Literature DB >> 35045127

The comparison of catheter ablation on hard outcomes versus medical treatment for atrial fibrillation patients: A meta-analysis of randomized, controlled trials with trial sequential analysis.

Jikai Song1, Qinggang Zhang1, Lifang Ye1, Yaru Zheng1, Lihong Wang1.   

Abstract

BACKGROUND: The prevailing view is that ablation does not reduce the incidence of stroke and deaths in atrial fibrillation (AF), and guidelines suggest that long-term anticoagulation is required after ablation, regardless of the success of the procedure. We performed a meta-analysis of recent randomized, controlled trials (RCTs) to verify whether ablation compared with drugs reduced the incidence of stroke and deaths.
METHODS: We systematically searched the PubMed, Embase, and Cochrane Central Register of Controlled Trials databases for RCTs of AF catheter ablation (CA) compared to medical therapy (MT). The risk ratio (RR) and weighted mean difference (WMD) with 95% CIs were calculated using a random-effects model. A trial sequential analysis (TSA) was used to further validate the reliability of the primary outcomes.
RESULTS: Seventeen RCTs were included, comprising 5,258 patients (CA, n = 2760; MT, n = 2498). Compared with medical therapy, CA was associated with a reduction in stroke/transient ischaemic attacks (TIAs) (p = 0.035; RR = 0.61 [95% CI, 0.386 to 0.965]; I2 = 0.0%) and deaths (p = 0.004; RR = 0.7 [95% CI, 0.55 to 0.89]; I2 = 0.0%). CA was associated with improvement in left ventricular ejection fraction (LVEF) (p = 0.000; WMD = 5.39 [95% CI, 2.45 to 8.32]; I2 = 84.4%) and the rate of maintenance of sinus rhythm (SR) (p = 0.000; RR = 3.55 [95% CI, 2.34 to 5.40]; I2 = 76.7%).
CONCLUSIONS: CA for AF had more favourable outcomes in terms of stroke/TIAs, deaths, change in LVEF, and the maintenance of SR at the end of follow-up compared to MT. Besides, the TSA results supported this conclusion.

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Year:  2022        PMID: 35045127      PMCID: PMC8769301          DOI: 10.1371/journal.pone.0262702

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Atrial fibrillation (AF), the most common persistent arrhythmia in clinical practice, has been called the "cardiovascular epidemic of the 21st century" and is increasing in prevalence worldwide [1]. Stroke events due to AF cause a heavy financial and emotional burden on patients, as well as on society [2]. In particular, strokes carries prognostic implications in terms of mortality and ongoing morbidity [3]. Currently, ablation is a very effective treatment for atrial fibrillation; however, the prevailing view is that ablation does not reduce the incidence of stroke and deaths. Hence, the current guidelines indicate that long-term anticoagulation is required after ablation, regardless of the success of the procedure. Current guidelines support that, following cardioversion for AF of any duration, the decision about long-term anticoagulation therapy should be based on the thromboembolic risk profile (class IC recommendation) [4]. Why is this the case? It is mainly because of the lack of randomized, controlled studies (RCTs) in this area. Our group performed the same meta-analysis 5 years ago [5], but compared to medical treatment, the meta-results on AF ablation at that time did not reduce stroke and deaths. However, with the accumulation of experience and the maturity of the technique, the success rate of ablation has been increasing, and the incidence of stroke and deaths after ablation has been gradually decreasing. At the same time, there has been an increasing number of recent RCTs on stroke incidence after ablation over the last 5 years, so we decided to perform further meta-analysis by combining recent RCTs. If we can indeed find a reduction in stroke and deaths incidence, it will not only change the guidelines but will also provide a significant benefit to patients with AF. Our latest meta-results differ from our previous meta-results in that they show a statistically significant reduction in stroke and deaths incidence, supporting our latest view and suggesting the outcome that recent innovations in atrial fibrillation ablation techniques have indeed affected the incidence of stroke and deaths in atrial fibrillation.

