Evidence map›Paper›PMID 29360144›Full record

ArticleClinical cardiology2018

Agreement between coding schemas used to identify bleeding-related hospitalizations in claims analyses of nonvalvular atrial fibrillation patients.

Craig I Coleman, Tatsiana Vaitsiakhovich, Elaine Nguyen, Erin R Weeda, Nitesh A Sood, Thomas J Bunz, Bernhard Schaefer, Anna-Katharina Meinecke, Daniel Eriksson

Abstract readMulticenter Study
In one paragraph

Article in Clinical cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

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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

9 authors.

Craig I ColemanDepartment of Pharmacy Practice, University of Connecticut School of Pharmacy, Storrs, Connecticut.ORCID http://orcid.org/0000-0003-4868-7158
Tatsiana VaitsiakhovichReal-World Evidence Strategy and Outcomes Data Generation, Bayer AG, Berlin, Germany.
Elaine NguyenDepartment of Pharmacy Practice, Idaho State University College of Pharmacy, Pocatello, Idaho.
Erin R WeedaDepartment of Pharmacy Practice, Medical University of South Carolina College of Pharmacy, Charleston, South Carolina.
Nitesh A SoodDepartment of Cardiac Electrophysiology, Southcoast Health System, Fall River, Massachusetts.
Thomas J BunzPharmacoepidemiology, New England Health Analytics, LLC, Granby, Connecticut.
Bernhard SchaeferReal-World Evidence Strategy and Outcomes Data Generation, Bayer AG, Berlin, Germany.
Anna-Katharina MeineckeReal-World Evidence Strategy and Outcomes Data Generation, Bayer AG, Berlin, Germany.
Daniel ErikssonReal-World Evidence Strategy and Outcomes Data Generation, Bayer AG, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSchemas to identify bleeding-related hospitalizations in claims data differ in billing codes used and coding positions allowed. We assessed agreement across bleeding-related hospitalization coding schemas for claims analyses of nonvalvular atrial fibrillation (NVAF) patients on oral anticoagulation (OAC). HYPOTHESIS: We hypothesized that prior coding schemas used to identify bleeding-related hospitalizations in claim database studies would provide varying levels of agreement in incidence rates.

methodsWithin MarketScan data, we identified adults, newly started on OAC for NVAF from January 2012 to June 2015. Billing code schemas developed by Cunningham et al., the US Food and Drug Administration (FDA) Mini-Sentinel program, and Yao et al. were used to identify bleeding-related hospitalizations as a surrogate for major bleeding. Bleeds were subcategorized as intracranial hemorrhage (ICH), gastrointestinal (GI), or other. Schema agreement was assessed by comparing incidence, rates of events/100 person-years (PYs), and Cohen's kappa statistic.

resultsWe identified 151 738 new-users of OAC with NVAF (CHA2DS2-VASc score = 3, [interquartile range = 2-4] and median HAS-BLED score = 3 [interquartile range = 2-3]). The Cunningham, FDA Mini-Sentinel, and Yao schemas identified any bleeding-related hospitalizations in 1.87% (95% confidence interval [CI]: 1.81-1.94), 2.65% (95% CI: 2.57-2.74), and 4.66% (95% CI: 4.55-4.76) of patients (corresponding rates = 3.45, 4.90, and 8.65 events/100 PYs). Kappa agreement across schemas was weak-to-moderate (κ = 0.47-0.66) for any bleeding hospitalization. Near-perfect agreement (κ = 0.99) was observed with the FDA Mini-Sentinel and Yao schemas for ICH-related hospitalizations, but agreement was weak when comparing Cunningham to FDA Mini-Sentinel or Yao (κ = 0.52-0.53). FDA Mini-Sentinel and Yao agreement was moderate (κ = 0.62) for GI bleeding, but agreement was weak when comparing Cunningham to FDA Mini-Sentinel or Yao (κ = 0.44-0.56). For other bleeds, agreement across schemas was minimal (κ = 0.14-0.38).

conclusionsWe observed varying levels of agreement among 3 bleeding-related hospitalizations schemas in NVAF patients.

Indexed as

AgedAnticoagulantsAtrial FibrillationBlood CoagulationFemaleFollow-Up StudiesHemorrhageHospitalizationHumansIncidenceInsurance Claim ReviewMaleRetrospective StudiesRisk AssessmentRisk FactorsROC CurveAnticoagulantsWarfarinAgreementAnticoagulantsAtrial FibrillationClinical CodingHemorrhage

Identifiers

PMID29360144
PMCPMC6489698

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Registered trials

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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.