokanson JE, Rennard SI, Crume TL, Austin E, Pratte KA, Conway R, Kinney GL. Longitudinal Assessment of Multimorbidity Medication Patterns among Smokers in the COPDGene Cohort. Medicina (Kaunas). 2023 May 18; 59(5).
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McDonald R, Kuhn K, Nguyen TB, Tannous A, Schauer I, Santoro N, Bradford AP. A randomized clinical trial demonstrating cell type specific effects of hyperlipidemia and hyperinsulinemia on pituitary function. PLoS One. 2022; 17(5):e0268323.
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Abdo M, Langan SJ, MaWhinney S, Sun J, Lake JE, Palella FJ, Kingsley L, Brown TT, Erlandson KM. Effect of Statin Therapy on Age-Associated Changes in Physical Function Among Men With and Without HIV in the Multicenter AIDS Cohort Study. J Acquir Immune Defic Syndr. 2021 04 01; 86(4):455-462.
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Tannous A, Bradford AP, Kuhn K, Fought A, Schauer I, Santoro N. A randomised trial examining inflammatory signaling in acutely induced hyperinsulinemia and hyperlipidemia in normal weight women-the reprometabolic syndrome. PLoS One. 2021; 16(3):e0247638.
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Banerjee S, Luo P, Reda DJ, Latif F, Hastings JL, Armstrong EJ, Bagai J, Abu-Fadel M, Baskar A, Kamath P, Lippe D, Wei Y, Scrymgeour A, Gleason TC, Brilakis ES. Plaque Regression and Endothelial Progenitor Cell Mobilization With Intensive Lipid Elimination Regimen (PREMIER). Circ Cardiovasc Interv. 2020 08; 13(8):e008933.
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Surbhi S, Brooks IM, Shuvo SA, Zareie P, Tolley EA, Cossman R, Leak C, Davis RL, Stewart AJ, Bailey JE. A mid-South chronic disease registry and practice-based research network to address disparities. Am J Manag Care. 2020 07 01; 26(7):e211-e218.
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Samarghandian S, Foadoddin M, Zardast M, Mehrpour O, Sadighara P, Roshanravan B, Farkhondeh T. The impact of age-related sub-chronic exposure to chlorpyrifos on metabolic indexes in male rats. Environ Sci Pollut Res Int. 2020 Jun; 27(18):22390-22399.
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Raskind-Hood C, Saraf A, Riehle-Colarusso T, Glidewell J, Gurvitz M, Dunn JE, Lui GK, Van Zutphen A, McGarry C, Hogue CJ, Hoffman T, Rodriguez Iii FH, Book WM. Assessing Pregnancy, Gestational Complications, and Co-morbidities in Women With Congenital Heart Defects (Data from ICD-9-CM Codes in 3 US Surveillance Sites). Am J Cardiol. 2020 03 01; 125(5):812-819.
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Loring Z, Shrader P, Allen LA, Blanco R, Chan PS, Ezekowitz MD, Fonarow GC, Freeman JV, Gersh BJ, Mahaffey KW, Naccarelli GV, Pieper K, Reiffel JA, Singer DE, Steinberg BA, Thomas LE, Peterson ED, Piccini JP. Guideline-directed therapies for comorbidities and clinical outcomes among individuals with atrial fibrillation. Am Heart J. 2020 01; 219:21-30.
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Silva MA, Patel J, Kavouridis V, Gallerani T, Beers A, Chang K, Hoebel KV, Brown J, See AP, Gormley WB, Aziz-Sultan MA, Kalpathy-Cramer J, Arnaout O, Patel NJ. Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture. World Neurosurg. 2019 Nov; 131:e46-e51.
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