A Systematic Review and Meta-Analysis of Preoperative Biliary Drainage Methods in Periampullary Tumors
Abstract
1. Introduction
- Which PBD method has the lowest postprocedural complications?
- Which type of PBD has a decreased postoperative morbidity?
- Is mortality influenced by the PBD technique used?
2. Materials and Methods
2.1. Literature Search Strategy
2.2. Inclusion Criteria
2.3. Data Exclusion
2.4. Outcomes and Definitions
2.5. Statistical Analysis
- Which PBD method has the lowest postprocedural complications?
- Which type of PBD has a decreased postoperative morbidity?
- Is mortality influenced by the PBD technique used?
3. Results
3.1. Search Tools and Study Characteristics
3.2. Statistical Analysis Among Subgroups
3.2.1. Procedural Approach: ERBD Versus ENBD/PTBD
Postprocedural Complications and Delay Until Surgery
- Pancreatitis
- Cholangitis
- Perforation
- Hemorrhage
- Catheter occlusion
- Catheter exchange
- Duration of biliary drainage
Postoperative Complications
- Overall complication rate
- Infectious complications
- Sepsis
- Intraabdominal abscess
- Wound infections
- Postpancreatectomy hemorrhage (PPH)
- Chyle leak
- Postoperative Biliary Fistula (POBF)
- Postoperative Pancreatic Fistula (POPF)
- Delayed gastric emptying (DGE)
Intraoperative Characteristics
- Soft pancreas
- Main biliary duct (MBD) diameter
- Operative time
- Blood loss
Prognostic Factors
- Hospital stay
- Reoperation rate
- Mortality
3.2.2. Types of ERBD Stents: PS Versus SEMS
Postprocedural Complications and Delay Until Surgery
- Pancreatitis
- Cholangitis
- Perforation
- Hemorrhage
- Catheter occlusion
- Catheter exchange
- Duration of drainage
Postoperative Complications
- Overall complication rate
- Infectious complications rate
- Sepsis
- Intraabdominal abscess
- Wound infection
- Postpancreatectomy hemorrhage (PPH)
- Chyle leak
- Postoperative biliary fistula (POBF)
- Postoperative pancreatic fistula (POPF)
- Delayed gastric emptying (DGE)
Intraoperative Characteristics
- Soft pancreas
- Main biliary duct (MBD) diameter
- Operative time
- Blood loss
Prognostic Factors
- Hospital stay
- Reoperation rate
- Mortality
3.3. Summarized Results
4. Discussion
5. Conclusions
6. Limitation of the Study
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| No. | Author Name | Year of Publication | Type of Study | Population | Groups Compared | Age (Years) | Neoadjuvant Therapy n (%) | MBD Diameter (mm) | Soft Pancreas n (%) |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Bademci et al. [37] | 2022 | Retrospective Cohort Study | 48 | PS N = 17 SEMS N = 31 | 69 vs. 70 (p = 0.773) | - | - | - |
| 2 | Satoh et al. [38] | 2022 | Retrospective Cohort Study | 156 | ERBD N = 117 ENBD N = 39 | 70 vs. 71 (p = 0.217) | - | 3 vs. 4 (p = 0.327) | 73 (62%) vs. 26 (67%) (p = 0.63) |
| 3 | Subasi et al. [39] | 2022 | Retrospective Cohort Study | 75 | ERBD N = 42 PTBD N = 33 | 62.9 vs. 65.2 (p = 0.523) | - | 3.7 vs. 4.3 (p = 0.557) | 14 (33.3%) vs. 13 (39.4%) (p = 0.607) |
| 4 | Latenstein et al. [40] | 2021 | Retrospective Cohort Study | 575 | PS N = 329 SEMS N = 246 | 67 vs. 68 (p = 0.117) | 17 (5.2%) vs. 31 (12.6%) (p = 0.011) | 209 (63.5%) vs. 121 (49.2%) (p = 0.001) | |
| 5 | Han et al. [41] | 2021 | Retrospective Cohort Study | 88 | ERBD N = 42 ENBD N = 46 | 65 vs. 67 (p = 0.529) | - | - | - |
| 6 | Huang et al. [42] | 2015 | Retrospective Cohort Study | 100 | ERBD N = 37 ENBD N = 18 PTBD N = 45 | 58.1 vs. 60.6 vs. 57.5 (p = 0.56) | - | - | - |
| 7 | Haapamäki et al. [43] | 2015 | Retrospective Cohort Study | 191 | PS N = 163 SEMS N = 28 | 64 vs. 64 | 22 (20%) vs. 3 (14%) | - | - |
| 8 | Okano et al. [44] | 2019 | Retrospective Cohort Study | 1942 | ERBD N = 1170 ENBD/PTBD N = 772 | 64 vs. 62 (p = 0.025) | - | - | - |
