Evidence map›Paper›PMID 28489174›Full record

ReviewArquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery

THE IMPACT OF THE MELD SCORE ON LIVER TRANSPLANT ALLOCATION AND RESULTS: AN INTEGRATIVE REVIEW.

Ana Claudia Oliveira de Moraes, Priscilla Caroliny de Oliveira, Olival Cirilo Lucena da Fonseca-Neto

Abstract readReview
In one paragraph

Review in Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
  8. The effects of prognostic factors on transplant and mortality of patients with end-stage liver disease using Markov multistate model.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2023
    Article
  9. Review
  10. Article
  11. 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

3 authors.

Ana Claudia Oliveira de MoraesInstituto Israelita Albert Einstein, São Paulo, SP, Brazil.
Priscilla Caroliny de OliveiraInstituto Israelita Albert Einstein, São Paulo, SP, Brazil.
Olival Cirilo Lucena da Fonseca-NetoInstituto Israelita Albert Einstein, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Liver transplantation is intended to increase the survival of patients with chronic liver disease in terminal phase, as well as improved quality of life. Since the first transplant until today many changes have occurred in the organ allocation system. Objective: To review the literature on the Model for End-stage Liver Disease (MELD) and analyze its correlation with survival after liver transplantation. Method: An integrative literature review in Lilacs, SciELO, and Pubmed in October 2015, was realized. Were included eight studies related to the MELD score and its impact on liver transplant. Results: There was predominance of transplants in male between 45-55 y. The main indications were hepatitis C, hepatocellular carcinoma and alcoholic cirrhosis. The most important factors post-surgery were related to the MELD score, the recipient age, expanded donor criteria and hemotransfusion. Conclusion: The MELD system reduced the death rate in patients waiting for a liver transplant. However, this score by itself is not a good predictor of survival after liver transplantation.

Indexed as

Liver TransplantationModels, StatisticalEnd Stage Liver DiseaseHumansPatient Selection

Identifiers

PMID28489174
PMCPMC5424692

What OpenQuestion holds

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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.