Evidence map›Paper›PMID 42533320›Full record

ArticleInternational journal of emergency medicine2026

Toward diagnostic precision and context-adaptive therapy in prehospital supraventricular tachycardia.

Jay Prakash, Tonny Veenith, Bram Rochwerg, Kalavathy Swarna

Abstract readLetter
In one paragraph

Article in International journal of emergency medicine, 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

4 authors.

Jay PrakashDepartment of Critical Care Medicine, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India. dr.jay_prakash@rediffmail.com.ORCID http://orcid.org/0000-0002-5290-3848
Tonny VeenithThe Royal Wolverhampton NHS Trust, New Cross Hospital, Wolverhampton, UK.ORCID http://orcid.org/0000-0002-4125-8804
Bram RochwergDivision of Critical Care Medicine, Department of Medicine, Department of Health Research Methods, Evidence and Impact, Knowledge Center, Hamilton Health Sciences, McMaster University, Hamilton, ON, Canada.ORCID http://orcid.org/0000-0002-8293-7061
Kalavathy SwarnaCritical Care, SIMS Hospital, Vadapalani, Chennai, Tamilnadu, India.ORCID http://orcid.org/0009-0009-1584-5296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent scoping review by Gamberini et al. provides a comprehensive overview of the prehospital diagnosis and management of supraventricular tachycardia (SVT), while highlighting substantial heterogeneity in diagnostic accuracy, therapeutic strategies, and emergency medical service (EMS) practices. In this Matter Arising, we build upon their work by discussing key challenges and opportunities for advancing prehospital SVT care. We emphasize the importance of improving diagnostic precision through telemedicine-enabled electrocardiogram interpretation and emerging artificial intelligence-assisted decision support, strengthening implementation of evidence-based non-pharmacological interventions such as the modified Valsalva manoeuvre, optimizing adenosine use based on evolving evidence, and considering the implications of variations in EMS systems and international guideline recommendations. We further highlight the need to interpret existing evidence in the context of temporal heterogeneity, predominantly observational data, and differences in prehospital care models. Future research should focus on prospective multicentre studies, standardized outcome reporting, and implementation strategies that support precision-guided, context-adaptive prehospital SVT management.

Identifiers

PMID42533320
PMCPMC13421730

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.