Tulane University School of Medicine, New Orleans, Louisiana 70112, USA.
J Urol. 2011 Dec;186(6):2342-6. doi: 10.1016/j.juro.2011.07.069. Epub 2011 Oct 20.
We examined the association between urological cancer mortality rates and the presence of physicians. We hypothesized that cancer mortality rates increase with a low physician population density since this would decrease the detection of cancers at an early stage.
Mortality rates for prostate cancer, bladder cancer, kidney and renal pelvis cancer, and cancer at all sites for white patients in United States counties from 2003 to 2007 were obtained from the National Vital Statistics System. High and low rate groups of counties were reviewed for each type of cancer. The high rate groups consisted of 15 or 25 counties with the highest cancer mortality rates. The low rate groups consisted of counties, selected from the same states as high rate groups, with the lowest mortality rates. Levels of physicians per 10,000 general population, income, poverty and no health insurance were compared between the high and low cancer rate groups.
There was a statistically significant inverse association between physician population density levels and kidney and renal pelvis cancer mortality rates. The association was suggestive for bladder cancer and prostate cancer mortality but not for cancer at all sites. There was also a tendency for an inverse association between family income and cancer mortality rates.
Kidney and renal pelvis cancer mortality rates increased significantly with a low physician population density. We found a suggestive but not significant negative association between physician population density and mortality rates for prostate cancer and bladder cancer but not for cancer at all sites. Low family income was associated with higher cancer rates.
我们研究了泌尿外科癌症死亡率与医生数量之间的关系。我们假设,由于癌症在早期阶段的检出率降低,癌症死亡率会随着医生人口密度的降低而升高。
我们从国家生命统计系统获取了 2003 年至 2007 年美国县白人患者前列腺癌、膀胱癌、肾癌和肾盂癌以及所有部位癌症的死亡率数据。对每种癌症的县进行了高死亡率组和低死亡率组的回顾。高死亡率组由 15 个或 25 个癌症死亡率最高的县组成。低死亡率组由与高死亡率组相同州的县组成,这些县的死亡率最低。我们比较了高、低癌症死亡率组每 10000 人中有多少医生、收入、贫困和无健康保险的情况。
医生人口密度水平与肾癌和肾盂癌死亡率之间存在统计学上显著的负相关。这种关联对膀胱癌和前列腺癌的死亡率有提示作用,但对所有部位的癌症死亡率没有提示作用。家庭收入与癌症死亡率之间也存在负相关的趋势。
肾癌和肾盂癌死亡率随着医生人口密度的降低而显著升高。我们发现,医生人口密度与前列腺癌和膀胱癌死亡率之间存在负相关,但这种关联仅具有提示作用,而不是显著的,而不是所有部位的癌症死亡率。低收入家庭与更高的癌症发病率有关。