Literature DB >> 28732026

Investigation of opioid use and long-term oncologic outcomes for non-small cell lung cancer patients treated with surgery.

Tak Kyu Oh1, Jae Hyun Jeon2, Jong Mog Lee2, Moon Soo Kim2, Jee Hee Kim3, Hyeyeon Cho3, Seong-Eun Kim4, Woosik Eom3.   

Abstract

Opioids are commonly used for postoperative pain control in cancer patients. In addition to pain control, an association between opioid use and long-term oncologic outcomes, such as recurrence or overall survival, has been postulated. The aim of this study was to determine whether postoperative opioid use in patients with non-small cell lung cancer is associated with long-term oncologic outcomes, including recurrence and death. Data obtained from 1009 medical records of patients who underwent curative resection at the National Cancer Center, Korea between January 2006 and December 2010 were retrospectively analyzed. Seven-day opioid use was divided into four quartiles to analyze probability of recurrence and death. Multivariate regression analyses of recurrence and death was conducted, including the calculation of odds ratios. A total of 871 patients were analyzed. When opioid dosage was examined by quartiles, the probability of death and recurrence increased gradually with increasing opioid use. However, in the multivariate regression analysis, the amount of opioid usage did not affect the risk of recurrence or death of lung cancer (P = 0.520 for recurrence; P = 0.659 for death). Opioid use was correlated with outcome when stratified by lung cancer stage (P = 0.004 for recurrence; P = 0.049 for death); however, the odds ratios only slightly increased (1.001 for stage IA-IIIA) for both outcomes. In non-small cell lung cancer patients, the amount of opioid usage does not affect the risk of recurrence and death of lung cancer. There was an association with stage (IA-IIIA), but the effect was negligible. A well-designed prospective study is needed.

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Year:  2017        PMID: 28732026      PMCID: PMC5521798          DOI: 10.1371/journal.pone.0181672

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Lung cancer is one of the most common cancers worldwide. Non-small cell lung cancer (NSCLC) accounts for approximately 80% of all diagnosed lung cancers [1]. Surgical management is a potentially curative option that can ensure long-term survival of patients with early stage NSCLC. Even in selected patients with advanced stage NSCLC, such as N2 disease, multimodal treatment including surgical resection is performed with curative intent [2]. However, even after curative resection of NSCLC, long-term survival is observed in less than 50% of patients, and recurrence occurs in 33.1% of patients within the median 2-year follow-up [3]. Opioids are the most frequently used analgesics during the intraoperative and postoperative periods. Opioids reduce the activity of natural killer (NK) cells and may contribute to the recurrence and metastasis of cancer cells through immunosuppression [4]. In addition, opioids exhibit pro-tumoral effects that enhance cancer cell growth via vascular endothelial growth factor [5, 6]. Based on these past reports, retrospective studies have been conducted to analyze the relationship between opioid use in patients with NSCLC and cancer recurrence rates. Studies have reported an association between cancer recurrence and the variation in the dosage of intraoperative and postoperative opioids [7, 8]. However, the precise effects of opioids on cancer recurrence are still controversial in clinical practice [9, 10]. Therefore, it is necessary to study whether postoperative opioid use is associated with long-term oncologic outcomes such as recurrence or death. In this study, we aimed to investigate the difference in postoperative recurrence and survival in NSCLC patients according to opioid usage. We hypothesized that opioid use would increase the risk of recurrence or death in NSCLC patients according to stage.

