Literature DB >> 35280418

Textbook outcome after minimally invasive esophagectomy is an important prognostic indicator for predicting long-term oncological outcomes with locally advanced esophageal squamous cell carcinoma.

Shao-Jun Xu1,2,3, Lan-Qin Lin4, Chao Chen1,2,3, Ting-Yu Chen1,2,3, Cheng-Xiong You1,2,3, Rui-Qin Chen1,2,3, Cristian Deana5, Connor J Wakefield6, Joseph B Shrager7,8, Daniela Molena9, Chi-Fu Jeffrey Yang10, Ji-Hong Lin1,2,3, Shu-Chen Chen1,2,3.   

Abstract

Background: The textbook outcome (TO) emerges as a novel prognostic factor in surgical oncology. The present study aimed to evaluate the effect of TO on the risk of death and recurrence in patients with esophageal squamous cell carcinoma (ESCC) after minimally invasive esophagectomy (MIE).
Methods: The study involved retrospective analysis of 528 patients with ESCC who were subjected to MIE from January 2011 to December 2017. TO included 8 parameters: complete resection; microscopically tumor-negative resection margins (R0); ≥15 lymph nodes removed and examined; no serious postoperative complications; no postoperative intervention; no re-admission to the intensive care unit (ICU); hospital stay ≤21 days; and no readmission ≤30 days. The Cox and logistic regression model were used to analyze the prognostic factors of survival and risk factors for TO.
Results: Among the 528 patients with ESCC who were subjected to MIE, 53.2% reached TO. In the case of patients with locally advanced ESCC, 5-year overall survival (OS) was 51.1% (41.2-61.2%) for the TO group but 33.7% (23.7-43.7%) for the non-TO group (HR =0.644, 95% CI: 0.449-0.924, P=0.015). Similarly, 5-year disease-free survival (DFS) was 47.6% (38.0-57.2%) for the TO group but 29.1% (20.1-38.1%) for the non-TO group (HR =0.671, 95% CI: 0.479-0.940, P=0.018). In addition, 5-year recurrence-free survival (RFS) was 62.9% (53.7-72.1%) for the TO group but 39.8% (29.4-50.2%) for the non-TO group (HR =0.606, 95% CI: 0.407-0.902, P=0.012). Multivariate logistic regression analysis further showed that age, American Society of Anesthesiology (ASA) score, intraoperative blood loss, and smoking status acted as independent risk factors for TO. The results of the multivariate analysis assisted in the establishment of a nomogram for the prediction of TO occurrence. This nomogram exhibited satisfactory consistency and prediction ability [area under the receiving operator characteristic (AUROC) =0.717]. Conclusions: The present study showed that achieving of TO after MIE improves survival rate and reduce the recurrence rate in patients with locally advanced ESCC. The study further determined the independent factors associated with TO achievement and established a prediction model. 2022 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Textbook outcome (TO); esophageal squamous cell carcinoma (ESCC); nomogram; prognosis

Year:  2022        PMID: 35280418      PMCID: PMC8908120          DOI: 10.21037/atm-22-506

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

Esophageal cancer is one of the most common digestive tract cancers in the world, ranking seventh with regard to incidence and sixth with regard to cancer-related mortality (1). Esophageal squamous cell carcinoma (ESCC) is the most common type of esophageal cancer (2). Currently used treatment methods for ESCC include neoadjuvant radiotherapy and chemotherapy, open or minimally invasive esophagectomy (MIE), and postoperative adjuvant therapy (3-7). Although multimodal treatment is known to have a significant impact on the outcomes of patients with ESCC, there is still high rates of associated morbidity and mortality (8). Thus, there is a need to investigate which clinical factors are associated with improved overall survival (OS) and oncologic outcomes in patients with ESCC. In recent years, certain studies have shown that postoperative complications of MIE, such as anastomotic leakage, greatly affect the prognosis in these patients (9-11). As a result, people gradually realize that in addition to the factors of the tumor itself, the perioperative medical quality also has a far-reaching impact on the long-term survival of patients (12). However, for patients with esophageal cancer, it is not enough to use a single discrete method to evaluate surgical effects on different individuals. In 2011, Busweiler et al. proposed a comprehensive method to measure the quality of upper gastrointestinal tumor surgery, which was termed the textbook outcome (TO). The TO includes 10 short-term indicators of surgical outcome from operation to discharge: radical resection according to the surgeon at the end of surgery, absence of any intraoperative complications, microscopically tumor-negative resection margins (R0), removal and examination of ≥15 lymph nodes, absence of any serious postoperative complications, absence of postoperative intervention, no re-admission to the intensive care unit (ICU), a hospital stay ≤21 days, no death postoperation(≤30 days), and no readmission after discharge (13). Many studies have previously shown that patients with gastric and esophageal cancer who reach TO represent ideal surgical clinical outcomes. Additionally, such patients also experience a significantly reduced future risk of death (14,15). In comparison to open esophagectomy (OE), MIE is considered to accelerate perioperative recovery in patients without affecting the long-term prognosis of the tumor (16-18). In the past few years, there has been significant development in MIE, leading to its wide use in clinics and its gradual replacement of traditional OE. Recent studies have suggested that MIE itself optimizes the quality of surgery and increases the possibility of achieving TO. When MIE was included as one of the parameters of TO, the combined TO resulted in significant improvement in the OS rate of patients with cancer (19,20). Therefore, it is important to investigate the prognostic value of TO in patients with ESCC who are treated with MIE. The present study aimed to evaluate the impact of achieving TO on the outcomes of patients with ESCC who underwent MIE. In addition, the factors related to TO were identified to facilitate the development of a model that could predict the occurrence of achieving TO. We present the following article in accordance with the STROBE reporting checklist (available at https://atm.amegroups.com/article/view/10.21037/atm-22-506/rc).

