Literature DB >> 30885211

Postoperative complications and prognosis after radical gastrectomy for gastric cancer: a systematic review and meta-analysis of observational studies.

Shiqi Wang1, Lei Xu2, Quan Wang3, Jipeng Li3, Bin Bai3, Zhengyan Li3, Xiaoyong Wu3, Pengfei Yu3, Xuzhao Li3, Jichao Yin4.   

Abstract

BACKGROUND: Many observational studies have reported correlations between postoperative complications and prognosis after radical gastrectomy but the results are controversial. This meta-analysis was performed to investigate whether there is a correlation between postoperative complications and prognosis after radical gastrectomy.
METHODS: Literature searches were performed in PubMed, EMBASE, and the Cochrane Library. Studies that investigated the correlations between any postoperative complications and prognosis after radical gastrectomy were included. The pooled hazard ratio (HR) with 95% confidence interval (CI) for postoperative complications regarding overall survival (OS) or recurrence-free survival (RFS) was calculated by using RevMan 5.3.5. Subgroup analyses were performed within pathological stages I, II, and III.
RESULTS: Sixteen retrospective studies comprising 12,065 patients were included. The pooled HR (95% CI) for complications regarding OS was 1.79 (1.39, 2.30) and was 1.40 (1.06, 1.84) after excluding in-hospital mortality; the pooled HR (95% CI) for complications regarding RFS was 1.28 (1.10, 1.49). The pooled HR (95% CI) for infectious complications and leakage regarding OS was 1.86 (1.22, 2.83) and 2.02 (1.02, 4.00), respectively. The pooled HR (95% CI) for any reported postoperative complications regarding OS for stage I, II, and III diseases was 2.39 (0.77, 7.46), 4.35 (2.58, 7.35), and 2.84 (1.77, 4.56), respectively.
CONCLUSIONS: Postoperative complications correlate with poor prognosis after radical gastrectomy. Such correlations are found in stage II and III gastric cancer patients but remain to be determined in stage I gastric cancer patients.

Entities:  

Keywords:  Complications; Prognosis; Radical gastrectomy; Stomach neoplasms

Mesh:

Year:  2019        PMID: 30885211      PMCID: PMC6423865          DOI: 10.1186/s12957-019-1593-9

Source DB:  PubMed          Journal:  World J Surg Oncol        ISSN: 1477-7819            Impact factor:   2.754


Background

The incidence of postoperative complications after radical gastrectomy remains high [1-4], and the estimated incidence is 12.8 to 14% [5-7]. In addition to undermining the short-term survival, postoperative complications may also be correlated with long term prognosis. Currently, increasing numbers of observational studies have investigated the correlation between postoperative complications and long-term prognosis after radical gastrectomy. Although some reports have negative findings [8-12], other studies have demonstrated that overall postoperative complications, infectious complications, and gastrointestinal leakages are all correlated with poor overall survival (OS) and/or recurrence-free survival (RFS) [13-23]. Additionally, the correlations between postoperative complications and long-term prognosis in different stages are controversial and are based on subgroup analyses with small sample sizes [13, 18–20]. Given the prevalence of postoperative complications after radical gastrectomy, it is important to determine whether a correlation exists between postoperative complications and poor prognosis. The existence of that correlation may not only lead to a consideration of shortening follow-up interval and enforcing adjuvant chemotherapy in patient who have developed postoperative complications, but may also underline the necessity of neoadjuvant chemotherapy and stress control management in patients with high risk of developing postoperative complications to reduce the hazard for long term prognosis [9, 11, 21]. In the meta-analysis, the correlations between postoperative complications and prognosis after radical gastrectomy were assessed.

Methods

Search strategy and eligibility criteria

The PubMed, EMBASE, and Cochrane Library databases were searched from inception until February 24, 2019, for studies that assessed the relationship between postoperative complications and prognosis after radical gastrectomy. The following medical subject heading (MeSH) terms and keywords were used: “Stomach Neoplasms”, “Gastrectomy”, “Postoperative Complications”, and “Prognosis”. The search was restricted to studies on humans and to those that were published in the English language. The titles and abstracts were screened by two authors independently. The inclusion criterion was as follows: any study that compared the long-term prognosis between patients with and without postoperative complications after radical gastrectomy for gastric cancer. The exclusion criteria were as follows: (1) data of other neoplasms other than gastric cancer were included in the survival analysis; (2) data of palliative surgery were included in the survival analysis; (3) studies that describe the same patient population; (4) hazard ratio (HR) cannot be estimated; (5) describing complications without precise definitions; (6) letters, comments, or conference abstracts. When multiple studies describing the same patient population were identified, the most recent publication was used unless additional data were provided in the earlier work.