Methods

Patient data

This retrospective cohort analysis was approved by the Institutional Review Board of the National Cancer Center in Korea (NCC2015-0297). Electronic medical records of patients diagnosed with NSCLC who underwent elective surgical resection between January 1, 2006 and December 31, 2010 were used for the analysis. Patients aged 18–85 years with a final pathological diagnosis of stage IA, IB, IIA, IIB or IIIA NSCLC who underwent a lobectomy, bilobectomy, or sleeve lobectomy were included in this study. A single-lobe resection with additional sublobar resection was considered a lobectomy. The exclusion criteria were as follows: 1) death from postoperative complications within 1 month of surgery, 2) the need for revision surgery within 1 week of surgery, 3) incomplete electronic medical records with respect to opioid use, 4) occurrence of a different primary cancer within 5 years of surgery, 5) loss to follow-up within 5 years after surgery, 6) intraoperative conversion to pneumonectomy or sublobar resection, and 7) preoperative opioid use. The following patient data were collected: gender, age, height, weight, preoperative forced expiratory volume 1, Charlson Comorbidity Index score, histological tumor type, recurrence type, smoking history, neoadjuvant and adjuvant chemotherapy, American Society of Anesthesiologists score, operation type, epidural analgesia, and cancer stage, including tumor, lymph node, and metastasis stage based on the American Joint Committee on Cancer 7th cancer staging system. Based on a previous study, recurrence in the surgical resection margin, ipsilateral hilum, and/or mediastinum was classified as locoregional recurrence, and all other recurrences involving the contralateral hilum and supraclavicular fossa were considered distant metastases [11]. Anatomic pulmonary resection and mediastinal lymph node dissection were performed as either minimally invasive surgery (video-assisted thoracic surgery [VATS] or Robot-assisted) or standard posterolateral thoracotomy. Minimally invasive surgery was performed under direct monitor-vision without rib spreading. Standard posterolateral thoracotomy was performed by the same surgical team after dividing the latissimus dorsi muscle and preserving the serratus anterior muscle. In addition, anesthesiologists administered sevoflurane as the surgical inhalation anesthetic using a standardized anesthetic technique. During surgery, continuous infusion of opioids, including remifentanil, was not performed. As patients who underwent a lobectomy were discharged from the hospital after a minimum of 6 days following the surgery at the National Cancer Center in Korea, data of intraoperative and 6-day postoperative opioid use were combined. In general, patients used patient-controlled analgesia (PCA) until postoperative day (POD) 3. When using the epidural PCA, 0.1875% ropivacaine and 20 mg of epidural morphine were used. For intravenous PCA, 100 mL or 200 mL mixed regimens that included 0.5 mg of morphine and 15 μg of fentanyl per mL were used. During and after use of epidural PCA and intravenous PCA, additional intravenous and oral opioids were used depending on the patient’s complaints of pain. These amounts were converted to equianalgesic doses of oral morphine by using a standardized conversion ratio and then combined for the total opioid dose (S1 Table) [12, 13]. The primary outcome of this study was recurrence or death after surgery in each stage of NSCLC. All data were fully anonymized by medical records technicians at the National Cancer Center, Korea, and the Institutional Review Board waived the requirement for informed consent due to the retrospective study design.

Statistical analysis

To review any relationship between each covariate and opioid usage, we performed a univariate analysis. In that analysis, we applied one-way ANOVA for continuous covariates and Pearson’s chi-square test for categorical covariates on opioid use categorized by quartiles. From the previous analysis, sets of covariates satisfying P < 0.1 were selected and included in the multivariate model for adjustment. We used multivariate logistic regression analysis with consideration for a clinically plausible interaction to estimate the association of opioid usage with recurrence of lung cancer and death due to lung cancer. In the multivariate logistic regression model, we adjusted for the selected covariates from the univariate analysis. Throughout the analysis, P < 0.05 was considered statistically significant.

Results

In total, 1009 patients with NSCLC met the inclusion criteria for this study. A further 138 patients were excluded from the final analysis of the study, including 25 who died of postoperative complications within 1 month of surgery, 10 who underwent incomplete resection, 28 who were diagnosed with additional primary cancer in other locations within 5 years after surgery, 35 who were lost to follow-up within 5 years of surgery, 2 who underwent an intraoperative conversion to pneumonectomy, and 38 with incomplete medical records. As a result, 871 patients were included in the final analyses. Table 1 gives information about all of the covariates for opioid usage categorized by quartiles [Q1 (first quartile) = 819.0; Q2 (median) = 1359.6; Q3 (third quartile) = 2148.0], including their differences. Among the sets of covariates selected from the univariate analysis in Table 1 satisfying p-values less than 0.1, only clinically important covariates were considered in the multivariate logistic regression model. The following variables were included in the multivariate logistic regression model: gender, age, height, weight, Charlson Comorbidity Index score, histological type, receipt of adjuvant chemotherapy, operation type I (lobectomy, bilobectomy, and sleeve lobectomy), operation type II (VATS or Robot-assisted and Open thoracotomy), receipt of epidural analgesia, tumor stage, and nodal involvement.
Table 1

Demographics and baseline characteristics for opioid groups by quartiles.

