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Validity of administrative data in recording sepsis: a systematic review

Overview of attention for article published in Critical Care, December 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

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7 X users
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1 Facebook page

Citations

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141 Dimensions

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116 Mendeley
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Title
Validity of administrative data in recording sepsis: a systematic review
Published in
Critical Care, December 2015
DOI 10.1186/s13054-015-0847-3
Pubmed ID
Authors

Rachel J Jolley, Keri Jo Sawka, Dean W Yergens, Hude Quan, Nathalie Jetté, Christopher J Doig

Abstract

Administrative health data have been used to study sepsis in large population-based studies. Validity of these study findings depends largely on the quality of the administrative data source and the validity of the case definition used. We systematically reviewed the literature to assess the validity of case definitions of sepsis used with administrative data. Embase and MEDLINE were searched for published articles with International Classification of Diseases (ICD) coded data used to define sepsis. Abstracts and full text articles were reviewed in duplicate. Data were abstracted from all eligible full text articles, including ICD-9 and/or ICD-10 based case definitions, sensitivity (Sn), specificity (Sp), positive predictive values (PPV) and negative predictive values (NPV). Of 2317 individual studies identified, 12 full text articles met all eligibility criteria. A total of 38 sepsis case definitions were tested, which included over 130 different ICD codes. The most common ICD-9 codes were 038.x, 790.7, and 995.92 and ICD-10 codes were A40.x and A41.x. The PPV was reported in 10 studies, and ranged from 5.6% to 100% with a median of 50%. Other tests of diagnostic accuracy were only reported in some studies. Sn ranged from 5.9% to 82.3%, Sp ranged from 78.3% to 100% and NPV ranged from 62.1% to 99.7%. Validity of administrative data in recording sepsis varied substantially across individual studies and ICD definitions. Our work may serve as a reference point for consensus towards an improved harmonized ICD-coded definition of sepsis.

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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 113 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 14%
Student > Master 16 14%
Student > Ph. D. Student 15 13%
Other 14 12%
Professor 7 6%
Other 28 24%
Unknown 20 17%
Readers by discipline Count As %
Medicine and Dentistry 50 43%
Nursing and Health Professions 5 4%
Agricultural and Biological Sciences 5 4%
Social Sciences 5 4%
Business, Management and Accounting 4 3%
Other 19 16%
Unknown 28 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 April 2016.
All research outputs
#7,714,335
of 25,374,647 outputs
Outputs from Critical Care
#4,134
of 6,554 outputs
Outputs of similar age
#110,373
of 395,421 outputs
Outputs of similar age from Critical Care
#362
of 466 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 36th percentile – i.e., 36% 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 395,421 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 71% of its contemporaries.
We're also able to compare this research output to 466 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.