Data extraction

The following data were extracted: first author, year of publication, study design, number of subjects, adjuvant chemotherapy, tumor stage, types of complications, incidences of complications, HR of any postoperative complications, and 5-year OS and 5-year RFS for patients with and without postoperative complications, as well as whether in-hospital deaths were excluded in the survival analysis. Unreported data were requested through e-mail from corresponding authors of the included studies. If there was no response to the e-mails, the missing data were estimated from the figures in the published literatures using Engauge Digitizer 4.1 (Mark Mitchell, Baurzhan Muftakhidinov, and Tobias Winchen et al., “Engauge Digitizer Software.” Webpage: http://markummitchell.github.io/engauge-digitizer) and the HRs were estimated using the method of Tierney et al. [24].

Study quality assessment

The methodological quality of each observational study was assessed by the Newcastle-Ottawa Scale (NOS, ranging 0–9) [25]. In brief, each study was assessed for the following aspects: selection, comparability, and outcome or exposure. The comparability was primarily assessed for pathological stage and was also assessed for aspects of adjuvant chemotherapy and in-hospital death disposition in the survival analysis.

Statistical analysis

Statistical analysis was performed with RevMan (version 5.3.5.; Cochrane Collaboration). HRs and their 95% confidence intervals (CIs) were used to evaluate the association between postoperative complications and prognosis (OS and/or RFS). Subgroup analyses were performed to investigate the correlations between infectious complication, gastrointestinal leakage, and prognosis. Furthermore, correlations were investigated for each pathological stage when possible. Statistical heterogeneities among studies were assessed by the I2 statistic. The random effects model and the fixed effects model were used. If I2 was less than 40% (cutoff point), we used the fixed effect model, while if I2 was more than 40%, the random effects model was chosen. Sensitivity analysis, in which one study was removed at a time, was performed to evaluate the stability of the results. Descriptive techniques were used when clinical heterogeneity existed or when no data could be used in the pooling analysis. The assessment of publication bias was evaluated using the funnel plot. We followed both the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement [26], and the guidelines for Meta-analysis of Observational Studies in Epidemiology (MOOSE) in reporting this study [27]. All analyses were based on previously published studies, thus no ethical approval and patient consent are required.

Results

Literature searches and description of studies

The flow diagram of the literature searches is shown in Fig. 1. The entire study sample size from the 16 included studies was 12,065 patients. The characteristics of the included studies are shown in Table 1. The quality of the included studies was analyzed, and the NOS scores of the included studies varied between 6 and 9 points (see Additional file 1: Table S1).
Fig. 1