VariableOpioid < Q1Q1 ≤ Opioid < Q2Q2 ≤ Opioid < Q3Opioid ≥ Q3P-value
N = 213N = 222N = 218N = 218
Gender (%)< .0001
Male122 (57.28)167 (75.23)167 (76.61)172 (78.90)
Female91 (42.72)55 (24.77)51 (23.39)46 (21.10)
Age (years)0.1596
Mean (SD)62.75 (9.76)63.51 (8.69)62.12 (9.19)61.58 (9.86)
Height (cm)< 0.0001
Mean (SD)161.2 (8.17)164.1 (7.10)163.8 (7.93)164.2 (7.30)
Weight (kg)0.0007
Mean (SD)60.36 (9.91)63.72 (9.57)63.84 (10.68)62.99 (9.67)
Preoperative FEV1 (L)0.7223
Mean (SD)2.35 (0.61)2.36 (0.63)2.36 (0.62)2.41 (0.63)
Charlson Comorbidity Index score0.0024
Mean (SD)2.25 (0.49)2.45 (0.67)2.44 (0.68)2.40 (0.59)
Type of Recurrence (%)< 0.0001
No recurrence159 (34.05)128 (27.41)93 (19.91)87 (18.63)
Locoregional13 (12.26)22 (20.75)31 (29.25)40 (37.74)
Distant metastasis41 (13.76)72 (24.16)94 (31.54)91 (30.54)
Histological type (%)0.0044
SqCC67 (31.46)104 (46.85)99 (45.41)95 (43.58)
AdenoCA127 (59.62)105 (47.30)96 (44.04)98 (44.95)
Other NSCLCs19 (8.92)13 (5.86)23 (10.55)25 (11.47)
History of Smoking (%)0.0005
Yes122 (57.28)158 (71.17)154 (70.64)163 (74.77)
No91 (42.72)64 (28.83)64 (29.36)55 (25.23)
Neoadjuvant CTx (%)0.2020
Yes10 (4.69)5 (2.25)4 (1.83)10 (4.59)
No203 (95.31)217 (97.75)214 (98.17)208 (95.41)
Adjuvant CTx (%)< .0001
Yes53 (24.88)88 (39.64)88 (40.37)106 (48.62)
No160 (75.12)134 (60.36)130 (59.63)112 (51.38)
ASA class (%)0.0486
I70 (32.86)49 (22.07)49 (22.48)55 (25.23)
II138 (64.79)164 (73.87)155 (71.10)156 (71.56)
III5 (2.35)9 (4.05)14 (6.42)7 (3.21)
Operation Type I (%)0.1221
Lobectomy192 (25.98)188 (25.44)183 (24.76)176 (23.82)
Bilobectomy11 (15.49)18 (25.35)16 (22.54)26 (36.62)
Sleeve lobectomy10 (16.39)16 (26.23)19 (31.15)16 (26.23)
Operation Type II (%)< .0001
VATS or robot110 (51.64)95 (42.79)69 (31.65)62 (28.44)
Open103 (48.36)127 (57.21)149 (68.35)156 (71.56)
Combined Epidural Anesthesia (%)< .0001
Yes134 (62.91)142 (63.96)148 (67.89)207 (94.95)
No79 (37.09)80 (36.04)70 (32.11)11 (5.05)
Stage (%)< .0001
IA73 (39.25)53 (28.49)34 (18.28)26 (13.98)
IB54 (24.00)55 (24.44)60 (26.67)56 (24.89)
IIA38 (25.68)39 (26.35)35 (23.65)36 (24.32)
IIB15 (15.79)26 (27.37)26 (27.37)28 (29.47)
IIIA33 (15.21)49 (22.58)63 (29.03)72 (33.18)
Tumor (%)0.0026
T1a55 (36.18)42 (27.63)25 (16.45)30 (19.74)
T1b31 (30.39)27 (26.47)27 (26.47)17 (16.67)
T2a82 (22.97)87 (24.37)94 (26.33)94 (26.33)
T2b22 (22.22)25 (25.25)20 (20.20)32 (32.32)
T322 (14.57)39 (25.83)48 (31.79)42 (27.81)
T41 (0.00)2 (0.01)4 (0.02)3 (0.01)
Node (%)0.0003
N0 or N1154 (72.30)142 (63.96)125 (57.34)117 (53.67)
N235 (16.43)51 (22.97)54 (24.77)47 (21.56)
N324 (11.27)29 (13.06)39 (17.89)54 (24.77)

P-value by One-Way ANOVA or Pearson's chi-square test as appropriate.

