Delayed time to chemotherapy (TTC) is associated with decreased outcomes of breast cancer patients. Recently, studies suggested that the association might be subtype-dependent and that TTC within 30 days should be warranted in patients with triple-negative breast cancer (TNBC). The aim of the current study is to determine if TTC beyond 30 days is associated with reduced 10-year overall survival in TNBC patients. We identified all TNBC patients diagnosed between 2006 and 2014 who received adjuvant chemotherapy in the Netherlands. We distinguished between breast-conserving surgery (BCS) vs. mastectomy given the difference in preoperative characteristics and outcomes. The association was estimated with hazard ratios (HRs) using propensity-score matched Cox proportional hazard analyses. In total, 3,016 patients were included. In matched patients who underwent BCS (n = 904), 10-year overall survival was favorable for patients with TTC within 30 days (84.4% vs. 76.9%, p = 0.001). Patients with TTC beyond 30 days were more likely than those with TTC within 30 days to die within 10 years after surgery (HR 1.69 (95% CI 1.22–2.34), p = 0.002). In matched patients who underwent mastectomy (n = 1,568), there was no difference in 10 years overall survival between those with TTC within or beyond 30 days (74.5% vs. 74.7%, p = 0.716), nor an increased risk of death for those with TTC beyond 30 days (HR 1.04 (95% CI 0.84–1.28), p = 0.716). Initiation of adjuvant chemotherapy beyond 30 days is associated with decreased 10 years overall survival in TNBC patients who underwent BCS. Therefore, timelier initiation of chemotherapy in TNBC patients undergoing BCS seems warranted.@en

Background: Comparing outcomes across hospitals to learn from best performing hospitals can be valuable. However, reliably identifying best performance is challenging. This study assesses the possibility to distinguish best performing hospitals on single outcomes and consistency of performance on different outcomes. Methods: Data were derived from the Dutch ColoRectal Audit 2013–2015. Outcomes considered were textbook outcome (colon), (circumferential) resection margins, (serious) complications, mortality, and ‘failure to rescue’. To include uncertainty in rankings, random effect logistic regression models were used to calculate expected ranks (ERs), for each hospital and outcome. Rankability was calculated for each outcome, as a measure of reliability of ranking. Furthermore, correlation between ERs on different outcomes was assessed. Correlation was considered weak <0.40, moderate between 0.40 - 0.59 and strong >0.60. Results: The study included 32 143 patients; of whom 11 373 were treated in 2015 across 84 hospitals, 8181 colon and 3192 rectal cancer patients. In this one-year period ‘Postoperative complications’ had the highest rankability for colon (57%) and rectal (41%) surgery. No (group of) hospital(s) had the highest ER(s) on all outcomes. Correlation between ERs of outcomes was moderate in 2 (of 25) and strong in 4 (of 25) combinations. Rankability of colorectal mortality increased from 14% in 2015 to 35% when data over 2013–2015 were used. Conclusion: The highest reliability of identifying best performance based on an outcome was 57%. However, the balance between reliability and relevance of outcomes is vulnerable. No (group of) hospital(s) could be identified as best performer on all outcomes. Performance was not consistent on outcomes.@en

Background: Accurate diagnosis and staging are crucial to ensure uniform allocation to the optimal treatment methods for non-small cell lung cancer (NSCLC) patients, but may differ among multidisciplinary tumor boards (MDTs). Discordance between clinical and pathologic TNM stage is particularly important for patients with locally advanced NSCLC (stage IIIA) because it may influence their chance of allocation to curative-intent treatment. We therefore aimed to study agreement on staging and treatment to gain insight into MDT decision-making. Research Question: What is the level of agreement on clinical staging and treatment recommendations among MDTs in stage IIIA NSCLC patients? Study Design and Methods: Eleven MDTs each evaluated the same 10 pathologic stage IIIA NSCLC patients in their weekly meeting (n = 110). Patients were selected purposively for their challenging nature. All MDTs received exactly the same clinical information and images per patient. We tested agreement in cT stage, cN stage, cM stage (TNM 8th edition), and treatment proposal among MDTs using Randolph's free-marginal multirater kappa. Results: Considerable variation among the MDTs was seen in T staging (κ, 0.55 [95% CI, 0.34-0.75]), N staging (κ, 0.59 [95% CI, 0.35-0.83]), overall TNM staging (κ, 0.53 [95% CI, 0.35-0.72]), and treatment recommendations (κ, 0.44 [95% CI, 0.32-0.56]). Most variation in T stage was seen in patients with suspicion of invasion of surrounding structures, which influenced such treatment recommendations as induction therapy and type. For N stage, distinction between N1 and N2 disease was an important source of discordance among MDTs. Variation occurred between 2 patients even regarding M stage. A wide range of additional diagnostics was proposed by the MDTs. Interpretation: This study demonstrated high variation in staging and treatment of patients with stage IIIA NSCLC among MDTs in different hospitals. Although some variation may be unavoidable in these challenging patients, we should strive for more uniformity.@en

