Evidence map›Paper›PMID 41670020›Full record

ArticleClinical cardiology2026

Assessment of Point of Care Lung Ultrasound in the Ambulatory Heart Failure Setting.

David Golombeck, Radiah Khandokar, Joanna Fishbein, Allison Provenzale, Melodie Lin, Marsha McGee, Dora Rossi, Simon Maybaum

Abstract read
In one paragraph

Article in Clinical cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

8 authors.

David GolombeckCardiovascular Institute, Northwell, New Hyde Park, New York, USA.
Radiah KhandokarCardiovascular Institute, Northwell, New Hyde Park, New York, USA.ORCID https://orcid.org/0009-0000-6523-4586
Joanna FishbeinBiostatistics Unit, Office of Academic Affairs, Northwell, New Hyde Park, New York, USA.
Allison ProvenzaleCardiovascular Institute, Northwell, New Hyde Park, New York, USA.
Melodie LinCardiovascular Institute, Northwell, New Hyde Park, New York, USA.
Marsha McGeeCardiovascular Institute, Northwell, New Hyde Park, New York, USA.
Dora RossiCardiovascular Institute, Northwell, New Hyde Park, New York, USA.
Simon MaybaumCardiovascular Institute, Northwell, New Hyde Park, New York, USA.

Funding

Butterfly Inc, Guilford, CT
6 · The paper itself

Abstract

backgroundLimited studies have evaluated lung ultrasound (LUS) in ambulatory heart failure (HF). A six-zone LUS assesses B-lines, a marker of congestion. The Butterfly IQ+ probe features an automated B-line counter (ABLC), eliminating manual counting. We evaluated LUS quality by novice HF providers after training, compared expert manual counts to ABLC, and explored associations between LUS and clinical HF metrics.

methodsThree novice providers underwent 2 h of didactics and 30 proctored exams. Image quality was independently reviewed by two LUS experts. B-lines were counted manually by experts and ABLC. We assessed associations between LUS and four clinical metrics: provider-assessed volume status, > 30% NT-proBNP increase, > 5 lb weight gain, and PAD above goal (CardioMEMS).

resultsSeventy-five subjects were enrolled. Overall, LUS quality was excellent, with 88% good quality. Surprisingly, agreement between expert B-line counts was moderate (Gwet's AC1: 0.49, 95% CI: 0.27 to 0.71) while the accuracy of experts as compared to ABLC was modest (Expert 1 = 61.2%, Expert 2 = 40.3%). Experts correctly identified 93% of positive studies but only 19% of negative studies versus ABLC. Provider volume assessments substantially agreed with LUS (Gwet's AC1: 0.76, 95% CI: 0.61 to 0.91), but providers identified only half of positive LUS cases, suggesting utility in detecting mild volume overload. Only volume overload correlated with positive LUS. Only 25% of subjects had a CardioMEMS.

conclusionNovice providers can perform high-quality LUS after brief training. ABLC reduces B-line counting variability. LUS detects mild pulmonary congestion undetectable by clinical exam, potentially preventing worsening in HF patients.

Indexed as

Ambulatory CareHeart FailureLungPoint-of-Care SystemsPulmonary EdemaAgedClinical CompetenceFemaleHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsUltrasonography

Identifiers

PMID41670020
PMCPMC12892298

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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.