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Atrial Flutter

Cardiovascular Medicine · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 6 min read

Rapid, irregular atrial contractions caused by a block of electrical impulse conduction in the right atrium and a reentrant wave front traveling up the inter-atrial septum and down the right atrial free wall or vice versa.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (1,246 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Rapid, irregular atrial contractions caused by a block of electrical impulse conduction in the right atrium and a reentrant wave front traveling up the inter-atrial septum and down the right atrial free wall or vice versa. Unlike atrial fibrillation which is caused by abnormal impulse generation, typical atrial flutter is caused by abnormal impulse conduction. As in atrial fibrillation, patients with atrial flutter cannot effectively pump blood into the lower chambers of the heart (heart ventricles).

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Atrial Flutters; Flutter, Atrial; Flutters, Atrial; Auricular Flutter; Auricular Flutters; Flutter, Auricular; Flutters, Auricular.

Where it fits in the MeSH classification

Broader topics
Arrhythmias, Cardiac

Related concepts

  • Atrial Fibrillation
  • Heart Ventricles

Research landscape

PubMed indexes 6,732 records tagged with the MeSH heading “Atrial Flutter” (counts retrieved 2026-10-29). 870 of them (12.9%) were published from 2020 onward, and the busiest period so far is through 1999 with 3,017 records.

Reviews account for 688 records (10.2%) and meta-analyses for 65. Randomized controlled trials number 283 (4.2%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 3,017 records; 2000-2009: 1,464 records; 2010-2019: 1,381 records; 2020 onward: 870 records3,017through 19991,4642000-20091,3812010-20198702020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19993,017
2000-20091,464
2010-20191,381
2020 onward870
Share of records by publication typeReviews: 10.2 percent; Meta-analyses: 1.0 percent; Randomized controlled trials: 4.2 percentReviews10.2% (688)Meta-analyses1.0% (65)Randomized controlled trials4.2% (283)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 6,732 PubMed records
TypeRecordsShare
Reviews68810.2%
Meta-analyses651.0%
Randomized controlled trials2834.2%

Method: PubMed query "Atrial Flutter"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in cardiovascular medicine

Cardiovascular medicine has an unusually large body of randomized trials, so the type of outcome matters: hard clinical events such as death, heart attack and stroke carry more weight than changes in blood pressure, cholesterol or imaging markers that only predict risk. Observational studies can show associations but are confounded by age, lifestyle and other illness. Check whether a result is about prevention or treatment, the baseline risk of participants, and the absolute rather than only the relative size of any benefit.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Global burden of atrial fibrillation/atrial flutter and its attributable risk factors from 1990 to 2021
Cheng S, He J, Han Y, Han S, Li P, Liao H, et al.
2024Research article
Design not recorded in structured metadata
201cc by
PMID 38984719 · DOI · PMC11287210
Effect of Continuous Electrocardiogram Monitoring on Detection of Undiagnosed Atrial Fibrillation After Hospitalization for Cardiac Surgery: A Randomized Clinical Trial
Ha ACT, Verma S, Mazer CD, Quan A, Yanagawa B, Latter DA, et al.
2021Randomized controlled trial
Design not recorded in structured metadata
51cc by
PMID 34448866 · DOI · PMC8397929
Ablation of mitral annular flutter ablation utilizing a left atrial anterior line versus a lateral mitral isthmus line: a systematic review and meta-analysis
Aldaas OM, Lupercio F, Lin AY, Han FT, Hoffmayer KS, Raissi F, et al.
2022Meta-analysis
Design not recorded in structured metadata
22cc by
PMID 33538952 · DOI · PMC8333257
Global burden of heart failure attributable to atrial fibrillation and flutter, insights from GBD 2021
Xiong J, Guan S, Cheng C, Zhang Y, Chen S, Wang J, et al.
2026Research article
Design not recorded in structured metadata
0cc by
PMID 41911424 · DOI · PMC13122623

