Literature DB >> 34295185

Comparison of Outcomes After Breast Cancer Surgery Between Inhalational and Propofol-Based Intravenous Anaesthesia: A Systematic Review and Meta-Analysis.

Qian-Yun Pang1, Li-Ping Duan1, Yan Jiang1, Hong-Liang Liu1.   

Abstract

BACKGROUND: General anaesthesia is the commonly provided for breast cancer surgery, but the effects of inhalational anaesthesia and propofol-based intravenous anaesthesia on short- and long-term outcomes after breast cancer surgery are not clear. In this study, we conduct a meta-analysis of randomized controlled trials (RCTs) to explore the superior anaesthetic for breast cancer surgery patients.
METHODS: We searched the Embase, Medline, Cochrane Library, Web of Science, CNKI, and Wanfang databases (up to January, 2021) for RCTs in which inhalational anaesthesia and propofol-based intravenous anaesthesia were compared and short- and long-term outcomes were assessed in breast cancer surgical patients. The meta-analysis was performed by Stata 12.0.
RESULTS: Twenty RCTs with a total of 2201 patients were included. Compared with inhalational anaesthesia, propofol-based intravenous anaesthesia was associated with more postoperative rescue analgesia (I2 =0%, RR: 1.18, 95% CI: 1.07-1.30, P=0.001) but a lower incidence of postoperative nausea and vomiting (PONV) (I2 =25.5%, RR: 0.71, 95% CI: 0.62-0.81, P<0.001) and postoperative rescue antiemetics (I2 =0%, RR: 0.69, 95% CI: 0.58-0.82, P<0.001). Propofol-based intravenous anaesthesia preserved nature killer cell cytotoxicity (I2 =86.2%, SMD: 0.76, 95% CI: 0.13-1.39, P=0.018), decreased IL-6 level (I2 =98.0%, SMD: -3.09, 95% CI: -5.70- -0.48, P=0.021) and neutrophil-to-lymphocyte ratio (I2 =0%, SMD: -0.28, 95% CI: -0.53- -0.03, P=0.030), and increased 2-year recurrence-free survival rate (I2 =0%, RR: 1.10, 95% CI: 1.00-1.20, P=0.043) but did not affect recurrence or the overall survival rate (P>0.05).
CONCLUSION: Propofol-based intravenous anaesthesia increases postoperative rescue analgesia but reduces PONV compared with inhalational anaesthesia in breast cancer surgery. The benefit of propofol over inhalational anaesthetics in the preservation of anti-cancer immunity is obvious, but it is difficult to conclude that propofol can exert long-term benefits due to the small sample size.
© 2021 Pang et al.

Entities:  

Keywords:  analgesia; breast cancer; inhalational anaesthesia; outcome; propofol; surgery

Year:  2021        PMID: 34295185      PMCID: PMC8291825          DOI: 10.2147/JPR.S315360

Source DB:  PubMed          Journal:  J Pain Res        ISSN: 1178-7090            Impact factor:   3.133


Introduction

Breast cancer is one of the most common types of malignancy and is the leading cause of cancer mortality in women.1 Surgical excision is the principle treatment, but surgery-induced stress, anaesthetics, and opioids are factors that adversely influence postoperative recovery and anti-cancer immunity.2,3 General anaesthesia is the main technique for breast surgery, and it includes propofol-based intravenous anaesthesia and inhalational anaesthesia. It was shown that propofol-based intravenous anaesthesia was associated with lower postoperative pain intensity and analgesic consumption in abdominal, orthopaedic, gynaecological surgeries as well as neurosurgery in one meta-analysis,4 but the relationship between propofol and inhalational anaesthetics with postoperative pain outcomes in breast cancer surgery is unclear, and the results are conflicting according to previous studies.5–8 Acute postoperative pain, if not managed properly, can prolong the hospital stay, increase healthcare costs, delay recovery and even lead to chronic pain after breast surgery.9 Opioids are essential during breast surgery and provide analgesia for postoperative pain when necessary, but perioperative opioids can cause many side effects, including postoperative nausea and vomiting (PONV), pruritus and constipation; can inhibit cell-mediated immunity; and can exert potential adverse effects on long-term prognosis.10,11 Therefore, it is necessary and meaningful to elucidate how propofol-based intravenous anaesthesia and inhalational anaesthesia affect postoperative pain outcomes and opioid consumption in breast cancer surgery. It is known from basic studies that inhalational anaesthetics induce immunosuppression and promote cancer progression and metastasis, but propofol can not.12–14 It seems that propofol-based intravenous anaesthesia has an advantage over inhalational anaesthesia in the preservation of cell-mediated immunity and long-term prognosis in cancer patients. Some recent retrospective observational studies showed that there were no differences between the two anaesthesia methods in recurrence or recurrence-free survival in breast cancer.15,16 Thus, in this study, we conducted a meta-analysis, pooled the related results from prospective randomized controlled trials, and tried to determine the relationship between short- and long-term outcomes with propofol-based intravenous anaesthesia and inhalational anaesthesia in breast cancer surgery.