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were strictly followed in this meta-analysis [6], which was registered on PROSPERO on December 23, 2020, under the number CRD42020220610. We last updated our search on February 7, 2021, to the extent that no new trials met the inclusion criteria for our meta-analysis. We have updated PROSPERO to accurately reflect our search updates.

Search strategy

The PubMed, Embase, and Cochrane Central Register of Controlled Trials databases were searched by two independent investigators (SJK and ZQG) without language restriction from January 1, 2010, to December 31, 2020. The goal of the search was to dig deep to find all RCTs comparing ablation therapy to conventional drug therapy in patients with atrial fibrillation. Specialized medical librarians assisted us in developing our search strategy, which included four key search terms: atrial fibrillation, catheter ablation, medical therapy, and randomized controlled trial (S1–S3 Tables). We referred to the search strategy through the Cochrane Library review to refine our search formula. We checked the reference lists of articles in the referenced articles for literature completeness, as well as other relevant studies. Only studies issued in English with the full text available were included.

Study selection and outcomes

We included RCTs comparing ablation with pharmacological treatment of atrial fibrillation. Randomized controlled trials were limited to those that report any of the following long-term outcomes: deaths related to ablation or pharmacological treatment of atrial fibrillation during follow-up and stroke/transient ischaemic attack (TIA) as a nonsurgical correlation. In addition, to minimize the risk of publication bias, as well as the potential degree of heterogeneity, we strictly controlled the inclusion of RCTs≥50 patients and a minimum of six months of follow-up. For those outcomes with multiple time points for reporting, we used the longest follow-up time point. After careful consideration, we excluded the following articles: case reports, observational studies, reviews, expert opinions, and studies without randomized groupings. The primary outcomes of interest were deaths and stroke/TIA. The secondary outcome was the change in LVEF and the maintenance of SR at the end of follow-up.

Data extraction and quality evaluation

Two investigators (SJK and ZQG) performed the data extraction independently and designed and used a predeveloped data extraction form. From the included studies, we gathered the following data: crossover, study period, ablation strategy, follow-up duration, baseline study characteristics, risk factors, procedure specifics, and outcome measures. To assess the included studies, we used the widely used Cochrane Collaboration tool for assessing the risk of bias [7]. Notably, the two researchers independently evaluated the selected studies on seven indicators: random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other bias. All of the evaluation indicators with different opinions were resolved through a rigorous discussion.

Statistical analysis

A part of the meta-analysis was conducted using the inverse variance (IV) random-effects model in STATA software, version 14.0 (Stata Corporation, College Station, TX, USA), to quantify Egger’s test of publication bias and the synthesis of primary and secondary outcome indicators. For the other part of the meta-analysis, we used the DerSimonian-Laird (DL) random-effects model [8] in STATA software, version 16.0 (STATA Corporation, College Station, TX, USA), to qualitatively analyse the contour-enhanced funnel plot for publication bias and to perform sensitivity analyses of the synthetic results for the primary and secondary outcome indicators. We used the risk ratio (RR) for dichotomous outcomes, while for continuous outcomes, we used the weighted mean difference (WMD) with 95% confidence intervals (CIs) in both cases. Considering a weight of zero, forest plots did not indicate studies of zero occurrences in either the intervention group or the control group. For the meta-analysis of continuous variables, we converted the median and interquartile spacing into the form of the mean and standard deviation from reliable formulas [9, 10]. We assessed the heterogeneity among the overall studies in the forest plot by the following two metrics: the chi-square test for homogeneity (a relatively large heterogeneity is indicated if p<0.1) and the I2 statistic (a result of 50% or greater would suggest potentially large heterogeneity) [11]. Publication bias was analysed qualitatively by contour-enhanced funnel plots, and Egger’s test was utilized to aid in the quantitative analysis of publication bias. Sensitivity analysis of the outcome indicators was performed by trim-and-fill analysis to determine the stability of the results. To further confirm the reliability of the primary outcome indicators of stroke/TIA and death, we performed a trial sequential analysis (TSA) [12] using a random-effects (DL) model. We used conventional confidence intervals of 95%, a two-sided boundary type with type 1 error of 5%, and an information axis with sample size. For TSA of stroke/TIA, we used a relative risk reduction of 38.49% (low bias-based) and an incidence in the control arm of 2%. For TSA of deaths, we used a relative risk reduction of 30.03% (low bias-based) and an incidence in the control arm of 6.1%. The heterogeneity correction for both TSAs was set to model variance based. Trial Sequential Analysis software, version 0.9.5.10 beta (Copenhagen Trial Unit, Centre for Clinical Intervention Research, Rigshospitalet, Copenhagen, Denmark, https://www.ctu.dk/tsa), was used for this analysis.

