| Literature DB >> 24312308 |
Jianfeng Gong1, Lijing Zhu, Zhen Guo, Yi Li, Weiming Zhu, Ning Li, Jieshou Li.
Abstract
OBJECTIVE: Inflammatory bowel disease (IBD) is commonly treated with thiopurines such as azathioprine and mercaptopurine for the maintenance of remission. Studies examining chemopreventive of these medications on colorectal neoplasm in IBD patients have yielded conflicting results. We performed a meta-analysis to assess the role of thiopurines for this indication.Entities:
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Year: 2013 PMID: 24312308 PMCID: PMC3842949 DOI: 10.1371/journal.pone.0081487
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Search and study selection process.
Characteristics of included studies.
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| Baars (2011)[ | Thio | n.a. | n.a | 15.5 | UC/CD/IBD-U | 159/392 | CRC | 0.3(0.16-0.56) | 2,3,8,9,10,14 | 9(1-23) | NR | 5 |
| Lakatos (2006) [ | AZA | n.a. | n.a. | >1 | UC | 13/710 | CRC | 1.57(0.19-12.4) | Unadjusted | 10(5-16) | NR | 4 |
| Lashner (1997) [ | AZA /MP | n.a. | n.a. | 6.3 | UC | 27/68 |
| 1.12(0.26-4.77)* | 1,4,5,6,7 | >8 | CB | 5 |
| Nieminen (2013)[ | Thio | n.a. | n.a. | n.a. |
| 178/370 (all) & 31/159(CRC) |
| 0.31(0.19-0.51)(any) 0.085(0.02-0.33)(CRC) | 1,2, 3,4,5,8,9 | 12.2±10.2(case) vs.10.2±9.0(ctrl) | CB | 7 |
| Rubin (2013)[ | AZA/MP | 81.1mg | </≥2y | n.a. | UC | 59/141 |
| 0.28(0.12-0.65)(all) 0.19(0.05-0.70)(<2y) 0.27(0.09-0.78)(≥2y) | 1,3,4 | 18.8 | CB | 8 |
| Rutter (2004)[ | AZA | n.a | >1y | n.a. | UC | 36/72 (all) &14/28(CRC) |
| 0.35(0.11-1.11)(any) 0.22(0.03-1.87)(CRC) | 1,2,3,4,11 | >5 (5-55) | CB | 8 |
| Tang (2010)[ | AZA/MP | n.a. | n.a. | 10.7 |
| 18/30 | CRC | 0.38(0.04-3.72) | 1,2,3,4,9,13 | Unknown | NR | 8 |
| Tung (2001)[ | AZA | n.a. | n.a. | n.a. | UC | 26/33 | D | 0.68(0.147-2.6) | Unadjusted | Unknown | CB | 4 |
| Velayos (2006)[ | AZA /MP | 1.0-2.5mg/kg | >1y | n.a. | UC | 188/188 | CRC | 3.0(0.7-13.6) | 1,2,3,4,5,7,8,10,11,12,15,26,27 | 3-52 | CB | 8 |
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| Beaugerie (2013)[ | AZA /MP | n.a. | n.a. | 2.9(2.4-3.3) |
| 5867/10810 (all) & 2841(longstaning) |
| 0.62 (0.31-1.26)‡ # 0.28 (0.09-0.89)‡ (Longstanding) | 1,2,3,4,9 | 8.2±8.2& Longstanding(>10y) | NR | 8 |
| Connell (1994)[ | AZA | 2mg/kg | 2d-15y | 9(0.04-29) | UC | 86/180 | CRC | 1.13(0.46-2.77) | 1,2,3,4 | >10 | CB | 9 |
| Fraser (2002)[ | AZA | n.a. | 1-222m | 6.9±5.5 |
| 626/1578 |
| 0.86(0.43-1.73)(any) 0.76(0.33-1.79)(CRC) | Unadjusted | 6.6 | CB | 7 |
