| Title |
Receipt of Cancer Screening Is a Predictor of Life Expectancy
|
|---|---|
| Published in |
Journal of General Internal Medicine, June 2016
|
| DOI | 10.1007/s11606-016-3787-y |
| Pubmed ID | |
| Authors |
James S. Goodwin, Kristin Sheffield, Shuang Li, Alai Tan |
| Abstract |
Obtaining cancer screening on patients with limited life expectancy has been proposed as a measure for low quality care for primary care physicians (PCPs). However, administrative data may underestimate life expectancy in patients who undergo screening. To determine the association between receipt of screening mammography or PSA and overall survival. Retrospective cohort study from 1/1/1999 to 12/31/2012. Receipt of screening was assessed for 2001-2002 and survival from 1/1/2003 to 12/31/2012. Life expectancy was estimated as of 1/1/03 using a validated algorithm, and was compared to actual survival for men and women, stratified by receipt of cancer screening. A 5 % sample of Medicare beneficiaries aged 69-90 years as of 1/1/2003 (n = 906,723). Receipt of screening mammography in 2001-2002 for women, or a screening PSA test in 2002 for men. Survival from 1/1/2003 through 12/31/2012. Subjects were stratified by life expectancy based on age and comorbidity. Within each stratum, the subjects with prior cancer screening had actual median survivals higher than those who were not screened, with differences ranging from 1.7 to 2.1 years for women and 0.9 to 1.1 years for men. In a Cox model, non-receipt of screening in women had an impact on survival (HR = 1.52; 95 % CI = 1.51, 1.54) similar in magnitude to a diagnosis of complicated diabetes or heart failure, and was comparable to uncomplicated diabetes or liver disease in men (HR = 1.23; 1.22, 1.25). Receipt of cancer screening is a powerful marker of health status that is not captured by comorbidity measures in administrative data. Because life expectancy algorithms using administrative data underestimate the life expectancy of patients who undergo screening, they can overestimate the problem of cancer screening in patients with limited life expectancy. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 4 | 10% |
| Other | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 18 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 13% |
| Nursing and Health Professions | 3 | 8% |
| Psychology | 2 | 5% |
| Business, Management and Accounting | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 24 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 October 2016.
All research outputs
#21,420,714
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#7,217
of 7,806 outputs
Outputs of similar age
#312,979
of 356,689 outputs
Outputs of similar age from Journal of General Internal Medicine
#78
of 105 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 356,689 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.