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A new prognostic scale for the early prediction of ischemic stroke recovery mainly based on traditional Chinese medicine symptoms and NIHSS score: a retrospective cohort study

Overview of attention for article published in BMC Complementary and Alternative Medicine, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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2 tweeters
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2 Facebook pages

Citations

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5 Dimensions

Readers on

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34 Mendeley
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Title
A new prognostic scale for the early prediction of ischemic stroke recovery mainly based on traditional Chinese medicine symptoms and NIHSS score: a retrospective cohort study
Published in
BMC Complementary and Alternative Medicine, November 2015
DOI 10.1186/s12906-015-0903-1
Pubmed ID
Authors

Ke-Gang Cao, Cai-Hong Fu, Huan-Qin Li, Xi-Yan Xin, Ying Gao

Abstract

Ischemic stroke (IS) is a common disease, often resulting in death or disability. Previous studies on prognosis of stroke mainly focused on the baseline condition or modern expensive tests. However, the change of clinical symptoms during acute stage is considerably neglected. In our study, we aim to develop a new prognostic scale to predict the 90-day outcome of IS patients. In this retrospective cohort study, a secondary data analysis was performed on 489 patients extracted from 1046 patients of 4 hospitals. A new prognostic scale was constructed to predict the recovery of IS mainly based on the National Institutes of Health Stroke Scale (NIHSS) score, traditional Chinese Medicine (TCM) symptoms & signs and the changes during the first 3 days of patients in the 3 TCM hospitals. Receiver Operating Characteristic (ROC) curve was used to determine the cutoff point for prediction. In the end, the scale was used to test the outcome of IS patients in Xuanwu hospital. The new prognostic scale was composed of 8 items including age degree (OR = 3.32; 95 % CI: 1.72-6.42), history of diabetes mellitus (DM) (OR = 2.20; 95 % CI: 1.19-4.08), NIHSS score (OR = 3.08; 95 % CI: 2.16-4.40), anxiety (OR = 3.17; 95 % CI: 1.90-5.29) and irritability (OR = 4.61; 95 % CI: 1.36-15.63) on the 1st day of illness onset, change in NIHSS score (OR = 2.49; 95 % CI: 1.31-4.73), and circumrotating (OR = 7.80; 95 % CI: 1.98-30.64) and tinnitus (OR = 13.25; 95 % CI: 1.55-113.34) during the first 3 days of stroke onset. The total score of the scale was 16.5 and the cutoff point was 9.5, which means patients would have poor outcome at 90 days of stroke onset if the score was higher than 9.5. The new scale was validated on the data of Xuanwu hospital, and the value of its sensitivity, specificity and overall accuracy were 69.6 %, 83.3 % and 75.0 % respectively. The 8-item scale, mainly based on TCM symptoms, NIHSS score and their changes during the first 3 days, can predict the 90-day outcome for IS patients while it still needs to be further validated and optimized clinically.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Researcher 4 12%
Other 4 12%
Student > Doctoral Student 4 12%
Student > Bachelor 2 6%
Other 5 15%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 11 32%
Neuroscience 3 9%
Mathematics 3 9%
Computer Science 2 6%
Social Sciences 2 6%
Other 4 12%
Unknown 9 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 April 2016.
All research outputs
#8,148,988
of 15,466,991 outputs
Outputs from BMC Complementary and Alternative Medicine
#1,037
of 2,965 outputs
Outputs of similar age
#136,216
of 365,903 outputs
Outputs of similar age from BMC Complementary and Alternative Medicine
#111
of 341 outputs
Altmetric has tracked 15,466,991 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,965 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 63% 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 365,903 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 341 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 66% of its contemporaries.