Methods

This retrospective study was approved by the ethics committee of the Fujian Medical University Union Hospital (No. 2020KJT086), and all patients provided signed informed consent. The study was conducted in accordance with the Declaration of Helsinki Declaration (as revised in 2013).

Study design and population

This study retrospectively analyzed patients with ESCC who were treated at the Fujian Medical University Union Hospital from January 2011 to December 2017. The patient inclusion criteria were as follows: (I) pathologically confirmed ESCC (stages I–IVa); (II) underwent MIE; (III) no neoadjuvant radiotherapy or chemotherapy before operation; (IV) complete clinical information and follow-up data; and (V) no multiple primary cancers. The patient selection flow chart is illustrated in Figure S1. A total of 528 consecutive patients with ESCC were included for analysis. According to MIE outcome, the patients were divided into 2 groups, namely a TO group (281 patients, 53.2%) and a non-TO group (247 patients, 46.8%). The patients’ clinical data were collected from these populations, including clinical and pathological parameters, surgical procedure, lymphadenectomy, postoperative adjuvant treatment, and follow-up information. The pathological diagnosis and staging were based on the TNM classification system of the 8th edition of the American Joint Commission on Cancer (AJCC) (21). All the patients included in this study were pathologically diagnosed with ESCC after undergoing MIE, including complete minimally invasive and mixed minimally invasive methods. The standard procedures were right thoracic esophagectomy, posterior mediastinal or retrosternal gastric tube reconstruction, cervical incision, or intrathoracic anastomosis. The postoperative follow-up examinations included physical examination, blood biochemical examination, and imaging examination. In the first 2 years, the examinations were conducted every 3–6 months and thereafter every 6 months for 5 years. After 5 years, the examinations were performed once a year. When disease relapse was suspected, this was confirmed by computed tomography (CT) or endoscopy. The OS was defined as the time from the date of operation to death from any cause or the last follow-up. Disease-free survival (DFS) was defined as the time from the date of operation to death due to recurrence or other causes. Recurrence-free survival (RFS) was defined as the time from the date of operation to local or distant recurrence.

Definitions

The original Dutch Upper Gastrointestinal Cancer Audit (DUCA) definition of TO includes 10 features (13). Our TO included 8 parameters: complete resection according to the surgeons at the end of the surgery; microscopically tumor-negative resection margins (R0); ≥15 lymph nodes removed and examined; no serious postoperative complications; no postoperative intervention; no re-admission to the ICU after operation; hospital stay ≤21 days; and no readmission ≤30 days after discharge. When all the parameters were met, the requirements of TO were also met. According to the Clavien–Dindo classification, postoperative complications ≥ grade II indicated serious complications.