Background: According to Dutch guidelines, locally excised, low-risk, pT1 or ypT0–1 rectal cancer should not necessarily be followed by completion total mesorectal excision (cTME) in contrast to rectal cancers with higher T stages or unfavorable features. This study evaluated cTME after local excision at a national level with possible determinants for decision-making. Methods: All patients in the Dutch Colorectal Audit (DCRA) who underwent local excision of rectal cancer between 2012 and 2015 were included. Guideline adherence for performing cTME was determined with univariate and multivariate analyses to identify factors related to noncompliance. Results: According to the guidelines, of 530 included patients, cTME was indicated in 283 (53%), and among those, was performed in 82 (29%). Guideline adherence for performing cTME improved significantly (P<.001), from 10% in 2012 to 44% in 2015. Lower Charlson comorbidity index in patients with high-risk pT1 rectal cancer and younger patients (aged 61–70 years vs ≥80 years) with pT≥2 rectal cancer were associated with increased performance of cTME (odds ratio [OR], 13.50; 95% CI, 1.39–131.32, and OR, 6.25; 95% CI, 1.83–21.31, respectively). Conclusions: In this population-based study from the Netherlands, only a minority of patients underwent cTME after local excision of rectal cancer with pathologic features indicating the need for further treatment according to the guidelines. Although the percentage of patients undergoing cTME increased over time, the study indicated a tendency toward rectal-preserving treatment with potential oncologic risks.@en

Objective: To identify, on the basis of past performance, those hospitals that demonstrate good outcomes in sufficient numbers to make it likely that they will provide adequate quality of care in the future, using a combined measure of volume and outcome (CM-V&O). To compare this CM-V&O with measures using outcome-only (O-O) or volume-only (V-O), and verify 2010-quality of care assessment on 2011 data. Design: Secondary analysis of clinical audit data. Setting: The Dutch Surgical Colorectal Audit database of 2010 and 2011, the Netherlands. Participants: 8911 patients (test population, treated in 2010) and 9212 patients (verification population, treated in 2011) who underwent a resection of primary colorectal cancer in 89 Dutch hospitals. Main Outcome Measures: Outcome was measured by Observed/Expected (O/E) postoperative mortality and morbidity. CM-V&O states 2 criteria; 1) outcome is not significantly worse than average, and 2) outcome is significantly better than substandard, with 'substandard care' being defined as an unacceptably high O/E threshold for mortality and/or morbidity (which we set at 2 and 1.5 respectively). Results: Average mortality and morbidity in 2010 were 4.1 and 24.3% respectively. 84 (94%) hospitals performed 'not worse than average' for mortality, but only 21 (24%) of those were able to prove they were also 'better than substandard' (O/E<2). For morbidity, 42 hospitals (47%) met the CM-V&O. Morbidity in 2011 was significantly lower in these hospitals (19.8 vs. 22.8% p<0.01). No relationship was found between hospitals' 2010 performance on O-O en V-O, and the quality of their care in 2011. Conclusion: CM-V&O for morbidity can be used to identify hospitals that provide adequate quality and is associated with better outcomes in the subsequent year.

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Aims: We propose a summarizing measure for outcome indicators, representing the proportion of patients for whom all desired short-term outcomes of care (a 'textbook outcome') is realized. The aim of this study was to investigate hospital variation in the proportion of patients with a 'textbook outcome' after colon cancer resections in the Netherlands. Methods: Patients who underwent a colon cancer resection in 2010 in the Netherlands were included in the Dutch Surgical Colorectal Audit. A textbook outcome was defined as hospital survival, radical resection, no reintervention, no ostomy, no adverse outcome and a hospital stay < 14 days. We calculated the number of hospitals with a significantly higher (positive outlier) or lower (negative outlier) Observed/Expected (O/E) textbook outcome than average. As quality measures may be more discriminative in a low-risk population, analyses were repeated for low-risk patients only. Results: A total of 5582 patients, treated in 82 hospitals were included. Average textbook outcome was 49% (range 26-71%). Eight hospitals were identified as negative outliers. In these hospitals a 'textbook outcome' was realized in 35% vs. 52% in average hospitals (p < 0.01). In a sub-Analysis for low-risk patients, only one additional negative outlier was identified. Conclusions: The textbook outcome, representing the proportion of patients with a perfect hospitalization, gives a simple comprehensive summary of hospital performance, while preventing indicator driven practice. Therewith the 'textbook outcome' is meaningful for patients, providers, insurance companies and healthcare inspectorate.

