ELIZA cgi-bash version rev. 1.90
- Medical English LInking keywords finder for the PubMed Zipped Archive (ELIZA) -

return kwic search for important out of >500 occurrences
448856 occurrences (No.37 in the rank) during 5 years in the PubMed. [no cache] 500 found
104) Other relevant variables are also collected from patients for a given drug and its indication, and it is important to characterize the dynamic effects and links between these variables in order to improve the speed and efficiency of clinical oncology drug development.
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PMID:24134068 DOI:10.1111/bcp.12258
2015 British journal of clinical pharmacology
* Population pharmacokinetic-pharmacodynamic modelling in oncology: a tool for predicting clinical response.
- In oncology trials, overall survival (OS) is considered the most reliable and preferred endpoint to evaluate the benefit of drug treatment. Other relevant variables are also collected from patients for a given drug and its indication, and it is important to characterize the dynamic effects and links between these variables in order to improve the speed and efficiency of clinical oncology drug development. However, the drug-induced effects and causal relationships are often difficult to interpret because of temporal differences. To address this, population pharmacokinetic-pharmacodynamic (PKPD) modelling and parametric time-to-event (TTE) models are becoming more frequently applied. Population PKPD and TTE models allow for exploration towards describing the data, understanding the disease and drug action over time, investigating relevance of biomarkers, quantifying patient variability and in designing successful trials. In addition, development of models characterizing both desired and adverse effects in a modelling framework support exploration of risk-benefit of different dosing schedules. In this review, we have summarized population PKPD modelling analyses describing tumour, tumour marker and biomarker responses, as well as adverse effects, from anticancer drug treatment data. Various model-based metrics used to drive PD response and predict OS for oncology drugs and their indications are also discussed.
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(1)65 role (16)4 data (31)2 alternative (46)2 indicator
(2)37 for (17)4 differences (32)2 aspect (47)2 mechanism
(3)34 to (18)3 approach (33)2 baseline (48)2 model
(4)28 in (19)3 causes (34)2 because (49)2 molecular
(5)15 implications (20)3 clinical (35)2 bivalve, (50)2 not
(6)11 factor (21)3 findings (36)2 complication (51)2 pathogen
(7)9 *null* (22)3 genes (37)2 components (52)2 phenomenon
(8)9 and (23)3 health (38)2 consequences (53)2 physiological
(9)8 determinants (24)3 human (39)2 contributor (54)2 protective
(10)8 roles (25)3 insights (40)2 coping (55)2 route
(11)7 factors (26)3 policy (41)2 determinant (56)2 standard
(12)6 cause (27)3 predictors (42)2 economic (57)2 step
(13)5 component (28)3 public (43)2 element (58)2 strategic
(14)5 risk (29)3 when (44)2 fish (59)2 subset
(15)4 as (30)2 DNA (45)2 function (60)2 target

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--- WordNet output for important --- =>重要な, 有力な, 重大な, 大切な Overview of adj important The adj important has 5 senses (first 4 from tagged texts) 1. (146) important, of import -- (of great significance or value; "important people"; "the important questions of the day") 2. (4) significant, important -- (important in effect or meaning; "a significant change in tax laws"; "a significant change in the Constitution"; "a significant contribution"; "significant details"; "statistically significant") 3. (2) crucial, important -- (of extreme importance; vital to the resolution of a crisis; "a crucial moment in his career"; "a crucial election"; "a crucial issue for women") 4. (1) authoritative, important -- (having authority or ascendancy or influence; "an important official"; "the captain's authoritative manner") 5. important -- (having or suggesting a consciousness of high position; "recited the decree with an important air"; "took long important strides in the direction of his office") --- WordNet end ---