Statistical analysis

A t-test or a Mann-Whitney U test was performed to analyze the continuous variables. The classification variables of clinical features were tested using the Chi-square test or Fisher’s exact test. According to MIE outcome, the patients were divided into a TO and a non-TO group. Sankey analysis was performed to visualize the proportion of different parameters of TO and the relationship between TO and recurrence and death. The independent influencing factors of OS, DFS, and RFS were determined by univariate and multivariate analyses of the Cox proportional hazard regression model. Kaplan-Meier was applied to the survival curve, while a logarithmic rank test was used to compare the survival rate between the 2 groups. A logistic regression analysis was applied to determine the factors influencing the possibility of TO occurrence, and the results of multiple factors were used to establish a nomogram so as to predict the realization of TO and to test the nomogram internally by Harrell’s concordance index (C-index) and calibration curves. IBM SPSS version 25.0 (IBM Corp., Armonk, NY, USA) and R version 3.5.1 (The R Foundation for Statistical Computing, Vienna, Austria) were used for the statistical analyses. P<0.05 was considered statistically significant.

Results

Clinical and pathological features

The study involved a total of 528 patients with ESCC, with a median follow-up period of 53 months (range, 22–100 months). On univariate analysis, significant differences were recorded between the TO and non-TO groups in terms of American Society of Anesthesiology (ASA) score, T stage, intraoperative blood loss, and smoking status. However, no significant differences were recorded in operation year, age, sex, body mass index (BMI), tumor location, tumor grade, N stage, TNM stage, surgical procedure, lymphadenectomy, or postoperative adjuvant therapy (P>0.05; ).
Table 1

Characteristics of the participants in the TO and non-TO cohorts

CharacteristicsTO (N=281), n (%)Total (N=528), n (%)Non-TO (N=247), n (%)P value
Period0.895
   2011–201268 (24.2)132 (25.0)64 (25.9)
   2013–201484 (29.9)155 (29.4)71 (28.7)
   2015–2017129 (45.9)241 (45.6)112 (45.3)
Age0.052
   ≤65236 (84)427 (80.9)191 (77.3)
   >6545 (16)101 (19.1)56 (22.7)
Sex0.141
   Female204 (72.6)131 (24.8)54 (21.9)
   Male77 (27.4)397 (75.2)193 (78.1)
ASA score<0.001
   I–II276 (98.2)456 (86.4)180 (72.9)
   III–IV5 (1.8)72 (13.6)67 (27.1)
BMI (kg/m2)0.3
   ≤18.536 (12.8)60 (11.4)24 (9.7)
   18.5–25210 (74.7)393 (74.4)183 (74.1)
   ≥2535 (12.5)75 (14.2)40 (16.2)
Tumor location0.656
   Proximal23 (8.2)48 (9.1)25 (10.1)
   Mid183 (65.1)345 (65.3)162 (65.6)
   Distal75 (26.7)135 (25.6)60 (24.3)
Histologic grade0.751
   Gx/G1119 (42.3)229 (43.4)110 (44.5)
   G2137 (48.8)256 (48.5)119 (48.2)
   G325 (8.9)43 (8.1)18 (7.3)
T stage0.007
   T189 (31.7)141 (26.7)52 (21.1)
   T253 (18.9)94 (17.8)41 (16.6)
   T3138 (49.1)287 (54.4)149 (60.3)
   T4a1 (0.4)6 (1.1)5 (2.0)
N stage0.623
   N0152 (54.1)280 (53.0)128 (51.8)
   N161 (21.7)123 (23.3)62 (25.1)
   N254 (19.2)103 (19.5)49 (19.8)
   N314 (5.05)22 (4.2)8 (3.2)
TNM stage0.228
   I87 (31.0)145 (27.5)58 (23.5)
   II76 (27.0)150 (28.4)74 (30.0)
   III104 (37.0)209 (39.6)105 (42.5)
   IVA14 (5.0)24 (4.5)10 (4.0)
Surgical procedure0.506
   McKeown245 (87.2)63 (11.9)220 (89.1)
   Ivor Lewis36 (12.8)465 (88.1)27 (10.9)
Lymphadenectomy0.69
   Two-field250 (89.0)467 (88.4)217 (87.9)
   Three-field31 (11.0)61 (11.6)30 (12.1)
Intraoperative bleeding (mL)0.007
   ≤100180 (64.1)310 (58.7)130 (52.6)
   100–20088 (31.3)180 (34.1)92 (37.2)
   >20013 (4.6)38 (7.2)25 (10.1)
Smoking history0.008
   No139 (49.5)233 (44.1)94 (38.1)
   Yes142 (50.5)295 (55.9)153 (61.9)
Adjuvant chemotherapy0.969
   No137 (48.8)257 (48.7)120 (48.6)
   Yes144 (51.2)271 (51.3)127 (51.4)

TO, textbook outcome; ASA, American Society of Anesthesiology; BMI, body mass index.

