Evidence map›Paper›PMID 41479998›Full record

ReviewWorld journal of cardiology2025

Point-of-care ultrasound: Uniting cardiology and nephrology at the bedside.

Nikitha C Chandra, Deepti Bhattacharya, Abhilash Koratala

Abstract readReview
In one paragraph

Review in World journal of cardiology, 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. Review
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

3 authors.

Nikitha C ChandraDivision of Pulmonary, Allergy, and Sleep Medicine, Mayo Clinic, Jacksonville, FL 32224, United States.
Deepti BhattacharyaDepartment of Biology, Health and Environment, University of Texas at San Antonio, San Antonio, TX 78249, United States.
Abhilash KoratalaDivision of Nephrology, Medical College of Wisconsin, Milwaukee, WI 53226, United States. akoratala@mcw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiorenal syndrome reflects a complex interplay between cardiac and renal dysfunction, often compounded by fragmented management between cardiology and nephrology. Traditional phrases such as "the heart likes it dry and the kidneys like it wet" oversimplify care and perpetuate misconceptions about diuretic use and fluid management. Emerging evidence points to venous congestion rather than reduced cardiac output as a key driver of worsening renal function and adverse outcomes in heart failure. This article blends current evidence with the authors' perspective and clinical experience to explore the role of point-of-care ultrasound (POCUS) in the hemodynamic assessment of cardiorenal dysfunction, highlighting practical frameworks and tools. Conventional bedside assessment tools are limited, and static markers such as serum creatinine and physical signs can be misleading. POCUS provides a dynamic, physiology-based evaluation by integrating focused cardiac imaging, venous Doppler, lung ultrasound, and abdominal views. Frameworks such as "pump, pipes, and leaks" and scoring systems like venous excess ultrasound enable real-time visualization and quantification of congestion, shifting practice from assumption-based to data-driven care and fostering alignment between specialties. As training opportunities expand and supporting evidence grows, POCUS should be regarded as a core clinical skill in the management of cardiorenal dysfunction, with the potential to improve diagnostic precision and guide targeted therapy.

Indexed as

CardiorenalCongestionPoint-of-care ultrasoundUltrasoundVenous excess ultrasound

Identifiers

PMID41479998
PMCPMC12754073

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.