Diagnostic Yield of Extended Cardiac Monitoring in Transient Unexplained Vertigo: A Systematic Review and Meta-Analysis

Abstract

When recurrent transient vertigo cannot explain by the problems with peripheral vestibular system, then doctors encounter a diagnostic challenge. In certain patients, these episodes may indicate temporary reduced blood flow to the brain and the reason is previously un-noticed paroxysmal atrial fibrillation. However, standard short-term heart monitoring often misses these occasional irregular heartbeats, creating a significant gap in stroke prevention strategies. Methods: Following the PRISMA 2020 guidelines, we have compiled this systematic review and meta-analysis [8, 9]. And manually searched the records of PubMed, Embase, and the Cochrane Library for similar studies that were published after 2010 and compared extended cardiac monitoring (ECM, >48 hours) with standard monitoring (?48 hours) in adults having unexplained recurrent transient vertigo [10, 11]. Two independent reviewer screened the studies, found eligibility, and remove the risk of biasness using the RoB 2.0 and ROBINS-I tools [12, 13]. The review aims to find the primary endpoint, known as the diagnostic yield of atrial fibrillation, whereas the secondary endpoint is represented by the long-term occurrence of stroke or transient ischemic attack (TIA). Results: A dozen studies, including 4,589 participants, were found eligible for both qualitative and quantitative synthesis [14, 15]. The pooled analysis showed that extended cardiac monitoring markedly improved the detection of atrial fibrillation compared with short-term monitoring (pooled odds ratio = 3.51; 95% confidence interval, 2.11–5.85; p < 0.001) [16, 17]. Considerable statistical heterogeneity was observed among the included studies (I² = 78.4%) [18, 19]. From the qualitative summary of four studies, it appeared that higher AF detection followed by initiation of oral anticoagulation therapy was linked with an estimated absolute risk reduction of 1.8% for stroke or transient ischemic attack over a two-year period [20, 21]. However, including several non-randomized studies contributes a moderate to serious risk of bias, especially in the evaluation of long-term outcomes [22, 23]. Conclusion: Extended cardiac monitoring occur more than 48 hours and shown a clear advantage over standard short-term monitoring in detecting new-onset atrial fibrillation among patients with unexplained recurrent transient vertigo [1, 24]. Is present strong diagnostic yield and the observed link between early AF detection, timely anticoagulation, and lower stroke risk, there compelling is needed to revise existing cardiac screening guidelines for this high-risk group. So, monitoring cardiac activity for longer-duration in routine practice could significantly enhance both diagnosis and prevention strategies [25, 26].

Keywords

Introduction

The search will be limited to articles published in the English wording from January 1, 2010, to the present to ensure the inclusion of recent monitoring technology [124,125]. Reference lists of included studies and relevant review articles will be manually screened for additional eligible papers (hand searching) [126, 127].

1. 3. Study Selection

All records identified through the database searches will be uploaded to a reference management tool, and duplicates will be removed [128, 129]. Two independent reviewers will filter titles and abstracts against the eligibility criteria [130, 131]. Any record deemed potentially relevant by either reviewer will proceed to the full-text review stage [132, 133]. The same two independent reviewers will then assess the full texts for final inclusion [134, 135]. Any disagreements at either stage will be resolved through discussion or consultation with a third reviewer [136, 137]. The selection process will be documented in a PRISMA flow diagram [138, 139].

1. 4. Data Extraction and Risk of Bias Assessment

Data Extraction

Data will be extracted using a pre-piloted, standardized form [140, 141]. The extracted data will include study characteristics (author/year, country, study design), participant characteristics (age, sex, CHADS-VASc score if reported), intervention details (type and duration of extended monitoring), and all quantitative data for the primary and secondary outcomes [142, 143].

Risk of Bias Assessment

The risk of bias in the included studies will be assessed independently by two reviewers using validated tools [144, 145]:

• Cochrane Risk of Bias tool (RoB 2.0): Used for all randomized controlled trials (RCTs) [146, 147].
• Risk of Bias in Non-randomized Studies of Interventions (ROBINS-I): Used for non-randomized studies (e.g., observational cohorts) to assess bias across multiple [146, 147].
  5. Data Synthesis and Analysis

Suppose four or more included studies report sufficiently homogenous outcome data (e.g., AF detection rates). In that case, a Meta-Analysis will be performed using a random-effects model to calculate pooled diagnostic yield (Odds Ratios or Relative Risks) with 95% confidence intervals [150, 151]. Heterogeneity will be estimated using the I2 statistic [152, 153].

