| Literature DB >> 33048340 |
Shao-Zhuo Huang1, Hao-Qi Chen2, Wei-Xin Liao3, Wen-Ying Zhou4, Jie-Huan Chen5, Wen-Chao Li1, Hui Zhou1, Bo Liu6, Kun-Peng Hu7.
Abstract
Laparoscopic cholecystectomy and percutaneous transhepatic gallbladder drainage (PTGBD) are common treatments for patients with acute cholecystitis. However, the safety and efficacy of emergency laparoscopic cholecystectomy (ELC) and delayed laparoscopic cholecystectomy (DLC) after PTGBD in patients with acute cholecystitis remain unclear. The PubMed, EMBASE, and Cochrane Library databases were searched through October 2019. The quality of the included nonrandomized studies was assessed using the Methodological Index for Nonrandomized Studies (MINORS). The meta-analysis was performed using STATA version 14.2. A random-effects model was used to calculate the outcomes. A total of fifteen studies involving 1780 patients with acute cholecystitis were included in the meta-analysis. DLC after PTGBD was associated with a shorter operative time (SMD - 0.51; 95% CI - 0.89 to - 0.13; P = 0.008), a lower conversion rate (RR 0.43; 95% CI 0.26 to 0.69; P = 0.001), less intraoperative blood loss (SMD - 0.59; 95% CI - 0.96 to - 0.22; P = 0.002) and longer time of total hospital stay compared to ELC (SMD 0.91; 95% CI 0.57-1.24; P < 0.001). There was no difference in the postoperative complications (RR 0.68; 95% CI 0.48-0.97; P = 0.035), biliary leakage (RR 0.65; 95% CI 0.34-1.22; P = 0.175) or mortality (RR 1.04; 95% CI 0.39-2.80; P = 0.933). Compared to ELC, DLC after PTGBD had the advantages of a shorter operative time, a lower conversion rate and less intraoperative blood loss.Entities:
Keywords: Acute cholecystitis; Cholecystectomy; Meta-analysis; PTGBD
Year: 2020 PMID: 33048340 PMCID: PMC8005400 DOI: 10.1007/s13304-020-00894-4
Source DB: PubMed Journal: Updates Surg ISSN: 2038-131X
Fig. 1PRISMA flow diagram of literature screening
Quality assessment of non-randomized trials
| Author (year) | Quality evaluation criteria | Additional criteria in comparative studies | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Clear started aim | Inclusion of consecutive patients | Prospective data collection | Endpoints appropriate to the study aim | Unbiased assessment of study end point | Appropriate follow-up period | Loss to follow-up less than 5% | Prospective calculation of the study size | Adequate control group | Contemporary groups | Baseline equivalence | Adequate statistical analysis | Total | |
| Kim (2000) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| Chikamori (2002) | 2 | 2 | 0 | 2 | 2 | 2 | 1 | 0 | 1 | 2 | 2 | 2 | 18 |
| Tsumura (2004) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| Kim (2008) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| Kim (2009) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| Kim (2011) | 2 | 2 | 0 | 1 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 19 |
| Choi (2012) | 2 | 2 | 0 | 2 | 2 | 2 | 1 | 0 | 2 | 2 | 2 | 2 | 19 |
| Hu (2015) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| Na (2015) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| Ni (2015) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| EI-Gendi (2017) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| Jung (2017) | 2 | 2 | 0 | 1 | 2 | 2 | 1 | 0 | 2 | 2 | 2 | 2 | 18 |