Flow chart of articles identified, included, and excluded

Table 1

Study characteristics

Author, yearNOS scoreCountrySamplea sizePeriodComplications typeComparableIn-hospital death5-year RFSb5-year OSb
Pathological stageChemotherapy
Tsujimoto et al. 2009 [13]8Japan141/11911986–2005InfectiousNotNot*ExcludedNR57.9% vs. 78.1%
Sierzega et al. 2010 [14]7Poland41/6491999–2004LeakageNRNRInvolvedNRNR
Yoo et al. 2011 [15]6Korea32/4462000–2005LeakageYesNRInvolvedNR9.4% vs. 68.4%
Nagasako et al. 2012 [16]6Japan37/3631997–2008AnastomoticNRNRInvolvedNR81% vs. 94.2%
Li et al. 2013 [17]7China51/3782005–2006OverallNRNRInvolvedNR21.8%vs. 39.9%
Tokunaga et al. 2013 [18]6Japan81/6842002–2006Intra-abdominal infectiousNotNoneInvolved64.9% vs. 84.5%66.4% vs. 86.8%
Kubota et al. 2014 [19]7Japan207/9812005–2008Overall CD ≥ 2NotNRExcludedNR84.1% vs. 93.1%
Hayashi et al. 2015 [20]7Japan52/4502000–2005Infectious CD ≥ 2NotNoneNoneNR58% vs. 83%
Kim et al. 2015 [8]7Korea72/37552003–2012LeakageNRNRNoneNR70.8% vs. 79.3%
Saito al. 2015 [9]6Japan86/2192001–2012Overall CD ≥ 2NRNRNR53.4% vs. 70.5%NR
Jin et al. 2016 [21]6U.S.A336/4882000–2012OverallNotNotExcluded23% vs. 40%27% vs. 43%
Abdul Kader et al. 2016 [22]7Japan38/2271991–2010Intra-abdominalYesYesInvolvedNR24.6% vs. 69.2%
Climent et al. 2016 [10]8Spain162/1091990–2009Overall CD ≥ 2/infectiousYesYesExcluded46.9% vs. 54.1%48.1% vs. 56.9%
Li et al. 2018 [23]8China86/1722008–2015Overall CD > 2YesNAExcludedNA46.3% vs. 65.9%
Eto et al. 2018 [11]9Japan35/662005–2015Overall CD ≥ 2YesYesNone41.7% vs. 43.9%58.2% vs. 56.3%
Watanabe et al. 2018 [12]7Japan134/2961992–2010Overall CD > 2NotYesInvolved46.9% vs. 45.0%51.3% vs. 47.6%

CD Clavien–Dindo classification of surgical complications, NOS Newcastle-Ottawa Scale, NA not available, NR not reported, OS overall survival, RFS recurrence-free survival

aPatients number with and without concerned complications

bComplications group vs. control group

*More patients in the complication group received adjuvant chemotherapy

Flow chart of articles identified, included, and excluded Study characteristics CD Clavien–Dindo classification of surgical complications, NOS Newcastle-Ottawa Scale, NA not available, NR not reported, OS overall survival, RFS recurrence-free survival aPatients number with and without concerned complications bComplications group vs. control group *More patients in the complication group received adjuvant chemotherapy

Studies on postoperative complications and OS

Thirteen studies were included in the analysis of correlation between any reported postoperative complications and OS [8, 10, 12–19, 21–23]. Of the included studies, eight excluded influences from in-hospital death in the survival analysis [8, 10, 12–14, 19, 21, 23]. The pooled HR (95% CI) of postoperative complications for OS was 1.79 (1.39, 2.30) and was 1.40 (1.06, 1.84) after excluding the in-hospital mortality (Fig. 2). The sensitivity analysis demonstrated that no individual study significantly influenced the overall effect of the HRs. Publication bias was examined by the funnel plot and there was no evidence of publication bias among these comparisons (Fig. 3).
Fig. 2

The association of postoperative complications with overall survival

Fig. 3

Funnel plots for visual inspection of publication bias

The association of postoperative complications with overall survival Funnel plots for visual inspection of publication bias Six studies reported the correlation between infectious complications and OS [8, 10, 13–15, 18]. Four of the studies excluded the in-hospital mortality [8, 10, 13, 14]. The pooled HR of postoperative infectious complications for OS was 1.86 (1.22, 2.83) and was 1.47 (0.90, 2.40) after excluding the in-hospital mortality (Fig. 2). Sensitivity analysis demonstrated that the study form Kim et al. caused high heterogeneity. After excluding the study, the corresponding pooled HR (95% CI) of infectious complications (in-hospital mortality excluded) changed from 1.47 (0.90, 2.40) to 1.77 (1.12, 2.79). Four studies reported the relationship between gastrointestinal leakages and OS [8, 13–15]. Three studies excluded the in-hospital mortality [8, 13, 14]. The pooled HR of gastrointestinal leakages for OS was 2.02 (1.02, 4.00) and was 1.64 (0.78, 3.46) after excluding the in-hospital mortality (Fig. 2). Sensitivity analysis demonstrated that the study form Kim et al. caused high heterogeneity. After excluding the study, the corresponding pooled HR (95% CI) of leakage (in-hospital mortality excluded) changed from 1.64 (0.78, 3.46) to 2.25 (1.45, 3.47).

