Literature DB >> 34758772

The long-term survival outcomes of gastric cancer patients with total intravenous anesthesia or inhalation anesthesia: a single-center retrospective cohort study.

Wei-Wei Wu1, Wei-Han Zhang2, Tao Zhu1, Jian-Kun Hu3, Wei-Yi Zhang1, Kai Liu2, Xin-Zu Chen2, Zong-Guang Zhou2, Jin Liu1.   

Abstract

BACKGROUND: The relationship between the type of anesthesia and the survival outcomes of gastric cancer patients is uncertain. This study compared the overall outcome of gastric cancer patients after surgery with total intravenous anesthesia (TIVA) or inhalation anesthesia (IHA).
METHODS: Clinicopathological variables of gastric cancer patients were retrieved from the database of the Surgical Gastric Cancer Patient Registry in West China Hospital, Sichuan University. Patients were grouped according to whether they received TIVA or IHA during the operation. Propensity score (PS) matching was used to balance the baseline variables, and survival outcomes were compared between these two groups. In addition, studies comparing survival outcomes between TIVA and IHA used for gastric cancer surgery and published before April 20th, 2020, were identified, and their data were pooled.
RESULTS: A total of 2827 patients who underwent surgical treatment from Jan 2009 to Dec 2016 were included. There were 323 patients in the TIVA group and 645 patients in the IHA group, with 1:2 PS matching. There was no significant difference in overall survival outcomes between the TIVA and IHA groups before matching the cohort (p = 0.566) or after matching the cohort (p = 0.679) by log-rank tests. In the Cox hazard regression model, there was no significant difference between the TIVA and IHA groups before (HR: 1.054, 95% CI: 0.881-1.262, p = 0.566) or after (HR: 0.957, 95% CI: 0.779-1.177, p = 0.679) PS matching. The meta-analysis of survival outcomes between the TIVA and IHA groups found critical statistical value in the before PS matching cohort (HR 0.74, 95% CI: 0.57-0.96 p < 0.01) and after PS matching cohort (HR: 0.65, 95% CI: 0.46-0.94, p < 0.01).
CONCLUSIONS: Combined with the results of previous studies, total intravenous anesthesia has been shown to be superior to inhalation anesthesia in terms of overall survival for gastric cancer patients undergoing surgical treatment. The selection of intravenous or inhalation anesthesia for gastric cancer surgery should take into account the long-term prognosis of the patient.
© 2021. The Author(s).

Entities:  

Keywords:  Anesthesia; Gastric cancer; Inhalation; Intravenous; Prognosis

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Substances:

Year:  2021        PMID: 34758772      PMCID: PMC8579630          DOI: 10.1186/s12885-021-08946-7

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Introduction

Gastric cancer is one of the most common malignant diseases of the digestive system, especially in East Asian countries [1, 2]. Radical surgical treatment with perioperative chemotherapy is the major treatment choice according to the latest treatment guidelines [3, 4]. Several clinicopathological variables, such as macroscopic type, Lauren classification, differentiation degree of the tumor, tumor stage, resection degree, resection patterns, and lymphadenectomy degree, are independent prognostic factors of gastric cancer patients [5, 6]. In the perioperative period, both surgical stress and anesthetics may influence cell-mediated immunity and humoral immunity by influencing the functions of immune competent cells and inflammatory mediator secretion, resulting in immunosuppression. Meanwhile, immunosuppression attributable to anesthetics may accelerate the growth and metastases of cancer cells and result in poor survival of patients with malignant diseases [7]. In addition, anesthetics were found to suppress the activity of natural killer cells and promote tumor metastasis in rat models [8]. Anesthetics can also result in immunological suppression by influencing the function of natural killer cells, as shown in a clinical study of breast cancer patients [9]. Specifically, propofol-based total intravenous anesthesia has been found to have fewer immunosuppressive effects than sevoflurane-based or desflurane-based inhalation anesthesia. Previous studies have shown that survival outcomes are significantly better in prostate cancer and colon cancer patients who receive propofol-based total intravenous anesthesia than in those who receive desflurane-based inhalation anesthesia [10, 11]. However, the debate regarding the influence of anesthesia types on the long-term survival outcomes of patients with malignant disease has not been settled. For example, some studies reported no relevance of the type of anesthesia for the prognosis of patients with breast cancer [12, 13]. However, paradoxical survival outcomes have been reported between total intravenous anesthesia and inhalation anesthesia in gastric cancer patients [14-16]. Therefore, we performed this single-center retrospective cohort study with a large sample size and adjusted for the clinicopathological prognostic characteristics by the propensity score (PS) matching method between total intravenous anesthesia (TIVA) and inhalation anesthesia (IHA). The purpose of this study was to assess the relationship between types of anesthesia and long-term overall survival outcomes after gastric cancer surgery.

Methods

Data available

We collected data from the database of the Surgical Gastric Cancer Patient Registry in West China Hospital with the registration number WCH-SGCPR-2020. The establishment of this database was approved by the Biomedical Ethical Committee of the West China Hospital, Sichuan University, China (No. 2014–215). Patient records and personal information were deidentified before statistical analysis. Patients who underwent surgical treatment from Jan 1st, 2009 to Dec 31st, 2016 in the WCH-SGCPR database were screened [17, 18]. We included primary gastric cancer patients who underwent surgical resection, with complete intraoperative anesthesia information and postoperative follow-up information (updated to Jan 1st, 2020). Patients with a history of other malignant diseases, preoperative chemotherapy or radiotherapy were excluded from the present study. The selection of the patients is presented in Fig. 1.
Fig. 1

Flow chart of patients’ selection

Flow chart of patients’ selection

Anesthesia method

The choice of anesthesia type was determined by the characteristics of the patients and the preference of the responsible anesthesiologists, and usually choose the type they are better at. In the present study, the patients were divided into the TIVA group and the IHA anesthesia group according to the anesthesia methods. In both the TIVA and IHA groups, anesthesia was induced with midazolam 0.05–0.15 mg/kg, 0.3 μg/kg sufentanil, and 1–2.5 mg/kg propofol. The maintenance dose of anesthesia was propofol 3 mg/(kg*h) or sevoflurane 1 ~ 2% and remifentanil 0.1 ~ 0.2 μg/(kg*min). For patients with total intravenous anesthesia, anesthesia was maintained with propofol and remifentanil infusion. For patients with inhalation anesthesia, anesthesia was maintained with sevoflurane or desflurane inhalation and remifentanil infusion. Patient-controlled analgesia was recommended for all gastric cancer patients who underwent surgical treatment in our hospital and they received a total dose of 3 μg/mL fentanyl or 0.5 μg/mL sufentanil for 72–120 h postoperatively. Nonsteroidal anti-inflammatory drugs (NSAIDs), flurbiprofen axetil or parecoxib sodium were used as rescue solutions during the postoperative recovery period and the hospital stay.