TO, textbook outcome; ASA, American Society of Anesthesiology; BMI, body mass index.

TO after MIE of ESCC

The scores for each quality index were calculated for the patients. In particular, 99.8% (527/528) of patients underwent radical resection according to the surgeon at the end of surgery, 99.4% (525/528) received microscopically tumor-negative resection margins (R0), 94.8% (501/528) received dissection ≥15 lymph node, 98.7% (522/528) did not require admission to the ICU after the operation, 89.6% (473/528) did not require further intervention after the operation, 89.0% (470/528) had a postoperative hospital stay ≤21 days, 56.1% (296/528) showed no serious complications, and 98.3% had no recorded readmission after the operation. The limiting factors for TO included lymph node dissection, postoperative intervention, postoperative hospital stay, and postoperative complications. Importantly, a total of 281 patients with ESCC achieved all 8 quality indicators, and 53.2% of the patients achieved TO ().
Figure 1

The cumulative incidence of TO in patients with ESCC after MIE and the number of patients with each surgical quality parameter. The bar indicates the number of patients who met each criterion; the broken line represents the cumulative percentage of patients who have achieved TO. TO, textbook outcome; ESCC, esophageal squamous cell carcinoma; MIE, minimally invasive esophagectomy; ICU, intensive care unit; MCU, medium care unit.

The cumulative incidence of TO in patients with ESCC after MIE and the number of patients with each surgical quality parameter. The bar indicates the number of patients who met each criterion; the broken line represents the cumulative percentage of patients who have achieved TO. TO, textbook outcome; ESCC, esophageal squamous cell carcinoma; MIE, minimally invasive esophagectomy; ICU, intensive care unit; MCU, medium care unit.

Survival analysis

For patients with ESCC in the TO group, 5-year OS was 68.1% (61.8–74.4%), 5-year DFS was 63.2% (56.9–69.5%), and 5-year RFS was 73.5% (67.6–79.4%). However, for the non-TO group, 5-year OS, 5-year DFS, and 5-year RFS were 56.2% (49.1–63.3%), 50.4% (43.3–57.5%), and 61.8% (54.9–68.7%), respectively. Altogether, OS, DFS, and RFS were found to be significantly better in the TO group than those in the non-TO group (P<0.05; ).
Figure 2

Kaplan-Meier survival curves of OS, DFS, and RFS for patients who underwent MIE for ESCC. TO, textbook outcome; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival; MIE, minimally invasive esophagectomy; ESCC, esophageal squamous cell carcinoma.

Kaplan-Meier survival curves of OS, DFS, and RFS for patients who underwent MIE for ESCC. TO, textbook outcome; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival; MIE, minimally invasive esophagectomy; ESCC, esophageal squamous cell carcinoma. The association of TO status with oncologic outcomes were evaluated in patients with early (I–II) and locally advanced (III–IVA) ESCC were analyzed. No significant differences were recorded in OS, DFS, or RFS between the TO and non-TO groups in patients with early ESCC (). However, in the case of patients with locally advanced ESCC, 5-year OS was 51.1% (41.2–61.2%) for the TO group but 33.7% (23.7–43.7%) for the non-TO group (HR =0.644, 95% CI: 0.449–0.924, P=0.015). Similarly, 5-year DFS was 47.6% (38.0–57.2%) for the TO group but 29.1% (20.1–38.1%) for the non-TO group (HR =0.671, 95% CI: 0.479–0.940, P=0.018). In addition, 5-year RFS was 62.9% (53.7–72.1%) for the TO group but 39.8% (29.4–50.2%) for the non-TO group (HR =0.606, 95% CI: 0.407–0.902, P=0.012). Patients with locally advanced ESCC who reached TO conditions exhibited a reduction in risk of death by 35.5% and a reduction in risk of recurrence by 39.4% ().
Figure 3

Kaplan-Meier survival curves stratified by early stages (A-C) and locally advanced stages (D-F). TO, textbook outcome; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival.