Methods

This meta-analysis was conducted in accordance with the recommendations from the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. There was no registered protocol.

Literature Search and Outcome

Databases (Embase, Medline, Cochrane Library, Web of Science, CNKI and Wanfang) were searched. The searched terms were intravenous anaesthesia, TIVA, propofol, propofol-based intravenous anaesthesia, inhalational anaesthesia, sevoflurane, desflurane, isoflurane, xenon, breast cancer, breast surgery, mastectomy and radical mastectomy. The literature search strategy in the Medline database is shown in . The references of related articles were also checked for any further potential eligible trials. The published languages included were English and Chinese. The search ended in January, 2021. The primary outcome was postoperative pain including postoperative rescue analgesia and VAS scores. The secondary outcomes were opioid consumption, PONV, immune function, and long-term prognosis.

Inclusion and Exclusion Criteria

The inclusion criteria were as follows: adult patients, elective surgeries for primary breast cancer in female patients, RCTs of inhalational anaesthesia versus propofol-based intravenous anaesthesia, and inclusion of the primary outcome with or without other outcomes included in the trials. The exclusion criteria were as follows: patients with chronic pain or a history of oral intake analgesics before surgery and studies comparing propofol combined with paravertebral block or epidural block with inhalational anaesthesia.

Data Extraction and Quality Assessment

Data extraction was performed following the predefined criteria by two authors (Pang QY and Duan LP). If necessary, data presented as medians were transferred to mean ± SD,17 and data shown in graphs were transformed to numbers using Plot-digitizer software. We also requested relevant information from the authors via email when necessary. Any discrepancy was resolved after discussion with another two researchers (Jiang Y and Liu HL). The risk of bias was checked by the modified Jadad score. The highest score was 7, and a study with a Jadad score greater than or equal to 4 was included. Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology was used to appraise the overall evidence- based quality of each outcome.

Statistical Analysis

Meta-analysis was conducted using Stata 12.0 software (STATA, College Station). The effect size for continuous data was expressed as the standard mean difference (SMD) with a 95% confidence interval (CI). The effect size for dichotomous outcomes was expressed as the risk ratio (RR) with 95% CI. The χ2test and the Ivalue were used to determine the level of heterogeneity; in the case of heterogeneity (P<0.1 or I≥ 50%), a random effect model was used, and subgroup analysis was performed whenever possible to identify the sources of heterogeneity and to test the robustness of uncertainty. In the case of homogeneity (P≥0.1 or I< 50%), a fixed effect model was used. Publication bias was evaluated using Egger’s test, and there was no significant publication bias if P>0.05. Trial sequential analysis (TSA) was conducted using TSA0.9.5.5 Beta software (); the required information size (RIS) was estimated using 0.05 for type 1 error, 0.20 for type 2 error, and the relative risk reduction from the control group event rate in low-bias-risk trials included in the meta-analysis. The TSA can be interpreted by viewing the boundaries and assessing whether the cumulative meta-analysis has crossed them.

