Systematic Reviews
Copyright ©The Author(s) 2015.
World J Gastroenterol. Mar 28, 2015; 21(12): 3679-3693
Published online Mar 28, 2015. doi: 10.3748/wjg.v21.i12.3679
Table 1 Descriptive characteristics of studies on the association between cholecystectomy and oesophageal adenocarcinoma
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Freedman et al[20], 20001994-1997Case-control189820Self reportPathology records-RR = 1.03 (0.63-1.69)Age, gender, alcohol, smoking, BMI, physical activity, education, diet37
Nogueira et al[21], 20141992-2005Case-control132/54882572/1000000Medicare databaseCancer registry> 6OR = 0.95 (0.80-1.14)Age, gender, diabetes49
Freedman et al[23], 20011965-1997Cohort53/268312National registryCancer registry> 10SIR = 1.3 (1.0-1.8)Age, gender38
Goldacre et al[22], 20051963-1999Cohort91/39245803/334813NHS databaseCancer registryNARR = 0.98 (0.79-1.21)Age, gender, calendar year, residence36
Lagergren and Mattsson[24], 20111965-2008Cohort126345251NACancer registry15RR = 1.29 (1.07-1.53)Age, gender, calendar Year40
Table 2 Descriptive characteristics of studies on the association between cholecystectomy and oesophageal squamous cell cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Freedman et al[20], 20001994-1997Case-control167820Self-reportPathology recordsOR = 0.82 (0.43-1.54)Age, gender, alcohol, smoking, BMI, physical activity, education, diet37
Nogueira et al[21], 20141992-2005Case-control100/47322572/100000Medicare databaseCancer registry> 6OR = 0.85 (0.69-1.04)Age, gender, diabetes49
Ichimiya et al[26], 19861953-1984Cohort291238Self reportDeath registry< 310.59 (0.26-1.36Age, gender48
Freedman et al[23], 20011965-1997Cohort129/268312NANational registryCancer registry> 10SIR = 0.9 (0.7-1.1)Age, gender38
Lagergren and Mattsson[24], 20111965-2008Cohort193/345251NACancer registry15SIR 0.93 (0.81-1.08)Age, gender, calendar year40
Table 3 Descriptive characteristics of studies on the association between cholecystectomy and gastric cardia cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Freedman et al[20], 20001994-1997Case-control262820Self-reportPathology-RR = 0.67 (0.39-1.13)Age, gender, alcohol, smoking, BMI, physical activity, education, diet37
Nogueira et al[21], 20141992-2005Case-control122/55792572/100000Medicare databaseCancer registry> 6OR = 0.88 (0.73-1.06)Age, gender, diabetes49
Fall et al[28], 20071970-1997Cohort94/251672NANational registryCancer registry11.5RR = 0.95 (0.76-1.16)Age, gender, surgical procedure42
Table 4 Descriptive characteristics of studies on the association between cholecystectomy and gastric cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Sarli et al[27], 19861980-1984Case control157157Surgical and databasePathologyNA0.77 (0.09-6.40)Age, gender26
Ichimiya et al[26], 19861953-1984Cohort291238Self reportDeath registryNA0.92 (0.66-1.28)Age, gender33
Nogueira et al[21], 20141992-2005Case-control429/129252572/100000Medicare databaseCancer registry> 6OR = 1.26 (1.13-1.40)Age, gender, diabetes49
Goldacre et al[22], 20051963-1999Cohort177/392541354/334813NHS databaseCancer registryNA1.06 (0.88-1.26)Age, gender, calendar year, residence36
Fall et al[28], 20071970-1997Cohort854/251672NANational registryCancer registry11.51.11 (1.04-1.19)Age, gender, surgical procedure42
Chen et al[29], 20142000-2010Cohort31/5850National databaseCancer registry101.81 (1.09-3.02)Age, gender, comorbidities53
Table 5 Descriptive characteristics of studies on the association between cholecystectomy and pancreatic cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Wynder et al[37], 19731950-1964Case-control11/14216/307Hospital recordsNA> 21.57 (0.76-3.24)1Age, gender, race, hospital28
Haines et al[38], 19821973-1978Case-control8/11618/232Hospital recordsMedical records≥ 50.89 (0.40-1.98)1Age, gender, race, year of admission27