Surgical treatment method

All of the included patients underwent surgical treatment in the Department of Gastrointestinal Surgery, West China Hospital, Sichuan University. A radical operation with curative intent was performed according to the Japanese Gastric Cancer Treatment Guidelines [3]. Total or subtotal gastrectomy was performed according to the tumor stage, tumor location and status of the regional lymph nodes. Intraoperative frozen sections were routinely performed to secure safe resection margins. There were no limitations on the reconstruction methods.

Clinicopathological characteristics

The following clinicopathological information was also retrieved from the database: age (years), sex (male or female), tumor size (cm), Borrmann type (Type I-IV), differentiation degree (well, moderate, poor and undifferentiated), tumor location (adenocarcinoma of the esophagogastric junction (AEG) and non-AEG), operation type (laparoscopic surgery and open surgery), radical degree (R0, R1, and R2), lymphadenectomy degree (D1, D1+, D2, and D2+), operation time (minutes), blood loss (ml), pathological tumor stage (pT, pN and pTNM), number of positive and examined lymph nodes, postoperative nonsteroidal anti-inflammatory drug (NSAID) use, adjuvant chemotherapy and postoperative recovery course (complications and hospital stay). For the clinicopathological variables, the pathological examination was performed by pathologists of the Department of West China Hospital, Sichuan University according to the AJCC 8th staging manual [19].

Follow-up information

Postoperative follow-up was scheduled for each gastric cancer patient who underwent treatment in our department. We recommended at least two outpatient follow-ups in the first 3 years and at least one outpatient follow-up in subsequent years. At each outpatient visit, a physical examination, serum tumor markers (CEA, CA19–9, CA125, CA72–4), and enhanced computed tomography (chest and abdominal) were essential tests. Follow-up information was updated to Jan 1st, 2020. The main reasons for patients lost to follow-up were refused to attend the outpatient visits or changes in contact information. Of the 2966 patients eligible for analysis, 139 patients were lost to postoperative follow-up, so the follow-up rate was 95.3% (2827/2966), with a 48.8 (23.3–77.4) month median follow-up duration.

Meta-analysis between intravenous and inhalation anesthesia methods of gastric cancer surgery

A comprehensive literature search was performed in the Cochrane Library (January 1, 2005 to November 25, 2020), MEDLINE via PubMed (January 1, 1966 to November 25, 2020) and EMBASE (January 1, 1974 to December 02, 2020) using the terms “gastric cancer”, “gastric carcinoma”, “gastric neoplasm”, “stomach cancer”, “stomach carcinoma”, “stomach neoplasm”, “inhalation, anesthesia”, “insufflation”, “volatile”, “intravenous, anesthesia”, “infusion”, “surgery” and “operation”. Previously published meta-analyses and systematic reviews were also searched for relevant articles. Relevant articles were also retrieved by manually checking the reference lists of the retrieved articles. Titles, abstracts, and subsequently full-text articles were screened by two authors (WW Wu and WH Zhang). We only included studies comparing survival outcomes between total intravenous anesthesia and inhalation anesthesia methods of gastric cancer surgery. Review articles, case reports, articles in languages other than English, and articles with incomplete or duplicated data were excluded. Data from the included studies were independently extracted by two authors (WH Zhang, WW Wu). For each study, we recorded the name of the first author, year of publication, country, study design, and period of the included patients. The following variables were also extracted: age (mean ± SD), sex, tumor stage and survival outcomes (hazard ratio, HR; 95% confidence intervals, 95% CI). The meta-analysis of survival outcomes was performed by the random-effects method according to the Cochrane guidelines. We evaluated all included studies for quality with the Newcastle-Ottawa Scale (NOS), and all studies were rated a minimum of 5 points.

Statistical analysis

Continuous variables with a non-normal distribution are expressed as the median and interquartile range (IQR, 25–75%); categorical variables are expressed as numbers (%). The Mann–Whitney U test was used to analyze continuous variables and ordinal categorical variables, whereas the chi-square test was used for unordered categorical variables. Variables that yielded p < 0.1 in univariate survival analysis were considered candidates in the multivariate Cox-hazard model. A P value< 0.05 (2-sided) was defined as statistically significant. For patients in the TIVA group, propensity scores were computed as the conditional probability using a logistic regression model that included baseline characteristics (age, sex, tumor location, operation type, radical degree, lymphadenectomy degree, pT stage, pN stage, pM stage, and adjuvant chemotherapy) to achieve balance in covariates between the TIVA and IHA groups. Propensity score matching pairs were identified without replacement using a 1:2 nearest neighbor matching algorithm with caliper width determined by the recommendation (0.001 of the standard deviation of the logit) [20]. The balance of covariates between the TIVA and IHA groups was assessed by the standardized mean difference (SMD). An SMD < 0.1 indicated a good balance in the covariates between the two groups. All statistical analyses were conducted using R Software (http://www.R-project.org/), including the “survival”, “survminer”, “ggplot2”, “nonrandom”, “MatchIt”, “meta” and “metafor” packages. Considering that this is a retrospective study, we calculated the statistical power via PASS 11 (Version 11.0.7).

Results

Patient characteristics before and after propensity score matching

A total of 3426 patients underwent treatment in the Department of Gastrointestinal Surgery, West China Hospital, Sichuan University from January 2009 to December 2016. According to the inclusion criteria and exclusion criteria, 2827 patients were included in the final analysis, 344 patients with total intravenous anesthesia were in the TIVA group, and 2483 patients with inhalation anesthesia were in the IHA group. The clinicopathological and intraoperative characteristics of the patients were compared between the TIVA and IHA groups before and after propensity score matching, and the results are presented in Table 1. Before PS matching, tumor size, operation type, radical degree, blood loss, pTNM stage, numbers of examined, positive lymph nodes were unbalanced between the TIVA and IHA groups (p < 0.05 and SMD > 0.1). After the 1:2 PS matching procedures, 323 patients in the TIVA group and 645 patients in the IHA group had balanced clinicopathological covariates (p > 0.05 and SMD ≤ 0.1). The standardized differences and distribution of the clinicopathological characteristics before and after propensity score matching are shown in Fig. 2.
Table 1

Clinicopathological characteristics between TIVA group and IHA group, before and after propensity-score match

