Literature DB >> 27012988

Waiting Time from Diagnosis to Treatment has no Impact on Survival in Patients with Esophageal Cancer.

E Visser1, A G Leeftink2,3, P S N van Rossum4,5, S Siesling6,7, R van Hillegersberg4, J P Ruurda8.   

Abstract

BACKGROUND: Waiting time from diagnosis to treatment has emerged as an important quality indicator in cancer care. This study was designed to determine the impact of waiting time on long-term outcome of patients with esophageal cancer who are treated with neoadjuvant therapy followed by surgery or primary surgery.
METHODS: Patients who underwent esophagectomy for esophageal cancer at the University Medical Center Utrecht between 2003 and 2014 were included. Patients treated with neoadjuvant therapy followed by surgery and treated with primary surgery were separately analyzed. The influence of waiting time on survival was analyzed using Cox proportional hazard analyses. Kaplan-Meier curves for short (<8 weeks) and long (≥8 weeks) waiting times were constructed.
RESULTS: A total of 351 patients were included; 214 received neoadjuvant treatment, and 137 underwent primary surgery. In the neoadjuvant group, the waiting time had no impact on disease-free survival (DFS) [hazard ratio (HR) 0.96, 95 % confidence interval (CI) 0.88-1.04; p = 0.312] or overall survival (OS) (HR 0.96, 95 % CI 0.88-1.05; p = 0.372). Accordingly, no differences were found between neoadjuvantly treated patients with waiting times of <8 and ≥8 weeks in terms of DFS (p = 0.506) and OS (p = 0.693). In the primary surgery group, the waiting time had no impact on DFS (HR 1.03, 95 % CI 0.95-1.12; p = 0.443) or OS (HR 1.06, 95 % CI 0.99-1.13; p = 0.108). Waiting times of <8 weeks versus ≥8 weeks did not result in differences regarding DFS (p = 0.884) or OS (p = 0.374).
CONCLUSIONS: In esophageal cancer patients treated with curative intent by either neoadjuvant therapy followed by surgery or primary surgery, waiting time from diagnosis to treatment has no impact on long-term outcome.

Entities:  

Mesh:

Year:  2016        PMID: 27012988      PMCID: PMC4927609          DOI: 10.1245/s10434-016-5191-6

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


Esophageal cancer is the eighth most common cancer and the sixth most common cause of cancer-related mortality worldwide.1,2 Surgical resection is the cornerstone of curative treatment with a 5-year survival rate of 34–36 % in patients treated with primary surgery.2 Multimodality treatment with neoadjuvant chemoradiotherapy or perioperative chemotherapy is increasingly applied and results in improved 5-year survival rates of 36–47 %.3–6 Waiting times have been shown to be an important quality indicator for cancer care.7 In the Netherlands, the period between diagnosis and treatment is currently recommended to be reduced to a maximum of 5 weeks, and all Dutch hospitals have been obliged to publish their waiting times once per month and submit these to the Dutch Healthcare authority.8,9 Waiting time before treatment is distressing for patients and impairs their quality of life.10–12 Several studies investigated the length of waiting time in esophageal cancer.13–18 However, these studies lacked survival analyses, are currently outdated, or only included patients treated with primary surgery.13–18 Therefore, literature about the impact of waiting time on the long-term outcome in patients with esophageal cancer is scarce. This study was designed to determine the impact of waiting time from diagnosis to treatment on disease-free survival (DFS) and overall survival (OS) in patients with esophageal cancer undergoing esophagectomy with curative intent, either with or without neoadjuvant therapy.

Materials and Methods

Study Population

Data regarding 426 consecutive patients who were planned for esophagectomy with curative intent for esophageal cancer at the University Medical Center Utrecht (UMC Utrecht), from October 2003 to December 2014, were extracted from a prospectively collected database. Exclusion criteria consisted of emergency esophagectomies, participation in the Barrett’s esophagus surveillance program, detected unresectable tumor (cT4b) or metastatic disease (M1) intraoperatively, and in-hospital or 90-day postoperative mortality. Institutional review board approval was obtained, and the informed consent requirement was waived for this study.

Pretreatment Workup

A substantial proportion of the patients were referred to the UMC Utrecht for treatment after their esophageal cancer diagnosis was established in a referring hospital. The remaining patients had the UMC Utrecht as their first-line hospital and were directly referred by a general practitioner (GP). In all patients, upper gastrointestinal endoscopy with biopsy was performed to confirm the diagnosis of esophageal cancer. Further investigations included endoscopic ultrasound (EUS), computed tomography (CT) scanning of thorax and abdomen, and ultrasonography of the neck. F-fluorodeoxyglucose positron emission tomography (FDG-PET) was not regularly used but has become part of the standard staging in our center since July 2013. All patients were discussed at a multidisciplinary tumor board in which a definitive treatment plan was constructed.