Results

Literature Search and Retrieval

A total of 1210 articles were initially retrieved, and 20 RCTs with 2201 patients were eventually included in this meta-analysis. One RCT was from Europe, and the others were from Asia. Fourteen studies compared sevoflurane and propofol; 2 studies compared desflurane and propofol; 4 studies compared isoflurane and propofol. The characteristics and quality evaluation of the included RCTs are presented in Table 1, and the literature screening procedure is shown in Figure 1.
Table 1

Characteristics of the Trials

IDCountryGroup (Maintenance)Age (Years)*Postoperative AnalgesiaAntiemetic DrugOutcomesJadad Score
YanT5 2018ChinaProp+RF+Fen (n=40)Sev+RF+Fen (n=40)48.7±9.649.5±9.5Flurbiprofen+ Fen/ACG7
YanT6 2019ChinaProp+RF+Fen (n=42)Sev+Fen (n=38)49.0 (42.3–53.3)51.0 (43.5–62.0)Flurbiprofen+ Fen/ABCG5
ShirakamiG7 2006JapanProp+Fen (n=30)Sev (n=30)56 (51–61)58 (54–69)Flurbiprofen axetilMetoclopramideAB6
Li ZH8 2015ChinaProp+SF (n=70)Sev+SF (n=70)Prop+SF+Dexamethasone (n=70)Sev+SF+Dexamethasone (n=70)48.63±8.1348.74±8.2146.09±8.2648.87±7.48TramadolOndansetronABC5
Shin SW18 2010KoreaProp+RF(4ng/mL) (n=46)Sev+RF(4ng/mL) (n=42)Prop+RF(1ng/mL) (n=50)Sev+RF(1ng/mL) (n=48)50.4 (27–65)50.2 (33–64)47.8 (35–62)47.0 (33–63)Prop: morphineSev: morphineRamosetron 0.3 mgABC6
Oh CS19 2018KoreaProp+RF (n=99)Sev+RF (n=102)52 (45–58)52 (45–56)FenRamosetron 0.3mgACDEFG7
Cho JS20 2017KoreaProp+RF (n=24)Sev+RF (n=24)55.4±7.055.7±12.9Prop: ketorolacSev: FenRamosetron 0.3mgACDF6
Woo JH21 2015KoreaProp+Fen (n=20)Des+Fen (n=20)50.00±11.8350.45±9.37NSAIDs and tramadol/AC5
Oddby-MuhrbeckE22 1994SwedenProp+Fen (n=195)Iso+Fen (n=192)57±1059±6Morphine+Paracetomol+dextropropoxifenDixyrazin 5 mgABC5
Chen HP23 2013ChinaProp+Fen (n=42)Sev+Fen (n=42)51.17±9.0948.67±10.10Ketorolac/ABC7
Wang ZY24 2010ChinaProp+RF (n=30)Sev+NO (n=30)20–60Flurbiprofen axetilOndansetronAB4
Zhu JH25 2013ChinaProp+Fen (n=50)Sev (n=50)30–60//AB4
Hou XY26 2013ChinaProp+Fen (n=60)Sev+Fen (n=60)38–65//AB4
Yang DQ27 2012ChinaProp+Fen (n=50)Sev+Fen (n=50)38–65FenOndansetron 4mgAB4
Yi XF28 2013ChinaProp+Fen (n=40)Iso+Fen (n=40)60.3±7.561.4±9.1//AB4
Yang PC29 2015ChinaProp+Fen (n=54)Sev+Fen (n=53)60.3±1.661.3±0.5//AB4
CuiZ30 2017ChinaProp+SF (n=30)Des+SF (n=30)51±950±8Celecoxib/ABC4
Hu JY31 2017ChinaProp+Fen (n=30)Iso+Fen (n=30)49.3±2.850.2±3.1//ADE5
Wei PH32 2011ChinaProp (n=16)Iso (n=16)Prop+epidural (n=16)Iso+epidural (n=16)///AD4
Lim JA33 2018KoreaProp (n=23)Sev (n=21)52 (49–58)47 (45–53)Ketorolac/ACDE4

Notes: Age(year)*: expressed as mean±SD or median with quartile or the range of age. Prop: propofol; Fen: fentanyl; RF: remifentanil; SF: sulfentanyl; Sev: sevoflurane; Iso: isoflurane; Des: desflurane; A: postoperative pain outcomes; B: postoperative nausea and vomiting (PONV); C: intraoperative opioid consumption; D: Nature Killer cell cytotoxicity (NKCC); E: IL-6; F: neutrophil- to- lymphocyte ratio (NLR); G: long-term prognosis.