Results

Characteristics of the studies

Through a scan of the three databases, a total of 1825 possible studies were discovered. Of these studies, a total of 546 documents were excluded due to duplication, and another 1222 documents were omitted because they did not meet the inclusion and exclusion criteria. Following a full-text review of the remaining 30 publications, 17 RCTs with a total of 5258 participants were chosen [13-29]. (Fig 1)
Fig 1

Flow diagram of studies included in the meta-analysis.

Tables 1 and 2 provide a summary of the study characteristics of the randomized trials included in the meta-analysis, as well as baseline patient information. Overall, the mean age of patients in the trials ranged from 54 to 64 years old, the mean LVEF among the study populations was 50.1%, and the LA diameter was 44.0. Overall, women accounted for approximately 30% of the total number of patients, and the predominant ablation strategy was PVI ± additional ablation. In terms of switching rate, the rate of switching to the ablation group was higher than that of switching to the drug treatment group. The study follow-ups ranged from 6 to 60 months.
Table 1

Study characteristics of the randomized trials included in the meta-analysis.

ReferencesCrossover, n (%)CA groupMT groupAT (months)Follow-up (months)
To ablationTo drug therapySample sizeAge (year)Female (%)Sample sizeAge (year)Female(%)CAMT
MacDonald et al.2010NRNR2262±6.7231964±8.321NRNR6
Wilber et al.2010594.710656±931.16156±13383NR9
Pappone et al.201142None9955±10NR9957±10NRNRNR48
Nielsen et al.2012368.914656±93214854±1028NRNR24
Packer et al.201379None16357±923.38256±9223NR12
Jones et al.2013NRNR2664±10192662±98NRNR12
Mont et al.2013035.79855±922.54855±9231NR12
Hunteret al.2014NRNR2655±123.82460±104.23312
Hummel et al.201460None13860±816.77261±816.7666
Morillo et al.201442.69.16656±922.76154±1226.23NR24
Biase et al.2016NRNR10262±102510160±1127NRNR24
Prabhu et al.20174.5None3359±1163362±9.412NRNR6
Marrouche et al.20189.815.617963±11.21318464±13.116NRNR60
Packer et al.201927.526.5110867±7.437.3109667±7.4373NR60
Wu et al.2020NoneNone32764.8±12.633.332164.4±13.636.83NR60
Kuck et al.202012.2None10267.8±4.857.810867.6±4.658NRNR36
Jason et al.202024.25.815457.7±12.327.314959.5±10.631.5NRNR12

Age is given as mean ± SD; CA, catheter ablation; MT, medical treatment; AT, minimum anticoagulation time after ablation or antiarrhythmic drug therapy; NR; not reported.

Table 2

Patient information for the included studies.