| Garcia (2013)[ | AZA/MP | AZA(50-250mg)MP(25-150mg) | AZA(1-300m)MP(1-118m) | 12.2±7.6 |
| 429/383 | CRC | 0.961(0.942-0.981) | Unadjusted | 9.75±7.65 | CB | 7 |
| Gupta (2007)[ | AZA /MP | n.a. | n.a. | 6.7(4.2-8.8) | UC | 117/301 |
| 1.0(0.6-1.6)(any)‡ 0.8 (0.3-2.7)‡ ( | Unadjusted | >7(11.1-22.9) | CB | 7 |
| Matula (2005)[ | MP/AZA | 121mg | >3m | 7.9±3.4 | UC | 96/219 |
| 1.06(0.59-1.93)‡(any) 1.3(0.45-3.75)‡ ( | Unadjusted | >7(18.2±8.9) | CB | 7 |
| Pasternak (2013)[ | AZA | n.a. | >6m | 7.9(3.5-12.0) |
| 5197/38772 | CRC | 1.36(0.75-2.49)¶† | 1,2,4,5,7,9,16,17,18,19,20,21,22,23 | Unknown | NR | 9 |
| Satchi (2013)[ | MP | 50-100mg | n.a | >10 |
| 27/27 | CRC | 1.23(0.35-4.28) | 1,2,3,4,5,9,12,15 | >20 (mean 24.1) | CB | 8 |
| Schaik (2012)[ | AZA /MP | ≥50mg | >6m | >0.5 | UC/CD/IBD-U | 770/1808 |
| 0.1(0.01-0.75)‡§ 0.12(0.02-0.87) ‡ (>1y) | 1,2,3,4,5,6,9,14,24,25 | 3.1 | NR | 8 |
| Setshedi (2011)[ | AZA /MP | n.a. | >6m | 9.9(3.3-18.4) | UC/CD/IBD-U | 123/836 | CRC | 0.27(0.016-4.53) | unadjusted | Unknown | CB | 7 |
Abbreviations: n.a., not available; UC, ulcerative colitis; CD, Crohn’s disease; IBD-U, Inflammatory bowel disease undetermined; AZA, azathioprine; MP, mercaptopurine; CRC: colorectal cancer; D, dysplasia; HGD, high-grade dysplasia; OR: odds ratio; HR: hazard ratio; RR: rate ratio; NR, non-referral population; CB, clinic-based population.
Covariates adjusted or matched:1: age; 2: sex; 3:extent or location of disease; 4: duration of disease; 5: 5-ASA; 6: folic acid use; 7: glucocorticosteroid use; 8: primary sclerosing cholangitis; 9: type of IBD; 10: pesudopolyps; 11: surveillance colonoscopy;12: smoking; 13: race; 14: colonic surgery before diagnosis of IBD 15: family history of CRC;16: calendar year (in 2-year intervals); 17: socioeconomic class; 18: degree of urbanization;19: comorbidities; 20, history of intestinal surgery; 21: history of intestinal, rectal, or anal fistula, abscess, or fissure 22: IBD hospitalizations in the last year; 23: other immunomodulators(Methotrexate, cyclosporine, cyclophosphamide); 24: history of dysplasia; 25; calcium use; 26:asprin; 27: NSAID
* RR (Relative risk) ‡HR hazard ratio ¶RR (Rate ratio) †The rate ratio of former thiopurine users vs. nonusers was not analyzed (RR=0.71, 95% CI 0.34-1.46). # Patients who have discontinued thiopurine were not analyzed (HR=1.23[0.65-2.35], p=0.53). §For patients receiving AZA/MP for over 1year, the HR is 0.12(0.02-0.87)
Figure 2Association between thiopurine use and colorectal neoplasm risk in nine case-control and ten cohort studies.