Figure 1

PRIMA flow diagram.

Characteristics of the Trials Notes: Age(year)*: expressed as mean±SD or median with quartile or the range of age. Prop: propofol; Fen: fentanyl; RF: remifentanil; SF: sulfentanyl; Sev: sevoflurane; Iso: isoflurane; Des: desflurane; A: postoperative pain outcomes; B: postoperative nausea and vomiting (PONV); C: intraoperative opioid consumption; D: Nature Killer cell cytotoxicity (NKCC); E: IL-6; F: neutrophil- to- lymphocyte ratio (NLR); G: long-term prognosis. PRIMA flow diagram.

Meta-Analysis results (TABLE 2)

Primary Outcome: Postoperative Pain Outcomes

Postoperative rescue analgesia Summary of Meta-Analysis Notes: PONV: postoperative nausea and vomiting; NKCC: Nature killer cell cytotoxicity; OS: overall survival; RFS: recurrence-free survival; RR: risk rate; CI: confidence interval; SMD: standard mean difference; GRADE: the Grading of Recommendations Assessment, Development and Evaluation. ⊕⊕⊝⊝: low quality evidence rating using the GRADE recommendations; ⊕⊕⊕⊝: moderate quality evidence rating using the GRADE recommendations. Data on the rate of postoperative rescue analgesia were obtained from 12 RCTs (n=1194).5–8,23–29,33 The fixed effect model showed that the rate of postoperative rescue analgesia in the propofol group was higher than that in the inhalational group (I2=0%, RR: 1.18, 95% CI: 1.07–1.30, P=0.001) (Figure 2), and no significant publication bias was found according to Egger’s test (P=0.717). TSA indicated that the sample size in the meta-analysis was higher than the required sample size (n=143).
Figure 2

Forest plot of postoperative rescue analgesia. Li ZH 2015(A)8: propofol vs sevoflurane; Li ZH 2015(B)8: propofol and dexamethasone vs sevoflurane and dexamethasone.

2. Postoperative VAS scores Forest plot of postoperative rescue analgesia. Li ZH 2015(A)8: propofol vs sevoflurane; Li ZH 2015(B)8: propofol and dexamethasone vs sevoflurane and dexamethasone. A total of 7 RCTs (n=635) reported the postoperative VAS scores at different time points.5,6,18–21,24 The random effect model showed that the VAS scores were not significantly different at 1–2 h (I2=90.7%, SMD: 0.05, 95% CI: −0.50–0.61, P=0.849) or 24 h (I=29.5%, SMD: −0.09, 95% CI: −0.29–0.10), P=0.652) postoperatively between the propofol and inhalational groups. There was no significant publication bias according to Egger’s test (P=0.353).

Secondary Outcomes

PONV Data on the incidence of PONV were obtained from 12 RCTs (n=1643).5,7,8,18,22,23,25–30 The results showed that the incidence of PONV was significantly lower in the propofol group than that in the inhalational group during 0–24 h (I2=43%, RR: 0.64, 95% CI: 0.47–0.88, P=0.005), 0–2 h (I2=63.5%, RR: 0.66, 95% CI: 0.47–0.91, P=0.012), 2–6 h (I2=0%, RR: 0.68, 95% CI: 0.55–0.85, P=0.001) but not during 6–12 h (I2=0%, RR: 0.81, 95% CI: 0.61–1.08, P=0.155) (Figure 3). However, publication bias existed according to Egger’s test (P=0.003). TSA indicated that the sample size for 0–2 h PONV was higher than the required sample size (n=603) but was lower than the required sample size for 0–24 h, 2–6 h, and 6–12 h.
Figure 3

Forest plot: comparison of the incidence of PONV between propofol and inhalational anesthesia. Shin SW 2010(A)18: propofol and remifentanil (4 ng/mL) vs sevoflurane and remifentanil (4 ng/mL); Shin SW 2010(B)18: propofol and remifentanil (1 ng/mL) vs sevoflurane and remifentanil (1 ng/mL); Li ZH 2015(A)8: propofol vs sevoflurane; Li ZH 2015(B)8: propofol and dexamethasone vs sevoflurane and dexamethasone.

