| Literature DB >> 26167910 |
Attit Baskota1, Sheyu Li1, Niharika Dhakal2, Guanjian Liu3, Haoming Tian1.
Abstract
BACKGROUND ANDEntities:
Mesh:
Year: 2015 PMID: 26167910 PMCID: PMC4500506 DOI: 10.1371/journal.pone.0132335
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart of article selection.
Baseline characteristics of the included studies.
| Included study | Study design | Sample size (M/F) | Type of surgery | Country | Mean age(yrs) | Follow-up period(months) | Duration of diabetes (yrs) | Studied outcomes |
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| Ramos et al [ | Prospective | 20 (11/9) | DJB | Brazil | 43yrs | 6 | 5.3, range: (2–8) | BMI, FBG, HbA1c, C-peptide |
| Depaula et al [ | Prospective | 69 (47/22) | LII+DSG | Brazil | 51±5.6 | 21.7 | 11±4 | FBG, HbA1c, BMI, lipids, C-peptide, HOMA-IR, co-morbidities |
| Geloneze et al [ | Prospective | 12 (9/3) | DJB | Brazil | 50±5.3 | 6 | 9±2 | FBG, HbA1c, C-peptide, BMI, C-peptide |
| Lee et al [ | Prospective | 6 (6/0) | DJB | Korea | 50.2 | 6 | 5.5, range: (2–10) | FBG, HbA1c, body weight |
| Kim et al [ | Prospective | 10 (2/8) | LMGB | Korea | 49.6 | 6 | 6.6 | BMI. HbA1c, FBG, PP |
| Scopinaro et al [ | Prospective | 15 (13/2) | BPD | Italy | 57.8±6.7 | 24 | 11.1±6.1 | Body weight, BMI, HbA1c, HOMA-IR, lipids, FBG |
| Navarrete et al [ | Prospective | 10 (5/5) | LSG+DJB | Venezuela | 46.5 | 12 | <10 | HbA1c, body weight, FBG, BMI |
| M.García et al [ | Prospective | 13 (10/3) | BAGUA | Spain | 63.84±8.25 | 6 | 16.9±8.75 | FBG, PP, HbA1c, C-peptide, BMI, co-morbidities. |
| J.B.Dixon et al [ | Prospective | 103 (41/62) | LMGB+RYGB | Korea+Taiwan | 47.5±9.6 | 12 | 8.2±5.0 | BMI, HbA1c |
| C.Shrestha et al [ | Prospective | 33 (24/9) | RYGB | China | 49.51±1.33 | 3 | <10 | BMI, HbA1c, FBG, PP |
BAGUA = one anastomosis gastric bypass;BMI = body mass index; BPD = biliopancreatic diversion; FBG: fasting blood glucose; DJB = duodenojejunalbypass; HOMA-IR: homeostatic model of insulin resistance; M/F = male/female; LII-DSG = laparoscopic sleeve gastrectomy; LMGB = laparoscopic mini gastric bypass;PP = postprandial blood glucose; RYGB = roux-en-Y gastric bypass; TC = total cholesterol; TG = triglyceride
Fig 2Forest plots of the effects of metabolic surgery on:(A) body mass index (BMI) and (B) body weight.
CI = confidence interval; IV = inverse variance; SD = standard deviation.
Fig 3Forest plotsof the effects of metabolic surgery on: (A) HbA1c; (B) fasting blood glucose; and (C) postpradial blood glucose.
CI = confidence interval; IV = inverse variance; SD = standard deviation.
Fig 4Forest plotsof the effects of metabolic surgery on: (A) total cholesterol and (B) triglyceride.
CI = confidence interval; IV = inverse variance; SD = standard deviation.
Fig 5Forest plotsof the effects of metabolic surgery on: (A) C-peptide and (B) HOMA-IR.
CI = confidence interval;HOMA-IR = homeostasis model assessment of insulin resistance; IV = inverse variance; SD = standard deviation.
Stratified analyses of the investigated outcomes.
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| >7 months | 4 | 3.68 [3.20–4.15] | p = 0.86 | 0% | p<0.0001 | |
| <7 months | 5 | 2.08 [1.79, 2.37] | p = 0.06 | 56% | p<0.0001 | |
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| DJB | 3 | 2.20 [1.29, 3.11] | p = 0.43 | 0% | p<0.0001 | |
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| >8 years | 6 | 3.41 [2.51,4.31] | p = 0.0001 | 83% | p<0.00001 | |
| <8 years | 4 | 2.00 [1.32, 2.68] | p = 0.93 | 0% | p<0.0001 | |
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| Asia | 4 | 2.55 [1.58, 3.51] | p = 0.0009 | 82% | p<0.0001 | |
| South America | 4 | 3.08 [2.46, 3.70] | p = 0.04 | 65% | p<0.0001 | |
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| >7 months | 4 | 2.46 [2.15, 2.76] | p = 0.39 | 0% | p<0.00001 | |
| <7 months | 5 | 1.28 [1.18, 1.39] | p = 0.0005 | 86% | p<0.0001 | |
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| DJB | 3 | 1.71 [1.38, 2.04] | p = 0.00001 | 87% | P = 0.16 | |
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| >8years | 4 | 2.18 [1.38, 2.98] | p = 0.00001 | 93% | p<0.00001 | |
| <8years | 4 | 1.78 [1.46, 2.11] | p = 0.001 | 84% | p = 0.01 | |
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| Asia | 3 | 1.55 [0.60, 2.50] | p = 0.00001 | 91% | 0 = 0.001 | |
| South America | 4 | 2.14 [1.86, 2.42] | p = 0.006 | 79% | p<0.0001 | |
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| >7 months | 3 | 4.91 [2.32, 7.51] | p<0.00001 | 80% | p<0.0002 | |
| <7 months | 4 | 2.80[1.16, 4.45] | p = 0.007 | 92% | p<0.0008 | |
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| DJB | 2 | 2.96 [0.37, 5.56] | p<0.00001 | 86% | p = 0.03 | |
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| >8 years | 4 | 4.02[0.97, 7.07] | p = 0.00001 | 97% | p = 0.010 | |
| <8 years | 3 | 3.27 [1.31, 5.22] | p = 0.03 | 72% | p = 0.001 | |
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| Asia | 2 | 2.45 [0.37, 4.53] | p = 0.02 | 49% | p = 0.02 | |
| South America | 4 | 4.46 [2.53, 6.39] | p = 0.00001 | 89% | p<0.0001 | |
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| >3 months | 2 | 5.30 [1.12, 9.47] | p = 0.01 | 0% | p<0.0001 | |
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| DJB | 2 | -0.11 [-0.38, 0.16] | p = 0.48 | 0% | p = 0.42 | |
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| <8 years | 2 | -0.11[-0.38, 0.16] | p = 0.48 | 0% | p = 0.42 | |
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| >7 months | 2 | 54.89[46.09,63.68] | p = 0.46 | 0% | p<0.00001 | |
| <7 months | 2 | 4.00 [2.45, 5.54] | p = 0.42 | 0% | p<0.00001 | |
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| >7 months | 2 | 15.66[12.68,18.64] | p = 0.98 | 0% | p<0.00001 | |
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| South America | 2 | 89.43[19.92,198.79] | p = 0.10 | 64% | p = 0.11 | |
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| >3 months | 2 | 4.46 [3.64, 5.28] | p = 0.61 | 0% | p<0.00001 |
BMI = body mass index; CI = confidence interval; FBG = fasting blood glucose; DJB = duodenojejunal bypass; HOMA-IR = homeostatic model of insulin resistance; PP = postprandial blood glucose