Studies on postoperative complications and RFS

Seven studies were included in the analysis of correlation between any reported postoperative complications and RFS [9–12, 18, 20, 21]. Four studies excluded the in-hospital mortality [10, 11, 20, 21]. The pooled HR for RFS is 1.28 (1.10, 1.49) and was 1.33 (1.09, 1.63) after excluding the in-hospital death (Fig. 4).
Fig. 4

The association of postoperative complications with recurrence-free survival

The association of postoperative complications with recurrence-free survival Four studies investigated the correlation between infectious complications and RFS [10, 11, 18, 20], and three of them excluded the in-hospital mortality in the analysis [10, 11, 20]. The pooled HR for the RFS in the infectious complications group was 1.65 (1.25, 2.18) and was 1.46 (1.05, 2.03) after excluding the in-hospital mortality (Fig. 4). The results of the sensitivity analysis demonstrated that no individual study significantly influenced the overall effect of HRs.

Studies on postoperative complications and survival in separated pathological stages

Three studies analyzed the correlations between postoperative complications and prognosis in stage I gastric cancer [13, 18, 19]. One study reported a nonsignificant correlation between postoperative complications and OS but did not present any detailed data or figures in the published report [18]. Therefore, two studies with available data were included in the analysis [13, 19]. The pooled HR (95% CI) of postoperative complications for OS in patients with stage I gastric cancer was 2.39 (0.77, 7.46) (Fig. 5).
Fig. 5

The association of postoperative complications with overall survival and recurrence-free survival within varied pathological stages

The association of postoperative complications with overall survival and recurrence-free survival within varied pathological stages Three studies analyzed the correlation between postoperative complications and OS in stage II gastric cancer [13, 18, 19]. The pooled HR of postoperative complications for OS in patients with stage II gastric cancer was 4.35 (2.58, 7.35) (Fig. 5). Three studies analyzed the correlation between postoperative complications and OS in patients with stage III gastric cancer [13, 18, 19], and two studies reported the RFS [18, 20]. The pooled HR of postoperative complications for OS in patients with stage III gastric cancer from was 2.84 (1.77, 4.56), and the pooled HR (95% CI) for RFS was 3.86 (1.85, 8.05) (Fig. 5).