Forest plot: comparison of the incidence of PONV between propofol and inhalational anesthesia. Shin SW 2010(A)18: propofol and remifentanil (4 ng/mL) vs sevoflurane and remifentanil (4 ng/mL); Shin SW 2010(B)18: propofol and remifentanil (1 ng/mL) vs sevoflurane and remifentanil (1 ng/mL); Li ZH 2015(A)8: propofol vs sevoflurane; Li ZH 2015(B)8: propofol and dexamethasone vs sevoflurane and dexamethasone. Eight RCTs (n=812) reported postoperative rescue antiemetics.7,18,24–29 The fixed effect model showed that the rate of postoperative rescue antiemetics was lower in the propofol group than in the inhalational group (I2=0%, RR: 0.69, 95% CI: 0.58–0.82, P<0.001) (Figure 4), and no significant publication bias was found according to Egger’s test (P=0.979). TSA indicated that the sample size in the meta-analysis was higher than the required sample size (n=392).
Figure 4

Forest plot of postoperative rescue antiemetics. Shin SW 2010(A):18 propofol and remifentanil (4 ng/mL) vs sevoflurane and remifentanil (4 ng/mL); Shin SW 2010(B)18 propofol and remifentanil (1 ng/mL) vs sevoflurane and remifentanil (1 ng/mL).

2. Intraoperative opioid consumption Forest plot of postoperative rescue antiemetics. Shin SW 2010(A):18 propofol and remifentanil (4 ng/mL) vs sevoflurane and remifentanil (4 ng/mL); Shin SW 2010(B)18 propofol and remifentanil (1 ng/mL) vs sevoflurane and remifentanil (1 ng/mL). Seven RCTs (n=812) reported intraoperative opioid consumption, of which, 3 RCTs8,21,23 and 4 RCTs7,18–20 reported the consumption of fentanyl or remifentanil. The subgroup analysis showed that there were no significant differences between groups in fentanyl (I2=31.6%, SMD:0.03, 95% CI: −0.17–0.22, P=0.785) or remifentanil consumption (I2=42.6%, SMD: −0.15, 95% CI: −0.33–0.03, P=0.097). Publication bias existed according to Egger’s test (P=0.034). 3. Immune function (Figure 5)
Figure 5

Forest plot of immune function.

Forest plot of immune function. Data on immune function were obtained from 5 RCTs (n=417), of which, 519,20,31–33, 319,31,33 and 2 RCTs19,20 reported NK cell cytotoxicity (NKCC), IL-6 levels and the NLR respectively. The results showed that NKCC was higher in the propofol group than in the inhalational group (I2=86.2%, SMD: 0.76, 95% CI: 0.13–1.39, P=0.018). The IL-6 level (I2=98.0%, SMD: −3.09, 95% CI: −5.7– −0.48, P=0.021) and NLR (I2=0%, SMD: −0.28, 95% CI: −0.53– −0.03, P=0.030) were lower in the propofol group than in the inhalational group. There was no significant publication bias according to Egger’s test (P=0.731). 4. Long-term prognosis: recurrence, OS, and RFS Data on long-term prognosis were obtained from only 3 RCTs (n=208).5,6,20 The fixed effect model showed that the 2 year- RFS rate was significantly higher in the propofol group than that in the inhalational group (I2=0%, RR: 1.10, 95% CI: 1.00–1.20, P=0.043). There were no significant between-group differences in the 2 year-recurrence (I2=43.5%, RR: 0.72, 95% CI: 0.27–1.93, P=0.515) or 2 year-OS rate (I2=0%, RR: 1.06, 95% CI: 0.96–1.16, P=0.243) (Figure 6). There was no significant publication bias according to Egger’s test (P=0.634). TSA showed that the required sample size for RFS, recurrence, OS, was 321, 1444, 860, respectively, and the sample size in this meta-analysis was much smaller than the required sample size.
Figure 6

Forest plot of long-term outcomes: 2-year recurrence, OS and RFS rates.

Forest plot of long-term outcomes: 2-year recurrence, OS and RFS rates.

