Evidence map›Paper›PMID 25216239›Full record

ArticlePloS one2014

Scoring systems for predicting mortality after liver transplantation.

Heng-Chih Pan, Chang-Chyi Jenq, Wei-Chen Lee, Ming-Hung Tsai, Pei-Chun Fan, Chih-Hsiang Chang, Ming-Yang Chang, Ya-Chung Tian, Cheng-Chieh Hung, Ji-Tseng Fang and 2 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Metabolites · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Overview on acute-on-chronic liver failure.Frontiers of medicine · 2016
    Review
  11. 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.

Heng-Chih PanKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chang-Chyi JenqKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Wei-Chen LeeLaboratory of Immunology, Department of General Surgery, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Ming-Hung TsaiDivision of Gastroenterology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Pei-Chun FanKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan.
Chih-Hsiang ChangKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan.
Ming-Yang ChangKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Ya-Chung TianKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Cheng-Chieh HungKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Ji-Tseng FangKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Chih-Wei YangKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.
Yung-Chang ChenKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Taipei, Taiwan; Chang Gung University College of Medicine, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiver transplantation can prolong survival in patients with end-stage liver disease. We have proposed that the Sequential Organ Failure Assessment (SOFA) score calculated on post-transplant day 7 has a great discriminative power for predicting 1-year mortality after liver transplantation. The Chronic Liver Failure-Sequential Organ Failure Assessment (CLIF-SOFA) score, a modified SOFA score, is a newly developed scoring system exclusively for patients with end-stage liver disease. This study was designed to compare the CLIF-SOFA score with other main scoring systems in outcome prediction for liver transplant patients.

methodsWe retrospectively reviewed medical records of 323 patients who had received liver transplants in a tertiary care university hospital from October 2002 to December 2010. Demographic parameters and clinical characteristic variables were recorded on the first day of admission before transplantation and on post-transplantation days 1, 3, 7, and 14.

resultsThe overall 1-year survival rate was 78.3% (253/323). Liver diseases were mostly attributed to hepatitis B virus infection (34%). The CLIF-SOFA score had better discriminatory power than the Child-Pugh points, Model for End-Stage Liver Disease (MELD) score, RIFLE (risk of renal dysfunction, injury to the kidney, failure of the kidney, loss of kidney function, and end-stage kidney disease) criteria, and SOFA score. The AUROC curves were highest for CLIF-SOFA score on post-liver transplant day 7 for predicting 1-year mortality. The cumulative survival rates differed significantly for patients with a CLIF-SOFA score ≤8 and those with a CLIF-SOFA score >8 on post-liver transplant day 7.

conclusionThe CLIF-SOFA score can increase the prediction accuracy of prognosis after transplantation. Moreover, the CLIF-SOFA score on post-transplantation day 7 had the best discriminative power for predicting 1-year mortality after liver transplantation.

Indexed as

Research DesignCalibrationDemographyFemaleHospital MortalityHumansLiver TransplantationMaleMiddle AgedOrgan Dysfunction ScoresSeverity of Illness IndexSurvival RateTaiwan

Identifiers

PMID25216239
PMCPMC4162558

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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.