Kaplan-Meier survival curves stratified by early stages (A-C) and locally advanced stages (D-F). TO, textbook outcome; OS, overall survival; DFS, disease-free survival; RFS, recurrence-free survival. The dynamic display function of the Sankey plot was used to show the relationship between the 8 quality indices that affect TO and death and recurrence in patients with locally advanced ESCC. As shown in , the majority of patients given the status of “Alive” belonged to the TO group (58.9%) who met all 8 indicators, while only 41.1% of the “Alive” patients belonged to the non-TO group. Similarly, the “no recurrence” status was mainly given to patients belonging to the TO group (58.3%), while the non-TO group accounted for only 41.7% of “no recurrence” patients ().
Figure 4

The Sankey graph dynamically illustrates the flow relationship between TO and the 8 different indicators and that between TO and the final prediction results. (A) TO flows to the survival outcome; (B) TO flows to the recurrence outcome. TO, textbook outcome; OS, overall survival; RFS, recurrence-free survival; ICU, Intensive care unit; MCU, medium care unit.

The Sankey graph dynamically illustrates the flow relationship between TO and the 8 different indicators and that between TO and the final prediction results. (A) TO flows to the survival outcome; (B) TO flows to the recurrence outcome. TO, textbook outcome; OS, overall survival; RFS, recurrence-free survival; ICU, Intensive care unit; MCU, medium care unit.

TO as a protective factor in patients with ESCC

Univariate Cox regression analysis was used to further evaluate the clinicopathological factors that affect the prognosis of patients with ESCC. The analysis showed that age, ASA score, TNM stage, intraoperative blood loss, and TO were significant prognostic factors for OS. Multivariate Cox analysis showed that age (>65 vs. ≤65 years: HR =1.542, 95% CI: 1.099–2.163, P=0.012), TNM stage (IVA vs. I: HR =13.733, 95% CI: 6.812–27.685, P<0.001; III vs. I: HR =6.094, 95% CI: 3.483–10.662, P<0.001; II vs. I: HR =3.022, 95% CI: 1.655–5.518, P<0.001), and intraoperative blood loss (≥200 vs. ≤100 mL: HR =1.925, 95% CI: 1.179–3.143, P=0.009; 100–200 vs. ≤100 mL: HR =1.230, 95% CI: 0.896–1.688, P=0.200) acted as independent risk factors for OS, while TO (HR =0.730, 95% CI: 0.541–0.984, P=0.039) was an independent protective factor for OS (). Similarly, TO acted as an independent protective factor for both DFS and RFS (Tables S1,S2).
Table 2

Univariate and multivariate Cox analysis of clinicopathological factors for OS

FactorsUnivariate analysisMultivariate analysis
HR95% CIP valueHR95% CIP value
Period
   2011–2012Ref.
   2013–20140.8710.602–1.2620.466
   2015–20170.7710.533–1.1150.167
Age
   ≤65Ref.Ref.
   >651.6201.159–2.2670.0051.5421.099–2.1630.012
Sex
   FemaleRef.
   Male0.8880.625–1.2630.509
ASA score
   I–IIRef.
   III–IV0.0231.066–2.3420.023
BMI (kg/m2)
   ≤18.5Ref.
   18.5–251.1830.723–1.9360.503
   ≥251.3170.728–2.3810.362
Tumor location
   ProximalRef.
   Mid1.1320.661–1.9370.652
   Distal1.1690.654–2.0910.598
Histologic grade
   Gx/G1Ref.
   G20.3940.840–1.5600.394
   G31.2920.762–2.1910.342
TNM stage
   IRef.Ref.
   II3.2561.784–5.941<0.0013.0221.655–5.518<0.001
   III6.4183.671–11.220<0.0016.0943.483–10.662<0.001
   IVA13.7676.838–27.717<0.00113.7336.812–27.685<0.001
Surgical procedure
   McKeownRef.
   Ivor Lewis0.7550.469–1.2160.249
Lymphadenectomy
   Two-fieldRef.
   Three-field0.9210.588–1.4420.718
Blood loss (mL)
   ≤100Ref.Ref.
   100–2001.2620.921–1.7280.1471.2300.896–1.6880.200
   ≥2002.0051.234–3.2550.0051.9251.179–3.1430.009
Smoking status
   NeverRef.
   Current/former0.8880.662–1.1920.429
Adjuvant chemotherapy
   NoRef.
   Yes1.2090.900–1.6250.207
TO
   NoRef.Ref.
   Yes0.6380.475–0.8570.0030.7300.541–0.9840.039

OS, overall survival; ASA, American Society of Anesthesiology; BMI, body mass index; TO, textbook outcome; HR, hazard ratio; CI, confidence interval.

OS, overall survival; ASA, American Society of Anesthesiology; BMI, body mass index; TO, textbook outcome; HR, hazard ratio; CI, confidence interval.