Discussion

This meta-analysis recruited 20 RCTs that compared propofol-based intravenous anaesthesia and inhalational anaesthesia in terms of postoperative pain outcomes and showed that propofol was associated with higher postoperative rescue analgesia, but the intraoperative opioid consumption and postoperative pain scores were not different between the two anaesthesia methods. As few of the included trials compared postoperative analgesic consumption, and the raw data were difficult to achieve, the evidence of postoperative analgesic consumption could not be pooled in this meta-analysis. Inhalational anaesthetic suppress sensory afferent input at clinically related concentrations,34 and propofol can reduce neuronal firing at the spinal dorsal horn following noxious stimuli.35,36 However, the clinical evidence from this meta-analysis indicated a benefit of inhalational anaesthesia in alleviating postoperative pain, which conflicted with one earlier meta-analysis in which 39 RCTs were included and only one focused on breast cancer surgery.4 The pooled results showed that propofol reduced postoperative pain intensity, opioid consumption, and rescue analgesia compared with inhalational anaesthesia. The discrepancy might be that the evidence was from different surgical types, and the pain sensitivities were dependent on the type and location of the surgeries. The incidence of PONV can reach 75% after breast cancer surgery without antiemetics, and approximately 20% of patients still develop PONV even after receiving antiemetic prophylaxis.37 In this study, the incidence of PONV and rescue antiemetics were lower after propofol-based intravenous anaesthesia. Propofol has an antiemetic effect and can reduce PONV by 30–45%.38 However, different kinds of analgesics were used to rescue postoperative pain, and different kinds of antiemetics were administered to reduce PONV in those RCTs, which might influence the results. Propofol anaesthesia reduced IL-6 levels after breast cancer surgery as shown in the results of this meta-analysis. IL-6 is closely related to the progression and metastasis of breast cancer,39 it facilitates breast cancer cells to produce matrix metallo proteinases (MMPs), and it increases the progression of tumour entities.40 It was reported that targeted IL-6 silencing could reduce the invasion and migration of breast cancer cells.41 NK cells area critical part of cell-mediated immunity and are the main defence against cancer cell propagation.42 It is known that reduced NKCC is associated with poor prognosis in breast cancer.43 The evidence in this study revealed that propofol-based intravenous anaesthesia could preserve NKCC, which was consistent with experimental studies that showed inhalational anaesthetics suppressed NKCC, while propofol did not.44,45 In this study, the NLR was lower after propofol anaesthesia than after inhalational anaesthesia. A high NLR is considered an adverse prognostic indicator for breast cancer.46 Propofol provided a more protective effect against NLR increases than inhalational anaesthetics. Overall, the pooled results of the effects of propofol and inhalational anaesthetics on IL-6, NKCC, and the NLR indicated that propofol could exert a potential beneficial effect on long-term prognosis after breast cancer surgery. Evidence from 3 RCTs in this meta-analysis showed that propofol was associated with a higher recurrence-free survival rate after breast surgery,5,6,20 but could not reduce recurrence or the overall survival rate. A recent large multicentre RCT (n=2108) from 13 hospital (from Argentina, Austria, China, Germany, Ireland, New Zealand, Singapore, the USA, et al) showed that propofol/paravertebral anaesthesia could not reduce long-term recurrence compared with sevoflurane/opioid anaesthesia in breast cancer surgery,47 but some retrospective studies showed the advantage of propofol-based intravenous anaesthesia over inhalational anaesthesia in reducing long-term recurrence and metastasis.48,49 Different populations have variations of sensitivities to propofol and volatile anesthetics, which is probably due to genetic differences and differences in lifestyle.50 The inconsistency between the results on long-term survival from our meta-analysis and from the previous retrospective studies might be, the populations in our meta-analysis are from China and South Korea, and the sample size is relatively small, so that the results from our meta-analysis are too low to say anything about the long-term outcome. Therefore, it is necessary to conduct a large and international multicentre RCT to verify the potential protective effect of propofol-based intravenous anaesthesia on long-term prognosis. There are some limitations in this meta-analysis. First, few studies reported postoperative analgesic consumption, and it was difficult to pool the related results for the comparison between propofol-based intravenous anaesthesia and inhalational anaesthesia. Second, only 3 RCTs compared long-term outcomes;5,6,20 the patients were from eastern Asian countries, the sample size was small, and the follow-up time was relatively short. Third, heterogeneity existed in some of the results, so biases cannot be ignored in the meta-analysis. Forth, most of the included RCTs were conducted in Asian countries, as different populations are differently sensitive to propofol and volatile anesthetics, probably modified by both genetic differences and differences in lifestyle, so that the results might not be generalizable. More multinational RCTs need to be done in the near future.

