A systematic review of validated methods for identifying atrial fibrillation using administrative data
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.014 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
PURPOSE: The objectives of this study were to characterize the validity of algorithms to identify AF from electronic health data through a systematic review of the literature and to identify gaps needing further research. METHODS: Two reviewers examined publications during 1997-2008 that identified patients with atrial fibrillation (AF) from electronic health data and provided validation information. We abstracted information including algorithm sensitivity, specificity, and positive predictive value (PPV). RESULTS: We reviewed 544 abstracts and 281 full-text articles, of which 18 provided validation information from 16 unique studies. Most used data from before 2000, and 10 of 16 used only inpatient data. Three studies incorporated electronic ECG data for case identification or validation. A large proportion of prevalent AF cases identified by ICD-9 code 427.31 were valid (PPV 70%-96%, median 89%). Seven studies reported algorithm sensitivity (range, 57%-95%, median 79%). One study validated an algorithm for incident AF and reported a PPV of 77%. CONCLUSIONS: The ICD-9 code 427.31 performed relatively well, but conclusions about algorithm validity are hindered by few recent data, use of nonrepresentative populations, and a disproportionate focus on inpatient data. An optimal contemporary algorithm would likely draw on inpatient and outpatient codes and electronic ECG data. Additional research is needed in representative, contemporary populations regarding algorithms that identify incident AF and incorporate electronic ECG data.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Pharmacoepidemiology and Drug Safety
- Topic
- Atrial Fibrillation Management and Outcomes
- Field
- Medicine
- Canadian institutions
- —
- Funders
- National Institute on AgingNational Heart, Lung, and Blood InstituteU.S. Food and Drug AdministrationHamilton Health Sciences FoundationU.S. Department of Health and Human Services
- Keywords
- MedicineDiagnosis codeAtrial fibrillationElectronic dataPredictive valuePharmacoepidemiologyData miningInformation retrievalInternal medicineComputer sciencePopulation
- Has abstract in OpenAlex
- yes