Literature DB >> 12727557

Is there a relationship between case volume and survival in breast cancer?

Keith F Harcourt1, Kay L Hicks.   

Abstract

BACKGROUND: Several studies have suggested that case volume predicts survival in breast cancer, that patients treated in hospitals with larger case volumes survive longer. The present study is a review of cases from the Blue Mountain Regional Tumor Registry and tests that hypothesis.
METHODS: A review was made of 2,409 breast cancer cases accessioned from nine hospitals between 1980 and 1995, tabulating hospital annual case volume, stage at diagnosis, age, treatment, and 5-year relative survival rate. Correlations and probabilities are presented.
RESULTS: Survival correlates with stage at diagnosis (P <0.001), but not with hospital case volume (P = 0.40).
CONCLUSIONS: If, as in this study, survival correlates with stage at diagnosis and not with case volume, then improving survival requires identifying cases earlier. To do that requires improving saturation of the population at risk with effective screening and improving access to healthcare. That implies dispersing services instead of concentrating them in high-volume centers.

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Year:  2003        PMID: 12727557     DOI: 10.1016/s0002-9610(03)00043-6

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  3 in total

1.  High hospital volume is associated with better outcomes for breast cancer surgery: analysis of 233,247 patients.

Authors:  Ulrich Guller; Shawn Safford; Ricardo Pietrobon; Michael Heberer; Daniel Oertli; Nitin B Jain
Journal:  World J Surg       Date:  2005-08       Impact factor: 3.352

2.  Re-examining the significance of surgical volume to breast cancer survival and recurrence versus process quality of care in Taiwan.

Authors:  Raymond N Kuo; Kuo-Piao Chung; Mei-Shu Lai
Journal:  Health Serv Res       Date:  2012-06-07       Impact factor: 3.402

3.  Reexamining the Relationship of Breast Cancer Hospital and Surgical Volume to Mortality: An Instrumental Variable Analysis.

Authors:  Liliana E Pezzin; Purushottam Laud; Tina W F Yen; Joan Neuner; Ann B Nattinger
Journal:  Med Care       Date:  2015-12       Impact factor: 2.983

  3 in total

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