Treatment

According to the Dutch guidelines, patients with locally advanced disease (cT ≥ 2 or cN+) received either perioperative chemotherapy or neoadjuvant chemoradiotherapy.3,4 Before June 2012, the standard treatment for patients with esophageal cancer in our center consisted of perioperative chemotherapy.3,6 From June 2012, patients received neoadjuvant chemoradiotherapy.4 Before 2008, neoadjuvant therapy was not part of the standard protocol and most patients were operated on without neoadjuvant therapy. In addition, primary surgical esophageal resection was performed in patients who were not eligible for neoadjuvant treatment. After esophagectomy with en bloc lymphadenectomy, all patients underwent gastric tube reconstruction with a cervical anastomosis. All patients were divided into one of two groups, including a group of patients who received neoadjuvant treatment followed by surgery, and a group of patients who underwent primary surgery.

Follow-Up

Clinical and histopathological characteristics were retrieved from the database. The resected specimens were reviewed by pathologists in accordance with the 7th edition of the American Joint Committee on Cancer TNM staging system.19 A radical resection (R0) was defined using the College of American Pathologist criteria.20 Following hospital discharge, patients were followed at the outpatient clinic for 5 years. In case of clinical suspicion of tumor recurrence, diagnostic imaging was performed. For patients who were discharged after 5 years of follow-up, the general practitioner was contacted for additional information on recurrent disease. DFS was defined as the number of months from the start date of neoadjuvant therapy until the date of recurrent disease in the neoadjuvant group and from the date of surgery until the date of recurrent disease in the primary surgery group. OS was defined as the number of months from the start date of neoadjuvant therapy until the date of death or last follow-up in the neoadjuvant group and from the date of surgery until the date of death or last follow-up in the primary surgery group.

Statistical Analysis

The distribution of continuous characteristics was reported as median [interquartile range (IQR)] or mean ± standard deviation (SD), and categorical variables were reported as numbers and percentages. For the neoadjuvantly treated group, waiting time was defined as the number of weeks from the date of diagnosis to the start date of neoadjuvant therapy. For the primary surgery group, waiting time was defined as the number of weeks from the date of diagnosis to the date of surgery. The date of the first upper gastrointestinal endoscopy, on which the diagnosis of esophageal cancer had been established by histology from biopsies, was used as date of diagnosis. Spearman’s rank correlation coefficients (ρ) were calculated to determine whether waiting time from diagnosis to treatment was influenced by (i.e., correlated with) the baseline characteristics. Spearman’s ρ was interpreted as follows: a positive or negative correlation coefficient of 0.80–1.00 was considered very strong; 0.60–0.79, strong; 0.40–0.59, moderate; 0.20–0.39, weak; and 0–0.20, very weak. The prognostic influence of the studied parameters, including waiting time and all baseline characteristics of DFS and OS, was assessed using univariable Cox proportional hazard analysis, which provided hazard ratios (HRs) along with 95 % confidence intervals (CIs). Studied parameters that yielded a p value <0.10 in univariable analysis were entered in multivariable Cox proportional hazards models, separately for DFS and OS. The original scale of waiting time was used for Cox regression analysis, because logarithmic transformation did not improve the proportional hazard assumption. In accordance with literature and based on guidelines, waiting time was initially categorized into three groups: <5, 5–8, and ≥8 weeks.9,18 However, due to a limited number of patients, the number of groups was reduced to two groups with representative sample sizes, consisting of short and long time waiters (<8 and ≥8 weeks), respectively. Both groups were compared using the log-rank test after construction of Kaplan–Meier survival curves. All statistical analyses were performed using IBM SPSS Statistics Version 21 for Windows (IBM Corp., Armonk, NY). A p value <0.05 was considered statistically significant.

Results

Baseline Characteristics

Of the 426 patients who were planned for esophagectomy in the study period, 59 were excluded because of emergency esophagectomy (n = 3), participation in the Barrett’s esophagus surveillance program (n = 7), detected unresectable tumor (cT4b) or metastatic disease (M1) intraoperatively (n = 21), and in-hospital or 90-day postoperative mortality (n = 29). In 15 patients, waiting time could not be calculated, because the date of diagnosis or the starting date of neoadjuvant therapy was unknown. The remaining 351 patients were included in this study (Table 1).
Table 1

Baseline characteristics of 351 patients treated with neoadjuvant therapy followed by esophagectomy or primary surgery for esophageal cancer

