Evidence map›Paper›PMID 34821718›Full record

ArticleBioengineering (Basel, Switzerland)2021

Machine Learning Evaluation of Biliary Atresia Patients to Predict Long-Term Outcome after the Kasai Procedure.

Martina Caruso, Carlo Ricciardi, Gregorio Delli Paoli, Fabiola Di Dato, Leandro Donisi, Valeria Romeo, Mario Petretta, Raffaele Iorio, Giuseppe Cesarelli, Arturo Brunetti and 1 more

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

11 authors at 2 institutions in 1 country.

Martina CarusoDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0002-4946-4960
Carlo RicciardiDepartment of Electrical Engineering and Information Technology, University of Naples "Federico II", 80125 Naples, Italy.ORCID 0000-0001-7290-6432
Gregorio Delli PaoliDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0002-4053-0757
Fabiola Di DatoDepartment of Translational Medical Sciences, University of Naples "Federico II", 80131 Naples, Italy.
Leandro DonisiDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0002-9746-2265
Valeria RomeoDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.
Mario PetrettaDepartment of Translational Medical Sciences, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0002-8001-4298
Raffaele IorioDepartment of Translational Medical Sciences, University of Naples "Federico II", 80131 Naples, Italy.
Giuseppe CesarelliBioengineering Unit, Institute of Care and Scientific Research Maugeri, 82037 Telese Terme, Italy.ORCID 0000-0001-8303-5900
Arturo BrunettiDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0001-7057-3494
Simone MaureaDepartment of Advanced Biomedical Sciences, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0002-8269-3765
University of Naples Federico II · ITIstituti Clinici Scientifici Maugeri · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kasai portoenterostomy (KP) represents the first-line treatment for biliary atresia (BA). The purpose was to compare the accuracy of quantitative parameters extracted from laboratory tests, US imaging, and MR imaging studies using machine learning (ML) algorithms to predict the long-term medical outcome in native liver survivor BA patients after KP. Twenty-four patients were evaluated according to clinical and laboratory data at initial evaluation (median follow-up = 9.7 years) after KP as having ideal (

Indexed as

artificial intelligencebilirubinmagnetic resonanceshear-wave elastographyultrasound

Identifiers

PMID34821718
PMCPMC8615125
OpenAlexW3209826086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.