Random effects models were used as there were statistical heterogeneity across studies (I 2=68.0%, P <0.001). Usage of thiopurine is associated with decreased incidence of colorectal neoplasm in IBD patients (RR=0.71, 95% CI=0.54-0.94, P=0.017). RR: relative risk. CI: confidence interval.
Subgroup RR and 95% CI analysis of thiopurine usage and risk of colorectal neoplasm in patients with IBD (random-effect model).
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| Study population | ||||||
| Non-referral | 6 | 15.43 | 0.009 | 67.60% | 0.57(0.27-1.19) | 0.133 |
| Clinic-based | 13 | 35.17 | 0 | 65.90% | 0.76(0.56-1.04) | 0.082 |
| Type of relative risk estimation | ||||||
| OR/RR | 15 | 50.29 | 0 | 72.20% | 0.68(0.47-1.00) | 0.05 |
| HR | 4 | 5.8 | 0.122 | 48.30% | 0.83(0.52-1.31) | 0.417 |
| Sample size | ||||||
| Smaller (<100) | 4 | 1.04 | 0.791 | 0.00% | 0.89(0.43-1.86) | 0.762 |
| Larger (≥100) | 15 | 55.14 | 0 | 74.60% | 0.69(0.51-0.94) | 0.019 |
| Longstanding IBD(≥7yrs) | ||||||
| Yes | 6 | 4.98 | 0.418 | 0.00% | 0.98(0.74-1.29) | 0.863 |
| No | 13 | 54.16 | 0 | 77.80% | 0.58(0.37-0.91) | 0.017 |
| Thiopurine therapy>6m | ||||||
| Yes | 6 | 17.85 | 0.003 | 72.00% | 0.56(0.22-1.42) | 0.221 |
| no | 13 | 36.59 | 0 | 67.20% | 0.74(0.55-0.99) | 0.044 |
| IBD type | ||||||
| UC only | 9 | 13.94 | 0.083 | 42.60% | 0.85(0.56-1.27) | 0.413 |
| Mixed | 10 | 42.01 | 0 | 78.60% | 0.61(0.39-0.95) | 0.029 |
| 5-ASA usage adjusted/matched | ||||||
| Yes | 6 | 22.96 | 0 | 78.20% | 0.81(0.34-1.94) | 0.627 |
| No | 13 | 28.16 | 0.005 | 57.40% | 0.71(0.54-0.94) | 0.018 |
| Sex/age adjusted/matched | ||||||
| Yes | 9 | 25.2 | 0.001 | 68.20% | 0.69(0.39-1.29) | 0.209 |
| No | 10 | 23.03 | 0.006 | 60.90% | 0.74(0.54-1.02) | 0.066 |
| Disease duration/extent adjusted | ||||||
| Yes | 9 | 18.96 | 0.015 | 57.80% | 0.54(0.32-0.92) | 0.023 |
| No | 10 | 16.16 | 0.064 | 44.30% | 0.89(0.69-1.14) | 0.34 |
| Sex/age/duration/extent of disease adjusted/matched | ||||||
| Yes | 8 | 17.26 | 0.016 | 59.50% | 0.61(0.34-1.10) | 0.098 |
| No | 11 | 24.33 | 0.007 | 58.90% | 0.80(0.60-1.07) | 0.127 |
| Mean/median follow-up period | ||||||
| >5yr | 11 | 16.82 | 0.083 | 39.80% | 0.90(0.72-1.14) | 0.386 |
| unknown | 8 | 14.08 | 0.05 | 50.3 | 0.48(0.28-0.82) | 0.007 |
| Geographic distribution | ||||||
| Europe | 9 | 43.61 | 0 | 82.10% | 0.60(0.37-0.97) | 0.036 |
| USA | 8 | 11.64 | 0.113 | 39.80% | 0.87(0.57-1.33) | 0.529 |
Figure 3Funnel plots for overall studies.
The shapes of the funnel plots did not reveal any evidence of obvious asymmetry visually. se: standard error; RR: Relative risk.