Evidence map›Paper›PMID 25848582›Full record

ArticleEGEMS (Washington, DC)2013

Validation of Diagnostic and Procedural Codes for Identification of Acute Cardiovascular Events in US Veterans with Rheumatoid Arthritis.

Lisa A Davis, Alyse Mann, Grant W Cannon, Ted R Mikuls, Andreas M Reimold, Liron Caplan

Open access · diamondAbstract read
In one paragraph

Article in EGEMS (Washington, DC), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Lisa A DavisDenver Health and Hospital Authority ; Denver Veterans Affairs Medical Center (VAMC) ; University of Colorado School of Medicine.
Alyse MannDenver Veterans Affairs Medical Center (VAMC).
Grant W CannonGeorge E Wahlen VAMC.
Ted R MikulsOmaha VAMC and University of Nebraska Medical Center.
Andreas M ReimoldDallas VAMC.
Liron CaplanDenver Veterans Affairs Medical Center (VAMC) ; University of Colorado School of Medicine.
Denver VA Medical Center · USDallas VA Medical Center · USGeorge E. Wahlen Department of VA Medical Center · USOmaha VA Medical Center · USVeterans Health Administration · US

Funding

Research Training in Rheumatology INCLUDE Down Syndrome SupplementT32AR007534 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI Kristine A. Kuhn · 1986 to 2026
$6.1M
NIAMS NIH HHS T32 AR007534
6 · The paper itself

Abstract

objectiveTo assess the accuracy of International Classification of Diseases, Ninth Revision, and Current Procedural Terminology codes for identifying cardiovascular (CV) events (myocardial infarction [MI], stroke, coronary artery bypass graft [CABG], and percutaneous coronary intervention [PCI]) in enrollees of the Veterans Affairs Rheumatoid Arthritis (VARA) registry.

designWe performed a validation study from VARA enrollment until 6/1/2010 to compare the accuracy of CV events in those with and without CV-event coding in inpatient and outpatient records to evaluate for CV events +/- 3 months of the coding. The positive predictive value (PPV) was calculated, and codes with a PPV ≥50% were included in a composite coding algorithm.

resultsWe evaluated 107 individuals for 21 CV-event codes and 60 individuals without CV-event coding. The PPV varied between 0-100%. Composite coding algorithms' PPV ranged from 70-100%.

conclusionsValidation of these algorithms allows for identification of acute CV events with known accuracy. The sensitivity and PPV of coding algorithms for CABG and PCI exceed that of stroke and MI.

Indexed as

Cohort IdentificationData ReuseMethods

Identifiers

PMID25848582
PMCPMC4371488
OpenAlexW1969760679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.