ELIZA

return kwic search for cancer out of >500 occurrences
505522 occurrences (No.25 in the rank) during 5 years in the PubMed. [cache]

313) Detecting statistically significant trends in incidence with cancer registries data not only depends on the size of their covered population but also on the levels of incidence rates, duration of diagnostic period and type of temporal variation.

--- ABSTRACT ---

PMID:24239127 DOI:10.1016/j.ejca.2013.10.008

2015 European journal of cancer (Oxford, England : 1990)

* Power analysis to detect time trends on population-based cancer registries data: When size really matters.

- Detecting statistically significant trends in incidence with cancer registries data not only depends on the size of their covered population but also on the levels of incidence rates, duration of diagnostic period and type of temporal variation. We simulated sample sizes of newly diagnosed cases based on a variety of plausible levels of cancer rates and scenarios of changing trends over a period of about 30 years. Each simulated set of cases was then analysed with joinpoint regression models. The power was derived as the relative frequency of the simulation runs where the p-value of the coefficient was less than 0.05 under the alternative model. In case of a decreasing trend with no change of direction (join), an Annual Percentage Change (APC) of 1% for an average rate of 10 per 100,000 is detectable in populations of half a million inhabitants or more with a nominal power of 80%. In a model with one joinpoint followed by an increasing trend, the minimum detectable APC increases, and an APC of about 2%, can be detected only with populations of at least 2 million. For analyses requiring a larger sample size than the actual covered population, alternative organisational strategies should be considered, such as an extension of population coverage or data pooling and merging from registries with comparable data. (i.e. when heterogeneity across merging registries is low or acceptable for the specific study question).

--- ABSTRACT END ---

[
right
kwic]

[frequency of next (right) word to cancer]

(1)65 null	(14)6 therapy	(27)3 of	(40)2 epigenetics
(2)48 cells	(15)6 tissues	(28)3 patients,	(41)2 growth
(3)33 and	(16)5 cells,	(29)3 research	(42)2 initiation
(4)32 cell	(17)5 progression	(30)3 was	(43)2 prevention
(5)23 patients	(18)5 registries	(31)2 (GC)	(44)2 registry
(6)15 in	(19)4 at	(32)2 biology	(45)2 study
(7)14 is	(20)4 deaths	(33)2 but	(46)2 susceptibility
(8)12 risk	(21)4 has	(34)2 can	(47)2 than
(9)12 screening	(22)4 mortality	(35)2 care	(48)2 treated
(10)12 stem	(23)3 (CRC)	(36)2 development	(49)2 treatment
(11)9 survivors	(24)3 as	(37)2 diagnostic	(50)2 using
(12)7 with	(25)3 cases	(38)2 drug
(13)6 are	(26)3 metabolism	(39)2 drugs

add keyword

--- WordNet output for cancer --- =>【病名】がん, 悪性腫瘍(しゅよう), がん腫, 社会悪, 癌 Overview of noun cancer The noun cancer has 5 senses (first 1 from tagged texts) 1. (15) cancer, malignant neoplastic disease -- (any malignant growth or tumor caused by abnormal and uncontrolled cell division; it may spread to other parts of the body through the lymphatic system or the blood stream) 2. Cancer, Crab -- ((astrology) a person who is born while the sun is in Cancer) 3. Cancer -- (a small zodiacal constellation in the northern hemisphere; between Leo and Gemini) 4. Cancer, Cancer the Crab, Crab -- (the fourth sign of the zodiac; the sun is in this sign from about June 21 to July 22) 5. Cancer, genus Cancer -- (type genus of the family Cancridae) --- WordNet end ---