Evidence map›Paper›PMID 38992054›Full record

ArticleScientific reports2024

BOMS: blockchain-enabled organ matching system.

Ikechi Saviour Igboanusi, Chigozie Athanasius Nnadiekwe, Joseph Uche Ogbede, Dong-Seong Kim, Artem Lensky

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. 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. Review
  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

5 authors.

Ikechi Saviour IgboanusiICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, South Korea. ikechisaviour@kumoh.ac.kr.
Chigozie Athanasius NnadiekweDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea.
Joseph Uche OgbedeVascular Biology Program, Boston Children's Hospital, Boston, MA, USA.
Dong-Seong KimDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, South Korea. dskim@kumoh.ac.kr.
Artem LenskySchool of Engineering and Technology, The University of New South Wales, Canberra, ACT, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work proposes a Blockchain-enabled Organ Matching System (BOMS) designed to manage the process of matching, storing, and sharing information. Biological factors are incorporated into matching and the cross-matching process is implemented into the smart contracts. Privacy is guaranteed by using patient-associated blockchain addresses, without transmitting or using patient personal records in the matching process. The matching algorithm implemented as a smart contract is verifiable by any party. Clinical records, process updates, and matching results are also stored on the blockchain, providing tamper-resistance of recipient's records and the recipients' waiting queue. The system also is capable of handling cases in which there is a donor without an immediate compatible recipient. The system is implemented on the Ethereum blockchain and several scenarios were tested. The performance of the proposed system is compared to other existing organ donation systems, and ours outperformed any existing organ matching system built on blockchain. BOMS is tested to ascertain its compatibility with public, private, and consortium blockchain networks, checks for security vulnerabilities and cross-matching efficiency. The implementation codes are available online.

Indexed as

AlgorithmsBlockchainTissue and Organ ProcurementComputer SecurityHumansTissue DonorsBlockchainCross-matchingMedical dataOrgan matchingSmart contract

Identifiers

PMID38992054
PMCPMC11239829

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.