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©The Author(s) 2017.
World J Transplant. Apr 24, 2017; 7(2): 152-160
Published online Apr 24, 2017. doi: 10.5500/wjt.v7.i2.152
Published online Apr 24, 2017. doi: 10.5500/wjt.v7.i2.152
Table 1 Study design
Patients | Patients underwent kidney transplantation |
Literature search | Keyword search in PubMed, Google scholar and Scopus |
Databases | Pubmed, Ovid, MEDLINE, EMBASE, the Cochrane Controlled Trials Register, HealthSTAR, CINAHL, Google, and Google Scholar |
Limits | Only comprehensive articles without time limit Humans In English |
Keywords | Kidney transplantation Renal transplant Related Unrelated |
Eligibility criteria | Article in Full-text (no abstracts) Unique publication (no duplicate articles) Reported each of the interested outcomes (graft survival rate, and acute rejection rate) Original report as determined from reading the abstract or if necessary the full text Outcome reported in a usable form (each surgical approach was reported as a separate cohort, no additional confounding treatments, no missing or unreliable data; could not have > 10% difference in values between text and tables Reported on surgical approaches of interest |
Exclusion criteria | Duplicate patient population, where some or all of the same patients were included in a different study reporting on the same parameters (prevents double counting) Early case experience (prevents bias toward approaches with more experienced surgeons) |
Data abstraction | Articles needed to report which contain each of outcome of interest to be included in the analysis Data were abstracted by two individuals into a custom database table including list of variables. 50% of articles were abstracted by one reviewer and other 50% with other one. The data for 50% of the articles was double-entered by a second individual, and any discrepancies were resolved through repeated review and discussion prior to data analysis All primary outcomes were then double-checked and any discrepancies resolved Variables in four types were abstracted from each study: Those necessary to determine inclusion and exclusion criteria, surgical approach, baseline patient characteristics, and clinical outcomes All studies were reviewed by two independent reviewers using the total QASs (Table 3) to assess the methodological quality of the studies that were included. Although the QASs were reported for each study, they were not used to weight the studies in the meta-analysis |
Primary outcomes | Graft survival rate |
Secondary outcomes | Acute rejection rate |
Controls for Publication bias | Performed a funnel plot analysis |
Table 2 Quality assessment items and possible scores
Was the assigned treatment adequately concealed prior to allocation? |
2 = method did not allow disclosure of assignment |
1 = small but possible chance of disclosure of assignment or unclear |
0 = quasi-randomized or open list/tables |
Were the outcomes of participants who withdrew described and included in the analysis (intention-to-treat)? |
2 = withdrawals well described and accounted for in analysis |
1 = withdrawals described and analysis not possible |
0 = no mention, inadequate mention, or obvious differences and no adjustment |
Were the outcome assessors blinded to treatment status? |
2 = effective action taken to blind assessors |
1 = small or moderate chance of unblinding of assessors |
0 = not mentioned or not possible |
Were the treatment and control groups comparable at entry? (likely confounders may be age, partial or total rupture, activity level, acute or chronic injury) |
2 = good comparability of groups, or confounding adjusted for in analysis |
1 = confounding small; mentioned but not adjusted for |
0 = large potential for confounding, or not discussed |
Were the participants blind to assignment status after allocation? |
2 = effective action taken to blind participants |
1 = small or moderate chance of unblinding of participants |
0 = not possible, or not mentioned (unless double-blind), or possible but not done |
Were the treatment providers blind to assignment status? |
2 = effective action taken to blind treatment providers |
1 = small or moderate chance of unblinding of treatment providers |
0 = not possible, or not mentioned (unless double-blind), or possible but not done |
Were care programes, other than the trial options, identical? |
2 = care programes clearly identical |
1 = clear but trivial differences |