Global burden of atrial fibrillation/atrial flutter and its attributable risk factors from 1990 to 2021 [1]

Research article Cheng S, He J, Han Y, Han S, Li P, Liao H, et al. · · 2024 · cited 201 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
AimsTo devise effective preventive measures, a profound understanding of the evolving patterns and trends in atrial fibrillation (AF) and atrial flutter (AFL) burdens is pivotal.
Closing excerpt
Despite the substantial potential for prevention and management of AF/AFL, there is a pressing imperative to adopt more cost-effective strategies and interventions to target modifiable risk factors, particularly in areas where the burden of AF/AFL is high or escalating.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (286 words)

AimsTo devise effective preventive measures, a profound understanding of the evolving patterns and trends in atrial fibrillation (AF) and atrial flutter (AFL) burdens is pivotal. Our study was designed to quantify the burden and delineate the risk factors associated with AF and AFL across 204 countries and territories spanning 1990-2021.Methods and resultsData pertaining to AF and AFL were sourced from the Global Burden of Disease Study 2021. The burden of AF/AFL was evaluated using metrics such as incidence, disability-adjusted life years (DALYs), deaths, and their corresponding age-standardized rates (ASRs), stratified by age, sex, socio-demographic index (SDI), and human development index (HDI). The estimated annual percentage change was employed to quantify changes in ASRs. Population attributable fractions were calculated to determine the proportional contributions of major risk factors to age-standardized AF/AFL deaths. This analysis encompassed the period from 1990 to 2021. Globally, in 2021, there were 4.48 million incident cases [95% uncertainty interval (UI): 3.61-5.70], 8.36 million DALYs (95% UI: 6.97-10.13) and 0.34 million deaths (95% UI: 0.29-0.37) attributed to AF/AFL. The AF/AFL burden in 2021, as well as its trends from 1990 to 2021, displayed substantial variations based on gender, SDI quintiles, and geographical regions. High systolic blood pressure emerged as the leading contributor to age-standardized AF/AFL incidence, prevalence, death, and DALY rate globally among all potential risk factors, followed closely by high body mass index.ConclusionOur study underscores the enduring significance of AF/AFL as a prominent public health concern worldwide, marked by profound regional and national variations. Despite the substantial potential for prevention and management of AF/AFL, there is a pressing imperative to adopt more cost-effective strategies and interventions to target modifiable risk factors, particularly in areas where the burden of AF/AFL is high or escalating.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38984719 · DOI · PMC11287210

Effect of Continuous Electrocardiogram Monitoring on Detection of Undiagnosed Atrial Fibrillation After Hospitalization for Cardiac Surgery: A Randomized Clinical Trial [2]

Randomized controlled trial Ha ACT, Verma S, Mazer CD, Quan A, Yanagawa B, Latter DA, et al. · · 2021 · cited 51 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
ImportancePostoperative atrial fibrillation (POAF) occurring after cardiac surgery is associated with adverse outcomes.
Closing excerpt
gov Identifier: NCT02793895.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (398 words)

