Meta-Analysis
Copyright ©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
Table 1 Study design
PatientsPatients underwent kidney transplantation
Literature searchKeyword search in PubMed, Google scholar and Scopus
DatabasesPubmed, Ovid, MEDLINE, EMBASE, the Cochrane Controlled Trials Register, HealthSTAR, CINAHL, Google, and Google Scholar
LimitsOnly comprehensive articles without time limit Humans In English
KeywordsKidney transplantation Renal transplant Related Unrelated
Eligibility criteriaArticle 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 criteriaDuplicate 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 abstractionArticles 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 outcomesGraft survival rate
Secondary outcomesAcute rejection rate
Controls for Publication biasPerformed 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.NumberMean follow up (mo)Recipient mean age (yr)Recipient sex M/FImmunosuppression regimenOne year graft survival ratefive years graft survival rate10 yr graft survival rateAcute rejection rateMean serum Cr at 1 yrMean serum Cr at final follow upPost-transplant infectious complications
Cortesini et al[9], 2002302 vs 1724232.8 ± 7.3 vs 44 ± 9.9215/87 vs 133/39Cyclosporine275 (91) vs 150 (87)232 (77) vs 136 (79)199 (66) vs 118 (69)N/D1.9 ± 0.8 vs 2.0 ± 0.82.0 ± 0.8 vs 1.9 ± 0.8N/D
Simforoosh et al[5], 2016411 vs 3305N/D27.6 ± 10.1 vs 35.6 ± 15.6270/138 vs 2164/1136Cyclosporine89% vs 90%288 (70.2) vs 2697 (81.6)225 (54.9) vs 2350 (71.1)N/DN/DN/DN/D
Voiculescu et al[10], 200338 vs 2419.6 ± 15.437.7 ± 12.1 vs 53.6 ± 7.826/12 vs 14/10Steroids, cyclosporine, mycophenolate mofetil36 (94.8) vs 24 (100)N/DN/D20 (52.5) vs 13 (54.2)N/D1.76 ±0.6 vs 1.62 ±0.525 (66.7) vs 9 (36.4)
Ahmad et al[15], 2008261 vs 614528 ± 16 vs 48 ± 12N/DCyclosporine247 (94.8) vs 60 (98.4)N/DN/D107 (41) vs 21 (35)N/DN/DN/D
Kizilisik et al[11], 200485 vs 2436N/DN/DCyclosporine, azathioprine, steroid, tacrolimus, mycofenolatemofetil81 (95) vs 23 (95.8)75(88.3) vs 21 (87.5)N/D11(13) vs 5 (20)N/DN/D7 (8.3) vs 8 (3.5)
Park et al[12], 200436 vs 41N/D33.6 vs 38.321/15 vs 28/13Cyclosporine, steroid and mycophenolatemofetilN/D30 (84) vs 36 (88.5)28 (78.8) vs 41 (74.7)11 (30) vs 13 (31)N/DN/DN/D
Wolters et al[13], 200566 vs 293531 ± 12.5 vs 51 ± 8.541/25 vs 23/6Cyclosporine/MMF/prednisone vs MMF/prednisoneN/D62 (94.7) vs 23 (94.7)N/D6 (9) vs 5 (17.2)N/DN/DN/D
Simforoosh et al[14], 2006374 vs 176045.68 ± 46.8028.97 ± 9.58 vs 33.46 ± 14.61N/DCyclosporine, azathioprine, and prednisone342 (91.6) vs 1610 (91.5)286 (76.4) vs 1432 (81.4)241 (64.4) vs 1200 (68.2)N/DN/DN/DN/D
Ishikawa et al[16], 201266 vs 441236.1 ± 12.4 vs 55.0 ± 8.829/15 vs 38/28Plasmaphresis, tacro, celecpt, Basiliximab, rituximab, methyl prednisolone, cyclosporine, deoxypergualin65 (98.5) vs 43 (97.7)N/DN/D16 (24.2) vs 14 (31.8)N/DN/DN/D
Santori et al[17], 2012111 vs 24128.17 ± 86.64 vs 103.53 ± 86.8526.94 ± 13.51 vs 50.04 ± 8.8678/33 vs 18/6Cyclosporine, tacro, steroids, celeceptN/DN/D71 (63.8) vs 21 (87.8)N/DN/DN/DN/D
Matter et al[18], 20162075 vs 4107.72 ± 6.1528.8 ± 9.8 vs 34.8 ± 11.11554/521 vs 297/113Steroid- Azathioprine or MMF2012 (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 ± 0.611.71 ± 1.04 vs 1.59 ± 0.89N/D
Ali et al[19]92 vs 1435N/DN/DMethyl prednisolone, Cyclosporine or tacrolimus MMF90 (97) vs 141 (98.6)80 (86) vs 125 (87.4)N/DN/DN/DN/DN/D