0 = not mentioned or clear and important differences in care programes |
Were the inclusion and exclusion criteria clearly defined? |
2 = clearly defined |
1 = inadequately defined |
0 = not defined |
Were the interventions clearly defined? |
2 = clearly defined interventions are applied with a standardized protocol |
1 = clearly defined interventions are applied but the application protocol is not standardized |
0 = intervention and/or application protocol are poorly or not defined |
Were the outcome measures used clearly defined? (by outcome) |
2 = clearly defined |
1 = inadequately defined |
0 = not defined |
Were diagnostic tests used in outcome assessment clinically useful? (by outcome) |
2 = optimal |
1 = adequate |
0 = not defined, not adequate |
Was the surveillance active, and of clinically appropriate duration? |
2 = active surveillance and appropriate duration |
1 = active surveillance, but inadequate duration |
0 = surveillance not active or not defined |
Table 3 The characteristics of included study which reported related vs unrelated living kidney transplantation outcomes
Ref. | Number | Mean follow up (mo) | Recipient mean age (yr) | Recipient sex M/F | Immunosuppression regimen | One year graft survival rate | five years graft survival rate | 10 yr graft survival rate | Acute rejection rate | Mean serum Cr at 1 yr | Mean serum Cr at final follow up | Post-transplant infectious complications |
Cortesini et al[9], 2002 | 302 vs 172 | 42 | 32.8 ± 7.3 vs 44 ± 9.9 | 215/87 vs 133/39 | Cyclosporine | 275 (91) vs 150 (87) | 232 (77) vs 136 (79) | 199 (66) vs 118 (69) | N/D | 1.9 ± 0.8 vs 2.0 ± 0.8 | 2.0 ± 0.8 vs 1.9 ± 0.8 | N/D |
Simforoosh et al[5], 2016 | 411 vs 3305 | N/D | 27.6 ± 10.1 vs 35.6 ± 15.6 | 270/138 vs 2164/1136 | Cyclosporine | 89% vs 90% | 288 (70.2) vs 2697 (81.6) | 225 (54.9) vs 2350 (71.1) | N/D | N/D | N/D | N/D |
Voiculescu et al[10], 2003 | 38 vs 24 | 19.6 ± 15.4 | 37.7 ± 12.1 vs 53.6 ± 7.8 | 26/12 vs 14/10 | Steroids, cyclosporine, mycophenolate mofetil | 36 (94.8) vs 24 (100) | N/D | N/D | 20 (52.5) vs 13 (54.2) | N/D | 1.76 ±0.6 vs 1.62 ±0.5 | 25 (66.7) vs 9 (36.4) |
Ahmad et al[15], 2008 | 261 vs 61 | 45 | 28 ± 16 vs 48 ± 12 | N/D | Cyclosporine | 247 (94.8) vs 60 (98.4) | N/D | N/D | 107 (41) vs 21 (35) | N/D | N/D | N/D |
Kizilisik et al[11], 2004 | 85 vs 24 | 36 | N/D | N/D | Cyclosporine, azathioprine, steroid, tacrolimus, mycofenolatemofetil | 81 (95) vs 23 (95.8) | 75(88.3) vs 21 (87.5) | N/D | 11(13) vs 5 (20) | N/D | N/D | 7 (8.3) vs 8 (3.5) |
Park et al[12], 2004 | 36 vs 41 | N/D | 33.6 vs 38.3 | 21/15 vs 28/13 | Cyclosporine, steroid and mycophenolatemofetil | N/D | 30 (84) vs 36 (88.5) | 28 (78.8) vs 41 (74.7) | 11 (30) vs 13 (31) | N/D | N/D | N/D |
Wolters et al[13], 2005 | 66 vs 29 | 35 | 31 ± 12.5 vs 51 ± 8.5 | 41/25 vs 23/6 | Cyclosporine/MMF/prednisone vs MMF/prednisone | N/D | 62 (94.7) vs 23 (94.7) | N/D | 6 (9) vs 5 (17.2) | N/D | N/D | N/D |
Simforoosh et al[14], 2006 | 374 vs 1760 | 45.68 ± 46.80 | 28.97 ± 9.58 vs 33.46 ± 14.61 | N/D | Cyclosporine, azathioprine, and prednisone | 342 (91.6) vs 1610 (91.5) | 286 (76.4) vs 1432 (81.4) | 241 (64.4) vs 1200 (68.2) | N/D | N/D | N/D | N/D |
Ishikawa et al[16], 2012 | 66 vs 44 | 12 | 36.1 ± 12.4 vs 55.0 ± 8.8 | 29/15 vs 38/28 | Plasmaphresis, tacro, celecpt, Basiliximab, rituximab, methyl prednisolone, cyclosporine, deoxypergualin | 65 (98.5) vs 43 (97.7) | N/D | N/D | 16 (24.2) vs 14 (31.8) | N/D | N/D | N/D |
Santori et al[17], 2012 | 111 vs 24 | 128.17 ± 86.64 vs 103.53 ± 86.85 | 26.94 ± 13.51 vs 50.04 ± 8.86 | 78/33 vs 18/6 | Cyclosporine, tacro, steroids, celecept | N/D | N/D | 71 (63.8) vs 21 (87.8) | N/D | N/D | N/D | N/D |
Matter et al[18], 2016 | 2075 vs 410 | 7.72 ± 6.15 | 28.8 ± 9.8 vs 34.8 ± 11.1 | 1554/521 vs 297/113 | Steroid- Azathioprine or MMF | 2012 (97) vs 389 (95) | 1784 (86) vs 340 (83) | 1660 (67) vs 270 (66) | 71 (3.4) vs 26 (6.3) | 1.38 ± 0.69 vs 1.35 ± 0.61 | 1.71 ± 1.04 vs 1.59 ± 0.89 | N/D |
Ali et al[19] | 92 vs 143 | 5 | N/D | N/D | Methyl prednisolone, Cyclosporine or tacrolimus MMF | 90 (97) vs 141 (98.6) | 80 (86) vs 125 (87.4) | N/D | N/D | N/D | N/D | N/D |
- Citation: Simforoosh N, Shemshaki H, Nadjafi-Semnani M, Sotoudeh M. Living related and living unrelated kidney transplantations: A systematic review and meta-analysis. World J Transplant 2017; 7(2): 152-160
- URL: https://www.wjgnet.com/2220-3230/full/v7/i2/152.htm
- DOI: https://dx.doi.org/10.5500/wjt.v7.i2.152