ReferencesPatients, nAblation strategyRandomized patients, nStroke/TIA, nDeath, nLVEF % at baseline, mean(SD)LA diameter mm at baseline, mean(SD)
ScreenedEnrolledCAMTCAMTCAMTCAMTCAMT
MacDonald et al.201032541PVI ± additional ablation221910NRNR16.1 (7.1)19.6 (5.5)NRNR
Wilber et al.20105378167PVI ± additional ablation10661001062.3 (2)62.7 (2)40 (1.1)40 (1.5)
Pappone et al.2011334198PVI ± additional ablation9999000060 (8)61 (6)40 (6)38 (6)
Nielsen et al.2012294294PVI ± additional ablation1461481124NRNR40 (6)40 (5)
Packer et al.2013304245PVI ± additional ablation16382701060 (6)61 (6)40 (5)41 (6)
Jones et al.201310152PVI ± additional ablation2626011022 (8)25 (7)50 (6)46 (7)
Mont et al.2013152146PVI ± additional ablation9848000061.1 (8.8)60.8 (9.7)41 (4.6)42.7 (5.1)
Hunter et al.201439050PVI ± additional ablation2624110131.8 (7.7)33.7 (12.1)52 (11)50 (10)
Hummel et al.2014242210PVI ± additional ablation13872100054.7 (7.1)54.9 (6.7)45 (5)46 (5)
Morillo et al.2014127127PVI ± additional ablation6661000061.4 (4.8)60.8 (7)40 (5)43 (5)
Biase et al.2016203203PVI ± additional ablation102101NRNR81829 (5)30 (8)47 (4.2)48 (4.9)
Prabhu et al.201730166PVI ± additional ablation3333NRNRNRNR32 (9)34 (8)48 (5.5)47 (8.2)
Marrouche et al.20183013398PVI ± additional ablation179184511244631.8 (9.7)31.9 (7.5)49 (6.7)51.3 (4.5)
Packer et al.201922042204PVI ± additional ablation11081096375867NRNRNRNR
Wu et al.20201024652PVI ± additional ablation32732114235553.3 (9.3)51.9 (9.4)45 (8.5)46 (7.8)
Kuck et al.20201237255PVI ± additional ablation10210801NRNR61.8 (5.8)62.3 (5.2)42 (6.1)43.4 (5.6)
Jason et al.2020303303PVI ± additional ablation15414901NRNR59.6 (7)59.8 (7.6)39.5 (5)38.1 (6.5)

CA, catheter ablation; MT, medical treatment; NR, not reported; LVEF, left ventricular ejection fraction; LA, left atrium; TIA, transient ischemic attacks.

Age is given as mean ± SD; CA, catheter ablation; MT, medical treatment; AT, minimum anticoagulation time after ablation or antiarrhythmic drug therapy; NR; not reported. CA, catheter ablation; MT, medical treatment; NR, not reported; LVEF, left ventricular ejection fraction; LA, left atrium; TIA, transient ischemic attacks.

Drugs and technology

In terms of medical treatment, the drugs mainly included class I and class III antiarrhythmic drugs. If atrial fibrillation treatment failed, the next step was adjuvant ablation therapy. In the atrial fibrillation ablation group, there were two trial groups that were not treated with antiarrhythmic drugs prior to enrolment [16, 22]. Patients with recurrence of atrial fibrillation after ablation were treated with a second ablation. The ablation technique was pulmonary vein ablation combined with ablation of linear lesions in the left and right atria, ostia of the pulmonary veins, and cavotricuspid isthmus. The use of additional lesion ablations outside the pulmonary vein region was left to the discretion of the surgeon. Oral anticoagulation had to be given orally for at least 3 weeks prior to atrial fibrillation ablation and for at least 3 months after the procedure, with subsequent anticoagulation to be determined on a patient-by-patient basis.

Follow-up and withdrawals

By the end of the study, 635 of a total of 2,632 people in the medication group had switched to the CA process after failing on medication or failing to tolerate antiarrhythmic drugs (AADs). The duration of the follow-ups ranged from 6 to 60 months in all studies. Sixty-five patients were lost to follow-up, 8 patients were excluded, and 224 patients withdrew.

