| Literature DB >> 19156150 |
C C Abnet1, N D Freedman, F Kamangar, M F Leitzmann, A R Hollenbeck, A Schatzkin.
Abstract
Use of aspirin or other non-steroidal anti-inflammatory drugs (NSAIDs) may reduce the risk of gastric or oesophageal adenocarcinomas. We examined the association between self-reported use of aspirin or non-aspirin NSAIDs in the earlier 12 months and gastric non-cardia (N=182), gastric cardia (N=178), and oesophageal adenocarcinomas (N=228) in a prospective cohort (N=311 115) followed for 7 years. Hazard ratios (HRs) and 95% confidence intervals (CIs) come from Cox models adjusted for potential confounders. Use of any aspirin (HR, 95% CI: 0.64, 0.47-0.86) or other NSAIDs (0.68, 0.51-0.92) was associated with a significantly lower risk of gastric non-cardia adenocarcinoma. Neither aspirin (0.86, 0.61-1.20) nor other NSAIDs (0.91, 0.67-1.22) had a significant association with gastric cardia cancer. We found no significant association between using aspirin (1.00, 0.73-1.37) or other NSAIDs (0.90, 69-1.17) and oesophageal adenocarcinoma. We also performed a meta-analysis of the association between the use of NSAIDs and risk of gastric and oesophageal adenocarcinoma. In this analysis, aspirin use was inversely associated with both gastric and oesophageal adenocarcinomas, with summary odds ratios (95% CI) for non-cardia, cardia, and oesophageal adenocarcinomas of 0.64 (0.52-0.80), 0.82 (0.65-1.04), and 0.64 (0.52-0.79), respectively. The corresponding numbers for other NSAIDs were 0.68 (0.57-0.81), 0.80 (0.67-0.95), and 0.65 (0.50-0.85), respectively.Entities:
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Year: 2009 PMID: 19156150 PMCID: PMC2658549 DOI: 10.1038/sj.bjc.6604880
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Distribution of covariates in NSAID users and non-users in NIH-AARP Diet and Health Study
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| Number | 311 115 (100%) | 227 198 (73%) | 175 591 (56%) |
| Age, years, mean (s.d.) | 62.3 (5.3) | 62.3 (5.3) | 61.7 (5.4) |
| Sex, male, | 180 337 (58%) | 141 387 (62%) | 97 001 (55%) |
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| Never | 111 128 (37%) | 79 079 (36%) | 61 947 (36%) |
| Former<20 cigarettes per day, | 84 125 (28%) | 61 840 (28%) | 48 356 (28%) |
| Former⩾20 cigarettes per day, | 66 306 (22%) | 50 395 (23%) | 37 966 (22%) |
| Current<20 cigarettes per day, | 25 506 (8%) | 18 088 (8%) | 14 150 (8%) |
| Current⩾20 cigarettes per day, | 13 924 (5%) | 10 323 (5%) | 7505 (4%) |
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| High school or less, | 72 276 (24%) | 49 679 (22%) | 38 088 (22%) |
| Post-high school training, | 103 305 (34%) | 75 067 (34%) | 58 775 (34%) |
| College graduate, | 61 520 (20%) | 46 410 (21%) | 35 516 (21%) |
| Post-graduate education, | 66 493 (22%) | 50 702 (23%) | 39 087 (23%) |
| Alcohol, drinks per day, mean (s.d.) | 0.9 (2.3) | 1.0 (2.3) | 0.9 (2.1) |
| Fruit intake, servings per day, mean (s.d.) | 3.0 (2.4) | 2.9 (2.3) | 2.9 (2.3) |
| Vegetable intake, servings per day, mean (s.d.) | 3.9 (2.4) | 3.9 (2.4) | 3.9 (2.4) |
| Body mass index, kg m−2, mean (s.d.) | 26.9 (5.0) | 26.9 (4.8) | 27.2 (5.1) |
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| Never, | 12 309 (4%) | 7619 (3%) | 6154 (4%) |
| Rarely, | 40 323 (13%) | 27 952 (12%) | 22 580 (13%) |
| 1–3 times per month, | 41 327 (13%) | 30 307 (13%) | 24 164 (14%) |
| 1–2 times per week, | 66 624 (22%) | 49 501 (22%) | 38 486 (22%) |
| 3–4 times per week, | 85 859 (28%) | 64 141 (28%) | 49 257 (28%) |
| ⩾5 times per week, | 62 226 (20%) | 46 028 (20%) | 33 710 (20%) |
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| Sit during day, not much walking, | 23 614 (8%) | 17 063 (8%) | 13 887 (8%) |
| Sit much of the day, walk a fair amount, | 74 037 (33%) | 74 037 (33%) | 58 204 (34%) |
| Stand/walk a lot, no lifting, | 118 404 (39%) | 86 292 (39%) | 65 899 (38%) |
| Lift carry light loads, | 54 906 (18%) | 40 220 (18%) | 30 199 (18%) |
| Heavy work, | 7874 (3%) | 5670 (3%) | 4331 (3%) |
Abbreviation: NSAID=non-steroidal anti-inflammatory drug.