Neoadjuvant therapy total (n = 214) n (%)*Primary surgery total (n = 137) n (%)*
Age at diagnosis, year [mean ± SD]63 (8.4)64 (9.9)
Gender
 Male171 (80)93 (68)
 Female43 (20)44 (32)
ASA score
 149 (23)35 (26)
 2136 (64)70 (51)
 ≥329 (14)32 (23)
Tumor location
 Upper esophagus3 (1)0 (0)
 Middle esophagus30 (14)29 (21)
 Distal esophagus105 (49)62 (45)
 Gastroesophageal junction76 (36)46 (34)
Neoadjuvant therapy
 None0 (0)137 (100)
 Chemotherapy103 (48)0 (0)
 Chemoradiotherapy111 (52)0 (0)
Surgical approach
 Transthoracic176 (82)84 (61)
 Transhiatal38 (18)53 (39)
Histological type
 Adenocarcinoma175 (82)92 (67)
 Squamous cell carcinoma39 (18)44 (32)
 Other0 (0)1 (1)
pT stage
 T039 (18)2 (2)
 T1-264 (30)39 (28)
 T3-4a111 (51)96 (70)
pN stage
 N0108 (51)46 (34)
 N154 (25)39 (29)
 N2-352 (24)52 (38)
Radicality
 R0198 (93)117 (85)
 R116 (8)20 (15)
Referral
 By general practitioner23 (11)34 (25)
 By another hospital191 (89)103 (75)
Year of diagnosis
 2003–20052 (1)34 (25)
 2006–200822 (10)50 (36)
 2009–201191 (43)33 (24)
 2012–201499 (46)20 (15)

SD standard deviation, ASA American Society of Anesthesiologists

* Percentages may not add up to 100 due to rounding

Baseline characteristics of 351 patients treated with neoadjuvant therapy followed by esophagectomy or primary surgery for esophageal cancer SD standard deviation, ASA American Society of Anesthesiologists * Percentages may not add up to 100 due to rounding The number of patients in the neoadjuvant group was 214. Mean age at diagnosis was 63 years ± 8.4 (SD). The majority of patients was male (n = 171, 80 %), received neoadjuvant chemoradiotherapy (n = 111, 52 %), underwent transthoracic esophagectomy (n = 176, 82 %), and was pathologically staged as ypT3-4a (n = 111, 51 %), ypN0 (n = 108, 51 %), and R0 (n = 198, 93 %). The primary surgery group consisted of 137 patients. Mean age at diagnosis was 64 years ± 9.9 (SD). The majority of patients was male (n = 93, 68 %), underwent transthoracic esophagectomy (n = 84, 61 %), and was pathologically staged as pT3-4a (n = 96, 70 %), pN+ (n = 91, 66 %), and R0 (n = 117, 85 %).

Waiting Time and Baseline Characteristics

The median time from diagnosis to neoadjuvant treatment was 6.4 weeks (IQR 5.3–7.7) for patients in the neoadjuvant group. Spearman’s rank correlation coefficients showed weak to very weak correlations of waiting time with all baseline characteristics ranging from −0.22 to +0.16 (Table 2). In the primary surgery group, patients had a median time from diagnosis to surgery of 9.7 weeks (IQR 8.0–13.1). Spearman’s rank correlation coefficients showed weak to very weak correlations of waiting time with baseline characteristics ranging from −0.22 to +0.25 (Table 2). The median waiting time of excluded patients detected with an unresectable tumor (cT4b) or metastatic disease (M1) intraoperatively (n = 21) was 6.1 weeks (IQR 4.7–11.0) in the neoadjuvant group (n = 7) and 8.8 weeks (IQR 4.2–12.4) in the primary surgery group (n = 14).
Table 2

Spearman’s rank correlation coefficients (ρ) for waiting time for patients treated with neoadjuvant therapy followed by esophagectomy or primary surgery for esophageal cancer

Neoadjuvant therapyPrimary surgery
Age at diagnosis0.110.25
Gender0.020.03
ASA score0.160.14
Tumor location0.05−0.03
Type of neoadjuvant therapy−0.08n.a.
Surgical approach0.020.22
Histological type0.010.01
pT stage0.06−0.22
pN stage0.07−0.11
Radicality0.010.09
Referral0.160.10
Year of diagnosis−0.220.17

ASA American Society of Anesthesiologists, n.a. not applicable

Positive or negative coefficients indicate positive or negative correlations with 1 or −1 being the strongest positive or negative relationship

Spearman’s rank correlation coefficients (ρ) for waiting time for patients treated with neoadjuvant therapy followed by esophagectomy or primary surgery for esophageal cancer ASA American Society of Anesthesiologists, n.a. not applicable Positive or negative coefficients indicate positive or negative correlations with 1 or −1 being the strongest positive or negative relationship

Waiting Time and Survival

For surviving patients in the neoadjuvant group, the median follow-up was 28 months (range 7–75). Of the 214 patients, 102 (48 %) developed recurrent disease during follow-up. Median DFS was 16 months (range 3–75), whereas median OS was 19 months (range 5–77). The OS rates at 1 and 3 years were 84 and 48 %, respectively. Univariable analyses of all studied variables in relation to DFS and OS are presented in Appendix Table 5. Waiting time did not influence significantly the DFS (HR 0.96, 95 % CI 0.88–1.04; p = 0.312) or OS (HR 0.96, 95 % CI 0.88–1.05; p = 0.372; Table 3). For DFS, multivariable analysis identified ypT3-4a stage, ypN+ stage, and irradicality as independent and significant prognostic factors associated with worse DFS. For OS, ypN+ stage remained independently and significantly associated with worse OS in multivariable analysis. In addition, a stratified analysis for type of neoadjuvant therapy showed that waiting time did not influence OS significantly in patients treated with chemotherapy (HR 0.92, 95 % CI 0.81–1.03; p = 0.159) or in patients treated with chemoradiotherapy (HR 1.05, 95 % CI 0.90–1.23; p = 0.509).
Table 5

