Evidence map›Paper›PMID 42245899›Full record

ArticleCureus2026

Electrocardiographic and Hemodynamic Changes During Tilt-Table Testing in Patients With Syncope.

Ugne Stirkaite, Diana Rinkuniene

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ugne StirkaiteMedical Academy, Lithuanian University of Health Sciences, Kaunas, LTU.
Diana RinkunieneCardiology, Lithuanian University of Health Sciences, Kaunas, LTU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Syncope is a common clinical condition with diverse underlying mechanisms, making its evaluation challenging. Tilt-table testing is widely used to assess autonomic and cardiovascular responses; however, the role of electrocardiographic (ECG) parameters in differentiating syncope types remains unclear. Methodology This retrospective study analyzed patients who underwent tilt-table testing for syncope evaluation in 2023-2024. A total of 59 patients were included and divided into three groups: orthostatic hypotension (n = 20), vasovagal syncope (n = 19), and negative test results (n = 20). ECG parameters (P-wave duration, PR interval, QRS duration, QTc interval, and T-wave duration) and hemodynamic variables (systolic and diastolic blood pressure and heart rate) were assessed at five time points. Linear mixed models were used to evaluate the effects of group, time, and their interaction. Results Most ECG parameters showed significant changes over time; however, no consistent group-time interactions were observed, indicating similar temporal patterns across groups. P-wave duration and PR interval differed between groups. In contrast, both systolic and diastolic blood pressure demonstrated significant group-time interactions (p < 0.001), reflecting distinct hemodynamic response patterns between syncope types. Heart rate increased significantly during orthostatic testing but did not differ between groups. Conclusions ECG parameters reflect general autonomic adaptation but lack specificity for differentiating syncope etiology. In contrast, hemodynamic responses, particularly blood pressure changes, provide greater diagnostic value and should be the primary focus during orthostatic testing.

Indexed as

autonomic nervous systemelectrocardiographyhemodynamicsorthostatic hypotensionsyncopetilt-table testingvasovagal syncope

Identifiers

PMID42245899
PMCPMC13231248

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.