Evidence map›Paper›PMID 32027405›Full record

ArticleClinical transplantation2020

The proportion of Model for End-stage Liver Disease Sodium score attributable to creatinine independently predicts post-transplant survival and renal complications.

Therese Bittermann, Rebecca A Hubbard, James D Lewis, David S Goldberg

Abstract read
In one paragraph

Article in Clinical transplantation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Therese BittermannDivision of Gastroenterology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8576-0193
Rebecca A HubbardDepartment of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
James D LewisDivision of Gastroenterology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
David S GoldbergDivision of Gastroenterology, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Using ethics, epidemiology and high-quality data to optimize the allocation of livers for transplantationR01DK120561 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI GOLDBERG, DAVID SETH · 2019 to 2023
$2.7M
Impact of immunosuppression variability on outcomes after liver transplantationK08DK117013 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BITTERMANN, THERESE · 2018 to 2022
$932k
Improving confounder control in EHR-based studies of cancer epidemiologyR21CA227613 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HUBBARD, REBECCA · 2019 to 2020
$474k
NCI NIH HHS R21 CA227613NIDDK NIH HHS K08 DK117013NIDDK NIH HHS L30 DK110788NIDDK NIH HHS R01 DK120561
6 · The paper itself

Abstract

The post-transplant outcomes of patients with Model for End-stage Liver Disease (MELD) score primarily driven by renal dysfunction are poorly understood. This was a retrospective cohort study of liver transplant (LT) alone recipients between 2005 and 2017 using the United Network for Organ Sharing (UNOS) database. The proportion of MELD Sodium score attributable to creatinine ("KidneyMELD") was calculated: (9.57 × ln (creatinine) × 100)/(MELD-Na - 6.43). The association of KidneyMELD with (a) all-cause mortality and (b) estimated glomerular filtration rate ≤30 mL/min/1.73

Indexed as

End Stage Liver DiseaseLiver TransplantationCreatinineHumansRetrospective StudiesSeverity of Illness IndexSodiumCreatinineSodiumkidney diseasesliver diseasesliver transplantation

Identifiers

PMID32027405
PMCPMC7092814

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Registered trials

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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.