Other NSCLCs: Large cell type, Sarcomatoid type

Q1 (the first quartile) = 819.0; Q2 (median) = 1359.6; Q3 (the third quartile) = 2148.0

SD, Standard Deviation; FEV1, forced expiratory volume 1; SqCC, Squamous Cell Carcinoma; NSCLC, Non-Small Cell Lung Cancer; CTx, Chemotherapy; ASA, American Society of Anesthesiologists; VATS, Video-Assisted Thoracic surgery; SqCC: squamous cell carcinoma; AdenoCA, adenocarcinoma

P-value by One-Way ANOVA or Pearson's chi-square test as appropriate. Other NSCLCs: Large cell type, Sarcomatoid type Q1 (the first quartile) = 819.0; Q2 (median) = 1359.6; Q3 (the third quartile) = 2148.0 SD, Standard Deviation; FEV1, forced expiratory volume 1; SqCC, Squamous Cell Carcinoma; NSCLC, Non-Small Cell Lung Cancer; CTx, Chemotherapy; ASA, American Society of Anesthesiologists; VATS, Video-Assisted Thoracic surgery; SqCC: squamous cell carcinoma; AdenoCA, adenocarcinoma Without adjusting for the selected covariates, we examined the proportions of recurrence and death over all stages of lung cancer (Figs 1A, 1B, 2A and 2B). Regardless of stage, the proportions of recurrence and death increased with higher opioid usage. However, for stage Ia, the proportions of both recurrence and death showed extreme variations (Figs 1B and 2B).
Fig 1

Proportions of overall (a) and stage-specific (b) recurrence in opioid usage groups by quartiles. Q1 (first quartile) = 819.0; Q2 (median) = 1359.6; Q3 (third quartile) = 2148.0.

Fig 2

Proportions of overall (a) and stage-specific (b) death on opioid usage groups by quartiles. Q1 (first quartile) = 819.0; Q2 (median) = 1359.6; Q3 (third quartile) = 2148.0.

Proportions of overall (a) and stage-specific (b) recurrence in opioid usage groups by quartiles. Q1 (first quartile) = 819.0; Q2 (median) = 1359.6; Q3 (third quartile) = 2148.0. Proportions of overall (a) and stage-specific (b) death on opioid usage groups by quartiles. Q1 (first quartile) = 819.0; Q2 (median) = 1359.6; Q3 (third quartile) = 2148.0. Table 2 shows that the amount of opioid usage did not affect the risk of either recurrence or death from lung cancer (P = 0.5206 for recurrence; P = 0.6597 for death). However, when analyzed according to lung cancer stage, the effect of opioids was correlated to outcome (P = 0.004 for recurrence; P = 0.049 for death). Table 3 presents the odds ratios (ORs) of recurrence and death for 1 unit of opioid usage increase across all stages of lung cancer. While the ORs for the recurrence of lung cancer at stages IA, IB, and IIA were significantly different with a 1-unit opioid usage increase, the values were barely over 1.001 at 1.002. We might conclude there is no risk of recurrence or death from lung cancer caused by opioid usage across all stages. Similarly, the ORs of death due to lung cancer might not be affected by opioid usage for all stages.
Table 2

Parameters estimated in the multivariate logistic regression model.

RecurrenceDeath
EffectDFWald Chi-SquareP-valueEffectDFWald Chi-SquareP-value
Opioid Dose10.41280.520Opioid Dose10.19390.659
Gender10.75960.383Gender11.48350.223
Age (years)114.1015< 0.001Age (years)111.2553< 0.001
Weight (kg)13.28200.070Weight (kg)16.52980.010
Height (cm)10.07780.780Height (cm)10.86720.351
Charlson Comorbidity Index score112.5445< 0.001Charlson Comorbidity Index score123.3209< 0.0001
Histological type22.14750.341Histological type22.60950.271
Adjuvant CTx14.85150.027Adjuvant CTx111.3244< 0.001
Operation type I20.56860.752Operation type I21.15390.561
Operation type II11.25050.263Operation type II10.08980.764
Epidural11.90900.167Epidural14.22080.039
Stage45.83120.212Stage418.6972< 0.001
Tumor513.30370.020Tumor57.58190.180
Node28.24350.016Node20.79930.670
Dose*Stage415.13340.004Dose*Stage49.53780.049

Operation Type I: Lobectomy, Bilobectomy, and Sleeve Lobectomy, Operation Type II: Video-Assisted Thoracic Surgery, Robot-Assisted or Open Thoracotomy, CTx, Chemotherapy

Table 3

Odds ratios of recurrence and death for 1 unit opioid usage increase over all cancer stage.