Univariable analysis of influence of waiting time on disease-free survival and overall survival in patients treated with neoadjuvant therapy followed by esophagectomy for esophageal cancer

Disease-free survivalOverall survival
HR95 % CI p valueHR95 % CI p value
Univariable analysis
 Additional week waiting time0.960.88–1.050.3621.000.91–1.080.910
 Age at diagnosis1.010.91–1.130.8051.010.98–1.030.503
 Gender
  FemaleReferenceReference
  Male1.280.77–2.130.3421.010.62–1.650.962
 ASA classification
  1ReferenceReference
  20.840.52–1.330.4520.389
  >31.330.72–2.470.3660.810.480
 Tumor location
  Upper esophagusReferenceReference
  Middle esophagus0.590.12–3.060.5340.610.13–2.830.524
  Distal esophagus0.870.19–3.950.8530.740.18–3.050.677
  Gastroesophageal junction0.700.15–3.240.6470.530.13–2.230.389
 Neoadjuvant therapy
  ChemotherapyReferenceReference
  Chemoradiotherapy0.900.60–1.340.5940.960.63–1.460.849
 Surgical approach
  TransthoracicReferenceReference
  Transhiatal0.750.44–1.260.2720.720.43–1.220.226
 Histological type
  AdenocarcinomaReferenceReference
  Squamous cell carcinoma0.870.49–1.530.6211.450.85–2.450.172
 pT stage
  T0ReferenceReference
  T1-21.550.69–3.470.2880.950.45–2.020.895
  T3-4a3.941.89–8.25<0.0012.541.31–4.940.006
 pN stage
  N0ReferenceReference
  N11.831.11–3.030.0192.071.25–3.430.005
  N2-34.422.77–7.03<0.0014.152.57–6.69<0.001
 Radicality
  R0ReferenceReference
  R14.412.46–7.91<0.0014.402.46–7.87<0.001
 Referral
  By general practitionerReferenceReference
  By another hospital0.940.52–1.720.8470.930.53–1.780.928
 Additional year date diagnosis1.010.91–1.130.8051.070.95–1.210.250

Analysis was performed using Cox regression model

ASA American Society of Anesthesiologists, HR hazard ratio, CI confidence interval

Table 3

Univariable and multivariable analysis of influence of waiting time on disease-free survival and overall survival in patients treated with neoadjuvant therapy followed by esophagectomy for esophageal cancer

Univariable analysisMultivariable analysis
HR95 % CI p valueHR95 % CI p value
Disease-free survival
 Additional week waiting time0.960.88–1.050.3620.960.88–1.040.312
 ypT stage
 T0ReferenceReference
 T1-21.550.69–3.470.2881.220.54–2.790.635
 T3-4a3.941.89–8.25 <0.001 2.401.10–5.22 0.028
ypN stage
 N0ReferenceReference
 N11.831.11–3.03 0.019 1.721.03–2.88 0.039
 N2-34.422.77–7.03 <0.001 3.091.81–5.25 <0.001
Radicality
 R0ReferenceReference
 R14.412.46–7.91 <0.001 1.931.00–3.70 0.049
Overall survival
 Additional week waiting time1.000.91–1.080.9100.960.88–1.050.372
 ypT stage
 T0ReferenceReference
 T1-20.950.45–2.020.8950.710.33–1.540.385
 T3-4a2.541.31–4.94 0.006 1.460.71–3.000.300
ypN stage
 N0ReferenceReference
 N12.071.25–3.43 0.005 2.041.21–3.43 0.007
 N2-34.152.57–6.69 <0.001 3.041.74–5.33 <0.001
Radicality
 R0ReferenceReference
 R14.402.46–7.87 <0.001 1.900.99–3.660.055

HR hazard ratio, CI confidence interval

Analysis was performed using Cox regression model. Bold values indicate statistically significant results (e.g., p < 0.05). Only waiting time and variables with p < 0.1 from univariable analysis are reported and were used for multivariable analysis