TO-associated factors and development of a nomogram for predicting TO

Logistic univariate analysis was used to analyze the factors that affect TO before and during operation. The results of the analysis showed that ASA score, intraoperative blood loss, and smoking status were significantly related to the realization of TO. Further, multivariate analysis showed that age (>65 vs. ≤65 years: OR =0.478, 95% CI: 0.293–0.780, P=0.003), ASA score (III–IV vs. I–II: OR =0.042, 95% CI: 0.016–0.108, P=0.042), intraoperative blood loss (≥200 vs. ≤100 mL: OR =0.334, 95% CI: 0.157–0.713, P=0.005; 100–200 vs. ≤100 mL: OR =0.644, 95% CI: 0.430–0.965, P=0.033), and smoking status (current/former vs. never: OR =0.522, 95% CI: 0.350–0.779, P=0.001) acted as independent risk factors for TO ().
Table 3

Univariate and multivariate analysis of possible predictors for achievement of TO after MIE

FactorsUnivariate analysisMultivariate analysis
OR95% CIP valueOR95% CIP value
Period
   2011–2012Ref.
   2013–20141.1140.699–1.7730.651
   2015–20171.0840.709–1.6580.710
Age
   ≤65Ref.Ref.
   >650.6500.420–1.0060.0530.4780.293–0.7800.003
Sex
   FemaleRef.
   Male1.3490.905–2.0120.142
ASA score
   I–IIRef.Ref.
   III–IV0.0490.019–0.123<0.0010.0420.016–0.1080.042
BMI (kg/m2)
   ≤18.5Ref.
   18.5–250.7650.440–1.3300.343
   ≥250.5830.293–1.1600.124
Tumor location
   ProximalRef.
   Mid1.2280.671–2.2470.506
   Distal1.3590.702–2.6290.363
Histologic grade
   Gx/G1Ref.
   G21.0640.745–1.5210.733
   G31.2840.664–2.4810.457
TNM stage
   IRef.
   II0.6850.432–1.0860.108
   III0.6600.430–1.0140.058
   IVA0.9930.388–2.2430.877
Surgical procedure
   McKeownRef.
   Ivor Lewis1.1970.704–2.0360.506
Lymphadenectomy
   Two-fieldRef.
   Three-field0.8970.526–1.5300.690
Blood loss (mL)
   ≤100Ref.Ref.
   100–2000.6910.478–0.9990.0500.6440.430–0.9650.033
   ≥2000.3760.185–0.7620.0070.3340.157–0.7130.005
Smoking status
   NeverRef.Ref.
   Current/former0.6280.443–0.8880.0090.5220.350–0.7790.001

TO, textbook outcome; MIE, minimally invasive esophagectomy; ASA, American Society of Anesthesiology; BMI, body mass index; OR, odd ratio; CI, confidence interval.

TO, textbook outcome; MIE, minimally invasive esophagectomy; ASA, American Society of Anesthesiology; BMI, body mass index; OR, odd ratio; CI, confidence interval. The results of the logistic multivariate analysis were used to construct a predictive model based on age, ASA score, intraoperative blood loss, and smoking status (). The nomogram exhibited good accuracy in estimating the possibility of achieving TO (area under the receiving operator characteristic, AUROC: 0.717, 95% CI: 0.673–0.761; ). The calibration curve graphically showed that a good consistency existed between the risk estimation based on the nomogram and actual clinical TO (). The Hosmer-Lemeshow test showed that the P value was 0.988, which indicated that the nomogram had a good predictive ability.
Figure 5

Nomogram and performance evaluation. (A) Nomogram for predicting TO. (B) Calibration curve of the nomogram. (C) ROC curve of the nomogram. TO, textbook outcome; ASA, American society of Anesthesiology; ROC, receiver operating characteristic.

Nomogram and performance evaluation. (A) Nomogram for predicting TO. (B) Calibration curve of the nomogram. (C) ROC curve of the nomogram. TO, textbook outcome; ASA, American society of Anesthesiology; ROC, receiver operating characteristic. In this study, a total of 53.2% of the patients reached TO. According to the nomogram prediction for the possibility of achieving TO, the patients were divided into 2 groups, namely a low probability group for achieving TO (nomogram score <135) and a high probability group for achieving TO (nomogram score ≥135). The odds for achieving TO in the 2 groups were recorded to be 11.9% (63/528) and 41.3% (218/528), respectively (Figure S2).

