Passive drainage to gravity and closed-suction drainage following pancreatoduodenectomy lead to similar grade B and C postoperative pancreatic fistula rates. A meta-analysis.


Journal

International journal of surgery (London, England)
ISSN: 1743-9159
Titre abrégé: Int J Surg
Pays: United States
ID NLM: 101228232

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 04 02 2019
revised: 12 04 2019
accepted: 03 05 2019
pubmed: 13 5 2019
medline: 11 10 2019
entrez: 13 5 2019
Statut: ppublish

Résumé

There is no level 1a evidence regarding the impact of passive drainage to gravity (PDG) and closed-suction drainage (CSD) following pancreatoduodenectomy on clinical outcomes. The aim of this meta-analysis was to evaluate the impact of PDG versus CSD on surgical outcomes following pancreaticoduodenectomy in high risk patients who would benefit from pancreatic drainage. The Pubmed, EMBASE, and Cochrane Library were systematically searched. Postoperative pancreatic fistula (POPF) rate was the primary endpoint. A subgroup meta-analysis of randomized controlled trials (RCT) was performed in addition to a meta-analysis of all eligible studies. Mantel-Haenszel method (random-effects model) with odds ratios and 95% confidence intervals (OR (95%CI)) as an effect measure was utilized. Six studies, whereof 3 RCTs, involving 1519 patients (806 PDG and 713 CSD) were included. In meta-analysis of all studies, overall [OR (95%CI) = 0.81 (0.42, 1.56); p = 0.53; I This meta-analysis found no difference in short-term clinical outcomes including, clinically relevant, grade B and C POPF rates between PDG and CSD. Furthermore, postoperative complication rates were similar with the use of either drain.

Identifiants

pubmed: 31078675
pii: S1743-9191(19)30104-9
doi: 10.1016/j.ijsu.2019.05.001
pii:
doi:

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

24-31

Informations de copyright

Copyright © 2019 IJS Publishing Group Ltd. Published by Elsevier Ltd. All rights reserved.

Auteurs

Mahir Gachabayov (M)

Department of Surgery, Westchester Medical Center, New York Medical College, Valhalla, NY, USA.

Shekhar Gogna (S)

Department of Surgery, Westchester Medical Center, New York Medical College, Valhalla, NY, USA.

Rifat Latifi (R)

Department of Surgery, Westchester Medical Center, New York Medical College, Valhalla, NY, USA.

Xiang D Dong (XD)

Department of Surgery, Westchester Medical Center, New York Medical College, Valhalla, NY, USA. Electronic address: xiang.dong@wmchealth.org.

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Classifications MeSH