ImportancePostoperative atrial fibrillation (POAF) occurring after cardiac surgery is associated with adverse outcomes. Whether POAF persists beyond discharge is not well defined.ObjectiveTo determine whether continuous cardiac rhythm monitoring enhances detection of POAF among cardiac surgical patients during the first 30 days after hospital discharge compared with usual care.Design, setting, and participantsThis study is an investigator-initiated, open-label, multicenter, randomized clinical trial conducted at 10 Canadian centers. Enrollment spanned from March 2017 to March 2020, with follow-up through September 11, 2020. As a result of the COVID-19 pandemic, enrollment stopped on July 17, 2020, at which point 85% of the proposed sample size was enrolled. Cardiac surgical patients with CHA2DS2-VASc (congestive heart failure, hypertension, age ≥75 years, diabetes, prior stroke or transient ischemic attack, vascular disease, age 65-74 years, female sex) score greater than or equal to 4 or greater than or equal to 2 with risk factors for POAF, no history of preoperative AF, and POAF lasting less than 24 hours during hospitalization were enrolled.InterventionsThe intervention group underwent continuous cardiac rhythm monitoring with wearable, patch-based monitors for 30 days after randomization. Monitoring was not mandated in the usual care group within 30 days after randomization.Main outcomes and measuresThe primary outcome was cumulative AF and/or atrial flutter lasting 6 minutes or longer detected by continuous cardiac rhythm monitoring or by a 12-lead electrocardiogram within 30 days of randomization. Prespecified secondary outcomes included cumulative AF lasting 6 hours or longer and 24 hours or longer within 30 days of randomization, death, myocardial infarction, ischemic stroke, non-central nervous system thromboembolism, major bleeding, and oral anticoagulation prescription.ResultsOf the 336 patients randomized (163 patients in the intervention group and 173 patients in the usual care group; mean [SD] age, 67.4 [8.1] years; 73 women [21.7%]; median [interquartile range] CHA2DS2-VASc score, 4.0 [3.0-4.0] points), 307 (91.4%) completed the trial. In the intent-to-treat analysis, the primary end point occurred in 32 patients (19.6%) in the intervention group vs 3 patients (1.7%) in the usual care group (absolute difference, 17.9%; 95% CI, 11.5%-24.3%; P Conclusions and relevanceIn post-cardiac surgical patients at high risk of stroke, no preoperative AF history, and AF lasting less than 24 hours during hospitalization, continuous monitoring revealed a significant increase in the rate of POAF after discharge that would otherwise not be detected by usual care. Studies are needed to examine whether these patients will benefit from oral anticoagulation therapy.Trial registrationClinicalTrials.gov Identifier: NCT02793895.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 34448866 · DOI · PMC8397929

Ablation of mitral annular flutter ablation utilizing a left atrial anterior line versus a lateral mitral isthmus line: a systematic review and meta-analysis [3]

Meta-analysis Aldaas OM, Lupercio F, Lin AY, Han FT, Hoffmayer KS, Raissi F, et al. · · 2022 · cited 22 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
PurposeMitral annular flutter (MAF) is a common arrhythmia after atrial fibrillation ablation.
Closing excerpt
However, LAAW ablation required a longer ablation line length, resulted in greater LAA activation delayed and was associated with more sinus rhythm maintenance, with the added advantage of avoiding ablation in the CS.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (244 words)

PurposeMitral annular flutter (MAF) is a common arrhythmia after atrial fibrillation ablation. We sought to compare the efficacy and safety of catheter ablation utilizing either a left atrial anterior wall (LAAW) line or a lateral mitral isthmus (LMI) line.MethodsWe performed a systematic review for all studies that compared LAAW versus LMI lines. Risk ratio (RR) and mean difference (MD) 95% confidence intervals were measured for dichotomous and continuous variables, respectively.ResultsFour studies with a total of 594 patients were included, one of which was a randomized control trial. In the LMI ablation group, 40% of patients required CS ablation. There were no significant differences in bidirectional block (RR 1.26; 95% CI, 0.94-1.69) or ablation time (MD -1.5; 95% CI, -6.11-3.11), but LAAW ablation was associated with longer ablation line length (MD 11.42; 95% CI, 10.69-12.14) and longer LAA activation delay (MD 67.68; 95% CI, 33.47-101.89.14) when compared to LMI. There was no significant difference in pericardial effusions (RR 0.36; 95% CI, 0.39-20.75) between groups and more patients were maintained sinus rhythm (RR 1.19; 95% CI, 1.03-1.37, p = 0.02) who underwent LAAW compared to LMI.ConclusionAblation of mitral annular flutter with a LAAW line compared to a LMI line showed no difference in rates of acute bidirectional block, ablation time, or pericardial effusion. However, LAAW ablation required a longer ablation line length, resulted in greater LAA activation delayed and was associated with more sinus rhythm maintenance, with the added advantage of avoiding ablation in the CS.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33538952 · DOI · PMC8333257