Discussion

Various studies have shown that perioperative complications of esophageal cancer surgery affect the short- and long-term outcomes of patients. This suggests that the quality of the esophagectomy surgery acts as an important predictor of oncology outcome (9,10). TO was proposed as a comprehensive index to evaluate the quality and effect of the surgery on patients with esophageal cancer and colon cancer (22). Previous studies have used TO to compare differences in medical quality between different hospitals (13,23). Some recent studies have reported that the realization of TO is related to the prognosis of esophageal cancer, and that TO-compliant patients exhibit an increased OS rate and reduced risk of death (19,20). However, in the era of minimally invasive treatment, the prognosis of TO in patients with ESCC who undergo MIE remains unclear. This is the first report that investigated the clinical significance of achieving TO in ESCC patients who underwent MIE. Moreover, to facilitate the clinical application of TO, a nomogram was established to predict achievement of TO, which could provide clinicians with decision-making advice on optimizing the quality of surgery. The definition of TO generally varies according to the type, mechanism, and parameters of the tumor (24-26). The definition of TO considered in this study was based on 8 short-term outcome indicators of ESCC patients after MIE. Since there were no clearly defined intraoperative complications in previous studies, and patient death within 30 days after surgery didn’t affect the TO for long-term prognosis prediction in patients with ESCC. So, in this study, we did not include the parameters of intraoperative complications and postoperative death in TO. The results of the study showed that the rate of patients with ESCC who reached TO after MIE was 53.2%. However, previous studies have reported that the incidence of TO in esophageal cancer is less than 40% (14,19,23). This difference might be due to the inclusion of patients who underwent both MIE and OE in previous studies. In comparison to OE, MIE is associated with significant advantages in the perioperative period, such as reduced postoperative complications and improved quality of operation (3,16). The present study found that achieving a TO was significantly associated with improved OS, DFS, and RFS in patients with ESCC. The multivariate analysis showed that TO acted as an independent prognostic protective factor for patients with ESCC. In a subgroup analysis of patients with earl-stage ESCC, TO was not significantly associated with early ESCC who fulfilled the requirements of TO. In contrast, the patients with locally advanced ESCC who achieved TO exhibited a reduction in the risk of death by 35.5% and risk of recurrence by 39.4%. The dynamic display function, assessed using a Sankey plot, also showed that there was a significant difference in the “alive” and “no recurrence” status between the TO group and the non-TO group in patients with locally advanced ESCC (alive: 58.9% vs. 41.1%; no recurrence: 58.3% vs. 41.7%). These results suggested that successful surgery and optimized postoperative management were associated with long-term outcomes in patients with locally advanced ESCC. Non-TO status may be a poor prognostic factor in the case of patients with locally advanced ESCC, primarily owing to the quality of surgery and postoperative complications. In this study, lymph node dissection number, postoperative intervention, postoperative hospital stay, and postoperative complications were the main factors that limited TO. Serious postoperative complications were associated with postoperative re-intervention and prolonged postoperative hospital stay. Therefore, the number of lymph nodes dissected and the occurrence of severe postoperative complications were the 2 main independent factors that resulted in the observed decrease in the incidence of TO. Several studies have previously established the prognostic value of at least 15 lymph nodes resected in patients with esophageal cancer (27-29). Severe postoperative complications are known to increase the level of inflammation in the blood of patients with cancer, and the changes in the immune system may influence the process of cancer recurrence (10,30,31). In this study, factors that contributed to the achievement of TO included age ≤65 years, ASA score of I–II, intraoperative blood loss of ≤100 mL, and no previous history of smoking. Previous studies have established that higher ASA grades and older age are positively correlated with the probability of postoperative esophageal complications (32,33). Less intraoperative blood loss also directly affects postoperative recovery in patients, thereby increasing the incidence of TO. Importantly, the absence of a previous history of smoking has been shown to reduce the incidence of postoperative lung disease. Smoking is also considered to be a risk factor for morbidity after esophagectomy, especially in cases involving pulmonary complications (34,35). In clinical practice, ECSS patients with these high-risk factors should be identified, and a more comprehensive treatment plan should be developed for such patients. To facilitate clinical evaluation, a nomogram was established that could individually predict the possibility of TO occurrence in patients with ESCC. According to the predicted scores of the nomogram, the entire patient population was divided into 2 groups, a low probability group and a high probability group, was calculated to be 11.9% and 41.3%, respectively. Therefore, when predicting the incidence of postoperative low probability TO in patients with locally advanced ESCC, the importance of postoperative high-quality nursing should be emphasized. The present study has several limitations. The study included patients belonging to single-center institutions, and so the possibility of selection bias could not be ruled out. Although the present prognostic study included detailed information about death and recurrence, the mechanism responsible for the effect of non-TO status on death and recurrence in patients with ESCC was not clear. This might be related to the number of lymph node dissections and/or inflammatory factors, which could not be confirmed in the present study. Lastly, only internal verification of the nomogram was carried out. Thus, there is a need to conduct external verification using another independent patient population in the future. Overall, our investigation of TO and its impact on the outcomes of patients with ESCC who undergo MIE demonstrated that TO is associated with improved OS, DFS, and RFS in those with locally advanced ESCC. Several perioperative risk factors were identified, including age, ASA score, intraoperative blood loss, and smoking status, which were found to be significantly associated with achieving TO. Knowledge of this can directly help surgeons in the preoperative period to plan accordingly to mitigate these risk factors in an effort to achieve TO and to promote improved long-term outcomes in patients with ESCC who undergo MIE. The article’s supplementary files as
  35 in total