End points

Regarding the indicator of stroke/TIA, the meta-analysis findings of atrial fibrillation ablation therapy versus drug therapy synthesis were significantly different (p = 0.035; RR = 0.61 [95% CI, 0.386 to 0.965]; I2 = 0.0%) (Fig 2A). The meta-analysis also showed significant superiority in the indicator of death (p = 0.004; RR = 0.7 [95% CI, 0.55 to 0.89]; I2 = 0.0%) (Fig 2B), the change in LVEF (p = 0.000; WMD = 5.39 [95% CI, 2.45 to 8.32]; I2 = 84.4%) (Fig 3A), and the maintenance of SR at the end of follow-up (p = 0.000; RR = 3.55 [95% CI, 2.34 to 5.40]; I2 = 76.7%) (Fig 3B).
Fig 2

(A) Forest plot displaying risk ratio (RR) for stroke/TIA (B) Forest plot displaying risk ratio (RR) for deaths.

Fig 3

(A) Forest plot displaying weighted mean difference (WMD) for the change in LVEF. (B) Forest plot displaying risk ratio (RR) for the maintenance of sinus rhythm (SR) at the end of follow-up.

(A) Forest plot displaying risk ratio (RR) for stroke/TIA (B) Forest plot displaying risk ratio (RR) for deaths. (A) Forest plot displaying weighted mean difference (WMD) for the change in LVEF. (B) Forest plot displaying risk ratio (RR) for the maintenance of sinus rhythm (SR) at the end of follow-up. Sensitivity analysis (trim-and-fill analysis using the random-effects method in a nonparametric setting) of the outcome indicators showed stable results (Table 3); statistically significant log RR (Log RR for stroke/TIA = -0.602 [95%CI, -1.035 to -0.170]; Log RR for deaths = -0.371 [95%CI, -0.614 to -0.129]; Log RR for sinus rhythm = 1.183 [95%CI, 0.759 to 1.608]) and WMD (WMD for the change in LVEF = 5.39 [95%CI, 2.45 to 8.35]) were still obtained for all of the studies after attribution to trim-and-fill. There was no heterogeneity (I2 = 0.0%) in the primary outcome indicators. Although significant heterogeneity (I2 = 84.4%, I2 = 76.7%) was observed for the secondary outcome indicator (change in LVEF, the maintenance of SR at the end of follow-up), favourable results in LVEF and sinus rhythm with catheter ablation were observed across all of the trials. The majority of the articles in this meta-analysis were of high quality, as measured by the Cochrane Collaboration’s tool, indicating that the study had a low risk of bias (Table 4).
Table 3

Sensitivity analyses (nonparametric trim-and-fill analysis).

OutcomesNumber of StudiesLog RRWMD95% CI
ObservedImputedObserved + ImputedObservedObserved + ImputedObservedObserved + ImputedObservedObserved + Imputed
Deaths13215-0.357-0.371(-0.601, -0.113)(-0.614, -0.129)
Stroke/TIA15318-0.486-0.602(-0.932, -0.039)(-1.035, -0.170)
Sinus rhythm7291.2681.183(0.849, 1.686)(0.759, 1.608)
Change in LVEF7075.395.39(2.45, 8.35)(2.45, 8.35)

RR, risk ratio; WMD, weighted mean difference.

Table 4

Risk of bias assessment.