Discussion

The present study undertook a comprehensive review and meta-analysis of the literatures to assess the relationship between postoperative complications and patient prognosis. The results demonstrated that, although the correlation was not found by several studies, the pooled results showed that postoperative complications correlated with poor prognosis. Several reasons may contribute to the divergences. First, the negative findings in some studies may be ascribed to the interfered application of adjuvant chemotherapy. Jin et al. demonstrated lower proportion of adjuvant chemotherapy in the complication group (47% vs. 61%), and the combination of postoperative complications and receiving no adjuvant therapy significantly increased the hazard of death and recurrence. Furthermore, decreased OS and RFS were not observed in patients who experienced complications but received adjuvant therapy [21]. Another study demonstrated that the adjuvant chemotherapy was postponed in patients with intra-abdominal complications (55.3 ± 34.7 vs. 26.6 ± 11.9 days) [22], and the postponed chemotherapy is correlated with poorer survival in patients with gastric cancer [28]. Second, the application of prophylactic neoadjuvant chemotherapy may abolish the poor prognosis induced by postoperative complications. In a cohort with 101 patients who underwent curative gastrectomy after receiving neoadjuvant chemotherapy, Eto et al. demonstrated a comparable RFS between patients with and without postoperative complications, and the 5-year RFS was 41.7% and 43.9%, respectively [11]. Third, the varied perioperative stress level may be an additional reason for the negative finding. Saito et al. demonstrated that the postoperative inflammation degree (reflected by the CRP level), rather than the postoperative complication itself, is related to the recurrence and poor prognosis [9]. Besides, Watanabe et al. also demonstrated comparable prognosis between patients with and without postoperative complications [12]. Their patients underwent total gastrectomy with splenectomy for the treatment of proximal advanced gastric cancer. The extensive resection might lead to an excessive surgical stress in both groups and that may lead to a deteriorated prognosis in patients without postoperative complications [29]. Accordingly, the results of the present study may highlight the importance of both adjuvant and neoadjuvant chemotherapy in patients with postoperative complications or with a high risk of developing postoperative complications. The results of the present study may have also highlighted the stress control management during the perioperative period. However, whether a decreased stress level will result to an improved prognosis remains to be determined. Additionally, any other methods that decrease the postoperative complications may also indirectly improve the prognosis. The intraoperative manipulation, such as the choice of reconstruction or the less invasive approach, may play a role in decreasing the postoperative complications and thereby improve the prognosis indirectly. For instance, recent studies demonstrated that BI reconstruction method significantly reduced the postoperative complications after laparoscopic distal gastrectomy [30, 31]. Therefore, patients may benefit more from that approach with low risk of postoperative complications. In the analysis of the relationship between infectious complications or gastrointestinal leakages and OS, the study from Kim et al. demonstrated high heterogeneity. Kim et al. found that gastrointestinal leakage was not associated with decreased survival. There are some possible reasons for the negative results [8]. First, the effect of leakage may be diluted by the effect of other complications occurred in the control group. That is to say, other complications other than gastrointestinal leakage may also contribute to the poor prognosis and that may cause an underestimated effect of leakage on prognosis. Second, the sample size may not be adequate to detect the significant correlation because their Kaplan-Meier curve demonstrated a trend of poor OS in the leakage group (p = 0.076) [8]. The present study had some limitations. First, five of the included studies did not exclude in-hospital death in the survival analysis [15–18, 22]. It is well acknowledged that in-hospital mortality would be higher in patients with postoperative complications and would decrease the OS accordingly. Therefore, a subgroup analysis with the eight reports that excluded in-hospital death or have no in-hospital death was performed and a similar result was found (HR 1.40, 95% CI 1.06–1.84). Second, more preoperative comorbidity, a higher ASA or ECOG score, and older age were frequently observed in the complication group, as shown in Additional file 1: Table S1, and such characteristics are correlated with a shorter life expectancy after surgery. As a result, we analyzed the data from seven studies that reported RFS [9–12, 18, 20, 21], and the HR demonstrated a positive correlation between postoperative complications and reduced RFS (HR 1. 28, 95% CI 1.10–1.49). The correlation between postoperative complications and poor RFS still exist after the in-hospital mortality were excluded (HR 1.33, 95% CI 1.09–1.63). Third, patients in the complication group frequently had more advanced disease. Eleven of the studies demonstrated the proportion of each stage, and six of the studies reported comparable stages between the two groups [10–12, 15, 22, 23]. Such a bias may cause an overestimated correlation of postoperative complications with long-term prognosis. To avoid the influence of unbalanced tumor stages, the correlations between complications and prognosis were analyzed in separate stages based on the data from four studies [13, 18–20]. In addition to the correlation between postoperative complications and decreased OS and RFS in stage II and III patients, attention should be paid to stage I patients with postoperative complications because of the undetermined result (Fig. 5). If such a correlation did exist, the application of adjuvant chemotherapy might be expanded to stage I patients who have developed postoperative complications. However, a limited number of studies were included in the subgroup analysis of separated pathological stages and the confounders cannot be avoided in the subgroup analysis. More solid evidence from studies with larger sample sizes is warranted, and RFS analysis should also be considered in further studies.

Conclusions

In summary, there is good evidence to support the correlations between postoperative complications and poor prognosis after radical gastrectomy. The influence of postoperative complications on prognosis is also demonstrated in patients with stage II and III gastric cancer but remains to be determined in patients with stage I gastric cancer. To reduce the negative impact of postoperative complications on the long term prognosis, neoadjuvant chemotherapy may be considered in patients with high risk of developing postoperative complications and adjuvant chemotherapy should be enforced in patients who have developed postoperative complications. Additionally, perioperative stress control management might be beneficial for improving the long term prognosis after radical gastrectomy. Table S1. NOS of Cohort studies. NOS of Case-control studies. (DOCX 27 kb)
  31 in total

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Authors:  Kazuaki Matsui; Shinichi Sakuramoto; Hirofumi Sugita; Keiji Nishibeppu; Gen Ebara; Shohei Fujita; Shiro Fujihata; Shuichiro Oya; Yutaka Miyawaki; Hiroshi Sato; Shigeki Yamaguchi; Keishi Yamashita
Journal:  Langenbecks Arch Surg       Date:  2021-05-21       Impact factor: 3.445

2.  Is Sarcopenic Obesity an Indicator of Poor Prognosis in Gastric Cancer Surgery? A Cohort Study in a Western Population.