Due to high clinical or methodological heterogeneity if the quantitative pooling is not become appropriate, a comprehensive, structured qualitative synthesis is performed [154, 155]. Findings will be arranged in grouped and discussed by monitoring duration and device type, focusing on consistency, limitations, and clinical implications across the different study designs [156, 157].

3. RESULTS

1. 1. Finding the Right Studies (Study Selection)

When we searched in PubMed, Embase and Cochrane, we found almost 2,800 papers in starting only [158, 159]. After that we removed the duplicate ones and then we just went through titles and also abstracts. From that checking, around 158 papers we kept for full text reading [160, 161]. But after reading properly, at last we only selected 12 studies, and these studies had total around 4,589 patients in them [162, 163].

To show how we came finally to these 12 studies, we used the PRISMA 2020 flow diagram (Figure 1) [164, 165].

In that figure, it is mentioned why many papers were removed in each step. Some studies had stroke patients already, some studies had very short monitoring time, so we cannot take those papers [166, 167].

Figure 1:  PRISMA flow diagram of study selection process

1. 2. What the Studies Looked Like (Study Characteristics)

The 12 papers that we included, there study type was not same. Most of them were long-term observational type studies, and few were small randomised trials also [168, 169]. The average age of patients in these studies was quite high, like around 62 to 78 years, which shows that this group is already high-risk type [170, 171]. The monitoring methods were also not same in all papers. Some used 7-day Holter, some used 14-day patch type device (MCOT), and some studies shows that they used long-term implantable loop recorders (ILR) [172, 173]. We keep all the main details like monitoring time and number of patients involve in each study in Table 2 [174, 175].

Risk of bias was coded numerically (1 = Low, 2 = Moderate, 3 = Serious), According to ROBINS-I and RoB 2.0 guidelines

Fig. 2 Traffic Light Plot

1. 4. What Did We Find? (AF Detection Yield - Primary Outcome)

When comparing extended monitoring (longer than 48 hours) to the standard short-term approach (48 hours or less), we found a clear and strong result: showed in Table 4. Extended monitoring detected significantly more cases of new Atrial Fibrillation [186, 187]. The numerical data presented in table has supporting the analysis, by including the Odds Ratio and 95% Confidence Intervals for each individual study, is presented in Table 4. The result of this quantitative synthesis is graphically showed in Forest Plot, as Fig.3.

• Odds Ratio of 3.51: Patients monitored for a longer period were 3.5 times more likely to be diagnosed with AF. This difference is highly significant (p < 0.001) [188, 189].
• Duration Matters: The rate of new AF detection strongly depended on how long monitoring lasted. Detection rates were lowest for 7-day monitoring (around 2.1%) and highest for long-term devices (up to 14.5% when using Implantable Loop Recorders) [190, 4].
• Data Variation: We observed high statistical variation across studies (I2 = 78.4%). This is likely due to the huge difference in monitoring times (7 days versus 18 months), which confirms that duration is the key driver of AF discovery [5, 6].

Figure 3: Forest Plot of Atrial Fibrillation Diagnostic Yield: Extended Cardiac Monitoring vs. Standard Monitoring.

1. 5. Does Detection Lead to Prevention? (Stroke Incidence - Secondary Out- come)

Data on whether this detection actually led to fewer strokes were available from four cohort studies [7, 8].

• In patients whose AF was found through extended monitoring and who were subsequently put on blood thinners, the data suggested a reduction in stroke risk [9, 10].
• The estimated Absolute Risk Reduction (ARR) for stroke/TIA was 1.8% over 2 years [11, 12]. This means that for every 100 high-risk patients screened and treated, nearly 2 strokes were prevented over two years [13, 14].
• We did not combine this data statistically due to the high variation and moderate risk of bias in these observational studies, but the clinical trend is highly positive [15, 16]. Figure 3 illustrates this trend (e.g., a Forest Plot) [17, 18].

3.6.                            Publication Bias Assessment

The Funnel Plot displays the Log Odds Ratio (x-axis) for Atrial Fibrillation (AF) diagnostic yield plotted against the Standard Error of the Log Odds Ratio (y-axis) in (Fig 4). Studies with higher precision (smaller standard error) are positioned towards the top. A symmetrical, inverted funnel shape suggests a low likelihood of publication bias, while asymmetry or missing studies at the bottom indicates potential bias.

Fig 4: Funnel Plot Visualizing Publication Bias for the Primary Outcome (AF Diagnostic Yield).