Univariable and multivariable analysis of influence of waiting time on disease-free survival and overall survival in patients treated with neoadjuvant therapy followed by esophagectomy for esophageal cancer HR hazard ratio, CI confidence interval Analysis was performed using Cox regression model. Bold values indicate statistically significant results (e.g., p < 0.05). Only waiting time and variables with p < 0.1 from univariable analysis are reported and were used for multivariable analysis For surviving patients in the primary surgery group, the median follow-up was 56 months (range 10–135). During follow-up, 67 of 137 patients (49 %) developed recurrent disease. Median DFS in the primary surgery group was 18 months (range 2–133), whereas median OS was 23 months (range 2–135). The OS rates at 1, 3, and 5 years were 80, 50, and 45 %, respectively. Univariable analyses of all studied variables in relation to DFS and OS are presented in Appendix Table 6. Waiting time from diagnosis to surgery did not influence significantly DFS (HR 1.03, 95 % CI 0.95–1.12; p = 0.443) or OS (HR 1.06, 95 % CI 0.99–1.13; p = 0.108; Table 4). For DFS, multivariable analysis identified pT3-4a stage and pN+ stage as independent and significant prognostic factors associated with worse DFS. For OS, pN+ stage and irradicality remained independently and significantly associated with worse OS in multivariable analysis.
Table 6

Univariable analysis of influence of waiting time on disease-free survival and overall survival in patients treated with esophagectomy for esophageal cancer

Disease-free survivalOverall survival
HR95 % CI p valueHR95 % CI p value
Univariable analysis
 Additional week waiting time0.970.91–1.020.2220.990.95–1.050.803
 Age at diagnosis0.980.96–1.010.1291.000.98–1.020.876
 Gender
  FemaleReferenceReference
  Male1.270.75–2.160.3791.020.63–1.660.932
 ASA classification
  1ReferenceReference
  20.630.37–1.090.1000.930.54–1.590.782
  >30.540.27–1.070.0750.980.53–1.830.984
 Tumor location
  Middle esophagusReferenceReference
  Distal esophagus0.250.36–1.300.2460.680.37–1.240.211
  Gastro-esophageal junction0.180.82–2.890.1771.740.96–3.150.067
 Surgical approach
  TransthoracicReferenceReference
  Transhiatal0.500.29–0.860.0120.770.48–1.240.285
 Histological type
  AdenocarcinomaReferenceReference
  Squamous cell carcinoma0.740.43–1.260.2640.930.57–1.490.748
  Other3.330.45–24.450.2383.370.46–24.770.233
 pT stage
  T0-2ReferenceReference
  T3-4a4.082.02–8.26<0.0012.951.62–5.38<0.001
 pN stage
  N0ReferenceReference
  N12.891.35–6.200.0062.891.52–5.490.001
  N2-35.202.58–10.50<0.0013.251.78–5.94<0.001
 Radicality
  R0ReferenceReference
  R12.951.67–5.21<0.0012.651.56–4.51<0.001
 Referral
  By general practitionerReferenceReference
  By another hospital1.500.82–2.750.1901.000.60–1.670.999
  Additional year date diagnosis0.880.81–0.970.0090.920.84–1.010.070

Analysis was performed using Cox regression model

ASA American Society of Anesthesiologists, HR hazard ratio, CI confidence interval

Table 4

Univariable and multivariable analysis of influence of waiting time on disease-free survival and overall survival in patients treated with primary surgery for esophageal cancer

Univariable analysisMultivariable analysis
HR95 % CI p valueHR95 % CI p value
Disease-free survival
 Additional week waiting time0.970.910.2221.030.950.443
 ASA score
  1ReferenceReference
  20.630.37–1.090.1000.950.53–1.720.876
  ≥30.540.27–1.070.0750.950.32–1.390.284
 Surgical approach
  TransthoracicReferenceReference
  Transhiatal0.500.29–0.86 0.012 0.660.36–1.220.182
 pT stage
  T0-2ReferenceReference
  T3-4a4.082.02–8.26 <0.001 2.511.13–5.57 0.024
 pN stage
  N0ReferenceReference
  N12.891.35–6.20 0.006 2.251.00–5.05 0.029
  N2-35.202.58–10.50 <0.001 2.921.33–6.45 0.008
 Radicality
  R0ReferenceReference
  R12.951.67–5.21 <0.001 10810.97–3.370.063
 Additional year date diagnosis0.880.81–0.97 0.009 0.940.85–1.050.266
Overall survival
 Additional week waiting time0.990.95–1.05 0.803 1.060.99–1.130.108
 Tumor location
  Middle esophagusReferenceReference
  Distal esophagus0.680.37–1.240.2110.540.28–1.030.060
  Gastro-esophageal junction1.740.96–3.150.0671.120.60–2.090.728
 pT stage
  T0-2ReferenceReference
  T3-4a2.951.62–5.38 <0.001 1.860.92–3.780.086
 pN stage
  N0ReferenceReference
  N12.891.52–5.49 0.001 2.761.40–5.45 0.004
  N2-33.251.78–5.94 <0.001 2.371.16–4.84 0.018
 Radicality
  R0ReferenceReference
  R12.651.56–4.51 <0.001 2.081.17–3.70 0.013
 Additional year date diagnosis0.920.84–1.01 0.070 0.970.88–1.080.584