CharacteristicsTIVA groupN = 323 (%)IHA groupN = 2264 (%)P valueSMDTIVA groupN = 344 (%)IHA groupN = 688 (%)P valueSMD
Age, median (IQR)Years60.0 [51.0, 66.0]59.00 [50.0, 66.0]0.6280.03560.0 [51.0, 66.0]60.0 [51.0, 67.0]0.9670.018
GenderFemale102 (31.6)671 (29.6)0.5170.042102 (31.6)205 (31.8)10.004
Tumor Size, median (IQR)cm4.0 [3.0, 6.0]5.0 [3.0, 6.0]0.0120.1524.0 [3.0, 6.0]4.0 [3.0, 6.0]0.4350.065
Borrmann TypeType III-IV131 (40.6)916 (40.5)10.002131 (40.6)238 (36.9)0.3010.075
Differentiated DegreeG3-G4260 (80.5)1812 (80.0)0.9050.012260 (80.5)521 (80.8)0.9860.007
Tumor LocationNon-AEG74 (22.9)619 (27.3)0.1060.10274 (22.9)145 (22.5)0.9450.010
Operation TypeLaparoscopic29 (9.0)318 (14.0)0.0160.15929 (9.0)73 (11.3)0.3140.078
Radical DegreeR1/R24 (1.2)103 (4.5)0.0080.1984 (1.2)6 (0.9)0.9120.03
Lymphadenectomy DegreeD2/D2+291 (90.1)1991 (87.9)0.3030.069291 (90.1)580 (89.9)10.006
Operation Time, median (IQR)min230.0 [205.0, 260.0]235.0 [205.0, 270.0]0.3680.067230.0 [205.0, 260.0]230.0 [200.0, 265.0]0.9280.007
Blood Loss, median (IQR)ml100.0 [50.0, 105.0]100.0 [80.0, 150.0]0.0320.147100.0 [50.0, 105.0]100.0 [80.0, 200.0]0.0880.126
pT stageT168 (21.1)491 (21.7)0.2420.12068 (21.1)140 (21.7)0.5150.102
T257 (17.6)328 (14.5)57 (17.6)126 (19.5)
T373 (22.6)460 (20.3)73 (22.6)120 (18.6)
T4125 (38.7)985 (43.5)125 (38.7)259 (40.2)
pN stageN0126 (39.0)771 (34.1)0.1250.143126 (39.0)256 (39.7)0.9170.048
N160 (18.6)372 (16.4)60 (18.6)108 (16.7)
N252 (16.1)417 (18.4)52 (16.1)106 (16.4)
N385 (26.3)704 (31.1)85 (26.3)175 (27.1)
pTNM stageI92 (28.5)575 (25.4)0.0260.16192 (28.5)189 (29.3)0.9620.019
II91 (28.2)529 (23.4)91 (28.2)178 (27.6)
III140 (43.3)1160 (51.2)140 (43.3)278 (43.1)
No. of Positive LNs, median (IQR)numbers2.0 [0.0, 7.0]2.0 [0.0, 8.0]0.0130.1382.0 [0.0, 7.0]2.0 [0.0, 7.0]0.8060.034
No. of Examined LNs, median (IQR)numbers26.0 [19.5, 35.0]27.0 [20.0, 37.0]0.0650.15926.0 [19.5, 35.0]26.0 [20.0, 36.0]0.6700.066
Perioperative NSAIDsUse6 (1.9)57 (2.5)0.5980.0456 (1.9)16 (2.5)0.7010.043
Adjuvant ChemotherapyYes183 (56.7)1370 (60.5)0.2070.078183 (56.7)377 (58.4)0.6430.036
Postoperative 30-day complicationsYes54 (16.7)411 (18.2)0.5820.03854 (16.7)114 (17.7)0.7790.025
Postoperative Hospital Stay, median (IQR)Days10.00 [9.00, 12.00]10.00 [9.00, 12.00]0.9920.03110.00 [9.00, 12.00]10.00 [9.00, 12.00]0.8330.015

Abbreviations: TIVA Total intravenous anesthesia, IHA Inhalation anesthesia, SMD Standardized mean difference, IQR Interquartile range, AEG Adenocarcinoma of esophagogastric junction, LNs Lymph nodes

Fig. 2

Illustration of standardized differences in clinicopathological characteristics before and after propensity-score matching cohorts

Clinicopathological characteristics between TIVA group and IHA group, before and after propensity-score match Abbreviations: TIVA Total intravenous anesthesia, IHA Inhalation anesthesia, SMD Standardized mean difference, IQR Interquartile range, AEG Adenocarcinoma of esophagogastric junction, LNs Lymph nodes Illustration of standardized differences in clinicopathological characteristics before and after propensity-score matching cohorts

Univariate and multivariate survival analysis

First, we evaluated the survival outcomes between the TIVA and IHA groups, and there was no survival difference by the log-rank test between the TIVA and IHA groups before PS matching (HR: 1.054, 95% CI: 0.881–1.262, p = 0.566) and after PS matching (HR: 0.957, 95% CI: 0.779–1.177, p = 0.679) (Figs. 3 and 4).
Fig. 3

Survival outcomes between TIVA and IHA groups and subgroup analyses before propensity-score matching cohorts (A. Survival rate for all TNM stages; B. Survival rate for TNM-I stage; C. Survival rate for TNM-II stage; D. Survival rate for TNM-III stage)

Fig. 4

Survival outcomes between TIVA and IHA groups and subgroup analyses in after propensity-score matching cohorts (A. Survival rate for all TNM stages; B. Survival rate for TNM-I stage; C. Survival rate for TNM-II stage; D. Survival rate for TNM-III stage)

Survival outcomes between TIVA and IHA groups and subgroup analyses before propensity-score matching cohorts (A. Survival rate for all TNM stages; B. Survival rate for TNM-I stage; C. Survival rate for TNM-II stage; D. Survival rate for TNM-III stage) Survival outcomes between TIVA and IHA groups and subgroup analyses in after propensity-score matching cohorts (A. Survival rate for all TNM stages; B. Survival rate for TNM-I stage; C. Survival rate for TNM-II stage; D. Survival rate for TNM-III stage) Univariate and multivariate survival analyses of patients in the before and after PS matching cohorts were analyzed and are presented in Tables 2 and 3, respectively. In the multivariate survival analysis of before propensity score matching cohorts, age, tumor size, macroscopic type, radical degree, pathological TNM stage, and postoperative adjuvant chemotherapy were independent prognostic risk factors for overall survival. Additionally, in the multivariate survival analysis of patients after the propensity score matching cohort, age, tumor size, radical degree, pathological TNM stage, and adjuvant chemotherapy were independent prognostic risk factors for the overall survival outcomes. Most importantly, the anesthesia type (intravenous anesthesia or inhalation anesthesia methods) was not a significant risk factor for overall survival outcomes in either the before (HR: 1.054, 95% CI: 0.881–1.262, p = 0.566) or after propensity score matching cohorts (HR: 0.957, 95% CI: 0.779–1.177, p = 0.679).
Table 2

Univariate and Multivariate survival analysis of patients before propensity-score match (N = 2587)