Authors:  V Rodrigues; F Landi; S Castro; R Mast; N Rodríguez; A Gantxegi; J Pradell; M López-Cano; M Armengol
Journal:  J Gastrointest Surg       Date:  2020-07-13       Impact factor: 3.452

3.  Short- and Long-term Outcome After Gastric Cancer Resection in Patients Aged 80 Years and Older.

Authors:  Shintaro Hashimoto; Masato Araki; Yorihisa Sumida; Kouki Wakata; Kiyoaki Hamada; Tota Kugiyama; Ayako Shibuya; Masato Nishimuta; Akihiro Nakamura
Journal:  Cancer Diagn Progn       Date:  2022-03-03

4.  Clinical impact of perirenal thickness on short- and long-term outcomes of gastric cancer after curative surgery.

Authors:  Kojiro Eto; Naoya Yoshida; Masaaki Iwatsuki; Shiro Iwagami; Kenichi Nakamura; Keisuke Morita; Satoshi Ikeshima; Kei Horino; Shinya Shimada; Hideo Baba
Journal:  Ann Gastroenterol Surg       Date:  2022-01-25

5.  Effect of Short-Term Preoperative Parenteral Nutrition Support for Gastric Cancer Patients with Sarcopenia: a Propensity Score Matching Analysis.

Authors:  Ze-Xin Huang; Hui-Hui Zhang; Wei-Teng Zhang; Ming-Ming Shi; Jia-Huan Ren; Li-Bin Xu; Xiao-Dong Chen; Guan-Bao Zhu
Journal:  J Gastrointest Surg       Date:  2022-01-29       Impact factor: 3.267

6.  Return to Intended Oncologic Treatment (RIOT) in Resected Gastric Cancer Patients.

Authors:  Marcus Fernando Kodama Pertille Ramos; Tiago Biachi de Castria; Marina Alessandra Pereira; Andre Roncon Dias; Fernanda Fronzoni Antonacio; Bruno Zilberstein; Paulo Marcelo Gehm Hoff; Ulysses Ribeiro; Ivan Cecconello
Journal:  J Gastrointest Surg       Date:  2019-11-19       Impact factor: 3.452

7.  The survival impact of postoperative complications after curative resection in patients with esophageal squamous cell carcinoma: propensity score-matching analysis.

Authors:  Manabu Yamamoto; Mototsugu Shimokawa; Daisuke Yoshida; Shohei Yamaguchi; Mitsuhiko Ohta; Akinori Egashira; Masahiko Ikebe; Masaru Morita; Yasushi Toh
Journal:  J Cancer Res Clin Oncol       Date:  2020-03-17       Impact factor: 4.553

8.  Impact of Postoperative Complications on Long-Term Survival After Resection of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Junjie Kong; Guangbing Li; Jiawei Chai; Guangsheng Yu; Yong Liu; Jun Liu
Journal:  Ann Surg Oncol       Date:  2021-06-23       Impact factor: 5.344

9.  The Advantages of Robotic Gastrectomy over Laparoscopic Surgery for Gastric Cancer.

Authors:  Tomoyuki Matsunaga; Wataru Miyauchi; Yusuke Kono; Yuji Shishido; Kozo Miyatani; Takehiko Hanaki; Joji Watanabe; Kyoichi Kihara; Manabu Yamamoto; Yoji Fukumoto; Naruo Tokuyasu; Shuichi Takano; Teruhisa Sakamoto; Soichiro Honjo; Hiroaki Saito; Yoshiyuki Fujiwara
Journal:  Yonago Acta Med       Date:  2020-05-18       Impact factor: 1.641

10.  Adverse Prognostic Impact of Postoperative Complications After Gastrectomy for Patients With Stage II/III Gastric Cancer: Analysis of Prospectively Collected Real-World Data.

Authors:  Jeong Ho Song; Sejin Lee; Seohee Choi; Minah Cho; In Gyu Kwon; Yoo Min Kim; Taeil Son; Hyoung-Il Kim; Minkyu Jung; Woo Jin Hyung
Journal:  Front Oncol       Date:  2021-04-29       Impact factor: 6.244

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