Hazard ratios (95% CI)a for the association between NSAID use and the risk of cancer in the NIH-AARP Diet and Health Study
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| 83 917 (27%) | 227 198 (73%) | 83 917 (27%) | 96 863 (31%) | 52 096 (17%) | 78 239 (25%) | ||
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| Oesophageal adenocarcinoma, | 52 (23%) | 176 (77%) | 1.00 (0.73–1.37) | 1.0 | 0.95 (0.65–1.37) | 0.91 (0.59–1.40) | 1.11 (0.78–1.57) | 0.52 |
| Gastric cardia adenocarcinoma, | 48 (27%) | 130 (73%) | 0.86 (0.61–1.20) | 1.0 | 0.80 (0.53–1.20) | 0.71 (0.43–1.18) | 0.99 (0.67–1.45) | 0.96 |
| Gastric non-cardia adenocarcinoma, | 67 (37%) | 115 (63%) | 0.64 (0.47–0.86) | 1.0 | 0.74 (0.51–1.07) | 0.57 (0.35–0.92) | 0.57 (0.39–0.85) | 0.0032 |
Abbreviations: BMI=body mass index; CI=confidence interval; HR=hazard ratio; NSAID=non-steroidal anti-inflammatory drug.
HRs and 95% CIs come from models adjusted for age at cohort entry, sex, cigarette smoking status, alcohol, education, fruit intake, vegetable intake, BMI, total energy intake, and both vigorous physical activity and usual physical activity throughout the day. Estimates for any aspirin and any non-aspirin NSAID are from a single model (i.e., mutually adjusted) and those for frequency of use were adjusted for any use of the other class of NSAID.
Trend tests used the category of intake as an ordinal variable (0–3).
Figure 1Forest plots for the association between any aspirin (A) or non-aspirin NSAID (B) use and risk of oesophageal, gastric cardia, or gastric non-cardia cancer. Summary estimates and study weights (proportional to symbol size) come from random effects models. Studies are listed by the last name of the first author and Abnet refers to this study. We used the broadest measure of NSAID exposure and multivariable-adjusted estimates whenever possible. To make the exposure measures more comparable, we generated new combined estimates of effect when the published estimates were stratified on dose or duration, and this is indicated by an asterisk after the first author's name. Gastric NOS means that the location of the tumours within the stomach was not specified. The summary estimate for all studies included in this figure was 0.72 (0.67–0.79).
Figure 2Begg funnel plot with pseudo 95% confidence intervals for all estimates included in the meta-analysis of NSAID use and oesophageal or stomach adenocarcinoma. Both the Begg test (P=0.010) and the Egger test (P=0.001) suggested publication bias, but, dropping the studies with a standard error greater than 0.2 (N=20) or a log OR less than −0.50 (N=14) left the association essentially unchanged. Therefore, publication bias probably had little effect on the summary estimates.