CharacteristicsUnivariateMultivariate
HR95% CIP valueHR95% CIP value
Age, years< 65 vs. ≥651.3071.157–1.477< 0.0011.2171.075–1.3790.002
GenderMale vs. Female0.9980.879–1.1330.978
Tumor locationAEG vs. Non-AEG0.7230.638–0.819< 0.0010.8820.777–1.0020.054
Tumor size, cm< 5 vs. ≥52.7142.388–3.084< 0.0011.3521.168–1.566< 0.001
Macroscopic typeType 0–2 vs. Type 3–42.0801.850–2.338< 0.0011.1641.026–1.3210.019
Differentiate degreeG1–2 vs. G31.5171.291–1.782< 0.0011.1050.935–1.3060.240
Radical degreeR0 vs. R1/R23.0842.473–3.846< 0.0011.9201.534–2.404< 0.001
Lymphadenectomy degreeD1/D1+ vs. D2/D2+1.0350.869–1.2320.701
pTNM stageI vs. II2.6012.048–3.304< 0.0012.3161.803–2.974< 0.001
I vs. III6.5195.284–8.042< 0.0014.9703.916–6.308< 0.001
Adjuvant chemotherapyNo vs. Yes0.8840.786–0.9950.0410.7150.634–0.807< 0.001
Anesthesia methodIVA vs. IHA1.0540.881–1.2620.5660.9320.778–1.1160.441
NSAIDsNo vs. Yes1.1830.828–1.6910.355

Abbreviations: HR Hazard ratio, CI Confidence interval, AEG Adenocarcinoma of esophagogastric junction, TIVA Total intravenous anesthesia, IHA Inhalation anesthesia, NSAIDs Nonsteroidal Anti-inflammatory Drugs

Table 3

Univariate and Multivariate survival analysis of patients after propensity-score match (N = 1032)

CharacteristicsUnivariateMultivariate
HR95% CIP valueHR95% CIP value
Age, years< 65 vs. ≥651.4621.198–1.785< 0.0011.4211.159–1.7430.001
GenderMale vs. Female0.9550.774–1.1790.669
Tumor locationAEG vs. Non-AEG0.7830.629–0.9750.0291.0060.802–1.2610.961
Tumor size, cm< 5 vs. ≥52.5132.052–3.077< 0.0011.3821.100–1.7360.005
Macroscopic TypeType 0–2 vs. Type 3–41.9631.615–2.386< 0.0011.1180.903–1.3830.306
Differentiate DegreeG1–2 vs. G31.4071.077–1.8370.0121.120.849–1.4780.422
Radical DegreeR0 vs. R1/R22.0790.985–4.3910.0551.3670.644–2.9050.416
Lymphadenectomy degreeD1/D1+ vs. D2/D2+1.2200.883–1.6860.229
TNM stageI vs. II3.4402.383–4.965< 0.0013.2142.197–4.703< 0.001
I vs. III6.6914.775–9.376< 0.0015.5693.834–8.089< 0.001
Adjuvant ChemotherapyNo vs. Yes0.8330.685–1.0130.0680.6930.567–0.847< 0.001
Anesthesia methodIVA vs. IHA0.9570.779–1.1770.6790.9460.769–1.1630.597
NSAIDsNo vs. Yes0.5740.256–1.2850.177

Abbreviations: HR Hazard ratio, CI Confidence interval, AEG Adenocarcinoma of esophagogastric junction, TIVA Total intravenous anesthesia, IHA Inhalation anesthesia, NSAIDs Nonsteroidal Anti-inflammatory Drugs

Univariate and Multivariate survival analysis of patients before propensity-score match (N = 2587) Abbreviations: HR Hazard ratio, CI Confidence interval, AEG Adenocarcinoma of esophagogastric junction, TIVA Total intravenous anesthesia, IHA Inhalation anesthesia, NSAIDs Nonsteroidal Anti-inflammatory Drugs Univariate and Multivariate survival analysis of patients after propensity-score match (N = 1032) Abbreviations: HR Hazard ratio, CI Confidence interval, AEG Adenocarcinoma of esophagogastric junction, TIVA Total intravenous anesthesia, IHA Inhalation anesthesia, NSAIDs Nonsteroidal Anti-inflammatory Drugs

Subgroup analysis

We performed subgroup analyses on patients based on their final pathological stage. Patients in both the TIVA and IHA groups had similar survival rates across pTNM stages (Figs. 3 and 4). Before PS match, for whole pTNM stage, the HR was 1.054 (95%CI: 0.881–1.262), the propensity score-adjusted HR was 0.957 (95%CI: 0.779–1.177). For pTNM-I, the HR was 0.980 (95%CI: 0.556–1.728), the propensity score-adjusted HR was 0.630 (95%CI: 0.442–1.639). For pTNM-II, the HR was 0.369 (95%CI: 0.577–1.226), the propensity score-adjusted HR was 1.101 (95%CI: 0.727–1.667). For pTNM-III, the HR was 0.995 (95%CI: 0.798–1.240), the propensity score-adjusted HR was 0.901 (95%CI: 0.697–1.164).

Meta-analysis between total intravenous and inhalation anesthesia

Through the literature search, we found three published studies that compared the survival outcomes between the TIVA and IHA groups (Supplementary Fig. 1). Meanwhile, we added the survival outcomes of our study to the meta-analysis. The general characteristics of the studies are presented in Table 4. Both of the studies used the propensity score matching method to balance the clinicopathological characteristics between the TIVA and IHA groups. Therefore, a meta-analysis of survival outcomes was performed before and after PS matching (Fig. 5A and B). A critical statistical value was found in the before (HR 0.74, 95% CI: 0.57–0.96, p < 0.01) and after (HR 0.65, 95% CI: 0.46–0.94, p < 0.01) PS matching cohort between the TIVA and IHA groups.
Table 4

General characteristics of study compare survival outcomes between total intravenous and inhalation anesthesia

AuthorCountryTime PeriodTumor StageOperation TypeMatch methodPS matchNo. of PatientsAge (year)Gender (male)Survival outcomeHR (95% CI)
TIVAIHAIVAIHAIVAIHAIVA vs. IHA
Oh et al., 2019Korea2005–2015

I-III

AJCC 7th

Lap and Open1:1 PS matchBefore816379158.3 ± 12.460.5 ± 12.756425110.57 (0.37–0.88)
After76976958.7 ± 12.459.3 ± 12.75275270.92 (0.52–1.63)
Zheng et al., 2018China2007–2012

I-III

AJCC 7th

Open Surgery1:1 PS matchBefore15061350NANA3133170.61 (0.54–0.68)
After897897NANA1591600.65 (0.56–0.75)
Huang et al., 2019China2006–2016I-IVNot mentioned1:1 PS matchBefore19021865 ± 1466 ± 151241500.47 (0.34–0.63)
After16716766 ± 1465 ± 151141160.56 (0.41–0.78)
Wu et al.*China2009–2016

I-III

AJCC 8th

Lap and Open1:2 PS matchBefore323226460.0 [51.0, 66.0]59.00 [50.0, 66.0]22115931.05 (0.88–1.26)
After32364560.0 [51.0, 66.0]60.0 [51.0, 67.0]2214400.96 (0.78–1.18)

Abbreviations: TIVA Total intravenous anesthesia, IHA Inhalation anesthesia, PS Propensity score, HR Hazard ratio, CI Confidence interval, NA Not applicable

aThe present study

Fig. 5

Forest plot of survival outcomes among study compares intravenous anesthesia and inhalation anesthesia (A. Before propensity score matching, B. After propensity score matching)

