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Meta-Analysis
Copyright ©The Author(s) 2025.
World J Gastrointest Surg. Nov 27, 2025; 17(11): 109426
Published online Nov 27, 2025. doi: 10.4240/wjgs.v17.i11.109426
Table 1 Basic characteristics of patients who underwent conventional treatment and bariatric surgery, mean ± SD
Ref.
Age (years), OAGB
Age (years), SG
Females, OAGB
Females, SG
BMI (kg/m2), OAGB
BMI (kg/m2), SG
Outcomes
Comments
Musella et al[24]48.5 ± 8.749.2 ± 9.139.6%27.3%48.3 ± 9.248.1 ± 7.8DR & EWL%More females in OAGB
Abdel-Rahim et al[26]42.9 ± 6.1742.95 ± 7.6365%85%50.88±3.9947.77 ± 6.18DR & EWL% Higher BMI in OAGB
Ahmad et al[27]47.1 ± 10.844.6 ± 10.959.1%60.9%43.04 ± 7.8742.85 ± 5.02DRNo significant differences at the baseline
Abdelshafy et al[28]44.2 ± 4.9943.6 ± 3.7 64.5%64.5%44.2 ± 4.9943.6 ± 3.7DRNo significant differences at the baseline
Dayan et al[29]67.6 ± 2.867.6 ± 2.661.4%61.4%41.8 ± 7.843.3 ± 5.9DR & EWL%No significant differences at the baseline
Madhok et al[31]45.0 ± 2551 ± 3047.4%55.4%67.0 ± 6065.0 ± 60DR & EWL%OAGB were younger, more males
Milone et al[32]34.9 ± 6.0133.7 ± 5.6162.2%53.5%47.3 ± 3.8846.0 ± 4.77DR & EWL%More women in OAGB
Toksoy et al[33]43.9 ± 12.140.5 ± 10.865.3%59.3%43.1 ± 3.942.2 ± 4.5DROAGB were older
Alkhalifah et al[36]33.8 ± 10.4.135.2 ± 1070%74.9%40.4 ± 7.736.4 ± 7.6DR & EWL%Higher BMI in OAGB
Catro et al[37]42.4 ± 1143.5 ± 10.273.2%75.9%43.8 ± 9.245.2 ± 9.2DR & EWL%No significant differences at the baseline
Das et al[38]47.146.784.2%69.2%47.1 ± 9.7552.7 ± 7.17DR & EWL%Less body mass index in OAGB
Ding et al[39] 463015.4%80%34.743.8DROAGB were older, fewer females, and had lower BMI
Gambardella et al[40]40.1 ± 5.138.9 ± 4.645%44.5%47.1 ± 2.346.2 ± 3.6DR & EWL%No significant differences at the baseline
Jammu and Sharma[41]382371.2%45.4%42.535DROAGB were older, more females, and high BMI
Jain et al[42] 42.9±14.039.9±11.738.6%35%44.3±7.8844.5±7.16DR & EWL%OAGB were older
Kansou et al[43]41.2 ± 11.341.2 ± 12.393.4% 91.9%42.8 ± 5.043.4 ± 6.5DR & EWL%No significant differences at the baseline
Kular et al[44]NA NANANANANADR & EWL%NA
Moradi et al[45]47.3 ± 10.247.5 ± 10.977.3%80.1%44.6 ± 7.043.8 ± 6.9DRNo significant differences at the baseline
Plamper et al[46]42. ± 1144 ± 1176.2%61.8%54.1 ± 6.654.6 ± 10.3DR & EWL%OAGB younger, more females, less BMI
Ruiz-Tovar et al[47]43.8 ± 11.543.9 ± 10.975%75%45 ± 4.146.5 ± 3.4DR & EWL%No significant differences at the baseline
Schmitz et al[48]39.11 ± 0.941.57 ± 1.0774.5% vs 58.1%58.1%64.14 ± 0.366.91 ± 0.6DR & EWL%More females, lower BMI in OAGB
Seetharamaiah et al[49]42.89 ± 14.0239.89 ± 11.7562%65%44.32 ± 7.8844.57 ± 7.16DR & EWL%No significant differences at the baseline
Shen et al[50]42.942.9NANA39.0 ± 7.239.0 ± 7.2DRNA
Shivakumar et al[51]42.9 ± 14.0239.9 ± 11.7561.3%65%44.3 ± 7.8844.6 ± 7.16DR & EWL%OAGB were older
Singla et al[52]MatchedMatchedMatchedMatched> 50> 50DR & EWL%No significant differences at the baseline
Tabesh et al[53]41.54 ± 11.2041.42 ± 11.7776%84.4%46 ± 6.15455.7124 years, 17.2% vs 12.9% diabetesHigher BMI in OAGB
Toh et al[54]47 ± 940 ± 1169.8%61.8%40.3 ± 9.143±7.9DR & EWL%OAGB were older with lower BMI
Vrakopoulou et al[55]46.6 ± 7.845.9 ± 7.560%57.1%52.7 ± 10.852.2 ± 8.6DR & EWL% No significant differences at the baseline
Wazir et al[56]48.21 ± 9.7748.21 ± 9.7770.2% females70.2% females49.80 ± 6.22549.80 ± 6.225DRNot assessed
Sari et al[57]20-59 20-5979.6% females79.6% females≥ 35≥ 35DR & EWL%Not assessed
Yang et al[58]NANANANA32.1 ± 10.333.9 ± 9.4DR & EWL%No significant differences at the baseline
Table 2 Diabetes mellitus complete remission
Ref.