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Objective: The aim of the study was to identify risk factors for postoperative mortality in patients undergoing surgery for colon cancer. We looked specifically at patients ≥ 80 years of age in whom a nonelective colon cancer resection was performed. Study Design: Observational study. Methods: We included data from 6,161 patients who underwent colon cancer surgery in 2010 in a Dutch hospital; a nonelective colon cancer resection was performed in 1,172 of these patients. Risk factors for postoperative mortality were identified using a multivariate logistic regression analysis. We studied elective and nonelective intestinal resections separately in different age groups. Results: Mortality in the total study population was 4.9%. Mortality increased with age in patients who underwent either elective or nonelective intestinal resection. For patients ≥ 80 years of age who underwent nonelective intestinal resection, each additional risk factor doubled the mortality risk. In patients aged ≥ 80 years with an American Society of Anesthesiologists classification of class ≥ 3 who underwent a left hemicolectomy or 'other' intestinal resection, the postoperative mortality rate was 41%; in patients of the same age without additional risk factors this was 7%. CONCLUSIONS In patients ≥ 80 years of age with 2 or more additional risk factors, nonelective intestinal resection should be considered a high-risk procedure with a mortality risk of up to 41%. This result can be used in clinical decision making concerning treatment and in providing information for patients and their families.

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OBJECTIVE: To investigate the safety of laparoscopic colorectal cancer resections in a nationwide population-based study. BACKGROUND: Although laparoscopic techniques are increasingly used in colorectal cancer surgery, little is known on results outside trials. With the fast introduction of laparoscopic resection (LR), questions were raised about safety. METHODS: Of all patients who underwent an elective colorectal cancer resection in 2010 in the Netherlands, 93% were included in the Dutch Surgical Colorectal Audit. Short-term outcome after LR, open resection (OR), and converted LR were compared in a generalized linear mixed model. We further explored hospital differences in LR and conversion rates. RESULTS: A total of 7350 patients, treated in 90 hospitals, were included. LR rate was 41% with a conversion rate of 15%. After adjustment for differences in case-mix, LR was associated with a lower risk of mortality (odds ratio 0.63, P < 0.01), major morbidity (odds ratio 0.72, P < 0.01), any complications (odds ratio 0.74, P < 0.01), hospital stay more than 14 days (odds ratio 0.71, P < 0.01), and irradical resections (odds ratio 0.68, P < 0.01), compared to OR. Outcome after conversion was similar to OR (P > 0.05). A large variation in LR and conversion rates among hospitals was found; however, the difference in outcome associated with operative techniques was not influenced by hospital of treatment. CONCLUSIONS: Use of laparoscopic techniques in colorectal cancer surgery in the Netherlands is safe and results are better in short-term outcome than open surgery, irrespective of the hospital of treatment. Outcome after conversion was similar to OR.

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Background: Accurate staging of colorectal cancer (CRC) with clinicopathological parameters is important for predicting prognosis and guiding treatment but provides no information about organ site of metastases. Patterns of genomic aberrations in primary colorectal tumors may reveal a chromosomal signature for organ specific metastases.Methods: Array Comparative Genomic Hybridization (aCGH) was employed to asses DNA copy number changes in primary colorectal tumors of three distinctive patient groups. This included formalin-fixed, paraffin-embedded tissue of patients who developed liver metastases (LM; n = 36), metastases (PM; n = 37) and a group that remained metastases-free (M0; n = 25).A novel statistical method for identifying recurrent copy number changes, KC-SMART, was used to find specific locations of genomic aberrations specific for various groups. We created a classifier for organ specific metastases based on the aCGH data using Prediction Analysis for Microarrays (PAM).Results: Specifically in the tumors of primary CRC patients who subsequently developed liver metastasis, KC-SMART analysis identified genomic aberrations on chromosome 20q. LM-PAM, a shrunken centroids classifier for liver metastases occurrence, was able to distinguish the LM group from the other groups (M0&PM) with 80% accuracy (78% sensitivity and 86% specificity). The classification is predominantly based on chromosome 20q aberrations.Conclusion: Liver specific CRC metastases may be predicted with a high accuracy based on specific genomic aberrations in the primary CRC tumor. The ability to predict the site of metastases is important for improvement of personalized patient management.@en