Global burden of heart failure attributable to atrial fibrillation and flutter, insights from GBD 2021 [4]

Research article Xiong J, Guan S, Cheng C, Zhang Y, Chen S, Wang J, et al. · · 2026

Abstract reading summary — source excerpts
Opening excerpt
AimsThe aim of this study was to systematically quantify the global, regional, and national burden of heart failure (HF) attributable to atrial fibrillation/flutter (AF/AFL) from 1990 to 2021, and project trends to 2040.
Closing excerpt
Integrating standardized AF management-including systematic screening, anticoagulation, and early rhythm control-into HF prevention pathways represents a critical strategy to mitigate projected increases.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (318 words)

AimsThe aim of this study was to systematically quantify the global, regional, and national burden of heart failure (HF) attributable to atrial fibrillation/flutter (AF/AFL) from 1990 to 2021, and project trends to 2040.Methods and resultsUsing Global Burden of Disease (GBD) 2021 data, we analysed AF/AFL-attributed HF prevalence and years lived with disability (YLDs) across 204 countries, stratified by age, sex, and socio-demographic index (SDI). Joinpoint regression identified temporal inflection points; decomposition analysis quantified contributions from population growth, ageing, and epidemiological change; Bayesian age-period-cohort (BAPC) models forecasted burden to 2040. Globally, AF-attributed HF cases increased 3.4-fold, from 162 561 (95% UI: 120 008-213 951) in 1990 to 714 137 (95% UI: 520 543-940 901) in 2021, with age-standardized prevalence rates (ASPRs) rising from 5.36 to 8.85 per 100 000 (EAPC: 1.76%, 95% UI: 1.66-1.85%). YLDs increased more than four-fold, from 14 615 (95% UI: 8848-23 114) to 63 943 (95% UI: 39 058-96 196; EAPC: 1.76%, 95% CI: 1.67-1.85%). High-SDI regions exhibited the highest burden (ASPR: 13.97 (95% UI: 10.31 to 18.36) per 100 000), with epidemiological changes contributing 44% of the absolute increase in high-SDI regions to case growth. Women outnumbered men beyond age 65 (female-to-male ratio: 1.1 at age 65-69, widening to 2.4 at ≥95 years), yet age-standardized rates showed no significant sex difference (female ASPR: 8.91 vs. male ASPR: 8.78 per 100 000). Joinpoint analysis revealed accelerated growth during 1990-2007 (APC: 2.12%, P .05). Projections indicate a near-doubling of global cases to 1 307 469 (95% UI: 661 547-1 953 391) by 2040, corresponding to an ASPR of 8.45 per 100 000 (95% UI: 4.28-12.63).ConclusionAF/AFL is a major and growing driver of global HF burden, projected to affect 1.3 million individuals by 2040, with disproportionate impact in older adults (≥65 years) and high-SDI regions. Integrating standardized AF management-including systematic screening, anticoagulation, and early rhythm control-into HF prevention pathways represents a critical strategy to mitigate projected increases.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41911424 · DOI · PMC13122623