Mack et al[39], 19861976-1981Case-control38/49044/490Hospital recordsPathology records> 10.8 (0.5-1.4)Age, gender, race27
Cuzick and Babiker[40] 19891983-1986Case-control14/2167/279Hospital recordsMedical recordsNA2.43 (0.91-7.12Age, gender29
Farrow and Davis[41] 19901982-1986Case-control8/2186/188Hospital recordsCancer registry≥ 31.1 (0.3-3.4)Age29
Bueno de Mesquite et al[42], 19921984-1988Case-control24/17644/487Hospital recordsMedical records> 51.15 (0.55-2.40)Age, response status, smoking31
Lee et al[43], 19961989-1994Case-control12/2826/282Hospital recordsMedical recordsNA2.04 (0.76-6.21)Age, gender43
Gullo et al[45], 19961987-1992Case-Control93/72071/720Hospital recordsMedical records> 11.00 (0.70-1.43)Age, gender34
Silverman et al[30], 20011986-1989Case-Control132/484150/2099Hospital recordsPathology records> 21.77 (1.26-2.48)1Age, race, gender, smoking, alcohol consumption, BMI, Calorie intake.31
Ko et al[32], 20071995-1999Case-control75/532155/1701Hospital recordsSEER abstractsNA1.73 (1.29-2.33)1Ag, gender, BMI, smoking, diabetes36
Hassan et al[44], 20072000-2006Case-Control808808Hospital recordsSelf reported> 2OR = 1.1 (0.9-1.8)Age, gender, smoking, comorbidities35
Zhang et al[31], 20141994-1998Case-Control215676Self reportPathology reports> 22.11 (1.32-3.35)Age, gender, race, smoking, physical activity, diabetes51
Nogueira et al[21], 20141992-2005Case-control1106/332802572/100000Medicare databaseCancer registry> 6OR = 1.23 (1.15-1.33)Age, gender, diabetes49
Ichimiya et al[26], 19861953-1984Cohort3/1238NANational registryDeath registryNASMR = 0.86 (0.33-2.25)1Age, gender33
Shibata et al[46], 19941981-1990Cohort65/13979NAHospital recordsNA> 4RR = 2.09 (0.99-4.39)Age, gender, smoking32
Ekbom et al[33], 19961965-1987Cohort261/62615NANational registryCancer registry> 11.20 (1.06-1.36)Age, gender28
Chow et al[34], 19991977-1993Cohort184/42461NANational registryCancer registry≥ 41.3 (1.1-1.6)Age, gender, obesity, years of follow-up, other comorbidities33
Coughlin et al[35], 20001982-1996Cohort3751/1.2 MNAStudy databaseCancer registry14RR = 1.2 (1.0-1.5)Age, gender, smoking, race, education, BMI, diet.31
Ye et al[48], 20011965-1997Cohort730/268312NANational databaseCancer registry≥ 2SIR = 1.06 (0.98-1.14)Age, gender, calendar year35
Schernhammer et al[47], 20021976-1986Cohort37/145927256/1675355Self-reportSelf report and death registry> 101.23 (0.86-1.77)Age, gender, BMI, Physical activity, diabetes34
Goldacre et al[22], 20051963-1999Cohort127/39254791/334813NHS databaseCancer registry≥ 21.06 (0.88-1.26)Age, gender, calendar year, residence.36
Arnold et al[36], 20091984-2004Cohort6243/1060389NAHospital recordsDeath registryNAHR = 1.62 (1.02-2.55) blackHR = 1.10 (1.0-1.22) whiteAge, gender, BMI, smoking, FH of pancreatic cancer, diabetes.41
Chen et al[29], 20142000-2010Cohort16/5850National databaseCancer registry101.13 (0.60-2.12)Age, gender, comorbidities53
Table 6 Descriptive characteristics of studies on the association between cholecystectomy and extrahepatic bile duct cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Nogueira et al[21], 20141992-2005Case-control118/36812572/100000Medicare databaseCancer registry> 6OR = 1.19 (0.98-1.43)Age, gender, diabetes49
Chow et al[34], 19991977-1993Cohort16/42461NANational registryCancer registry≥ 40.7 (0.3-1.4)Age, gender, obesity, years of follow-up, other comorbidities33
Chen et al[29], 20142000-2010Cohort9/5850National databaseCancer registry102.22 (0.91-5.41)Age, gender, comorbidities53
Table 7 Descriptive characteristics of studies on the association between cholecystectomy and liver cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Nogueira et al[21], 20141992-2005Case-control332/102192572/100000Medicare databaseCancer registry> 6OR = 1.23 (1.15-1.33)Age, gender, diabetes49