| 9 | Roberts et al. [45] | 2021 | Retrospective Cohort Study | 157 | PS N = 108 SEMS N = 49 | 66.3 vs. 67.2 (p = 0.63) | 2 (1.9%) vs. 9 (18.4%) (<0.001) | - | - |
| 10 | Lee et al. [46] | 2018 | Retrospective Cohort Study | 569 | ERBD N = 335 PTBD N = 234 | 63.1 vs. 63.5 (p = 0.609) | - | - | - |
| 11 | Mori et al. [47] | 2019 | Retrospective Cohort Study | 84 | ERBD N = 60 PTBD N = 24 | 68 vs. 73 (p = 0.156) | 20 (33%) vs. 9 (37%) (p = 0.717) | - | - |
| 12 | Byun et al. [48] | 2021 | Retrospective Cohort Study | 167 | ERBD N = 106 PTBD N = 61 | 62 vs. 64 (p = 0.805) | - | - | - |
| 13 | Park et al. [14] | 2011 | Retrospective Cohort Study | 77 | ERBD N = 34 PTBD N = 43 | 63.7 vs. 65.9 (p = 0.305) | - | - | - |
| 14 | Kitahata et al. [49] | 2014 | Retrospective Cohort Study | 127 | ERBD N = 67 ENBD/PTBD N = 60 | 68 vs. 70 (p = 0.333) | 3 vs. 0 (p = 0.144) | - | 35 vs. 31 (p = 0.949) |
| 15 | El-Haddad et al. [50] | 2021 | Prospective Cohort Study | 64 | ERBD N = 34 PTBD N = 30 | 53.3 vs. 54 (p = 0.79) | - | - | 7 (23%) vs. 14 (46.7%) (p = 0.16) |
| 16 | Fujii et al. [12] | 2015 | Prospective Cohort Study | 122 | ERBD N = 72 ENBD N = 50 | 67 vs. 66.5 (p = 0.682) | - | 4.9 vs. 4.3 (p = 0.180) | 21 vs. 19 (p = 0.307) |
| 17 | Cho et al. [51] | 2020 | Prospective RCT | 53 | PS N = 26 UCSEMS N = 27 | 69 vs. 67 (p = 0.936) | - | - | - |
| 18 | Tol et al. [13] | 2016 | Prospective Cohort Study | 151 | PS N = 102 FCSEMS N = 49 | 64.7 vs. 67.5 | - | - | - |
| 19 | Cavell et al. [52] | 2013 | Retrospective Study | 220 | PS N = 149 SEMS N = 71 | 68 vs. 67 (p = 0.858) | 10 (7.4%) vs. 23 (34.3%) (p < 0.001) | - | - |
| 20 | Suenaga et al. [53] | 2021 | Prospective Cohort Study | 78 | ERBD N = 40 ENBD/PTBD N = 38 | 67 vs. 70 (p = 0.084) | 13 (33%) vs. 5 (13%) (p = 0.060) | - | 13 (33%) vs. 20 (53%) (p = 0.072) |
| 21 | Uemura et al. [54] | 2015 | Retrospective Cohort Study | 573 | ERBD N = 407 PTBD N = 166 | 67 vs. 67 | 203 (50%) vs. 79 (49%) (p = 0.957) | - | - |
| 22 | Song et al. [55] | 2016 | Prospective RCT | 86 | PS N = 43 FCSEMS N = 43 | 65.72 vs. 65.67 (p = 0.982) | - | - | - |
| 23 | Zhang et al. [10] | 2017 | Retrospective Cohort Study | 153 | ENBD N = 102 ERBD N = 51 | 55.26 vs. 56.24 (p = 0.542) | - | 1.73 vs. 1.78 (p = 0.540) | 56 (54.9%) vs. 22 (43.1%) (p = 0.170) |
| 24 | Kuwatani et al. [56] | 2020 | Retrospective Cohort Study | 29 | SEMS N = 17 PS = 12 | 66 vs. 68 (p = 0.824) | - | - | - |
| Total | 5894 |
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Moldovan, S.A.; Moiș, E.I.; Graur, F.; Puia, I.C.; Vlad, I.; Nechita, V.I.; Furcea, L.; Zaharie, F.; Popa, C.; Leucuța, D.C.; et al. A Systematic Review and Meta-Analysis of Preoperative Biliary Drainage Methods in Periampullary Tumors. J. Clin. Med. 2025, 14, 7097. https://doi.org/10.3390/jcm14197097
Moldovan SA, Moiș EI, Graur F, Puia IC, Vlad I, Nechita VI, Furcea L, Zaharie F, Popa C, Leucuța DC, et al. A Systematic Review and Meta-Analysis of Preoperative Biliary Drainage Methods in Periampullary Tumors. Journal of Clinical Medicine. 2025; 14(19):7097. https://doi.org/10.3390/jcm14197097
Chicago/Turabian StyleMoldovan, Septimiu Alex, Emil Ioan Moiș, Florin Graur, Ion Cosmin Puia, Iulia Vlad, Vlad Ionuț Nechita, Luminiţa Furcea, Florin Zaharie, Călin Popa, Daniel Corneliu Leucuța, and et al. 2025. "A Systematic Review and Meta-Analysis of Preoperative Biliary Drainage Methods in Periampullary Tumors" Journal of Clinical Medicine 14, no. 19: 7097. https://doi.org/10.3390/jcm14197097
APA StyleMoldovan, S. A., Moiș, E. I., Graur, F., Puia, I. C., Vlad, I., Nechita, V. I., Furcea, L., Zaharie, F., Popa, C., Leucuța, D. C., Mirel, S., Moldovan, M. Ş., Mocan, T., Seicean, A., Ciocan, A., & Hajjar, N. A. (2025). A Systematic Review and Meta-Analysis of Preoperative Biliary Drainage Methods in Periampullary Tumors. Journal of Clinical Medicine, 14(19), 7097. https://doi.org/10.3390/jcm14197097