RecurrenceDeath
Odds RatioEstimate95% Confidence LimitsP-valueOdds RatioEstimate95% Confidence LimitsP-value
Stage IA1.0011.0011.0010.0041Stage IA1.0011.0001.0010.0105
Stage IB1.0011.0001.0010.0243Stage IB1.0011.0001.0010.0317
Stage IIA1.0011.0011.0020.0006Stage IIA1.0001.0001.0010.1774
Stage IIB1.0011.0001.0010.1210Stage IIB1.0011.0001.0010.0363
Stage IIIA1.0001.0001.0000.5206Stage IIIA1.0001.0001.0000.6597
Operation Type I: Lobectomy, Bilobectomy, and Sleeve Lobectomy, Operation Type II: Video-Assisted Thoracic Surgery, Robot-Assisted or Open Thoracotomy, CTx, Chemotherapy Fig 3A and 3B show the estimated ORs of recurrence and death across all stages after adjusting the covariates in the model. Variables related to recurrence were the Charlson Comorbidity Index score, adjuvant chemotherapy, tumor stage, and node stage (Fig 4A). The variables related to the risk of death were the Charlson Comorbidity Index score, adjuvant chemotherapy, and epidural analgesia (Fig 4B).
Fig 3

Odds ratios of recurrence (a) and death (b) for 1 unit opioid usage increment over all the stages.

Fig 4

Odds ratios of recurrence (a) and death (b) for all covariates. Others*: Large cell type, sarcomatoid type; CTx, Chemotherapy; VATS, Video-Assisted Thoracic Surgery.

Odds ratios of recurrence (a) and death (b) for 1 unit opioid usage increment over all the stages. Odds ratios of recurrence (a) and death (b) for all covariates. Others*: Large cell type, sarcomatoid type; CTx, Chemotherapy; VATS, Video-Assisted Thoracic Surgery.

