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Validation of an automatically generated screening score for frailty: the care assessment need (CAN) score

Overview of attention for article published in BMC Geriatrics, May 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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1 news outlet
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1 blog
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7 X users

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85 Mendeley
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Title
Validation of an automatically generated screening score for frailty: the care assessment need (CAN) score
Published in
BMC Geriatrics, May 2018
DOI 10.1186/s12877-018-0802-7
Pubmed ID
Authors

Jorge G. Ruiz, Shivani Priyadarshni, Zubair Rahaman, Kimberly Cabrera, Stuti Dang, Willy M. Valencia, Michael J. Mintzer

Abstract

Frailty is a state of vulnerability to stressors that is prevalent in older adults and is associated with higher morbidity, mortality and healthcare utilization. Multiple instruments are used to measure frailty; most are time-consuming. The Care Assessment Need (CAN) score is automatically generated from electronic health record data using a statistical model. The methodology for calculation of the CAN score is consistent with the deficit accumulation model of frailty. At a 95 percentile, the CAN score is a predictor of hospitalization and mortality in Veteran populations. The purpose of this study was to validate the CAN score as a screening tool for frailty in primary care. This is a cross-sectional, validation study compared the CAN score with a 40-item Frailty Index reference standard based on a comprehensive geriatric assessment. We included community-dwelling male patients over age 65 from an outpatient geriatric medicine clinic. We calculated the sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of the CAN score. 184 patients over age 65 were included in the study: 97.3% male, 64.2% White, 80.9% non-Hispanic. The CGA-based Frailty Index defined 14.1% as robust, 53.3% as prefrail and 32.6% as frail. For the frail, statistical analysis demonstrated that a CAN score of 55 provides sensitivity, specificity, PPV and NPV of 91.67, 40.32, 42.64 and 90.91% respectively whereas at a score of 95 the sensitivity, specificity, PPV and NPV were 43.33, 88.81, 63.41, 77.78% respectively. Area under the receiver operating characteristics curve was 0.736 (95% CI = .661-.811). CAN score is a potential screening tool for frailty among older adults; it is generated automatically and provides acceptable diagnostic accuracy. Hence, the CAN score may be a useful tool to primary care providers for detection of frailty in their patient panels.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Researcher 9 11%
Student > Doctoral Student 8 9%
Student > Master 7 8%
Student > Postgraduate 5 6%
Other 14 16%
Unknown 31 36%
Readers by discipline Count As %
Medicine and Dentistry 18 21%
Nursing and Health Professions 15 18%
Social Sciences 5 6%
Psychology 2 2%
Computer Science 2 2%
Other 8 9%
Unknown 35 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 June 2023.
All research outputs
#1,887,822
of 23,848,132 outputs
Outputs from BMC Geriatrics
#412
of 3,284 outputs
Outputs of similar age
#41,307
of 329,907 outputs
Outputs of similar age from BMC Geriatrics
#15
of 59 outputs
Altmetric has tracked 23,848,132 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,284 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has done well, scoring higher than 87% of its peers.
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 329,907 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.