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Authors:  Marianne C Kalff; Isolde Vesseur; Wietse J Eshuis; David J Heineman; Freek Daams; Donald L van der Peet; Mark I van Berge Henegouwen; Suzanne S Gisbertz
Journal:  Ann Thorac Surg       Date:  2020-11-19       Impact factor: 4.330

2.  Textbook outcome as a composite measure in oesophagogastric cancer surgery.

Authors:  L A D Busweiler; M G Schouwenburg; M I van Berge Henegouwen; N E Kolfschoten; P C de Jong; T Rozema; B P L Wijnhoven; R van Hillegersberg; M W J M Wouters; J W van Sandick
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3.  Negative impact of leakage on survival of patients undergoing curative resection for advanced gastric cancer.

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Journal:  J Surg Oncol       Date:  2011-07-25       Impact factor: 3.454

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Authors:  Melina Arnold; Isabelle Soerjomataram; Jacques Ferlay; David Forman
Journal:  Gut       Date:  2014-10-15       Impact factor: 23.059

5.  Impact of anastomotic leakage on long-term survival after total gastrectomy for carcinoma of the stomach.

Authors:  M Sierzega; P Kolodziejczyk; J Kulig
Journal:  Br J Surg       Date:  2010-07       Impact factor: 6.939

6.  Assessment of Textbook Outcome After Surgery for Stage I/II Non-small Cell Lung Cancer.

Authors:  Sujay Kulshrestha; Wickii T Vigneswaran; Timothy M Pawlik; Marshall S Baker; Fred A Luchette; Wissam Raad; Zaid M Abdelsattar; Richard K Freeman; Tyler Grenda; James Lubawski
Journal:  Semin Thorac Cardiovasc Surg       Date:  2021-08-16

7.  Is adjuvant therapy a better option for esophageal squamous cell carcinoma patients treated with esophagectomy? A prognosis prediction model based on multicenter real-world data.

Authors:  Wenlei Yang; Fangfang Liu; Ruiping Xu; Wei Yang; Yu He; Zhen Liu; Fuyou Zhou; Fanxiu Heng; Bolin Hou; Lixin Zhang; Lei Chen; Fan Zhang; Fen Cai; Huawen Xu; Miaoping Lin; Mengfei Liu; Yaqi Pan; Ying Liu; Zhe Hu; Huanyu Chen; Zhonghu He; Yang Ke
Journal:  Ann Surg       Date:  2021-06-02       Impact factor: 12.969

8.  Long-Term Survival After Minimally Invasive Versus Open Esophagectomy for Esophageal Cancer: A Nationwide Propensity-Score Matched Analysis.

Authors:  Marianne C Kalff; Laura F C Fransen; Eline M de Groot; Suzanne S Gisbertz; Grard A P Nieuwenhuijzen; Jelle P Ruurda; Rob H A Verhoeven; Misha D P Luyer; Richard van Hillegersberg; Mark I van Berge Henegouwen
Journal:  Ann Surg       Date:  2020-12-23       Impact factor: 13.787

9.  Association Between Anesthesiologist Volume and Short-term Outcomes in Complex Gastrointestinal Cancer Surgery.

Authors:  Julie Hallet; Angela Jerath; Alexis F Turgeon; Daniel I McIsaac; Antoine Eskander; Jesse Zuckerman; Victoria Zuk; Safa Sohail; Gail E Darling; Christoffer Dharma; Natalie G Coburn; Rinku Sutradhar
Journal:  JAMA Surg       Date:  2021-05-01       Impact factor: 14.766

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