Country
Study type
OAGB, 1 year
SG, 1 year
OAGB, 3 years
SG, 3 years
OAGB, 5 years
SG, 5 years
Musella et al[24]ItalyRetrospective82/9667/110
Abdel-Rahim et al[26]EgyptProspective11/2011/20
Ahmad et al[27]SyriaProspective110/137 57/92
Abdelshafy et al[28]EgyptTrial18/2214/22
Dayan et al[29]IsraelRetrospective36/4125/83
Lee et al[30] TaiwanTrial18/309/30
Madhok et al[31]United KingdomRetrospective4/69/17
Milone et al[32]ItalyProspective14/1610/15
Toksoy et al[33]TurkeyRetrospective94/10832/39
Alkhalifah et al[36]TaiwanProspective496/533 186/205488/533205/205
Catro et al[37]SpainRetrospective114/12368/83110/12363/83
Das et al[38]United KingdomRetrospective3/43/5
Ding et al[39] ChinaRetrospective7/101/3
Gambardella et al[40]ItalyProspective48/6079/13153/57105/128
Jammu and Sharma[41]IndiaRetrospective59/47313/339
Jain et al[42] IndiaTrial49/4947/4740/5537/52
Kansou et al[43]FranceRetrospective25/2719/21
Kular et al[44]IndiaRetrospective58/6349/61
Moradi et al[45]IranRetrospective509/675142/201336/67594/201
Plamper et al[46]GermanyRetrospective302/3 1983/98NANANANA
Ruiz-Tovar et al[47]SpainTrial66/7053/6161/7050/61
Schmitz et al[48]GermanyRetrospective34/5142/45
Seetharamaiah et al[49]IndiaTrial41/4936/47
Shen et al[50]TaiwanRetrospective64/8191/130
Shivakumar et al[51]IndiaTrial41/49 36/4746/4944/47
Singla et al[52]IndiaRetrospective58/7564/75
Tabesh et al[53]IranRetrospective2/351/151
Toh et al[54]SingaporeRetrospective23/3260/73
Vrakopoulou et al[55]GreeceRetrospective22/2510/28
Wazir et al[56]United KingdomRetrospective1/210/18
Sari et al[57]TurkeyRetrospective27/2829/31
Table 3 Excess weight loss following one-anastomosis gastric bypass and sleeve gastrectomy at 1-year post-surgery, mean ± SD/n
Ref.
Country
Study type
OAGB, 1 year
SG, 1 year
OAGB, 3 years
SG, 3 years
OAGB, 5 years
SG, 5 years
Musella et al[24]ItalyRetrospective64.7 ± 22.9/9652.4 ± 18.3/11022.8 ± 5.9/9620.1 ± 5.3/110
Abdel-Rahim et al[26]EgyptProspective95.11 ± 7.00/2078.48 ± 19.07/20
Dayan et al[29]IsraelRetrospective67.2 ± 22.3/4145.8 ± 18.0/83
Lee et al[30]TaiwanTrial78.2 ± 19.7/51968.7 ± 30.3/519
Madhok et al[31]United KingdomRetrospective58.0 ± 7.75/1945 ± 21.5/56NANANANA
Milone et al[32]ItalyProspective24.19 ± 4.42/1624.33 ± 4.48/15
Alkhalifah et al[36]TaiwanProspective84.5 ± 35.2/53364.8 ± 34.3/205
Catro et al[37]SpainRetrospective72.5 ± 16.4/12368.8 ± 18.6/83
Das et al[38]United KingdomRetrospective50.2 ± 28.6/1949.9 ± 19.5/26
Gambardella et al[40]ItalyProspective83.6 ± 18.1/6074.3 ± 13.8/131
Jain et al[42] IndiaTrial65.9 ± 10.9/10164.8 ± 14.3/10067.5 ± 16.6/10161 ± 26.4/10065.3 ± 13.9/10155.9 ± 27/100
Kansou et al[43]FranceRetrospective79.3 ± 17.8/13671.4 ± 19 /136
Kular et al[44]IndiaRetrospective63 ± 21.2/10469 ± 22.5/11870 ± 22.6/10461 ± 26.4/11868 ± 24/10451.2 ± 23/118
Plamper et al[46]GermanyRetrospective66.2 ± 13/16957.3 ± 19/118NANANANA
Ruiz-Tovar et al[47]SpainTrial97.9 ± 7/7076.3 ± 6/61
Schmitz et al[48]GermanyRetrospective36 ± 0.8/15029 ± 1.2/9342.5 ± 1.932.4 ± 2.7
Seetharamaiah et al[49]IndiaTrial66.87 ± 10.87/10163.97 ± 13.24/100
Shivakumar et al[51]IndiaTrial66.2 ± 10.9/10163.9 ± 13.5/10066.5 ± 15.7/9361.2 ± 25.2/92
Singla et al[52]IndiaRetrospective74.57 ± 13.2/7556.20 ± 18.9/75
Toh et al[54]SingaporeRetrospective 68 ± 28.5/4061.2 ± 20/19566.2 ± 35.6/3147.9 ± 22.8/5365.2 ± 27.5/847.3 ± 27.5/15
Vrakopoulou et al[55]GreeceRetrospective98.2 ± 29.0/11579.7 ± 14.5/437
Sari et al[57]TurkeyRetrospective77.66 ± 30.55/6271.11 ± 27.81/129
Yang et al[58]TaiwanProspective72 ± 20/8967.2 ± 18.4/32
Table 4 Newcastle Ottawa Scale risk of bias of the included studies
Ref.
