↓ Skip to main content

American Association for Cancer Research

Article Metrics

Potential Medication-Related Problems in Older Breast, Colon, and Lung Cancer Patients in the United States

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, October 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
3 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
44 Mendeley
Title
Potential Medication-Related Problems in Older Breast, Colon, and Lung Cancer Patients in the United States
Published in
Cancer Epidemiology, Biomarkers & Prevention, October 2017
DOI 10.1158/1055-9965.epi-17-0523
Pubmed ID
Authors

Jennifer L. Lund, Hanna K. Sanoff, Sharon Peacock Hinton, Hyman B. Muss, Virginia Pate, Til Stürmer

Abstract

Older adults are often exposed to multiple medications, some of which could be inappropriate or have the potential to interact with each other. Older cancer patients may be at increased risk for medication-related problems due to exposure to cancer-directed treatment. We described patterns of potentially inappropriate medication (PIM) use and potential drug-chemotherapy interactions among adults age 66+ years diagnosed with stage I-III breast, stage II-III colon, and stage I-II lung cancer. Within the Surveillance, Epidemiology, and End Results-Medicare database, patients had to have Medicare Part D coverage with 1+ prescription in the diagnosis month and Medicare Parts A/B coverage in the prior 12 months. We estimated monthly prevalence of any and cancer-related PIM from 6 months pre- to 23 months post-cancer diagnosis and 12-month period prevalence of potential drug-chemotherapy interactions. Overall, 19,318 breast, 7,283 colon, and 7,237 lung cancer patients were evaluated. Monthly PIM prevalence was stable pre-diagnosis (37-40%), but increased in the year following a colon or lung cancer diagnosis, and decreased following a breast cancer diagnosis. Changes in PIM prevalence were driven primarily by cancer-related PIM in patients on chemotherapy. Potential drug-chemotherapy interactions were observed in all cohorts, with prevalent interactions involving hydrochlorothiazide, warfarin, and proton-pump inhibitors. There was a high burden of potential medication-related problems among older cancer patients; future research to evaluate outcomes of these exposures are warranted. Older adults diagnosed with cancer have unique medication management needs. Thus, pharmacy specialists should be integrated into multidisciplinary teams caring for these patients.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 20%
Student > Ph. D. Student 8 18%
Student > Postgraduate 4 9%
Student > Master 4 9%
Researcher 4 9%
Other 6 14%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Pharmacology, Toxicology and Pharmaceutical Science 9 20%
Nursing and Health Professions 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Psychology 2 5%
Other 5 11%
Unknown 13 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 May 2021.
All research outputs
#10,587,570
of 18,009,382 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#2,404
of 3,990 outputs
Outputs of similar age
#142,153
of 288,592 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#21
of 45 outputs
Altmetric has tracked 18,009,382 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,990 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 38th percentile – i.e., 38% 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 288,592 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.