Discussion

Our study showed that opioid use was not an independent risk factor for either recurrence or death in patients with NSCLC. Moreover, despite opioid use showing correlation to outcome when stratified by cancer stage, the ORs were close to 1 (1.000–1.001) for all covariates. Our study showed negative results regarding the association of opioid use after lung cancer surgery with recurrence or death. This is consistent with a previous study that opioid use during surgery in lung cancer is not associated with recurrence-free survival [7]. Furthermore, our study was characterized by the use of multivariate regression analysis to calculate all opioid use for a total of 7 days up to POD 0–6, which is a relatively long period of opioid use compared to previous studies [7, 8]. The lung contains the largest percentage of NK cells among the peripheral organs [14], and the postoperative period is known as the ‘decisive period,’ when NK cell-mediated immunity suppresses emerging lung cancer metastasis [15, 16]. Based on these assumptions, a previous study by Maher et al. [8] reported that a group of 99 recurrent patients who underwent VATS lung cancer surgery had greater postoperative opioid use than the non-recurrent group. Interestingly, this study also found an association between total opioid use and lung cancer recurrence with a hazard ratio of 1.003 (95% CI 1.000–1.006, P = 0.04), similar to that seen in our study [8]. The differences between our study and that by Maher et al. [8] are that we had a higher percentage of open thoracotomy than VATS, calculated the opioid usage over a longer postoperative period of time (POD 0–6), and included more advanced stages (up to stage IIIA). Despite these differences, the final ORs were similar between the two studies. An important issue in our study was the relatively high opioid dose administered (median: 1359.6 mg of oral morphine equivalent). The administration of opioids in the study by Maher et al. [8] up to 96 hours post-surgery was 124 mg in the non-recurrence group and 232 mg in the recurrence group, which was much lower than that in our study. There are three reasons for this. First, our study included only patients who underwent surgery between 2006 and 2010 and were followed-up for at least 5 years. During this period, our hospital had a higher rate of open thoracotomy than VATS. In fact, 61.4% (535/871) of patients underwent open thoracotomy. Therefore, direct comparisons with the study of Maher et al. [8], who included only VATS patients, is challenging. A second consideration is that our study covered the use of opioids during the intraoperative period and the 6-day postoperative period, for a total of 7 days of hospitalization. This is a much longer time period (168 hours) than those in other studies [7, 8], such as the study by Maher et al., which was limited to 96 hours. Furthermore, anesthesiologists in our hospital actively used opioids for “balanced anesthesia” during surgery to effectively anesthetize patients, since thoracotomy is accompanied by severe pain. Finally, we calculated the opioid injected through the epidural route by adding it to the intravenous opioids. This was based on the result of a previous study in which epidural opioids were eventually removed by systemic circulation through Cerebrospinal fluid [17]. Our study has attempted to include all operations performed with open thoracotomy (bilobectomy, sleeve lobectomy, lobectomy) for a relatively longer period than previous studies. Therefore, relatively more opioids were administered than in other studies. Postoperative complications are another important issue, as their absence can result in improved long-term survival after cancer surgery [18]. Although a negative effect of postoperative complications on cancer recurrence was observed in patients with esophageal cancer [19], the direct relationship between recurrence and postoperative complications is still controversial. In our study, patients who experienced surgical complications used more opioids compared to those who did not, which could be a confounding factor. To avoid any effects from this confounding factor, we excluded patients who died of postoperative complications within 1 month. However, further prospective studies are needed to clarify the relationship between postoperative complications and cancer recurrence. Finally, this study examined the effect of opioids on lung cancer stage. In previous studies [7, 8], opioid use was associated with long-term oncologic outcome in early stage NSCLC, with our study showing fewer correlations in stage IIB and IIIA. However, another study reported that opioid use was an independent predictor of survival in advanced NSCLC patients [20]. Although this study was not in the postoperative setting [20], it remains unclear whether the use of opioids is clinically relevant to patients with NSCLC. Therefore, further studies are needed. Our study has several limitations. First, as a retrospective study, there were patients with incomplete medical records who had to be excluded from the final analysis. Second, opioids were administered via three different methods (intravenous, epidural, and oral), requiring a conversion of oral morphine to equianalgesic doses. Moreover, the accuracy of this conversion ratio is unclear, especially with the use of opioids with longer biological half-lives or higher dosages [21, 22]. Furthermore, although epidural opioids are removed from the patient’s cerebrospinal fluid via the systemic circulation [17], there is no accurate study comparing the pro-tumoral effects of epidural and systemic opioids. Third, as mentioned above, postoperative complications were not considered as factors affecting recurrence after surgery. Fourth, a follow-up time of 5 years could be insufficient to evaluate the risk of recurrence after surgery. Finally, there was a lack of homogeneity in the target population, and there could have been some confounding factors, such as aggressive tumors and extensive resection (e.g., chest wall and sleeve), which could have resulted in unavoidable selection bias. However, this allowed us to analyze not only patients with early-stage NSCLC, but also those with advanced stage disease, as well as those who underwent open thoracotomies. Despite these limitations, our study is one of the first studies, to the best of our knowledge, to show an effect of postoperative opioid use on recurrence and survival based on NSCLC stage (IA–IIIA). In conclusion, intraoperative and postoperative use of opioid does not affect the risk of recurrence or death due to lung cancer. There was also an association with stage (IA–IIIA), but the effect was negligible. A well-designed prospective study is needed to examine the effect of decreasing opioid use on long-term oncologic outcome in patients with NSCLC.

Equianalgesic opioid conversion table.

All equianalgesic doses are given relative to the equivalent dose of 10 mg of oral morphine. (DOCX) Click here for additional data file.
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Review 7.  Perioperative Inflammatory Response and Cancer Recurrence in Lung Cancer Surgery: A Narrative Review.

Authors:  Hoon Choi; Wonjung Hwang
Journal:  Front Surg       Date:  2022-07-11

8.  The Effect of Intraoperative Fentanyl Consumption on Prognosis of Colorectal Liver Metastasis treated by Simultaneous Resection: A Propensity Score Matching Analysis.

Authors:  Yizhou Zhang; Qichen Chen; Xiao Chen; Mingzhu Zhang; Peng Li; Zhen Huang; Hong Zhao; Hongliang Wu
Journal:  J Cancer       Date:  2022-08-29       Impact factor: 4.478

Review 9.  Anaesthesia as an influence in tumour progression.

Authors:  Jadie Plücker; Naita M Wirsik; Alina S Ritter; Thomas Schmidt; Markus A Weigand
Journal:  Langenbecks Arch Surg       Date:  2021-02-01       Impact factor: 3.445

Review 10.  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

  10 in total

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