General characteristics of study compare survival outcomes between total intravenous and inhalation anesthesia I-III AJCC 7th I-III AJCC 7th I-III AJCC 8th Abbreviations: TIVA Total intravenous anesthesia, IHA Inhalation anesthesia, PS Propensity score, HR Hazard ratio, CI Confidence interval, NA Not applicable aThe present study Forest plot of survival outcomes among study compares intravenous anesthesia and inhalation anesthesia (A. Before propensity score matching, B. After propensity score matching)

Discussion

According to previous studies, conflicting conclusions have been reported on the survival outcomes of total intravenous anesthesia and inhalation anesthesia used during gastric cancer surgery [14-16]. However, in both the before PS matching and after PS matching cohorts, there was no significant difference between TIVA and IHA in the overall survival outcomes of patients who underwent gastric cancer surgery. In the further subgroup analysis, no statistical differences were found in the survival rates of patients at each stage. Meanwhile, we performed a pooled analysis of survival results from previously reported studies and our study to explore whether anesthesia type can influence the survival outcomes of gastric cancer patients who underwent surgical treatment. A critical statistical value was found in the before and after PS matching cohort between the TIVA and IHA groups for overall survival outcomes. Although other perioperative treatment modalities, such as radiotherapy, may also affect tumor metastasis, the relationship between anesthetic techniques and the prognosis of cancer patients is one of the core concerns during the process of making treatment strategy decisions for malignant diseases. Regional anesthesia, such as epidural anesthesia, has positive implications in the prevention of immunosuppression and in reducing inflammation during the surgical treatment of malignant diseases. Volatile agents are the most common method of maintaining general anesthesia worldwide. TIVA is primarily administered by propofol as an induction and maintenance agent. Propofol has been shown in in vitro experiments to inhibit the expression of oncogenes and suppress tumor angiogenesis, resulting in a lower recurrence rate [21-24]. The survival impact of anesthetic and anesthesia type used during the operation has been evaluated in several malignant diseases. Total intravenous anesthesia has been found to be associated with significantly better survival outcomes than inhalation anesthesia for esophageal cancer patients [25]. In addition, in a large sample size study of colon cancer patients, total intravenous anesthesia had better survival outcomes than inhalation anesthesia irrespective of the tumor-node-metastasis stage [11]. However, for patients who underwent breast cancer surgery, contradictory results were found in previous studies. A study showed that propofol-based TIVA had a lower tumor recurrence risk than sevoflurane-based IHA for breast cancer patients [26]. However, another existing studies found no significant difference in disease-free survival and overall survival between TIVA and IHA for breast cancer patients [12, 27]. Tumor heterogeneity and molecular characteristics are important explanations for the differential treatment outcomes of cancer patients [28, 29]. Whether these factors can help explain the different results among the different cancer types with total intravenous anesthesia or inhalation anesthesia is unclear. Therefore, not only is there a need for research on the relationship and mechanism of anesthetic drugs and the immunological response, further study is expecting to analyze the effects of anesthetic drugs on the expression levels of oncogenes or the regulation of the tumor microenvironment, corresponding functional changes of tumor biological behavior, and the survival outcomes of cancer patients. Specific to gastric cancer, only three studies have reported the influence of TIVA or IHA on the survival outcomes of surgical treatment [14-16]. Although these studies both used the PS matching method to balance clinicopathological characteristics, their conclusions were very different. Different tumor stages or surgical treatment strategies might be the reasons for the different survival outcomes between these two studies. For example, in the study of Oh et al., more than half of the patients underwent laparoscopic surgery, whereas patients who underwent laparoscopic surgery were excluded from the study of Zheng et al. [14, 15]. Laparoscopic gastric cancer surgery has a lower risk of adverse inflammatory reactions than open surgery [30]. Therefore, a reduction of adverse immune reactions by a high proportion of laparoscopic surgeries may amplify the effect of inhalation anesthesia on immune suppression. In our study, we did not exclude laparoscopic surgery and found no survival difference between total intravenous anesthesia and inhalation anesthesia with long-term follow-up. In addition, the different follow-up durations may be another reason for the different survival results of the previous two studies. The limited follow-up duration of the study of Oh et al. may not fully and accurately reflect the survival difference between the TIVA and IHA groups. Our study balanced the operation type (laparoscopic and open operations) and analyzed long-term survival outcomes. Therefore, according to the results of our study, both TIVA and IHA are acceptable anesthesia methods for gastric cancer surgery. In addition, the contradictory survival results reported for TIVA and IHA used to treat gastric cancers should be considered. We performed a meta-analysis of survival outcomes between total intravenous anesthesia and inhalation anesthesia, including data from previously reported studies and our study. However, there was a significant difference in survival between the TIVA and IHA groups in the meta-analysis. What calls for special attention is that all three studies included in the meta-analysis were retrospective studies, and selection bias and other natural limitations of the retrospective study design cannot be neglected. Therefore, these results have limited reference value for clinical indications of the choice of anesthesia type. According to the present clinical evidence, the selection of total intravenous anesthesia or inhalation anesthesia should be made according to the individualized situation of each patient. Limitations of all retrospective studies should also be considered when interpreting the results of the present study. First, we adopted the PS matching method, but selection bias in the choice of anesthesia type cannot be neglected. Second, the sample size of the present study was based on the data available during the study period rather than calculated in advance as in a prospective study. There exists the potential of an inadequate sample size and statistical power, which cannot detect a significant difference between the two anesthesia types. Third, recurrence type data were not completely collected in the present study. Therefore, the relationship of TIVA and IHA with recurrence type or recurrence-free survival outcomes was not analyzed. Finally, due to the limitations of the retrospective design, inflammatory markers were not measured, and we could not explain the relationship between the inflammatory response and types of anesthesia used for gastric cancer surgery.

Conclusions

In conclusion, combined with the results of previous studies, total intravenous anesthesia has been shown to be superior to inhalation anesthesia in terms of overall survival for gastric cancer patients undergoing surgical treatment. The selection of intravenous or inhalation anesthesia for gastric cancer surgery should take into account the long-term prognosis of the patient. Additional file 1: Supplementary Figure 1. Flow diagram of study selection (PRISMA format).
  29 in total

Review 1.  Anesthetics, immune cells, and immune responses.

Authors:  Shin Kurosawa; Masato Kato
Journal:  J Anesth       Date:  2008-08-07       Impact factor: 2.078

2.  Nomogram predicting long-term survival after d2 gastrectomy for gastric cancer.

Authors:  Dong-Seok Han; Yun-Suhk Suh; Seong-Ho Kong; Hyuk-Joon Lee; Yunhee Choi; Susumu Aikou; Takeshi Sano; Byung-Joo Park; Woo-Ho Kim; Han-Kwang Yang
Journal:  J Clin Oncol       Date:  2012-09-24       Impact factor: 44.544

3.  Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.