| Lee (2017) | 2 | 2 | 0 | 1 | 2 | 2 | 1 | 0 | 2 | 2 | 2 | 2 | 18 |
| Jia (2018) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
| Ke (2018) | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 2 | 2 | 2 | 2 | 20 |
Items are scored as follows: 0 (not reported), 1 (reported but inadequate), 2 (reported and adequate). Global ideal score for non-comparative studies is 16 and for comparative ones is 24
Characteristics of the included studies
| Author | Year | Mean ± SD | Country | Control/cases | Study period | Time between PTGBD and LC (days) |
|---|---|---|---|---|---|---|
| Kim | 2000 | ELC: 51 ± 13 PTGBD + DLC: 53 ± 12.5 | Korea | 45/27 | 1994–1999 | < 7 |
| Chikamori | 2002 | ELC: 67 ± 13 PTGBD + DLC: 65 ± 10 | Japan | 9/31 | 1998–2002 | < 7 |
| Tsumura | 2004 | ELC: 55.4 ± 16.7 PTGBD + DLC: 64.5 ± 13.6 | Japan | 73/60 | 1998–2003 | > 7 |
| Kim | 2008 | ELC: 60.5 ± 13.4 PTGBD + DLC: 66.8 ± 11.7 | Korea | 62/37 | 2003–2006 | > 7 |
| Kim①* | 2009 | ELC: 55.5 ± 13.3 PTGBD + DLC: 57.7 ± 11.9 | Korea | 60/35 | 2002–2007 | < 7 |
| Kim②* | 2009 | ELC: 55.5 ± 13.3 PTGBD + DLC: 61.0 ± 12.1 | Korea | 60/38 | 2002–2007 | > 7 |
| Kim | 2011 | ELC: 55.5 ± 13.3 PTGBD + DLC: 66.4 ± 15.3 | Korea | 147/97 | 2006–2009 | < 7 |
| Choi | 2012 | ELC: 60.4 ± 13.0 PTGBD + DLC: 72.5 ± 12.6 | Korea | 63/60 | 2007–2011 | < 7 |
| Hu | 2015 | ELC: 71.5 ± 11.5 PTGBD + DLC: 72.5 ± 12.6 | China | 35/35 | 2010–2014 | > 7 |
| Na | 2015 | ELC: 72.55 ± 7.00 PTGBD + DLC: 72.95 ± 7.49 | Korea | 77/39 | 2009–2013 | < 7 |
| Ni | 2015 | ELC: 59.0 ± 12.9 PTGBD + DLC: 65.6 ± 13.6 | China | 33/26 | 2005–2012 | > 7 |
| EI-Gendi | 2017 | ELC: 50.19 ± 12.01 PTGBD + DLC: 49.65 ± 11.63 | Egypt | 75/75 | 2014–2016 | > 7 |
| Jung | 2017 | ELC: 56.3 ± 15.5 PTGBD + DLC: 64.9 ± 14.9 | Korea | 166/128 | 2010–2014 | > 7 |
| Lee | 2017 | ELC: 61.6 ± 15.6 PTGBD + DLC: 69.0 ± 11.5 | Korea | 41/44 | 2013–2016 | > 7 |
| Jia | 2018 | ELC: 65.28 ± 16.71 PTGBD + DLC: 62.11 ± 13.1 | China | 48/38 | 2013–2015 | < 7 |
| Ke | 2018 | ELC: 62 ± 16 PTGBD + DLC: 67 ± 14 | China | 47/49 | 2013–2017 | > 7 |
SD standard deviation, PTGBD percutaneous transhepatic gallbladder drainage, LC laparoscopic cholecystectomy, ELC emergency laparoscopic cholecystectomy, DLC delayed laparoscopic cholecystectomy
*Kim① and Kim② came from the same study that split into two groups according to the time between PTGBD and LC
Fig. 2Forest plot of operative time of LC after PTGBD in patient with acute cholecystitis
Fig. 3Forest plot of conversion rate of LC after PTGBD in patient with acute cholecystitis
Fig. 4Forest plot about time of total hospital stay of LC after PTGBD in patient with acute cholecystitis
Fig. 5Forest plot of intraoperative blood loss of LC after PTGBD in patient with acute cholecystitis
Fig. 6Forest plot of postoperative complications of LC after PTGBD in patient with acute cholecystitis
Fig. 7Forest plot of biliary leak of LC after PTGBD in patient with acute cholecystitis
Fig. 8Forest plot of mortality of LC after PTGBD in patient with acute cholecystitis
Fig. 9Begg’s funnel plot (a) and Egger’s test (b) of biliary leak were used to evaluate the publication bias