| Literature DB >> 32160231 |
Nanping Lin1,2, Jingrong Li3, Qiao Ke1,2, Fuli Xin1,2, Yongyi Zeng1,2, Lei Wang1,4, Jingfeng Liu1,2.
Abstract
BACKGROUND AND AIM: To evaluate the effect of intermittent pringle maneuver (IPM) on the long-term prognosis and recurrence of hepatocellular carcinoma (HCC).Entities:
Mesh:
Year: 2020 PMID: 32160231 PMCID: PMC7065790 DOI: 10.1371/journal.pone.0229870
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flowchart of study selection process for meta-analysis.
Basic characteristics of the trials included.
| Study | Country | Study year | Design of studies | Follow-up (months) | IPM | Non-IPM | NOS | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NO. | Age (Year) | Sex F:M | occlusion time (min) | NO. | Age (Year) | Sex F:M | ||||||
| Xia 2013 | China | 2001–2006 | RCS | 120 | 224 | 48 (21–78) | 51:173 | 50 (30–98) | 162 | 57 (18–79)- | 43:119 | 8 |
| Huang 2014 | China | 1998–2008 | RCS | 60 | 931 | 56.4±17.2 | 264:667 | 48.7±37.6- | 618 | 54.2±22.1 | 145:473- | 7 |
| Hao 2016 | China | 2010–2012 | RCS | 25 | 206 | 52.9 | 45:161 | 29.1±9.8- | 60 | 55.0 | 12:48- | 8 |
| Hao 2017 | China | 2007–2010 | RCS | 60 | 113 | 51.7 | 37:76 | - | 52 | 55.0 | 15:37 | 6 |
| Famularo 2017 | Italy | 2001–2015 | RCS | 60 | 176 | 65.1 (58.2–72) | 31:145 | 23 (14–30) | 265 | 67.6 (59.2–73.9) | 66:199- | 8 |
| Lee 2018 | China | 2013–2016 | RCT | 48 | 50 | 59.5 (38.0–84.0) | 7:43- | 45.0 (15.0–60.0) | 50 | 62.0 (27.0–78.0) | 11:39 | 8 |
*IPM: intermittent Pringle Maneuver; F:M, female: male; RCS: retrospective cohort study; RCT: randomized controlled trial; NOS, Newcastle-Ottawa Scale
Clinical and pathological characteristics of the trials included.
| Factor | Liver cirrhosis | HBsAg (+) | Child type A | Multiple tumor | Major hepatectomy | Vascular invasion | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| IPM | Non-IPM | IPM | Non-IPM | IPM | Non-IPM | IPM | Non-IPM | IPM | Non-IPM | IPM | Non-IPM | |
| Xia 2013 | 169 | 128 | 209 | 149 | 141 | 101 | 79 | 40 | 93 | 77 | 76 | 65 |
| Huang 2014 | 682 | 322 | 717 | 469 | - | - | 283 | 185 | 416 | 289 | - | - |
| Hao 2016 | - | - | 163 | 50 | 130 | 40 | 205 | 101 | 127 | 35 | - | - |
| Hao 2017 | - | - | - | - | 74 | 35 | 76 | 21 | 73 | 27 | - | - |
| Famularo 2017 | 144 | 214 | - | - | 160 | 248 | 42 | 54 | 22 | 36 | - | - |
| Lee 2018 | 28 | 25 | 35 | 40 | 50 | 50 | 13 | 12 | 15 | 16 | 14 | 17 |
| 92%(P<0.01) | 0%(P = 0.67) | 0%(P = 0.81) | 47%(P = 0.08) | 63%(P = 0.01) | 0%(P = 0.98) | |||||||
| 1.19(0.66,2.15) | 1.02(0.87,1.21) | 0.91(0.68,1.21) | 1.22(0.98,1.52) | 1.10(0.84,1.44) | 0.76(0.52, 1.11) | |||||||
*IPM: intermittent Pringle Maneuver; OR: odd ratio; CI: confident index.
Fig 2Forest plots of OS and DFS rate comparing IPM and non-IPM.
Fig 3Subgroup analysis of 1-, 3-, and 5-year survival rates comparing IPM and non-IPM.
Fig 4Subgroup analysis of 1-, 3-, and 5-year DFS rate comparing IPM and non-IPM.