StudyRandom sequence generationAllocation concealmentBlinding of participants and personnelBlinding of outcome assessmentIncomplete outcome dataSelective reportingOther bias
MacDonald et al.2010LowLowUnclearLowLowLowUnclear
Wilber et al.2010LowUnclearUnclearUnclearLowLowUnclear
Pappone et al.2011UnclearUnclearLowLowLowLowUnclear
Nielsen et al.2012LowLowLowLowLowLowUnclear
Packer et al.2013UnclearUnclearUnclearLowLowLowUnclear
Jones et al.2013LowUnclearLowLowLowLowUnclear
Mont et al.2013UnclearUnclearLowLowLowLowUnclear
Hunter et al.2014LowLowLowLowLowLowUnclear
Hummel et al.2014UnclearUnclearUnclearLowLowLowUnclear
Morillo et al.2014UnclearUnclearUnclearLowLowLowUnclear
Biase et al.2016UnclearLowLowLowUnclearLowUnclear
Prabhu et al.2017LowLowLowLowLowLowUnclear
Marrouche et al.2018LowUnclearUnclearLowLowLowUnclear
Packer et al.2019LowLowLowUnclearLowLowUnclear
Wu et al.2020LowUnclearLowLowLowLowUnclear
Kuck et al.2020LowLowUnclearLowLowUnclearUnclear
Jason et al.2020LowLowLowLowUnclearUnclearUnclear
RR, risk ratio; WMD, weighted mean difference.

Publication bias

Qualitatively, the contour-enhanced funnel plot did not see significant publication bias regarding the outcome indicators stroke/TIA and deaths (S1 and S2 Figs). Quantitatively, Egger’s test showed that publication bias remained nonexistent for both stroke/TIA (p = 0.247) and death (p = 0.821) (S3 and S4 Figs). Since there were fewer than 10 papers included, the statistical analysis did not include publication bias testing for the improvement in LVEF and the maintenance of SR at the end of follow-up. Based on the quantitative contour-enhanced funnel plot and qualitative Egger’s test, we have strong evidence that the included studies were very comprehensive and generated statistically credible results.

TSA findings

For both primary and secondary outcome indicators, we performed TSA to further validate the reliability of the results [30]. Per the TSA analysis, for three outcome indicators—deaths, the change in LVEF, and the maintenance of SR at the end of follow-up—the respective TSA crossed the traditional Z-curve and monitoring boundary and achieved the required information size (RIS) (S5–S7 Figs), contributing to assessing the strong certainty and precision of these two outcome indicators. For the outcome indicator stroke/TIA, TSA crossed the traditional Z-curve but did not cross the monitoring boundary and did not reach the RIS (Fig 4), contributing to the assessment of moderate certainty and overall moderate precision.
Fig 4

Trial Sequential Analysis (TSA) for stroke/Transient Ischemic Attacks (TIA).

