Evidence map›Paper›PMID 40853590›Full record

SynthesisInternal and emergency medicine2025

Predictive accuracy of velocity time integral in predicting in-hospital outcomes in patients with intermediate-risk pulmonary embolism: a systematic review and meta-analysis.

Gunaseelan Rajendran, Sasikumar Mahalingam, Anitha Ramkumar, Ezhilkugan Ganessane, Yuvaraj Krishnamoorthy, P T Kumaresh, Vijayanthi Vijayan, Rajkumar Elanjaeran, K Aswin

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Internal and emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Gunaseelan RajendranDepartment of Trauma and Emergency Medicine, All India Institute of Medical Sciences (AIIMS), Madurai, Thoppur, Austinpatti (Post), Madurai, Tamilnadu, India. drrigs08tkmc@gmail.com.ORCID 0000-0002-1280-209X
Sasikumar MahalingamDepartment of Emergency Medicine and Trauma, Sri Lakshmi Narayana Institute of Medical Sciences, Villianur, Puducherry, India.
Anitha RamkumarDepartment of Emergency Medicine and Trauma, Sri Manakula Vinayagar Medical College and Hospital, Kalitheerthalkuppam, Puducherry, India.
Ezhilkugan GanessaneDepartment of Trauma and Emergency Medicine, All India Institute of Medical Sciences (AIIMS), Madurai, Thoppur, Austinpatti (Post), Madurai, Tamilnadu, India.
Yuvaraj KrishnamoorthyEvidence Synthesis Unit, Partnership for Research Opportunities Planning Upskilling and Leadership (PROPUL) Evidence, Chennai, Tamilnadu, India.
P T KumareshDepartment of Emergency Medicine and Trauma, Karpaga Vinayaga Institute of Medical Sciences and Research Centre, Chengalpattu, Tamilnadu, India.
Vijayanthi VijayanDepartment of Anaesthesiology, Postgraduate Institute of Medical Education and Research, Madhya Marg, Chandigarh, India.
Rajkumar ElanjaeranDepartment of Emergency Medicine and Trauma, Sri Manakula Vinayagar Medical College and Hospital, Kalitheerthalkuppam, Puducherry, India.
K AswinDepartment of Emergency Medicine and Trauma, Indira Gandhi Medical College and Research Institute, Kathirkamam, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intermediate-risk pulmonary embolism (IRPE) is a critical clinical entity with significant mortality risk due to normotensive shock, a condition marked by low cardiac index despite maintained blood pressure. Accurate and timely detection of hemodynamic compromise in IRPE remains a challenge. Velocity Time Integral (VTI), a Doppler echocardiographic parameter, has emerged as a potential non-invasive tool for predicting hospital outcomes, but the evidence remains fragmented. This systematic review and meta-analysis aim to evaluate the diagnostic accuracy of VTI in this context. A systematic literature search encompassing PubMed, EMBASE, and SCOPUS Databases was conducted from inception till December 2024. Studies assessing VTI's diagnostic accuracy for predicting hospital outcomes in IRPE were included. A bivariate random-effects model was used to pool sensitivity and specificity, with heterogeneity analyzed via I

Indexed as

Echocardiography, DopplerPulmonary EmbolismHumansPredictive Value of TestsRisk AssessmentDiagnostic AccuracyIntermediate risk pulmonary embolismNormotensive shockPredictorsPulmonary embolism prognosticationSub-massive pulmonary embolismSystematic Review & Meta-analysisVelocity time integral, VTI, LVOT VTI, RVOT VTI

Identifiers

PMID40853590

What OpenQuestion holds

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Registered trials

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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.