Conclusions

Propofol-based intravenous anaesthesia increases postoperative rescue analgesia in breast cancer surgery and reduces PONV compared with inhalation anaesthesia; the benefit of propofol in the preservation of anti-cancer immunity is obvious over inhalational anaesthetics, but it is difficult to conclude that propofol can exert long-term beneficial effects, and the evidence in this regard should be anticipated from large multinational RCTs.
Table 2

Summary of Meta-Analysis

IDOutcomesStudy (References)Number of PatientsI2RR(95% CI)SMD(95% CI)P valueGrade
1Postoperative analgesic rescue5–8,23–29,3311500%1.18 (1.07–1.30)/0.001Low⊕⊕⊝⊝
2VAS score1–2h5,6,18,19,2460790.7%/0.05 (−0.50–0.61)0.849Low⊕⊕⊝⊝
24h5,6,18–2144929.5%/−0.09 (−0.29–0.10)0.345Moderate ⊕⊕⊕⊝
3PONV0–24h5,7,8,18,22,23,29118343%0.64 (0.47–0.88)/0.005Low⊕⊕⊝⊝
0–2h8,25–3084663.5%0.66 (0.47–0.91)/0.012Low⊕⊕⊝⊝
2–6h25–295060%0.68 (0.55–0.85)/0.001Low⊕⊕⊝⊝
6–12h25–295060%0.81 (0.61–1.08)/0.155Low⊕⊕⊝⊝
4Postopertaive antiemetic rescue7,18,24–298120%0.69 (0.58–0.82)/<0.001Moderate⊕⊕⊕⊝
5Intraoperative opioid consumptionfentanyl8,21,2340431.6%/0.03 (−0.17–0.22)0.785Low⊕⊕⊝⊝
remifentanil7,18–2049542.6%/−0.15 (−0.33–0.03)0.097Low⊕⊕⊝⊝
6Immune functionNKCC19,20,31–3341786.2%/0.76 (0.13–1.39)0.018low⊕⊕⊝⊝
IL-619,31,3330598.0%/−3.09 (−5.70– −0.48)0.021Low⊕⊕⊝⊝
NLR19,202490%/−0.28 (−0.53– −0.03)0.030Low⊕⊕⊝⊝
7Long-term prognosisRecurrence5,6,2020843.5%0.72 (0.27–1.93)/0.515Low⊕⊕⊝⊝
OS5,6,202080%1.06 (0.96–1.16)/0.243Low⊕⊕⊝⊝
RFS5,6,202080%1.10 (1.00–1.20)/0.043Low⊕⊕⊝⊝

Notes: PONV: postoperative nausea and vomiting; NKCC: Nature killer cell cytotoxicity; OS: overall survival; RFS: recurrence-free survival; RR: risk rate; CI: confidence interval; SMD: standard mean difference; GRADE: the Grading of Recommendations Assessment, Development and Evaluation. ⊕⊕⊝⊝: low quality evidence rating using the GRADE recommendations; ⊕⊕⊕⊝: moderate quality evidence rating using the GRADE recommendations.

  39 in total

1.  Is the antiemetic effect of the emulsion formulation of propofol due to the lipid emulsion?

Authors:  P L Ostman; E Faure; B Glosten; M Kemen; M K Robert; S Bedwell
Journal:  Anesth Analg       Date:  1990-11       Impact factor: 5.108

Review 2.  Inflammation and cancer.

Authors:  Lisa M Coussens; Zena Werb
Journal:  Nature       Date:  2002 Dec 19-26       Impact factor: 49.962

3.  Relationship between fentanyl dosage and immune function in the postoperative period.

Authors:  Israel Z Yardeni; Benzion Beilin; Eduard Mayburd; Yifat Alcalay; Hanna Bessler
Journal:  J Opioid Manag       Date:  2008 Jan-Feb

4.  IL-6/NOS2 inflammatory signals regulate MMP-9 and MMP-2 activity and disease outcome in nasopharyngeal carcinoma patients.

