Evidence map›Paper›PMID 38855280›Full record

ReviewWorld journal of critical care medicine2024

Point-of-care ultrasonography spotlight: Could venous excess ultrasound serve as a shared language for internists and intensivists?

Anosh Aslam Khan, Hasham Saeed, Ibtehaj Ul Haque, Ayman Iqbal, Doantrang Du, Abhilash Koratala

Abstract readReview
In one paragraph

Review in World journal of critical care medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Anosh Aslam KhanDepartment of Internal Medicine, Monmouth Medical Center, Long Branch, NJ 07740, United States.
Hasham SaeedDepartment of Internal Medicine, Trinitas Regional Medical Center, Elizabeth, NJ 07202, United States.
Ibtehaj Ul HaqueDepartment of Anesthesiology, Dr. Ruth K M Pfau Civil Hospital, Karachi 74400, Pakistan.
Ayman IqbalDepartment of Internal Medicine, Dow Medical College, Karachi 74200, Pakistan.
Doantrang DuDepartment of Internal Medicine, Monmouth Medical Center, Long Branch, NJ 07740, 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

Point-of-care ultrasonography (POCUS), particularly venous excess ultrasound (VExUS) is emerging as a valuable bedside tool to gain real-time hemodynamic insights. This modality, derived from hepatic vein, portal vein, and intrarenal vessel Doppler patterns, offers a scoring system for dynamic venous congestion assessment. Such an assessment can be crucial in effective management of patients with heart failure exacerbation. It facilitates diagnosis, quantification of congestion, prognostication, and monitoring the efficacy of decongestive therapy. As such, it can effectively help to manage cardiorenal syndromes in various clinical settings. Extended or eVExUS explores additional veins, potentially broadening its applications. While VExUS demonstrates promising outcomes, challenges persist, particularly in cases involving renal and liver parenchymal disease, arrhythmias, and situations of pressure and volume overload overlap. Proficiency in utilizing spectral Doppler is pivotal for clinicians to effectively employ this tool. Hence, the integration of POCUS, especially advanced applications like VExUS, into routine clinical practice necessitates enhanced training across medical specialties.

Indexed as

CongestionDopplerHeart failurePoint-of-care ultrasonographyUltrasoundVenous excess ultrasound

Identifiers

PMID38855280
PMCPMC11155496

What OpenQuestion 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 OpenQuestion graph.