Evidence map›Paper›PMID 37667579›Full record

ArticleJournal of Korean medical science2023

Predicted Impact of the Model for End-Stage Liver Disease 3.0 in a Region Suffering Severe Organ Shortage.

Deok-Gie Kim, Seung Hyuk Yim, Eun-Ki Min, Mun Chae Choi, Jae Geun Lee, Myoung Soo Kim, Dong Jin Joo

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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

7 authors at 1 institution in 1 country.

Deok-Gie KimDepartment of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9653-926X
Seung Hyuk YimDepartment of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2146-3592
Eun-Ki MinDepartment of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3255-1942
Mun Chae ChoiDepartment of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2708-0755
Jae Geun LeeDepartment of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6722-0257
Myoung Soo KimDepartment of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8975-8381
Dong Jin JooDepartment of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea. djjoo@yuhs.ac.ORCID https://orcid.org/0000-0001-8405-1531
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe model for end-stage liver disease 3.0 (MELD3.0) is expected to address the flaws of the current allocation system for deceased donor liver transplantation (DDLT). We aimed to validate MELD3.0 in the Korean population where living donor liver transplantation is predominant due to organ shortages.

methodsKorean large-volume single-centric waitlist data were merged with the Korean Network for Organ Sharing (KONOS) data. The 90-day mortality was compared between MELD and MELD3.0 using the C-index in 2,353 eligible patients registered for liver transplantation. Patient numbers and outcomes were compared based on changes in KONOS-MELD categorization using MELD3.0. Possible gains in MELD points and reduced waitlist mortality were analyzed.

resultsMELD3.0 performed better than MELD (C-index 0.893 for MELD3.0 vs. 0.889 for MELD). When stratified according to the KONOS-MELD categories, 15.9% of the total patients and 35.2% of the deceased patients were up-categorized using MELD3.0 versus MELD categories. The mean gain of MELD points was higher in women (2.6 ± 2.1) than men (2.1 ± 1.9,

conclusionMELD3.0 could predict better waitlist mortality than MELD; however, the merit for women and patients with severe ascites is uncertain, and reduced waitlist mortality from implementing MELD3.0 is limited in regions suffering from organ shortage, as in Korea.

Indexed as

End Stage Liver DiseaseLiver TransplantationTissue and Organ ProcurementAscitesFemaleHumansLiving DonorsMaleSeverity of Illness IndexAllocationLiver TransplantationMELDMELD3.0Waitlist Mortality

Identifiers

PMID37667579
PMCPMC10477074
OpenAlexW4385859923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.