Chow et al[34], 19991977-1993Cohort48/42461NANational registryCancer registry≥ 41.1 (0.7-1.5)Age, gender, obesity, years of follow-up, other comorbidities33
Goldacre et al[22], 20051963-1999Cohort38/39245306/334813NHS databaseCancer registryNA0.91 (0.64-1.25)Age, gender, calendar year, residence36
Chen et al[29], 20142000-2010Cohort87/5850163/5850National databaseCancer registry101.17 (0.90-1.52)Age, gender, comorbidities53
Table 8 Descriptive characteristics of studies on the association between cholecystectomy and small intestinal cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Nogueira et al[21], 20141992-2005Case-control148/36942572/100000Medicare databaseCancer registry> 6OR = 1.49 (1.26-1.77)Age, gender49
Lagergren et al[51], 20011965-1997Cohort68/2784601NANational registryNational registry101.77 (1.37-2.24)Age, gender, time aftercholecystectomy38
Lagergren et al[51], 20011965-1997Cohort98/2784602NANational registryNational registry101.71 (1.39-2.08)Age, gender, time aftercholecystectomy38
Goldacre et al[52], 20121998-2008CohortNA327460/3MHES databaseCancer registry102.47 (0.82-6.28)Age, gender, period since cholecystectomy45
Table 9 Descriptive characteristics of studies on the association between cholecystectomy and colorectal cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Nogueira et al[21], 20141992-2005Case-control3907/1500452572/100000Medicare databaseCancer registry> 6OR = 0.97 (0.92-1.02)Age, gender49
Schmidt et al[60], 20121992 -1994Case-Control10/2540/1043National databaseCancer registry24HR = 1.20 (0.85-1.70)Age, gender41
Todoroki et al[67], 19991991-1994Case-Control226/1982270/2129Medicare database and self reportCancer registry≥ 2OR = 1.1 (0.9-1.3)Age, gender, Family history, BMI, diet, NSAIDs48
Zeng et al[62], 19931965-1986Case-Control8/50318/2188Hospital recordsHospital records≥ 2.5OR = 1.95 (0.84-4.51)26
Neugut et al[66], 19911986-1988Case-Control11/10641/507Hospital RecordsSelf-report2OR = 0.96 (0.46-1.98)Age, gender34
Lee et al[54], 19891980-1987Case-Control40/16519/165Hospital RecordsHospital Records≥ 2RR = 2.11 (1.19-3.85)30
Kune et al[65], 19881980-1981Case-Control35/71557/727Hospital RecordsSelf-reporting and hospital recordsRR = 1.10 (0.7-1.1)36
Neugut et al[58], 19881983-1985Case-Control11/5610/84Hospital recordsSelf-reportingOR = 1.8 (0.6-5.4)Age, socioeconomic status38
Friedman et al[63], 19871971-1984Case-Control174/5898773/27687Medicare DatabaseCancer registry≥ 2OR = 1.1 (0.9-1.2)Age, gender, geographical area, calendar year47
1Weiss et al[53], 19821976-1977Case-Control92687Cancer RegistrySelf-reporting≥ 1RR = 1.4 (0.7-2.6)40
2Turnbull et al[61], 19811972-1976Case-Control20/3055Hospital recordsHospital records> 5RR = 2.733
Chen et al[29], 20142000-2010Cohort67/585076/5850National databaseCancer registry10HR = 1.56 (1.12-2.17)Age, gender, comorbidities53
2Hartz et al[55], 20121993-1998Cohort1207/150912NANational databaseSelf-report8HR = 1.36 (1.13-1.64)Age, smoking, obesity, Family history, comorbidities48
Shao et al[56], 20051987-2002Cohort297/55960574668National databaseNational databaseIRR = 1.32 (1.16-1.48Age, gender54
2Schernhammer et al[59], 20031982-1998Cohort133/666978515National database of nursesSelf-report and National death registry16RR = 1.21 (1.01-1.46)Age, smoking, BMI, lifestyle factors, comorbidities57
1Johansen et al[64], 19961977-1989Cohort225/42098NAHospital databaseCancer registry1-16RR = 1.09 (1.0-1.2)Age, gender, calendar year43
Linos et al[57], 19811950-1969Cohort42/1681Hospital databaseHospital records and self reporting2RR = 1.3 (0.9-1.9)3RR = 1.3 (0.7-2.2)34
Table 10 Descriptive characteristics of studies on the association between cholecystectomy and proximal colon cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Nogueira et al[21], 20141992-2005Case-control1963/667402,572/100000Medicare databaseCancer registry> 6OR = 1.06 (0.99-1.12)Age, gender49