Discussion

AF ablation treatment significantly reduced the rate of stroke/TIA and deaths and improved LVEF and the maintenance of SR compared to drug treatment. Although previous meta-analyses have found similar results [31-33] regarding deaths and changes in LVEF, this meta-analysis of the positive outcome of stroke/TIA is the first to be reported. This meta-analysis included 17 reliable RCTs from 2010 to 2020 for the analysis, and we performed literature screening and data statistics through a rigorous division of labour. In addition, tests for publication bias, sensitivity analysis of the results, and TSA of the outcome indicators were performed. Layers of data analysis ensured the reliability and stability of our results. Hence, our research is the most comprehensive and up-to-date meta-analysis of the safety and efficacy of ablation for atrial fibrillation treatment. The indications for CA have gradually extended from paroxysmal AF to persistent AF and long-standing persistent AF. With respect to stroke/TIA, deaths and changes in LVEF, it is crucial to contrast the two rhythm control strategies (catheter ablation vs. medical treatment) with the actual requirements [27]. In this meta-analysis, we found that catheter ablation reduced the risk of stroke/TIA better than drug therapy. A recently published meta-analysis [31] did not yield statistically significant differences in terms of stroke/TIA (RR 0.56, [95% CI 0.23 to 1.36]), primarily because the number of RCTs included regarding this outcome indicator was only four[14, 17, 20, 25]. Correspondingly, this meta-analysis consisted of 17 RCTs. The results of this analysis correlate well with two studies (Wu et al. 2020 [27] and Packer et al. 2019 [26]), accounting for 12.3% and 41.9% of participants in all 17 studies, respectively. This meta-analysis yielded a greater association of positive results with the study of Wu et al., with a weight of 50.31%. Nevertheless, Packer et al. reported in the CABANA study that atrial fibrillation ablation therapy did not result in a significant difference in the outcome indicator stroke/TIA compared to drug therapy. In the CABANA report, 102 (9.2%) of the ablation patients did not have ablation, while 301 (27.5%) of the drug therapy patients had ablation. In Wu et al.’s study, however, all of the participants in the ablation study reported ablative treatment, while those who were medically treated did not switch to the ablation group. These factors might account for the difference in the results of the two studies. Reduced burden of atrial fibrillation, better-maintained sinus rhythm at the end of follow-up, improved LVEF, and decreased LA diameter are high probability, significant factors contributing to favourable outcomes of catheter ablation. In particular, reduced LVEF is a risk factor for stroke and death. The trial of Marrouche et al. (2018) [25] reported a lower AF burden with catheter ablation (20% and 25% at the 12- and 60-month follow-ups, respectively) than with drug therapy (50% and 65% at the 12- and 60-month follow-ups, respectively). Similarly, Prabhu et al. (2017) [24] reported a mean AF burden at 6 months of 1.6%±5.0% in the AF ablation group, compared with 100% in the drug therapy group. Seven RCTs documented improvement in LVEF, with a mean improvement of 5.39% (Fig 3A). Wu et al. (2020) reported a noticeable reduction in LA diameter in the ablation group compared to the baseline data (1 year: 43 ± 9.1 vs. 45 ± 8.5 mm, P = 0.004; end of study: 42 ± 9.3 vs. 45 ± 8.5 mm, P< 0.001) but not in the medical treatment group (1 year: 46 ± 9.4 vs. 46 ± 7.8 mm, P = 1.00; end of study: 45 ± 9.5 vs. 46 ± 7.8 mm, P = 0.151). The above data echoed the change in LVEF and the reduction in AF burden, suggesting that CA reversed atrial structural remodelling. The combination of these factors could have contributed to the favourable results of this meta-analysis for the primary outcome indicators of stroke/TIA and deaths.

Limitations

Several limitations merit mention. First, in this study, despite the inclusion of 17 RCTs, the results of our meta-analysis were driven primarily by 4 studies (Di Biase [23], Marrouche [25], Packer [26], Wu [27]). However, the beneficial outcomes of catheter ablation were consistent across most of the trials. Second, in the TSA analysis on stroke/TIA, TSA crossed the traditional Z-curve but did not cross the monitoring boundary and did not reach the required information size, contributing to the assessment of moderate certainty and overall moderate precision. The above scenario requires subsequent RCTs to be added to yield much more reliable results (Required Information Size, 8414). Third, patient selection bias could have been a potential influencing factor since patients who chose to receive ablative therapy might have been healthier than those who received only drug therapy. Notably, the average age of the patients in the trials was 54 to 64 years old, which might be problematic for extrapolating the results to the elderly. Fourth, in all 17 studies, the proportion of female patients was approximately 28%, with an imbalance between men and women. Hence, whether bias is present when extrapolating the results to female patients must also be considered.

Conclusion

In conclusion, this meta-analysis illustrated that ablation therapy for AF had more favourable outcomes in terms of stroke/TIA, deaths, change in LVEF, and better-maintained sinus rhythm at the end of follow-up compared to medical therapy. In addition, long-term anticoagulation might not be necessary after AF catheter ablation. Considering that the TSA results of stroke/TIA were only of moderate certainty and overall moderate precision, more large-scale clinical research trials to further validate these conclusions are necessary. (DOC) Click here for additional data file.

Contour-enhanced funnel plot for stroke/transient ischaemic attacks (TIAs).

(TIF) Click here for additional data file.

Contour-enhanced funnel plot for deaths.

(TIF) Click here for additional data file.

Egger’s publication bias plot for stroke/transient ischaemic attacks (TIAs).

(TIF) Click here for additional data file.

Egger’s publication bias plot for deaths.

(TIF) Click here for additional data file.

Trial sequential analysis (TSA) for deaths.

