| Title |
Positive Predictive Value of the Diagnosis of Acute Myocardial Infarction in an Administrative Database
|
|---|---|
| Published in |
Journal of General Internal Medicine, December 2001
|
| DOI | 10.1046/j.1525-1497.1999.10198.x |
| Pubmed ID | |
| Authors |
Laura A. Petersen, Steven Wright, Sharon‐Lise T. Normand, Jennifer Daley |
| Abstract |
To determine the positive predictive value of ICD-9-CM coding of acute myocardial infarction and cardiac procedures. Using chart-abstracted data as the standard, we examined administrative data from the Veterans Health Administration for a national random sample of 5,151 discharges. The positive predictive value of acute myocardial infarction coding in the primary position was 96.9%. The sensitivity and specificity of coding were, respectively, 96% and 99% for catheterization, 95.7% and 100% for coronary artery bypass graft surgery, and 90.3% and 99. 7% for percutaneous transluminal coronary angioplasty. The positive predictive value of acute myocardial infarction and related procedure coding is comparable to or better than previously reported observations of administrative databases. |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 55 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 18% |
| Researcher | 9 | 16% |
| Student > Doctoral Student | 7 | 13% |
| Student > Master | 7 | 13% |
| Other | 4 | 7% |
| Other | 11 | 20% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 63% |
| Nursing and Health Professions | 2 | 4% |
| Computer Science | 2 | 4% |
| Economics, Econometrics and Finance | 2 | 4% |
| Mathematics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 10 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 November 2013.
All research outputs
#4,297,832
of 25,371,288 outputs
Outputs from Journal of General Internal Medicine
#2,796
of 8,173 outputs
Outputs of similar age
#12,017
of 131,407 outputs
Outputs of similar age from Journal of General Internal Medicine
#66
of 209 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has gotten more attention than average, scoring higher than 65% 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 131,407 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 209 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 67% of its contemporaries.