Analysis was performed using Cox regression model. Bold values indicate statistically significant results (e.g., p < 0.05). Only waiting time and variables with p < 0.1 from univariable analysis are reported and were used for multivariable analysis

ASA American Society of Anesthesiologists, HR hazard ratio, CI confidence interval

Univariable and multivariable analysis of influence of waiting time on disease-free survival and overall survival in patients treated with primary surgery for esophageal cancer Analysis was performed using Cox regression model. Bold values indicate statistically significant results (e.g., p < 0.05). Only waiting time and variables with p < 0.1 from univariable analysis are reported and were used for multivariable analysis ASA American Society of Anesthesiologists, HR hazard ratio, CI confidence interval

Impact of Short versus Long Waiting Time on Long-term Survival

In the neoadjuvant group, no significant differences were found between patients with short (<8 weeks, n = 165) and long (≥8 weeks, n = 49) waiting times regarding DFS (p = 0.506) and OS (p = 0.693; Figs. 1a, b). In addition, in the primary surgery group, short (n = 37) and long (n = 100) waiting times did not result in significant differences in terms of DFS (p = 0.884) or OS (p = 0.374; Figs. 1c, d).
Fig. 1

The influence of short (<8 weeks) and long (≥8 weeks) waiting time on disease-free survival (a, c) and overall survival (b, d) in patients treated with neoadjuvant therapy followed by surgery (a, b), and patients treated with primary surgery (c, d) for esophageal cancer. Survival curves were plotted by the Kaplan–Meier method

The influence of short (<8 weeks) and long (≥8 weeks) waiting time on disease-free survival (a, c) and overall survival (b, d) in patients treated with neoadjuvant therapy followed by surgery (a, b), and patients treated with primary surgery (c, d) for esophageal cancer. Survival curves were plotted by the Kaplan–Meier method

Discussion

This single-center cohort study investigated the influence of waiting time on long-term outcome in patients who underwent esophagectomy with curative intent for esophageal cancer, either treated with neoadjuvant therapy or treated with primary surgery. This study showed that waiting time did not significantly impact long-term outcome for both patient groups. This is the first study to demonstrate that waiting time does not significantly affect long-term outcome regarding DFS and OS for patients treated with neoadjuvant therapy followed by surgery for esophageal cancer. In line with previous studies, waiting time did not impact DFS or OS in patients treated with primary surgery.17,18 The majority of the included patients were treated within a time frame of approximately 3 months. Therefore, the findings of this study reflect the fact that if patients are treated within a clinically relevant waiting period, early treatment does not improve survival. Because multimodality treatment was introduced recently as the standard of care, the median follow-up duration of 28 months is relatively short in the neoadjuvant group. However, median time to recurrence is 9 months and the majority of patients develop recurrent disease within 2 years after surgery.21,22 Therefore, the follow-up duration of the neoadjuvant group in this study was considered sufficient to assess accurately the impact of waiting time on both DFS and OS. To provide more insight into the influence of waiting time on long-term outcome, waiting time was initially categorized into three groups in this study according to Grotenhuis et al.18 Due to a limited number of patients, two rather than three groups, consisting of patients with short (<8 weeks) and long (≥8 weeks) waiting times, were composed. This cutoff was used to create two groups with representative sample sizes. The results showed no difference in survival regarding DFS and OS for patients with waiting times of <8 weeks from diagnosis to the start of neoadjuvant therapy. In addition, for patients treated with primary surgery, no differences were found between short and long waiting times on long-term outcome. In this study, waiting time was not influenced by one or more baseline characteristics. All correlations were weak to very weak (Spearman’s rank correlation coefficient <0.4). This finding suggests that a longer waiting time did not result in worse tumor characteristics with more advanced disease or in a smaller rate of radical tumor resections. Patients with shorter and longer waiting times had comparable pTN stages and R0 resections. For patients treated with neoadjuvant therapy, the waiting time did not differ between the type of neoadjuvant therapy (neoadjuvant chemoradiotherapy or perioperative chemotherapy). In other types of cancer, several studies reported mixed findings about the potential association between waiting time and long-term survival. For breast cancer, studies mainly reported better outcomes with shorter waiting time, whereas in lung cancer, mixed findings of positive, negative, and no associations were reported.23–27 For pancreatic and colorectal cancer, most studies reported no associations between waiting time and survival.28–31 Numerous reports showed that increased waiting time results in major psychosocial stress in cancer patients. Patients prefer to be treated as soon as possible for the fear of tumor progression.32–34 Until hard conclusions can be drawn on the effect of waiting time on patients’ prognosis, efforts should be made to keep waiting time to a minimum. In the current study, the median waiting time between diagnosis and neoadjuvant treatment was 6.4 weeks, whereas in patients treated with primary surgery it was 9.7 weeks. The waiting time reflects resource availability and efficiency, which indicates that there is still room for improvement.35 However, the main reason for the long waiting time should be sought, because we are a tertiary referral center. To reduce waiting time, a more efficient diagnostic workup for patients with suspected esophageal cancer was recently introduced in our hospital, including rapid diagnostic pathways and frequent multidisciplinary team meetings for the establishment of a definitive treatment plan for each individual patient.36 This diagnostic workup resulted in a reduced median waiting time of 6.1 weeks for the neoadjuvant group and 8.1 weeks for the primary surgery group during the period of 2012–2014 (data not shown). Further steps still need to be taken to reduce the waiting time from the determination of the treatment plan until the start of treatment. The waiting time of the primary surgery group in this study is likely caused by the complexity of esophageal surgery planning. Esophagectomies are highly complex procedures with a median surgery duration of 6 h for transthoracic resection and therefore put a lot of pressure on operating room schedules.37 In our center, patients do not undergo standard disease evaluation after initial diagnosis of esophageal cancer until esophagectomy, and therefore possible tumor progression could only be detected during surgery. The median waiting time of 21 excluded patients detected with an unresectable tumor (cT4b) or metastatic disease (M1) intraoperatively and was comparable with the included patients who underwent esophagectomy with curative intent. Therefore, no significant selection bias of these patients is expected. Of note, this study contains information about in-hospital waiting time only. Because patient waiting time (i.e., time between onset of symptoms and presentation to the GP) and doctor waiting time (i.e., time between presentation to the GP and endoscopy) account for a larger part of the total waiting time, these periods may still have an influence on long-term outcome.13,15,18 It would be interesting to identify what time frame is appropriate and whether a delay of any length does negatively influence long-term oncologic outcomes. Unfortunately, this study was not designed for such analysis. In conclusion, this is the first study to demonstrate that waiting time does not impact long-term outcome in patients treated with neoadjuvant therapy combined with surgical resection for curable esophageal cancer. Furthermore, a longer waiting time did not affect the oncologic outcome for patients treated with primary surgery.
  33 in total