4. DISCUSSION

1. 1. Key Findings and Interpretation

This systematic review and meta-analysis addresses a critical gap in managing transient unexplained vertigo by synthesizing evidence on extended cardiac rhythm monitoring for Atrial Fibrillation (AF) detection [19, 20, 21]. Our primary finding shows a significantly higher detection rate for AF when monitoring lasts longer than 48 hours compared to the standard short-term approach (pooled odds ratio: 3.51, p < 0.001) [22, 23]. This increase is strongly constant with findings from major randomized trials in secondary stroke prevention (e.g., Sanna et al., 2014 [1]), effectively extending that high-level evidence to the high-risk vertigo population [24, 25, 26]. This evidence suggests that recurrent vertigo, when other peripheral causes are not present in the patient, then the reason is irregular AF but it is not diagnose through short term heart- monitoring [27, 28]. The detection rates varied significantly with the duration of monitoring, ranging from 2.1% for a 7-day Holter, up to 14.5% when using long-term Implantable Loop Recorders (ILRs) [29, 30, 31]. This clear dose-response relationship highlights the intermittent and often silent nature of AF in these patients [32, 33]. Consequently, the use of longer-term, continuous heart monitoring devices is must be used, especially in patients who have existing cardiovascular risk factors, needs immediate review [34, 35, 36].

1. 2. Link to Long-Term Stroke Outcomes

By looking at our secondary aim, it is shown how detection of AF in patients impacts their lives, and the result is found that by giving oral anticoagulants to patients, we can reduce the risk of stroke [39, 40, 41]. But the studies that are found are very heterogeneous because the number of studies is small [42, 43, 44]. By combining four studies, the result comes out positive because it can reduce stroke/TIA risk up to 1.8% [39, 40, 41]. This reduction is clinically important but mostly comes from different observational studies; therefore, careful interpretation is needed [42, 43, 44]. So, here the concluded result is that extended cardiac monitoring is useful to detect AF, and then preventive treatment like anticoagulants can be given because it can reduce the chances of stroke/TIA in patients [45, 46, 47].

1. 3. Limitations and Data Heterogeneity

Before understanding the conclusion of this review, keep in mind there are also some limitation [52, 53, 54]. High statistical heterogeneity (I2 = 78.4% for the primary outcome) was find with a dominant issue [55, 56, 57]. This is primarily caused by the wide range in monitoring durations (from 7 days to 18 months) and major differences in patient characteristics and initial diagnostic workups across the studies [58, 59, 60].

Further most, non-randomized cohort designs is mostly used studies [61, 62]. This fact alone introduced a moderate to serious risk of bias in domains like confounding and participant selection, according to our ROBINS-I assessment [63, 64, 65]. Specifically, we cannot fully rule out the influence of other unmeasured cardiovascular risk factors or subtle, missed strokes, which stops us our ability to show a definitive, causal link between AF detection and stroke reduction [66, 63].

1. 4. Clinical Practice and Future Research

Clinical Implications: Our findings, represent that the high- quality AF cardiac screening trials [67, 68, 69], strongly suggest that protocols in which cardiac monitoring of only  24- 48 hour are not sufficient for patients with recurrent, unexplained vertigo, particularly those over 60 years old [70, 71]. Extended cardiac monitoring (such as 7-day or 14-day patches/monitors) should be adopted as the standard of care for this high-risk group to effectively prevent cardioembolic stroke [72, 73, 74].

Future Research: To resolve the current limitations, future studies must consider:

1. Large-scale, multi-center Randomized Controlled Trials (RCTs) directly com- paring standard care with structured, extended monitoring protocols (e.g., 14-day Mobile Cardiac Outpatient Telemetry) [75, 76, 77].
2. Studies must use stroke/TIA incidence as the primary endpoint and include comprehensive cost-effectiveness analyses for different monitoring strategies [78, 79, 80].
3. We need to standardize the definition of "unexplained vertigo" to reduce methodological differences and heterogeneity in future trials [81, 82, 83].

5. CONCLUSION

Extended cardiac rhythm monitoring, which runs for more than 48 hours, significantly improves the detection rate of atrial fibrillation in patients with unexplained recurrent transient vertigo [84, 85, 86], achieving a pooled odds ratio of 3.51 over standard short-term monitoring [87, 88, 89]. This improved detection, followed by appropriate anticoagulation, is associated with a meaningful reduction in long-term stroke risk [90, 91, 92]. These findings justify immediate modification of cardiac screening guidelines toward longer-duration monitoring protocols, providing a clear evidence base for global stroke prevention strategies [93, 94, 95].

6. DECLARATIONS
   1. Competing Interests

The authors have no competing interests to declare. All authors certify that they have no affiliations with or involvement in any organization or entity with any financial or non-financial interest in the subject matter discussed in this manuscript.

1. 2. Funding

The authors did not receive support from any organization for the submitted work.

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