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Noninvasive cardiac monitoring for detecting paroxysmal atrial fibrillation or flutter after acute ischemic stroke: a systematic review [5]
    Liao J, Khalid Z, Scallan C, Morillo C, O'Donnell M · Stroke · 2007 · cited 243 times (Europe PMC)
  • Research article Long-term outcomes after catheter ablation of cavo-tricuspid isthmus dependent atrial flutter: a meta-analysis [6]
    Pérez FJ, Schubert CM, Parvez B, Pathak V, Ellenbogen KA, Wood MA · Circ Arrhythm Electrophysiol · 2009 · cited 218 times (Europe PMC)
  • Research article Autonomic influences in atrial tachyarrhythmias [7]
    Coumel P · J Cardiovasc Electrophysiol · 1996 · cited 200 times (Europe PMC)
  • Research article Meta-analysis of ablation of atrial flutter and supraventricular tachycardia [8]
    Spector P, Reynolds MR, Calkins H, Sondhi M, Xu Y, Martin A, et al. · Am J Cardiol · 2009 · cited 176 times (Europe PMC)
  • Research article Inter-relationships of atrial fibrillation and atrial flutter mechanisms and clinical implications [9]
    Waldo AL, Feld GK · J Am Coll Cardiol · 2008 · cited 170 times (Europe PMC)
  • Research article SGLT2 inhibitors and atrial fibrillation in type 2 diabetes: a systematic review with meta-analysis of 16 randomized controlled trials [10]
    Li WJ, Chen XQ, Xu LL, Li YQ, Luo BH · Cardiovasc Diabetol · 2020 · cited 122 times (Europe PMC)

References

  1. Cheng S, He J, Han Y, Han S, Li P, Liao H, et al.. Global burden of atrial fibrillation/atrial flutter and its attributable risk factors from 1990 to 2021. . 2024. PMID 38984719 · DOI · PMC11287210
  2. Ha ACT, Verma S, Mazer CD, Quan A, Yanagawa B, Latter DA, et al.. Effect of Continuous Electrocardiogram Monitoring on Detection of Undiagnosed Atrial Fibrillation After Hospitalization for Cardiac Surgery: A Randomized Clinical Trial. . 2021. PMID 34448866 · DOI · PMC8397929
  3. Aldaas OM, Lupercio F, Lin AY, Han FT, Hoffmayer KS, Raissi F, et al.. Ablation of mitral annular flutter ablation utilizing a left atrial anterior line versus a lateral mitral isthmus line: a systematic review and meta-analysis. . 2022. PMID 33538952 · DOI · PMC8333257
  4. Xiong J, Guan S, Cheng C, Zhang Y, Chen S, Wang J, et al.. Global burden of heart failure attributable to atrial fibrillation and flutter, insights from GBD 2021. . 2026. PMID 41911424 · DOI · PMC13122623
  5. Liao J, Khalid Z, Scallan C, Morillo C, O'Donnell M. Noninvasive cardiac monitoring for detecting paroxysmal atrial fibrillation or flutter after acute ischemic stroke: a systematic review. Stroke. 2007. PMID 17901394 · DOI
  6. Pérez FJ, Schubert CM, Parvez B, Pathak V, Ellenbogen KA, Wood MA. Long-term outcomes after catheter ablation of cavo-tricuspid isthmus dependent atrial flutter: a meta-analysis. Circ Arrhythm Electrophysiol. 2009. PMID 19808495 · DOI
  7. Coumel P. Autonomic influences in atrial tachyarrhythmias. J Cardiovasc Electrophysiol. 1996. PMID 8894942 · DOI
  8. Spector P, Reynolds MR, Calkins H, Sondhi M, Xu Y, Martin A, et al.. Meta-analysis of ablation of atrial flutter and supraventricular tachycardia. Am J Cardiol. 2009. PMID 19699343 · DOI
  9. Waldo AL, Feld GK. Inter-relationships of atrial fibrillation and atrial flutter mechanisms and clinical implications. J Am Coll Cardiol. 2008. PMID 18294560 · DOI
  10. Li WJ, Chen XQ, Xu LL, Li YQ, Luo BH. SGLT2 inhibitors and atrial fibrillation in type 2 diabetes: a systematic review with meta-analysis of 16 randomized controlled trials. Cardiovasc Diabetol. 2020. PMID 32847602 · DOI · PMC7448518

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

6,732
PubMed records on this heading
13%
published since 2020
688
review articles
283
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

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  • Ventricular FibrillationCardiovascular Medicine
  • Atrioventricular BlockCardiovascular Medicine
  • Bundle-Branch BlockCardiovascular Medicine
  • Torsades de PointesCardiovascular Medicine

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