1.  Pretreatment symptom distress in women newly diagnosed with breast cancer.

Authors:  B Cimprich
Journal:  Cancer Nurs       Date:  1999-06       Impact factor: 2.592

2.  Safety, efficacy, and long-term follow-up evaluation of perioperative epirubicin, Cisplatin, and capecitabine chemotherapy in esophageal resection for adenocarcinoma.

Authors:  P C van der Sluis; I Ubink; S van der Horst; J J Boonstra; E E Voest; J P Ruurda; I H M Borel Rinkes; M J Wiezer; M E I Schipper; P D Siersema; M Los; M P Lolkema; R van Hillegersberg
Journal:  Ann Surg Oncol       Date:  2015-01-07       Impact factor: 5.344

3.  The effect of wait times on oncological outcomes from periampullary adenocarcinomas.

Authors:  Spencer R McLean; Divya Karsanji; Jennifer Wilson; Elijah Dixon; Francis R Sutherland; Janice Pasieka; Chad Ball; Oliver F Bathe
Journal:  J Surg Oncol       Date:  2013-04-26       Impact factor: 3.454

4.  Is earlier referral and investigation of bowel cancer patients presenting with rectal bleeding associated with better survival?

Authors:  M R Thompson; A Asiimwe; K Flashman; G Tsavellas
Journal:  Colorectal Dis       Date:  2011-11       Impact factor: 3.788

5.  Delay in surgical treatment and survival after breast cancer diagnosis in young women by race/ethnicity.

Authors:  Erlyn C Smith; Argyrios Ziogas; Hoda Anton-Culver
Journal:  JAMA Surg       Date:  2013-06       Impact factor: 14.766

6.  Do diagnostic and treatment delays for colorectal cancer increase risk of death?

Authors:  Sandi L Pruitt; Amy Jo Harzke; Nicholas O Davidson; Mario Schootman
Journal:  Cancer Causes Control       Date:  2013-02-28       Impact factor: 2.506

7.  Psychosocial problems in head-and-neck cancer patients and their change with time since diagnosis.

Authors:  Y Rapoport; S Kreitler; S Chaitchik; R Algor; K Weissler
Journal:  Ann Oncol       Date:  1993-01       Impact factor: 32.976

8.  The symptom-to-treatment delay and stage at the time of treatment in cancer of esophagus.

Authors:  Jianbo Wang; Fang Liu; Hui Gao; Wei Wei; Xiaomei Zhang; Yemin Liang; Yufeng Cheng
Journal:  Jpn J Clin Oncol       Date:  2008-02-05       Impact factor: 3.019

9.  Do delays between diagnosis and surgery in resectable oesophageal cancer affect survival? A study based on West Midlands cancer registration data.

