Evidence map›Paper›PMID 37337600›Full record

ArticleAnnals of surgical treatment and research2023

Modified Charlson comorbidity index as a survival prediction tool for older patients after liver transplantation.

Jiho Choi, Eun-Woo Choi, YoungRok Choi, Su Young Hong, Sanggyun Suh, Kwangpyo Hong, Eui Soo Han, Jeong-Moo Lee, Suk Kyun Hong, Nam-Joon Yi and 2 more

Abstract read
In one paragraph

Article in Annals of surgical treatment and research, 2023. 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
–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

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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.

  1. Article
  2. Article
  3. Article
  4. Evaluating Post-Transplant Outcomes in Elderly Liver Recipients Over 70: A Propensity-Score Matching Analysis.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Article
  5. Article
  6. 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.

Jiho ChoiDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0005-5731-3029
Eun-Woo ChoiDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0004-0524-7712
YoungRok ChoiDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-2408-7086
Su Young HongDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9934-0456
Sanggyun SuhDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7985-2975
Kwangpyo HongDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3220-8506
Eui Soo HanDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-9582-1255
Jeong-Moo LeeDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-7806-8759
Suk Kyun HongDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-0020-6215
Nam-Joon YiDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5467-425X
Kwang-Woong LeeDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-6412-1926
Kyung-Suk SuhDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9535-7349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: An increasing number of older patients now undergo liver transplantation (LT). Although the overall outcomes in older patients are not different from those of younger patients, there is no tool to predict LT prognosis in older patients. We hypothesized that a modified Charlson comorbidity index (mCCI) and 5-factor modified frailty index (mFI-5) can predict outcomes in older patients after LT. Methods: This retrospective study included 155 patients (aged >65 years) who underwent LT at Seoul National University Hospital. The recipients were subcategorized into 2 groups based on the mCCI score and mFI-5: the low (0-1) and high (2-5) mCCI groups, and low (≤0.4) and high (>0.4) mFI-5 groups. The independent effect of each variable on post-LT survival was determined using the mCCI subgroup, age at transplantation, sex, Child-Turcotte-Pugh score, model for end-stage liver disease (MELD) score, and mFI-5 subgroup. Results: The high-mCCI group (41 patients) showed significantly lower 1- and 3-month and 1-, 3-, and 5-year survival than the low-mCCI group. Using the Cox regression model, the mCCI, sex, and MELD score remained significant. The mFI-5 was not a significant factor to predict patients' survival. Conclusion: The mCCI and MELD scores could be used to predict post-LT survival in older patients.

Indexed as

Acute liver failureEnd stage liver diseaseHepatocellular carcinomaImmunosuppressionPatient care

Identifiers

PMID37337600
PMCPMC10277175

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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.