The influence of hospital volume and surgical treatment delay on long-term survival after cancer surgery

Yun, Young Ho; Kim, Y. A.; Min, Yuan-I; Park, S.; Won, Young Joo; Kim, D. Y.; Choi, Il Ju; Kim, Y. W.; Park, S. J.; Kim, J. H.; Lee, D. H.; Yoon, Seok Jun; Jeong, Seung‐Yong; Noh, Dong‐Young; Heo, Dae Seog

doi:10.1093/annonc/mds101

Cited by 172 publications

(182 citation statements)

References 26 publications

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“…A previous study on the relationship between hospital volume/treatment delay and survival after cancer surgery indicated that improved outcomes were found in patients treated in high volume hospitals [24]. It was reported that many quality-of-care factors may contribute to a better prognosis in high service volume hospitals, including completeness of surgical resection, number of lymph nodes yielded, application of multimodality therapeutic protocol, and better treatment of comorbidities [24]. …”

Section: Discussionmentioning

confidence: 99%

Influence of time interval from diagnosis to treatment on survival for oral cavity cancer: A nationwide cohort study

et al. 2017

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ObjectivesWe aimed to explore the relationship between the time interval from diagnosis to treatment and survival of oral cavity squamous cell carcinoma patients.Materials and methodsA population-based study was conducted between 2004 and 2010. Claims data of oral squamous cell carcinoma patients were retrieved from the Taiwan Cancer Registry Database. Secondary data were obtained from Taiwan’s National Health Insurance Research Database.ResultsA total of 21,263 patients were included in the final analysis. The majority of the patients received treatment within 30 days of diagnosis (n = 18,193, 85.5%), while 572 patients (2.7%) underwent treatment after 120 days. The patients who were treated after 120 days had a higher risk of death when compared to those treated within 30 days (Hazard ratio: 1.32, 95% Confidence intervals: 1.19 to 1.47).ConclusionA longer time interval from diagnosis to treatment was found to be associated with a poorer prognosis among patients suffering from oral squamous cell carcinoma.

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Section: Discussionmentioning

confidence: 99%

Influence of time interval from diagnosis to treatment on survival for oral cavity cancer: A nationwide cohort study

et al. 2017

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“…Also, surgical mortality might be low because the NCC in Korea is a high-volume center. Surgical patients in high-volume hospitals have shown significantly better survival than those in low-to medium-volume hospitals (27). Here, we included only patients who had R0 resection carried out.…”

Section: Discussionmentioning

confidence: 99%

Association of Smoking History with Cancer Recurrence and Survival in Stage III–IV Male Gastric Cancer Patients

Han

Kim

Choi

et al. 2013

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background: Smoking and drinking alcohol are major risk factors for cancer development, and we investigated their effects on gastric cancer prognosis following initial resection.Methods: Data from male patients with stage III-IV gastric adenocarcinoma who underwent surgery between 2001 and 2006 were retrospectively reviewed. Patients were followed up until 2011. Kaplan-Meier plots and Cox proportional hazards regressions were applied for survival rates.Results: Among 238 patients, 151 (63.4%) smoked and 146 (61.3%) drank alcohol. Current smokers had an increased risk of cancer recurrence or death from any cause [adjusted HR (aHR), 1.94; 95% confidence interval (CI), 1.18-3.21], cancer recurrence (aHR, 1.89; 95% CI, 1.12-3.21), and overall mortality (aHR, 2.14; 95% CI, 1.23-3.73) compared with never-smokers. Patients with a lifetime cigarette smoking of <40 and !40 pack-years had increased cancer recurrence or death from any cause (aHR, 1.72 and 2.43, respectively; 95% CI, 1.03-2.86 and 1.38-4.30, respectively), cancer recurrence (aHR, 1.63 and 2.61, respectively; 95% CI, 0.95-2.79 and 1.43-4.77, respectively), and overall mortality (aHR, 1.92 and 2.75, respectively; 95% CI, 1.09-3.38 and 1.47-5.12, respectively) compared with never-smokers. However, drinking alcohol was not associated with postsurgery survival.Conclusions: Cigarette-smoking history at the time of diagnosis, but not drinking history, is associated with cancer recurrence and poor survival after surgery in male patients with stage III-IV gastric cancer.Impact: These findings encourage physicians to advise patients with gastric cancer to stop smoking to obtain a general health benefit and likely improvement in the gastric cancer course. Cancer Epidemiol Biomarkers Prev; 22(10); 1805-12. Ó2013 AACR.

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“…travel distance and increased crowding on the other (Distante et al, 2004;Bouche et al, 2008;Stitzenberg et al, 2009;Yun et al 2012). Unfortunately, our data do not include information on comorbidity, which is, however, highly correlated with socioeconomic position and therefore partially adjusted for in the analyses.…”

Section: Timeliness Indicatorsmentioning

confidence: 97%

Absence of socioeconomic inequalities in access to good-quality breast cancer treatment within a population-wide screening programme in Turin (Italy)

Zengarini

Ponti

Tomatis

et al. 2016

European Journal of Cancer Prevention

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Several studies suggest that population-based breast cancer screening programmes might help reduce social inequalities in breast cancer survival both by increasing early diagnosis and by improving access to effective treatments. To start disentangling the two effects, we evaluated social inequalities in quality of treatment of screen-detected breast cancer in the city of Turin (Italy). Combining data from the Audit System on Quality of Breast Cancer Treatment and the Turin Longitudinal Study, we analysed 2700 cases in the screening target age class 50-69 diagnosed in the period 1995-2008. We selected 10 indicators of the pathway of care, relative to timeliness and appropriateness of diagnosis and treatment, and three indicators of socioeconomic position: education, occupational status and housing characteristics. For each indicator of care, relative risks of failure were estimated by robust Poisson regression models, controlling for calendar period of diagnosis, size of tumour and activity volume of the surgery units. The principal predictor of failure of the good care indicators was the calendar period of diagnosis, with a general improvement with time in the quality of diagnosis and treatment, followed by size of the tumour and volume of activity. Socioeconomic indicators show only a marginal independent effect on timeliness indicators. The observed associations of quality indicators with socioeconomic characteristics are lower than expected, suggesting a possible role of the screening programme in reducing disparities in the access to good-quality treatments thanks to its capability to enter screen-detected women into a protected pathway of care.

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The influence of hospital volume and surgical treatment delay on long-term survival after cancer surgery

Abstract: Our findings suggest that the effect of hospital volume and surgical treatment delay on overall survival of cancer patients should be considered in formulating or revising national health policy.

Cited by 172 publications

References 26 publications

Influence of time interval from diagnosis to treatment on survival for oral cavity cancer: A nationwide cohort study

Influence of time interval from diagnosis to treatment on survival for oral cavity cancer: A nationwide cohort study

Association of Smoking History with Cancer Recurrence and Survival in Stage III–IV Male Gastric Cancer Patients

Absence of socioeconomic inequalities in access to good-quality breast cancer treatment within a population-wide screening programme in Turin (Italy)

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