(TIF) Click here for additional data file.

Trial sequential analysis (TSA) for the change in LVEF.

(TIF) Click here for additional data file.

Trial sequential analysis (TSA) for the maintenance of sinus rhythm at the end of follow-up.

(TIF) Click here for additional data file. (TIF) Click here for additional data file. (TIF) Click here for additional data file.

PubMed search strategy for trials comparing atrial fibrillation ablation with drug therapy.

(DOCX) Click here for additional data file.

Cochrane Central Register of Controlled Trials search strategy for trials comparing atrial fibrillation ablation with drug therapy.

(DOCX) Click here for additional data file.

Embase search strategy for trials comparing atrial fibrillation ablation with drug therapy.

(DOCX) Click here for additional data file. (XLSX) Click here for additional data file.
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1.  Meta-analysis in clinical trials.

Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

2.  A randomized controlled trial of catheter ablation versus medical treatment of atrial fibrillation in heart failure (the CAMTAF trial).

Authors:  Ross J Hunter; Thomas J Berriman; Ihab Diab; Ravindu Kamdar; Laura Richmond; Victoria Baker; Farai Goromonzi; Vinit Sawhney; Edward Duncan; Stephen P Page; Waqas Ullah; Beth Unsworth; Jamil Mayet; Mehul Dhinoja; Mark J Earley; Simon Sporton; Richard J Schilling
Journal:  Circ Arrhythm Electrophysiol       Date:  2014-01-01

3.  Catheter Ablation Versus Medical Therapy for Atrial Fibrillation: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Zain Ul Abideen Asad; Ali Yousif; Muhammad Shahzeb Khan; Sana M Al-Khatib; Stavros Stavrakis
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-08-21

4.  Radiofrequency ablation vs antiarrhythmic drugs as first-line treatment of paroxysmal atrial fibrillation (RAAFT-2): a randomized trial.

Authors:  Carlos A Morillo; Atul Verma; Stuart J Connolly; Karl H Kuck; Girish M Nair; Jean Champagne; Laurence D Sterns; Heather Beresh; Jeffrey S Healey; Andrea Natale
Journal:  JAMA       Date:  2014-02-19       Impact factor: 56.272

5.  Cryoablation or Drug Therapy for Initial Treatment of Atrial Fibrillation.

Authors:  Jason G Andrade; George A Wells; Marc W Deyell; Matthew Bennett; Vidal Essebag; Jean Champagne; Jean-Francois Roux; Derek Yung; Allan Skanes; Yaariv Khaykin; Carlos Morillo; Umjeet Jolly; Paul Novak; Evan Lockwood; Guy Amit; Paul Angaran; John Sapp; Stephan Wardell; Sandra Lauck; Laurent Macle; Atul Verma
Journal:  N Engl J Med       Date:  2020-11-16       Impact factor: 91.245

6.  A randomized trial to assess catheter ablation versus rate control in the management of persistent atrial fibrillation in heart failure.

Authors:  David G Jones; Shouvik K Haldar; Wajid Hussain; Rakesh Sharma; Darrel P Francis; Shelley L Rahman-Haley; Theresa A McDonagh; S Richard Underwood; Vias Markides; Tom Wong
Journal:  J Am Coll Cardiol       Date:  2013-03-07       Impact factor: 24.094

7.  Pleiotropic effects of antiarrhythmic agents: dronedarone in the treatment of atrial fibrillation.

Authors:  Jordi Heijman; Gerd Heusch; Dobromir Dobrev
Journal:  Clin Med Insights Cardiol       Date:  2013-08-11

8.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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Authors:  Gang Wu; He Huang; Lin Cai; Yanzong Yang; Xu Liu; Bo Yu; Yanhong Tang; Hong Jiang; Congxin Huang
Journal:  Europace       Date:  2021-05-21       Impact factor: 5.214

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Journal:  Eur Heart J       Date:  2013-10-17       Impact factor: 29.983

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