Authors:  Peter C Austin
Journal:  Pharm Stat       Date:  2011 Mar-Apr       Impact factor: 1.894

Review 4.  Influences of laparoscopic-assisted gastrectomy and open gastrectomy on serum interleukin-6 levels in patients with gastric cancer among Asian populations: a systematic review.

Authors:  Zhen-Bo Shu; Hai-Ping Cao; Yong-Chao Li; Li-Bo Sun
Journal:  BMC Gastroenterol       Date:  2015-04-28       Impact factor: 3.067

5.  Does the type of anesthesia really affect the recurrence-free survival after breast cancer surgery?

Authors:  Myoung Hwa Kim; Dong Wook Kim; Joo Heung Kim; Ki Young Lee; Seho Park; Young Chul Yoo
Journal:  Oncotarget       Date:  2017-09-18

6.  Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer.

Authors:  Katherine A Hoadley; Christina Yau; Toshinori Hinoue; Denise M Wolf; Alexander J Lazar; Esther Drill; Ronglai Shen; Alison M Taylor; Andrew D Cherniack; Vésteinn Thorsson; Rehan Akbani; Reanne Bowlby; Christopher K Wong; Maciej Wiznerowicz; Francisco Sanchez-Vega; A Gordon Robertson; Barbara G Schneider; Michael S Lawrence; Houtan Noushmehr; Tathiane M Malta; Joshua M Stuart; Christopher C Benz; Peter W Laird
Journal:  Cell       Date:  2018-04-05       Impact factor: 41.582

7.  Propofol-based total intravenous anesthesia did not improve survival compared to desflurane anesthesia in breast cancer surgery.

Authors:  Yi-Hsuan Huang; Meei-Shyuan Lee; Yu-Sheng Lou; Hou-Chuan Lai; Jyh-Cherng Yu; Chueng-He Lu; Chih-Shung Wong; Zhi-Fu Wu
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

8.  Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017: A Systematic Analysis for the Global Burden of Disease Study.

