Evidence map›Paper›PMID 39158228›Full record

ArticleClinical practice and cases in emergency medicine2024

Pneumothorax Identified by a Remote Physician Using Paramedic-obtained Tele-ultrasound: Case Report.

Shriman Balasubramanian, Michael DeFilippo, Michael Stone, Gabriela Galli, Matthew McCarty, Brock Daniels

Abstract read
In one paragraph

Article in Clinical practice and cases in emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Live teleultrasound for evaluation of the chest: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. 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

6 authors.

Shriman BalasubramanianNew York Presbyterian Hospital Cornell and Columbia, Department of Emergency Medicine, New York.
Michael DeFilippoNew York Presbyterian Hospital Cornell and Columbia, Department of Emergency Medicine, New York.
Michael StoneNew York Presbyterian Hospital Cornell and Columbia, Department of Emergency Medicine, New York.
Gabriela GalliNew York Presbyterian Hospital Cornell and Columbia, Department of Emergency Medicine, New York.
Matthew McCartyWeill Cornell Medicine, Department of Emergency Medicine, New York.
Brock DanielsWeill Cornell Medicine, Department of Emergency Medicine, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The use of telemedicine and ultrasound is emerging and novel in the field of community paramedicine. However, there is a paucity of data supporting its use and even less evidence that shows a morbidity and mortality benefit. This case highlights a unique way to diagnose a common medical emergency, which can lead to a good outcome. Case Report: We describe the use of lung point-of-care ultrasound by a trained community paramedic that led to the identification of a pneumothorax in an 86-year-old male at a scheduled home visit. The images were interpreted over telehealth in real-time by an emergency physician, and the patient was transported to the emergency department where the diagnosis was confirmed by chest radiography. He underwent chest tube placement and was discharged five days later after returning to his baseline. Conclusion: Despite minimal data to support or refute the use of paramedic tele-ultrasound, this case highlights a unique opportunity to expand the use of telemedicine and ultrasound in community paramedicine to improve patient outcomes.

Identifiers

PMID39158228
PMCPMC11326067

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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.