Todoroki et al[67], 19991991-1994Case-control134/967270/2129Medicare database and self reportCancer registry≥ 2OR = 1.3 (1.0-1.6)Age, gender, family history, BMI, diet, NSAID use48
Zeng et al[62], 19931965-1986Case-control5/10818/2188Hospital recordsHospital records≥ 2.5OR = 5.85 (2.13-16.7)26
Friedman et al[63], 19871971-1984Case-control70/1925773/27687Medicare DatabaseCancer registry≥ 2OR = 1.2 (0.9-1.5)Age, gender, geographical area, calendar year47
Vernick et al[69], 19811975-1978Case-control21/15023/250National databaseSelf-report and hospital recordsRR = 1.77 (0.95-3.3)44
1Schernhammer et al[59], 20031982-1998Cohort46/666978515National database of nursesSelf-report and National death registry16RR = 1.35 (0.97-1.88)Age, smoking, BMI, lifestyle factors, comorbidities57
Lagergren et al[51], 20011965-1997Cohort861/278460NANational registryNational registry10SIR = 1.16 (1.08-1.24)Age, gender, time after cholecystectomy35
1Ekbom et al[68], 19931965-1983Cohort633/62615National registryNational registry< 23SIR = 1.24 (1.03-1.48)Age46
Table 11 Descriptive characteristics of studies on the association between cholecystectomy and distal colon cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Nogueira et al[21], 20141992-2005Case-control986/409962572/100000Medicare databaseCancer registry> 6OR = 0.93 (0.86-1.00)Age, gender49
Todoroki et al[67], 19991991-1994Case-Control87/965270/2129Medicare database and self reportCancer registry≥ 2OR = 0.8 (0.6-1.1)Age, gender, Family history, BMI, diet, NSAID use48
Zeng et al[62], 19931965-1986Case-Control2/13118/2188Hospital recordsHospital records≥ 2.5OR = 1.87 (0.43-8.14)26
Friedman et al[63], 19871971-1984Case-Control60/1963773/27687Medicare databaseCancer registry≥ 2OR = 1.2 (0.9-1.6)Age, gender, geographical area, calendar year47
Schernhammer et al[59], 20031982-1998Cohort28/666978515National database of nursesSelf-report and National death registry16RR = 0.95 (0.64-1.43)Age, smoking, BMI, lifestyle factors, comorbidities57
Lagergren et al[51], 20011965-1997Cohort2564/278460NANational registryNational registry10SIR = 0.98 (0.94-1.02)Age, gender, time after cholecystectomy35
Table 12 Descriptive characteristics of studies on the association between cholecystectomy and rectal cancer
Ref.Period of studyStudy designNo. of casesNo. of controlsExposure ascertainmentOutcome ascertainmentFollow-up (yr)Effect estimateAdjustmentsQuality of publication
Chiong et al[70], 20121950-2012Meta-Analysis14226/460262NAMixed sourcesMixed sourcesVariableOR = 1.14 (0.92-1.41)Age, gender54
Zeng et al[62], 19931965-1986Case-Control1/26418/2188Hospital recordsHospital records≥ 2.5OR = 0.46 (0.06-3.45)26
Kune et al[65], 19881980-1981Case-Control29/71557/727Hospital recordsSelf-reporting and hospital recordsRR = 1.22 (0.7-2.0)36
Friedman et al[63], 19871971-1984Case-Control43/1921773/27687Medicare databaseCancer registry≥ 2OR = 0.9 (0.6-1.2)Age, gender, geographical area, calendar year47
Weiss et al[53], 19821976-1977Case-Control49687Cancer registrySelf-reporting≥ 1RR = 1.0 (0.4-2.4)Age40
Shao et al[56], 20051987-2002Cohort83/55960574668National databaseNational databaseIRR = 1.00 (0.85-1.17)Age, gender54
1Schernhammer et al[59], 20031982-1998Cohort32/666978515National database of nursesSelf-report and National death registry16RR = 1.58 (1.05-2.36)Age, smoking, BMI, lifestyle factors, comorbidities57
2Johansen et al[64], 19961977-1989Cohort119/42098NAHospital registerCancer registry1-16RR = 1.07 (0.9-1.3)Age, gender, calendar year43
Linos et al[57], 19811950-1969Cohort17/168134/1681Hospital databaseHospital records and self reporting1RR = 0.5 (0.1-1.3)3RR = 2.3 (0.9-4.8)34