Authors:  Christina Fitzmaurice; Degu Abate; Naghmeh Abbasi; Hedayat Abbastabar; Foad Abd-Allah; Omar Abdel-Rahman; Ahmed Abdelalim; Amir Abdoli; Ibrahim Abdollahpour; Abdishakur S M Abdulle; Nebiyu Dereje Abebe; Haftom Niguse Abraha; Laith Jamal Abu-Raddad; Ahmed Abualhasan; Isaac Akinkunmi Adedeji; Shailesh M Advani; Mohsen Afarideh; Mahdi Afshari; Mohammad Aghaali; Dominic Agius; Sutapa Agrawal; Ayat Ahmadi; Elham Ahmadian; Ehsan Ahmadpour; Muktar Beshir Ahmed; Mohammad Esmaeil Akbari; Tomi Akinyemiju; Ziyad Al-Aly; Assim M AlAbdulKader; Fares Alahdab; Tahiya Alam; Genet Melak Alamene; Birhan Tamene T Alemnew; Kefyalew Addis Alene; Cyrus Alinia; Vahid Alipour; Syed Mohamed Aljunid; Fatemeh Allah Bakeshei; Majid Abdulrahman Hamad Almadi; Amir Almasi-Hashiani; Ubai Alsharif; Shirina Alsowaidi; Nelson Alvis-Guzman; Erfan Amini; Saeed Amini; Yaw Ampem Amoako; Zohreh Anbari; Nahla Hamed Anber; Catalina Liliana Andrei; Mina Anjomshoa; Fereshteh Ansari; Ansariadi Ansariadi; Seth Christopher Yaw Appiah; Morteza Arab-Zozani; Jalal Arabloo; Zohreh Arefi; Olatunde Aremu; Habtamu Abera Areri; Al Artaman; Hamid Asayesh; Ephrem Tsegay Asfaw; Alebachew Fasil Ashagre; Reza Assadi; Bahar Ataeinia; Hagos Tasew Atalay; Zerihun Ataro; Suleman Atique; Marcel Ausloos; Leticia Avila-Burgos; Euripide F G A Avokpaho; Ashish Awasthi; Nefsu Awoke; Beatriz Paulina Ayala Quintanilla; Martin Amogre Ayanore; Henok Tadesse Ayele; Ebrahim Babaee; Umar Bacha; Alaa Badawi; Mojtaba Bagherzadeh; Eleni Bagli; Senthilkumar Balakrishnan; Abbas Balouchi; Till Winfried Bärnighausen; Robert J Battista; Masoud Behzadifar; Meysam Behzadifar; Bayu Begashaw Bekele; Yared Belete Belay; Yaschilal Muche Belayneh; Kathleen Kim Sachiko Berfield; Adugnaw Berhane; Eduardo Bernabe; Mircea Beuran; Nickhill Bhakta; Krittika Bhattacharyya; Belete Biadgo; Ali Bijani; Muhammad Shahdaat Bin Sayeed; Charles Birungi; Catherine Bisignano; Helen Bitew; Tone Bjørge; Archie Bleyer; Kassawmar Angaw Bogale; Hunduma Amensisa Bojia; Antonio M Borzì; Cristina Bosetti; Ibrahim R Bou-Orm; Hermann Brenner; Jerry D Brewer; Andrey Nikolaevich Briko; Nikolay Ivanovich Briko; Maria Teresa Bustamante-Teixeira; Zahid A Butt; Giulia Carreras; Juan J Carrero; Félix Carvalho; Clara Castro; Franz Castro; Ferrán Catalá-López; Ester Cerin; Yazan Chaiah; Wagaye Fentahun Chanie; Vijay Kumar Chattu; Pankaj Chaturvedi; Neelima Singh Chauhan; Mohammad Chehrazi; Peggy Pei-Chia Chiang; Tesfaye Yitna Chichiabellu; Onyema Greg Chido-Amajuoyi; Odgerel Chimed-Ochir; Jee-Young J Choi; Devasahayam J Christopher; Dinh-Toi Chu; Maria-Magdalena Constantin; Vera M Costa; Emanuele Crocetti; Christopher Stephen Crowe; Maria Paula Curado; Saad M A Dahlawi; Giovanni Damiani; Amira Hamed Darwish; Ahmad Daryani; José das Neves; Feleke Mekonnen Demeke; Asmamaw Bizuneh Demis; Birhanu Wondimeneh Demissie; Gebre Teklemariam Demoz; Edgar Denova-Gutiérrez; Afshin Derakhshani; Kalkidan Solomon Deribe; Rupak Desai; Beruk Berhanu Desalegn; Melaku Desta; Subhojit Dey; Samath Dhamminda Dharmaratne; Meghnath Dhimal; Daniel Diaz; Mesfin Tadese Tadese Dinberu; Shirin Djalalinia; David Teye Doku; Thomas M Drake; Manisha Dubey; Eleonora Dubljanin; Eyasu Ejeta Duken; Hedyeh Ebrahimi; Andem Effiong; Aziz Eftekhari; Iman El Sayed; Maysaa El Sayed Zaki; Shaimaa I El-Jaafary; Ziad El-Khatib; Demelash Abewa Elemineh; Hajer Elkout; Richard G Ellenbogen; Aisha Elsharkawy; Mohammad Hassan Emamian; Daniel Adane Endalew; Aman Yesuf Endries; Babak Eshrati; Ibtihal Fadhil; Vahid Fallah Omrani; Mahbobeh Faramarzi; Mahdieh Abbasalizad Farhangi; Andrea Farioli; Farshad Farzadfar; Netsanet Fentahun; Eduarda Fernandes; Garumma Tolu Feyissa; Irina Filip; Florian Fischer; James L Fisher; Lisa M Force; Masoud Foroutan; Marisa Freitas; Takeshi Fukumoto; Neal D Futran; Silvano Gallus; Fortune Gbetoho Gankpe; Reta Tsegaye Gayesa; Tsegaye Tewelde Gebrehiwot; Gebreamlak Gebremedhn Gebremeskel; Getnet Azeze Gedefaw; Belayneh K Gelaw; Birhanu Geta; Sefonias Getachew; Kebede Embaye Gezae; Mansour Ghafourifard; Alireza Ghajar; Ahmad Ghashghaee; Asadollah Gholamian; Paramjit Singh Gill; Themba T G Ginindza; Alem Girmay; Muluken Gizaw; Ricardo Santiago Gomez; Sameer Vali Gopalani; Giuseppe Gorini; Bárbara Niegia Garcia Goulart; Ayman Grada; Maximiliano Ribeiro Guerra; Andre Luiz Sena Guimaraes; Prakash C Gupta; Rahul Gupta; Kishor Hadkhale; Arvin Haj-Mirzaian; Arya Haj-Mirzaian; Randah R Hamadeh; Samer Hamidi; Lolemo Kelbiso Hanfore; Josep Maria Haro; Milad Hasankhani; Amir Hasanzadeh; Hamid Yimam Hassen; Roderick J Hay; Simon I Hay; Andualem Henok; Nathaniel J Henry; Claudiu Herteliu; Hagos D Hidru; Chi Linh Hoang; Michael K Hole; Praveen Hoogar; Nobuyuki Horita; H Dean Hosgood; Mostafa Hosseini; Mehdi Hosseinzadeh; Mihaela Hostiuc; Sorin Hostiuc; Mowafa Househ; Mohammedaman Mama Hussen; Bogdan Ileanu; Milena D Ilic; Kaire Innos; Seyed Sina Naghibi Irvani; Kufre Robert Iseh; Sheikh Mohammed Shariful Islam; Farhad Islami; Nader Jafari Balalami; Morteza Jafarinia; Leila Jahangiry; Mohammad Ali Jahani; Nader Jahanmehr; Mihajlo Jakovljevic; Spencer L James; Mehdi Javanbakht; Sudha Jayaraman; Sun Ha Jee; Ensiyeh Jenabi; Ravi Prakash Jha; Jost B Jonas; Jitendra Jonnagaddala; Tamas Joo; Suresh Banayya Jungari; Mikk Jürisson; Ali Kabir; Farin Kamangar; André Karch; Narges Karimi; Ansar Karimian; Amir Kasaeian; Gebremicheal Gebreslassie Kasahun; Belete Kassa; Tesfaye Dessale Kassa; Mesfin Wudu Kassaw; Anil Kaul; Peter Njenga Keiyoro; Abraham Getachew Kelbore; Amene Abebe Kerbo; Yousef Saleh Khader; Maryam Khalilarjmandi; Ejaz Ahmad Khan; Gulfaraz Khan; Young-Ho Khang; Khaled Khatab; Amir Khater; Maryam Khayamzadeh; Maryam Khazaee-Pool; Salman Khazaei; Abdullah T Khoja; Mohammad Hossein Khosravi; Jagdish Khubchandani; Neda Kianipour; Daniel Kim; Yun Jin Kim; Adnan Kisa; Sezer Kisa; Katarzyna Kissimova-Skarbek; Hamidreza Komaki; Ai Koyanagi; Kristopher J Krohn; Burcu Kucuk Bicer; Nuworza Kugbey; Vivek Kumar; Desmond Kuupiel; Carlo La Vecchia; Deepesh P Lad; Eyasu Alem Lake; Ayenew Molla Lakew; Dharmesh Kumar Lal; Faris Hasan Lami; Qing Lan; Savita Lasrado; Paolo Lauriola; Jeffrey V Lazarus; James Leigh; Cheru Tesema Leshargie; Yu Liao; Miteku Andualem Limenih; Stefan Listl; Alan D Lopez; Platon D Lopukhov; Raimundas Lunevicius; Mohammed Madadin; Sameh Magdeldin; Hassan Magdy Abd El Razek; Azeem Majeed; Afshin Maleki; Reza Malekzadeh; Ali Manafi; Navid Manafi; Wondimu Ayele Manamo; Morteza Mansourian; Mohammad Ali Mansournia; Lorenzo Giovanni Mantovani; Saman Maroufizadeh; Santi Martini S Martini; Tivani Phosa Mashamba-Thompson; Benjamin Ballard Massenburg; Motswadi Titus Maswabi; Manu Raj Mathur; Colm McAlinden; Martin McKee; Hailemariam Abiy Alemu Meheretu; Ravi Mehrotra; Varshil Mehta; Toni Meier; Yohannes A Melaku; Gebrekiros Gebremichael Meles; Hagazi Gebre Meles; Addisu Melese; Mulugeta Melku; Peter T N Memiah; Walter Mendoza; Ritesh G Menezes; Shahin Merat; Tuomo J Meretoja; Tomislav Mestrovic; Bartosz Miazgowski; Tomasz Miazgowski; Kebadnew Mulatu M Mihretie; Ted R Miller; Edward J Mills; Seyed Mostafa Mir; Hamed Mirzaei; Hamid Reza Mirzaei; Rashmi Mishra; Babak Moazen; Dara K Mohammad; Karzan Abdulmuhsin Mohammad; Yousef Mohammad; Aso Mohammad Darwesh; Abolfazl Mohammadbeigi; Hiwa Mohammadi; Moslem Mohammadi; Mahdi Mohammadian; Abdollah Mohammadian-Hafshejani; Milad Mohammadoo-Khorasani; Reza Mohammadpourhodki; Ammas Siraj Mohammed; Jemal Abdu Mohammed; Shafiu Mohammed; Farnam Mohebi; Ali H Mokdad; Lorenzo Monasta; Yoshan Moodley; Mahmood Moosazadeh; Maryam Moossavi; Ghobad Moradi; Mohammad Moradi-Joo; Maziar Moradi-Lakeh; Farhad Moradpour; Lidia Morawska; Joana Morgado-da-Costa; Naho Morisaki; Shane Douglas Morrison; Abbas Mosapour; Seyyed Meysam Mousavi; Achenef Asmamaw Muche; Oumer Sada S Muhammed; Jonah Musa; Ashraf F Nabhan; Mehdi Naderi; Ahamarshan Jayaraman Nagarajan; Gabriele Nagel; Azin Nahvijou; Gurudatta Naik; Farid Najafi; Luigi Naldi; Hae Sung Nam; Naser Nasiri; Javad Nazari; Ionut Negoi; Subas Neupane; Polly A Newcomb; Haruna Asura Nggada; Josephine W Ngunjiri; 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Samira Raoofi; Goura Kishor Rath; David Laith Rawaf; Salman Rawaf; Robert C Reiner; Andre M N Renzaho; Nima Rezaei; Aziz Rezapour; Ana Isabel Ribeiro; Daniela Ribeiro; Luca Ronfani; Elias Merdassa Roro; Gholamreza Roshandel; Ali Rostami; Ragy Safwat Saad; Parisa Sabbagh; Siamak Sabour; Basema Saddik; Saeid Safiri; Amirhossein Sahebkar; Mohammad Reza Salahshoor; Farkhonde Salehi; Hosni Salem; Marwa Rashad Salem; Hamideh Salimzadeh; Joshua A Salomon; Abdallah M Samy; Juan Sanabria; Milena M Santric Milicevic; Benn Sartorius; Arash Sarveazad; Brijesh Sathian; Maheswar Satpathy; Miloje Savic; Monika Sawhney; Mehdi Sayyah; Ione J C Schneider; Ben Schöttker; Mario Sekerija; Sadaf G Sepanlou; Masood Sepehrimanesh; Seyedmojtaba Seyedmousavi; Faramarz Shaahmadi; Hosein Shabaninejad; Mohammad Shahbaz; Masood Ali Shaikh; Amir Shamshirian; Morteza Shamsizadeh; Heidar Sharafi; Zeinab Sharafi; Mehdi Sharif; Ali Sharifi; Hamid Sharifi; Rajesh Sharma; Aziz Sheikh; Reza Shirkoohi; Sharvari Rahul Shukla; Si Si; Soraya Siabani; Diego Augusto Santos Silva; Dayane Gabriele Alves Silveira; Ambrish Singh; Jasvinder A Singh; Solomon Sisay; Freddy Sitas; Eugène Sobngwi; Moslem Soofi; Joan B Soriano; Vasiliki Stathopoulou; Mu'awiyyah Babale Sufiyan; Rafael Tabarés-Seisdedos; Takahiro Tabuchi; Ken Takahashi; Omid Reza Tamtaji; Mohammed Rasoul Tarawneh; Segen Gebremeskel Tassew; Parvaneh Taymoori; Arash Tehrani-Banihashemi; Mohamad-Hani Temsah; Omar Temsah; Berhe Etsay Tesfay; Fisaha Haile Tesfay; Manaye Yihune Teshale; Gizachew Assefa Tessema; Subash Thapa; Kenean Getaneh Tlaye; Roman Topor-Madry; Marcos Roberto Tovani-Palone; Eugenio Traini; Bach Xuan Tran; Khanh Bao Tran; Afewerki Gebremeskel Tsadik; Irfan Ullah; Olalekan A Uthman; Marco Vacante; Maryam Vaezi; Patricia Varona Pérez; Yousef Veisani; Simone Vidale; Francesco S Violante; Vasily Vlassov; Stein Emil Vollset; Theo Vos; Kia Vosoughi; Giang Thu Vu; Isidora S Vujcic; Henry Wabinga; Tesfahun Mulatu Wachamo; Fasil Shiferaw Wagnew; Yasir Waheed; Fitsum Weldegebreal; Girmay Teklay Weldesamuel; Tissa Wijeratne; Dawit Zewdu Wondafrash; Tewodros Eshete Wonde; Adam Belay Wondmieneh; Hailemariam Mekonnen Workie; Rajaram Yadav; Abbas Yadegar; Ali Yadollahpour; Mehdi Yaseri; Vahid Yazdi-Feyzabadi; Alex Yeshaneh; Mohammed Ahmed Yimam; Ebrahim M Yimer; Engida Yisma; Naohiro Yonemoto; Mustafa Z Younis; Bahman Yousefi; Mahmoud Yousefifard; Chuanhua Yu; Erfan Zabeh; Vesna Zadnik; Telma Zahirian Moghadam; Zoubida Zaidi; Mohammad Zamani; Hamed Zandian; Alireza Zangeneh; Leila Zaki; Kazem Zendehdel; Zerihun Menlkalew Zenebe; Taye Abuhay Zewale; Arash Ziapour; Sanjay Zodpey; Christopher J L Murray
Journal:  JAMA Oncol       Date:  2019-12-01       Impact factor: 31.777