Authors:  B S Kötz; S Croft; D R Ferry
Journal:  Br J Cancer       Date:  2006-09-12       Impact factor: 7.640

10.  Prognosis and Treatment After Diagnosis of Recurrent Esophageal Carcinoma Following Esophagectomy with Curative Intent.

Authors:  K Parry; E Visser; P S N van Rossum; N Haj Mohammad; J P Ruurda; R van Hillegersberg
Journal:  Ann Surg Oncol       Date:  2015-09-03       Impact factor: 5.344

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  13 in total

1.  Impact of preoperative wait time on survival in patients with clinical stage II/III gastric cancer.

Authors:  Kenichiro Furukawa; Tomoyuki Irino; Rie Makuuchi; Yusuke Koseki; Kenichi Nakamura; Yuhei Waki; Keiichi Fujiya; Hayato Omori; Yutaka Tanizawa; Etsuro Bando; Taiichi Kawamura; Masanori Terashima
Journal:  Gastric Cancer       Date:  2018-12-10       Impact factor: 7.370

2.  Relationship Between the Waiting Times for Surgery and Survival in Patients with Gastric Cancer.

Authors:  Yuta Kumazu; Koji Oba; Tsutomu Hayashi; Takanobu Yamada; Kentaro Hara; Hiroaki Osakabe; Yota Shimoda; Masato Nakazono; Shinsuke Nagasawa; Yasushi Rino; Munetaka Masuda; Takashi Ogata; Takaki Yoshikawa; Takashi Oshima
Journal:  World J Surg       Date:  2020-04       Impact factor: 3.352

3.  Effect of miR-630 expression on esophageal cancer cell invasion and migration.

Authors:  Xi Liu; Wei Wu; Shixin Zhang; Wenfeng Tan; Yang Qiu; Kelong Liao; Kang Yang
Journal:  J Clin Lab Anal       Date:  2021-05-21       Impact factor: 2.352

Review 4.  Anesthesia Medications and Interaction with Chemotherapeutic Agents.

Authors:  Jeremy Watson; Michael K Ninh; Scott Ashford; Elyse M Cornett; Alan David Kaye; Ivan Urits; Omar Viswanath
Journal:  Oncol Ther       Date:  2021-04-16

5.  Waiting time for cancer treatment and mental health among patients with newly diagnosed esophageal or gastric cancer: a nationwide cohort study.

Authors:  Huan Song; Fang Fang; Unnur Valdimarsdóttir; Donghao Lu; Therese M-L Andersson; Christina Hultman; Weimin Ye; Lars Lundell; Jan Johansson; Magnus Nilsson; Mats Lindblad
Journal:  BMC Cancer       Date:  2017-01-03       Impact factor: 4.430

6.  Association Between Waiting Time from Diagnosis to Treatment and Survival in Patients with Curable Gastric Cancer: A Population-Based Study in the Netherlands.

Authors:  H J F Brenkman; E Visser; P S N van Rossum; S Siesling; R van Hillegersberg; J P Ruurda
Journal:  Ann Surg Oncol       Date:  2017-03-28       Impact factor: 5.344

7.  Contrast-enhanced computed tomography combined with Chitosan-Fe3O4 nanoparticles targeting fibroblast growth factor receptor and vascular endothelial growth factor receptor in the screening of early esophageal cancer.

Authors:  Juanjuan Gai; Zhenli Gao; Liqiang Song; Yongyun Xu; Weixin Liu; Chuanxin Zhao
Journal:  Exp Ther Med       Date:  2018-04-23       Impact factor: 2.447

8.  Can we assess Cancer Waiting Time targets with cancer survival? A population-based study of individually linked data from the National Cancer Waiting Times monitoring dataset in England, 2009-2013.

Authors:  Chiara Di Girolamo; Sarah Walters; Carolynn Gildea; Sara Benitez Majano; Bernard Rachet; Melanie Morris
Journal:  PLoS One       Date:  2018-08-22       Impact factor: 3.240

9.  Time to surgery in thoracic cancers and prioritization during COVID-19: a systematic review.

Authors:  Scott C Fligor; Savas T Tsikis; Sophie Wang; Ana Sofia Ore; Benjamin G Allar; Ashlyn E Whitlock; Rodrigo Calvillo-Ortiz; Kevin Arndt; Mark P Callery; Sidhu P Gangadharan
Journal:  J Thorac Dis       Date:  2020-11       Impact factor: 2.895

10.  Disseminated tumour cells with highly aberrant genomes are linked to poor prognosis in operable oesophageal adenocarcinoma.

Authors:  Sarah Schumacher; Christoph Bartenhagen; Martin Hoffmann; Daniel Will; Johannes C Fischer; Stephan E Baldus; Christian Vay; Georg Fluegen; Levent Dizdar; Daniel Vallböhmer; Christoph A Klein; Wolfram T Knoefel; Nikolas H Stoecklein; Birte Möhlendick
Journal:  Br J Cancer       Date:  2017-07-20       Impact factor: 7.640

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