ELIZA

return kwic search for total out of >500 occurrences
296134 occurrences (No.80 in the rank) during 5 years in the PubMed. [cache]

244) Data from the European Study on Cardiovascular Risk Prevention and Management in Usual Daily Practice (EURIKA; ClinicalTrials.gov; NCT00882336) was used to assess the proportions of patients aged 50-65 years free of diabetes and not receiving lipid-lowering therapy (LLT) considered to be at low (<1%), intermediate (1% to <5%) and high (≥5%) 10-year risk of cardiovascular mortality according to the Systematic Coronary Risk Evaluation (SCORE) algorithm and the updated algorithm that considers patients' total cholesterol and high-density lipoprotein cholesterol (HDL-C) levels as independent variables (SCORE-HDL).

--- ABSTRACT ---

PMID:24092875 DOI:10.1177/2047487313507680

2015 European journal of preventive cardiology

* Reclassification of European patients' cardiovascular risk using the updated Systematic Coronary Risk Evaluation algorithm.

- Data from the European Study on Cardiovascular Risk Prevention and Management in Usual Daily Practice (EURIKA; ClinicalTrials.gov; NCT00882336) was used to assess the proportions of patients aged 50-65 years free of diabetes and not receiving lipid-lowering therapy (LLT) considered to be at low (<1%), intermediate (1% to <5%) and high (≥5%) 10-year risk of cardiovascular mortality according to the Systematic Coronary Risk Evaluation (SCORE) algorithm and the updated algorithm that considers patients' total cholesterol and high-density lipoprotein cholesterol (HDL-C) levels as independent variables (SCORE-HDL). Of 2321 patients analysed, 19.3%, 60.7% and 20.0% were considered to be at low, intermediate and high cardiovascular risk respectively according to SCORE, and 25.7%, 57.2% and 17.1% respectively according to SCORE-HDL. Thus, there was an overall trend towards reclassification from higher to lower risk categories when SCORE-HDL was compared with SCORE.

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(1)187 of	(14)3 adhesive	(27)2 BGP	(40)2 organic
(2)21 length	(15)3 annual	(28)2 DNA,	(41)2 oxidant
(3)13 number	(16)3 delivered	(29)2 activity	(42)2 pleural
(4)7 antioxidant	(17)3 knee	(30)2 arch	(43)2 protein,
(5)7 protein	(18)3 length,	(31)2 biomass	(44)2 repetitions
(6)5 body	(19)3 optical	(32)2 collagen	(45)2 scores
(7)5 cholesterol	(20)3 or	(33)2 daily	(46)2 snack
(8)5 dose	(21)3 parenteral	(34)2 dietary	(47)2 soluble
(9)5 score	(22)3 polyphenols	(35)2 exercise	(48)2 stress
(10)4 HG	(23)3 population	(36)2 genome	(49)2 tumor
(11)4 amount	(24)3 sample	(37)2 health-care	(50)2 volume
(12)4 and	(25)3 suspended	(38)2 islet
(13)4 cell	(26)2 248	(39)2 mitochondrial

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--- WordNet output for total --- =>1.(車が)全壊する, 全損する, 2.全体の, 全ての, 総計の, 総体の, 全くの, 完全な, 総力の, 3.総額, 総計, 全体の, (車が)全壊する, 合計(する), なる Overview of noun total The noun total has 2 senses (first 2 from tagged texts) 1. (13) sum, total, totality, aggregate -- (the whole amount) 2. (6) sum, amount, total -- (a quantity obtained by the addition of a group of numbers) Overview of verb total The verb total has 3 senses (first 2 from tagged texts) 1. (16) total, number, add up, come, amount -- (add up in number or quantity; "The bills amounted to $2,000"; "The bill came to $2,000") 2. (2) total, tot, tot up, sum, sum up, summate, tote up, add, add together, tally, add up -- (determine the sum of; "Add all the people in this town to those of the neighboring town") 3. total -- (damage beyond the point of repair; "My son totaled our new car"; "the rock star totals his guitar at every concert") Overview of adj total The adj total has 2 senses (first 2 from tagged texts) 1. (31) entire, full, total -- (constituting the full quantity or extent; complete; "an entire town devastated by an earthquake"; "gave full attention"; "a total failure") 2. (2) full, total -- (complete in extent or degree and in every particular; "a full game"; "a total eclipse"; "a total disaster") --- WordNet end ---