Selection
Compatibility
Exposure
Total score
Musella et al[24]4228
Abdel-Rahim et al[26]3227
Ahmad et al[27]3238
Dayan et al[29]4229
Madhok et al[31]3127
Milone et al[32]4228
Toksoy et al[33]4239
Alkhalifah et al[36]3227
Catro et al[37]4239
Das et al[38]4228
Ding et al[39] 3227
Gambardella et al[40]3238
Jammu and Sharma[41]3227
Kansou et al[43]4228
Kular et al[44]4228
Moradi et al[45]4238
Plamper et al[46]3227
Schmitz et al[48]4228
Shen et al[50]4227
Singla et al[52]3227
Tabesh et al[53]3238
Toh et al[54]4228
Vrakopoulou et al[55]N/AN/AN/AN/A
Wasir et al[56]4127
Sari et al[57]3227
Yang et al[58]3216
Table 5 Risk of bias assessment of the included studies according to the Cochrane risk of bias tool for randomized controlled trials
Ref.
Selection bias1
Selection bias2
Performance bias
Attrition bias
Detection bias
Reporting bias
Overall bias
Abdelshafy et al[28]Some concernLowSome concernLowLowSome concernSome concerns
Lee et al[30]Some concernSome concernLowLowLowHighLow
Jian et al[42]LowLowHighLowSome concernSome concernSome concerns
Ruiz-Tovar et al[47]LowLowSome concernsSome concernsSome concernsLowSome concerns
Seetharamaiah et al[49]LowSome concernsSome concernsSome concernsSome concernsLowSome concerns
Shivakumar et al[51]LowLowSome concernsSome concernsLowLowLow
Table 6 Effects of different studies on heterogeneity (all patients with diabetes remission)
Ref.
Effect
Musella et al[24]1% increase
Abdel-Rahim et al[26]1% increase
Ahmad et al[27]1% increase
Abdelshafy et al[28]1% increase
Dayan et al[29]9% decrease
Lee et al[30]1% increase
Madhok et al[31]1% increase
Milone et al[32]1% increase
Toksoy et al[33]1% increase
Alkhalifah et al[36]1% increase
Catro et al[37]1% increase
Das et al[38]1% increase
Ding et al[39] 1% increase
Gambardella et al[40]1% increase
Jammu and Sharma[41]1% decrease
Jian et al[42]No effect
Kansou et al[43]1% increase
Kular et al[44]1% increase
Moradi et al[45]2% decrease
Plamper et al[46]No effect
Ruiz-Tovar et al[47]1% increase
Schmitz et al[48]7% decrease
Seetharamaiah et al[49]1% increase
Shen et al[50]1% increase
Shivakumar et al[51]1% increase
Singla et al[52]3% decrease
Tabesh et al[53]No effect
Toh et al[54]2% decrease
Vrakopoulou et al[55]2% decrease
Wazir et al[56]1% increase
Sari et al[57]1% increase
Table 7 Effects of different studies on heterogeneity (all patients with excess weight loss)
Ref.
Change
Musella et al[24]1% increase
Abdel-Rahim et al[26]1% increase
Dayan et al[29]No change
Lee et al[30]1% increase
Madhok et al[31]4% decrease
Milone et al[32]No change
Alkhalifah et al[36]No change
Catro et al[37]1% increase
Das et al[38]1% increase
Gambardella et al[40]1% increase
Jian et al[42]No change
Kansou et al[43]1% increase
Kular et al[44]No change
Plamper et al[46]1% increase
Schmitz et al[48]1% increase
Seetharamaiah et al[49]1% increase
Shivakumar et al[51]1% increase
Singla et al[52]No effect
Toh et al[54]1% increase
Vrakopoulou et al[55]No effect
Sari et al[57]No effect
Yang et al[58]1% increase