Evidence map›Paper›PMID 37479225›Full record

ArticleEuropean journal of cardiovascular nursing2024

Characterizing atrial fibrillation symptom improvement following de novo catheter ablation.

Meghan Reading Turchioe, Alexander Volodarskiy, Winston Guo, Brittany Taylor, Mollie Hobensack, Jyotishman Pathak, David Slotwiner

Open access · bronzeAbstract read
In one paragraph

Article in European journal of cardiovascular nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 2 institutions in 1 country.

Meghan Reading TurchioeColumbia University School of Nursing, 560 W. 168th Street, New York, NY 10032, USA.ORCID 0000-0002-6264-6320
Alexander VolodarskiyDepartment of Cardiology, NewYork-Presbyterian Queens Hospital, 56-45 Main St, Queens, NY 11355, USA.
Winston GuoDepartment of Population Health Sciences, Weill Cornell Medicine, 402 E 67th St, New York, NY 10065, USA.
Brittany TaylorColumbia University School of Nursing, 560 W. 168th Street, New York, NY 10032, USA.
Mollie HobensackColumbia University School of Nursing, 560 W. 168th Street, New York, NY 10032, USA.ORCID 0000-0003-2852-4175
Jyotishman PathakDepartment of Population Health Sciences, Weill Cornell Medicine, 402 E 67th St, New York, NY 10065, USA.
David SlotwinerDepartment of Cardiology, NewYork-Presbyterian Queens Hospital, 56-45 Main St, Queens, NY 11355, USA.ORCID 0000-0002-4130-0419
Cornell University · USColumbia University · US

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Data-driven shared decision-making to reduce symptom burden in atrial fibrillationR00NR019124 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TURCHIOE, MEGHAN READING · 2022 to 2024
$732k
NIH HHS R00NR019124NINR NIH HHS R00 NR019124NINR NIH HHS T32 NR007969
6 · The paper itself

Abstract

aimsAtrial fibrillation (AF) symptom relief is a primary indication for catheter ablation, but AF symptom resolution is not well characterized. The study objective was to describe AF symptom documentation in electronic health records (EHRs) pre- and post-ablation and identify correlates of post-ablation symptoms. METHODS AND

resultsWe conducted a retrospective cohort study using EHRs of patients with AF (n = 1293), undergoing ablation in a large, urban health system from 2010 to 2020. We extracted symptom data from clinical notes using a natural language processing algorithm (F score: 0.81). We used Cochran's Q tests with post-hoc McNemar's tests to determine differences in symptom prevalence pre- and post-ablation. We used logistic regression models to estimate the adjusted odds of symptom resolution by personal or clinical characteristics at 6 and 12 months post-ablation. In fully adjusted models, at 12 months post-ablation patients, patients with heart failure had significantly lower odds of dyspnoea resolution [odds ratio (OR) 0.38, 95% confidence interval (CI) 0.25-0.57], oedema resolution (OR 0.37, 95% CI 0.25-0.56), and fatigue resolution (OR 0.54, 95% CI 0.34-0.85), but higher odds of palpitations resolution (OR 1.90, 95% CI 1.25-2.89) compared with those without heart failure. Age 65 and older, female sex, Black or African American race, smoking history, and antiarrhythmic use were also associated with lower odds of resolution of specific symptoms at 6 and 12 months.

conclusionThe post-ablation symptom patterns are heterogeneous. Findings warrant confirmation with larger, more representative data sets, which may be informative for patients whose primary goal for undergoing an ablation is symptom relief.

Indexed as

Atrial FibrillationCatheter AblationHeart FailureAgedAnti-Arrhythmia AgentsFemaleHumansRetrospective StudiesTreatment OutcomeAnti-Arrhythmia AgentsAtrial fibrillationCatheter ablationNatural language processingSigns and symptoms

Identifiers

PMID37479225
PMCPMC11008952
OpenAlexW4384935432

What OpenQuestion holds

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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.