Authors:  Ahmed-Amine Zergoun; Abderezak Zebboudj; Sarah Leila Sellam; Nora Kariche; Djamel Djennaoui; Samir Ouraghi; Esma Kerboua; Zine-Charaf Amir-Tidadini; Dalia Chilla; Fatima Asselah; Chafia Touil-Boukoffa; Taha Merghoub; Mehdi Bourouba
Journal:  Tumour Biol       Date:  2015-10-09

Review 5.  Natural Killer Cell Immunomodulation: Targeting Activating, Inhibitory, and Co-stimulatory Receptor Signaling for Cancer Immunotherapy.

Authors:  Cariad Chester; Katherine Fritsch; Holbrook E Kohrt
Journal:  Front Immunol       Date:  2015-12-02       Impact factor: 7.561

6.  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

7.  Effects of anesthetic technique and surgery on myeloid-derived suppressor cells and prognosis in women who underwent breast cancer surgery: a prospective study.

Authors:  Tao Yan; Guo-Hua Zhang; Yao-Zhong Cheng; Lin-Xin Wu; Xiao-Yan Liu; Yu-Lin Sun; Hui Zheng; Li Sun
Journal:  Cancer Manag Res       Date:  2019-06-18       Impact factor: 3.989

Review 8.  Effects of surgery and anesthetic choice on immunosuppression and cancer recurrence.

Authors:  Ryungsa Kim
Journal:  J Transl Med       Date:  2018-01-18       Impact factor: 5.531

9.  The effect of propofol and sevoflurane on cancer cell, natural killer cell, and cytotoxic T lymphocyte function in patients undergoing breast cancer surgery: an in vitro analysis.

Authors:  Jeong-Ae Lim; Chung-Sik Oh; Tae-Gyoon Yoon; Ji Yeon Lee; Seung-Hyun Lee; Young-Bum Yoo; Jung-Hyun Yang; Seong-Hyop Kim
Journal:  BMC Cancer       Date:  2018-02-07       Impact factor: 4.430

10.  Effects of propofol/remifentanil-based total intravenous anesthesia versus sevoflurane-based inhalational anesthesia on the release of VEGF-C and TGF-β and prognosis after breast cancer surgery: a prospective, randomized and controlled study.

Authors:  Tao Yan; Guo-Hua Zhang; Bao-Na Wang; Li Sun; Hui Zheng
Journal:  BMC Anesthesiol       Date:  2018-09-22       Impact factor: 2.217

View more
  4 in total

1.  Effect of Different General Anesthesia Methods on the Prognosis of Patients with Breast Cancer after Resection: A Systematic Review and Meta-analysis.

Authors:  Rui Lv; Chunli Zhang; Yuyuan Huang; Peng Xiao
Journal:  Comput Math Methods Med       Date:  2022-06-28       Impact factor: 2.809

2.  Antitumorigenic Effect of Tramadol and Synergistic Effect With Doxorubicin in Human Breast Cancer Cells.

Authors:  Yi-Hsuan Huang; Sung-How Sue; Zih-Syuan Wu; Shih-Ming Huang; Shih-Yu Lee; Zhi-Fu Wu
Journal:  Front Oncol       Date:  2022-01-26       Impact factor: 6.244

3.  Contralateral Pneumonectomy 27 Years After Right Single-Lung Transplantation for Emphysema: A Case Report.

Authors:  Georges Boulos; Raoul Schorer; Wolfram Karenovics; Frédéric Triponez; Benoit Bedat; Marc-Joseph Licker
Journal:  Am J Case Rep       Date:  2022-08-02

Review 4.  Mechanisms of Cancer Inhibition by Local Anesthetics.

Authors:  Yiguo Zhang; Yixin Jing; Rui Pan; Ke Ding; Rong Chen; Qingtao Meng
Journal:  Front Pharmacol       Date:  2021-12-07       Impact factor: 5.810

  4 in total

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