9.  Propofol-based total intravenous anesthesia is associated with better survival than desflurane anesthesia in robot-assisted radical prostatectomy.

Authors:  Hou-Chuan Lai; Meei-Shyuan Lee; Kuen-Tze Lin; Yi-Hsuan Huang; Jen-Yin Chen; Yao-Tsung Lin; Kuo-Chuan Hung; Zhi-Fu Wu
Journal:  PLoS One       Date:  2020-03-17       Impact factor: 3.240

10.  Japanese gastric cancer treatment guidelines 2018 (5th edition).

Authors: 
Journal:  Gastric Cancer       Date:  2020-02-14       Impact factor: 7.370

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  4 in total

Review 1.  Long-term oncological outcomes after oral cancer surgery using propofol-based total intravenous anesthesia versus sevoflurane-based inhalation anesthesia: A retrospective cohort study.

Authors:  Lingju Miao; Xiang Lv; Can Huang; Ping Li; Yu Sun; Hong Jiang
Journal:  PLoS One       Date:  2022-05-13       Impact factor: 3.240

2.  Volatile anesthesia versus propofol-based total intravenous anesthesia: A retrospective analysis of charts of patients who underwent elective digestive tract cancer curative surgeries.

Authors:  Ying Zhang; Fang Wang; Hui Zhang; Yulong Wei; Yanan Deng; Dezhi Wang
Journal:  Medicine (Baltimore)       Date:  2022-07-22       Impact factor: 1.817

3.  Comparing Different Anesthesia Methods on Anesthetic Effect and Postoperative Pain in Patients with Early Gastric Cancer during Endoscopic Submucosal Dissection.

Authors:  Jie Zhang; Yanlei Chen; Zhiwu Liu; Zhihao Pan
Journal:  J Oncol       Date:  2022-08-29       Impact factor: 4.501

Review 4.  Effects of Anesthesia and Anesthetic Techniques on Metastasis of Lung Cancers: A Narrative Review.

Authors:  Zhenghuan Song; Jing Tan
Journal:  Cancer Manag Res       Date:  2022-01-13       Impact factor: 3.989

  4 in total

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