Evidence map›Paper›PMID 38093038›Full record

ArticleInternational urology and nephrology2024

Evaluation of arteriovenous fistula for hemodialysis with a new generation digital stethoscope: a pilot study.

Pierangela Presta, Nazareno Carullo, Annarita Armeni, Maria Teresa Zicarelli, Michela Musolino, Maria Giovanna Bianco, Salvatore Chiarella, Michele Andreucci, Antonino S Fiorillo, Salvatore Andrea Pullano and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. 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

12 authors at 2 institutions in 1 country.

Pierangela PrestaDepartment of Health Sciences, Renal Unit, "Magna Græcia" University of Catanzaro, Viale Europa-Germaneto, 88100, Catanzaro, Italy.
Nazareno CarulloDepartment of Health Sciences, Renal Unit, "Magna Græcia" University of Catanzaro, Viale Europa-Germaneto, 88100, Catanzaro, Italy.
Annarita ArmeniRenal Unit, "Pugliese-Ciaccio" Hospital of Catanzaro, 88100, Catanzaro, Italy.
Maria Teresa ZicarelliDepartment of Health Sciences, Renal Unit, "Magna Græcia" University of Catanzaro, Viale Europa-Germaneto, 88100, Catanzaro, Italy.
Michela MusolinoDepartment of Health Sciences, Renal Unit, "Magna Græcia" University of Catanzaro, Viale Europa-Germaneto, 88100, Catanzaro, Italy.
Maria Giovanna BiancoBATS Laboratory, Department of Health Sciences, "Magna Græcia" University of Catanzaro, 88100, Catanzaro, Italy.
Salvatore ChiarellaRenal Unit, "Pugliese-Ciaccio" Hospital of Catanzaro, 88100, Catanzaro, Italy.
Michele AndreucciDepartment of Health Sciences, Renal Unit, "Magna Græcia" University of Catanzaro, Viale Europa-Germaneto, 88100, Catanzaro, Italy.
Antonino S FiorilloBATS Laboratory, Department of Health Sciences, "Magna Græcia" University of Catanzaro, 88100, Catanzaro, Italy.
Salvatore Andrea PullanoBATS Laboratory, Department of Health Sciences, "Magna Græcia" University of Catanzaro, 88100, Catanzaro, Italy.
Davide BolignanoDepartment of Health Sciences, Renal Unit, "Magna Græcia" University of Catanzaro, Viale Europa-Germaneto, 88100, Catanzaro, Italy.
Giuseppe CoppolinoDepartment of Health Sciences, Renal Unit, "Magna Græcia" University of Catanzaro, Viale Europa-Germaneto, 88100, Catanzaro, Italy. gcoppolino@unicz.it.ORCID http://orcid.org/0000-0001-8000-0681
Magna Graecia University · ITAzienda Ospedaliera Pugliese Ciaccio · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe management of complications of arteriovenous fistula (AVF) for hemodialysis, principally stenosis, remains a major challenge for clinicians with a substantial impact on health resources. Stenosis not infrequently preludes to thrombotic events with the loss of AVF functionality. A functioning AVF, when listened by a stethoscope, has a continuous systolic-diastolic low-frequency murmur, while with stenosis, the frequency of the murmur increases and the duration of diastolic component decreases, disappearing in severe stenosis. These evidences are strictly subjective and dependent from operator skill and experience. New generation digital stethoscopes are able to record sound and subsequently dedicated software allows to extract quantitative variables that characterize the sound in an absolutely objective and repeatable way. The aim of our study was to analyze with an appropriate software sounds from AVFs taken by a commercial digital stethoscope and to investigate the potentiality to develop an objective way to detect stenosis.

methodsBetween September 2022 and January 2023, 64 chronic hemodialysis (HD) patients were screened by two blinded experienced examiners for recognized criteria for stenosis by Doppler ultrasound (DUS) and, consequently, the sound coming from the AVFs using a 3 M™ Littmann® CORE Digital Stethoscope 8570 in standardized sites was recorded. The sound waves were transformed into quantitative variables (amplitude and frequency) using a sound analysis software. The practical usefulness of the core digital stethoscope for a quick identification of an AVF stenosis was further evaluated through a pragmatic trial. Eight young nephrologist trainees underwent a simple auscultatory training consisting of two sessions of sound auscultation focusing two times on a "normal" AVF sound by placing the digital stethoscope on a convenience site of a functional AVF.

resultsIn 48 patients eligible, all sound components displayed, alone, a remarkable diagnostic capacity. More in detail, the AUC of the average power was 0.872 [95% CI 0.729-0.951], while that of the mean normalized frequency was 0.822 [95% 0.656-0.930]. From a total of 32 auscultations (eight different block sequences, each one comprising four auscultations), the young clinicians were able to identify the correct sound (stenosis/normal AVF) in 25 cases, corresponding to an overall accuracy of 78.12% (95% CI 60.03-90.72%).

conclusionsThe analysis of sound waves by a digital stethoscope permitted us to distinguish between stenotic and no stenotic AVFs. The standardization of this technique and the introducing of data in a deep learning algorithm could allow an objective and fast method for a frequent monitoring of AVF.

Indexed as

Arteriovenous FistulaArteriovenous Shunt, SurgicalAuscultationConstriction, PathologicHumansPilot ProjectsRenal DialysisArteriovenous FistulaDoppler ultrasoundHaemodialysisStenosisStethoscopeThrombosis

Identifiers

PMID38093038
OpenAlexW4389670237

What OpenQuestion holds

Textmetadata
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.