Evidence map›Paper›PMID 40911308›Full record

Trial reportJAMA network open2025

Cardiopulmonary Point-of-Care Ultrasonography for Hospitalist Management of Undifferentiated Dyspnea.

Kameswari Maganti, Catherine Chen, Ankush D Jamthikar, Payal Parikh, Naveena Yanamala, Partho P Sengupta

Erratum issuedAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Error in Figure 1.JAMA network open · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kameswari MagantiDivision of Cardiovascular Diseases and Hypertension, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Catherine ChenDivision of Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Ankush D JamthikarDivision of Cardiovascular Diseases and Hypertension, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Payal ParikhDivision of Internal Medicine, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Naveena YanamalaDivision of Cardiovascular Diseases and Hypertension, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.
Partho P SenguptaDivision of Cardiovascular Diseases and Hypertension, Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The association of cardiopulmonary point-of-care ultrasonography (POCUS) with length of stay (LOS) and hospitalization costs for patients admitted to internal medicine wards remains uncertain. Objective: To evaluate a collaborative implementation model involving hospitalists, sonographers, and a remote cardiologist for integrating cardiopulmonary POCUS into the assessment of adult patients (≥18 years) hospitalized with undifferentiated dyspnea, and to assess its association with LOS and hospitalization costs. Design, Setting, and Participants: This quality improvement study employed a type 1 effectiveness-implementation hybrid design using a 6-month stepped-wedge cluster randomized approach, conducted at a tertiary care hospital in the US between December 7, 2023, and July 2, 2024, to compare the standard-of-care (control) with the intervention group. Patients were eligible for inclusion if they were older than 18 years, admitted to 1 of the 5 internal medicine teaching hospitalist teams, and presented with undifferentiated dyspnea. Exposure: Structured cardiopulmonary POCUS examinations performed by hospitalists and/or sonographers, integrated into routine assessment of dyspnea. Main Outcomes and Measures: Study outcomes (LOS and hospitalization costs) were presented using the reach, effectiveness, adoption, and implementation (RE-AIM) framework. Results: The study reached 208 patients (median [IQR] age, 71 [59-80] years; 121 female [58%]), including 107 in the control group and 101 in the POCUS group. The implementation of cardiopulmonary POCUS was associated with a 30.3% (95% CI, 5.5%-48.9%) reduction in expected LOS (mean [SD] LOS, 8.3 [5.2] days for the POCUS group vs 11.9 [7.5] days in the control group). Based on cumulative assessments, POCUS use was associated with a total reduction of 246 hospital bed-days and direct cost savings of $751 537, with an incremental cost-effectiveness ratio of $3055 per hospital bed-day saved. POCUS altered medical decisions in 30 patients (35%). Adoption and implementation of POCUS by hospitalists remained limited despite comprehensive training, with only 20% of POCUS evaluations (17 patients) being performed independently, while the majority relied on sonographers. Conclusions and Relevance: In this quality improvement study, cardiopulmonary POCUS implementation was associated with a significant reduction in LOS and hospitalization costs, highlighting its clinical utility and potential for improved hospital efficiency; however, limited adoption by hospitalists underscores the need for ongoing training, support, and professional incentives to strengthen competency and motivation. Multicenter studies are needed to evaluate tailored educational models and sustainable support systems to optimize long-term integration of POCUS into routine practice.

Indexed as

DyspneaHospitalistsPoint-of-Care SystemsAgedFemaleHospitalizationHumansLength of StayMaleMiddle AgedQuality ImprovementUltrasonography

Identifiers

PMID40911308
PMCPMC12413653

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.