Evidence map›Paper›PMID 28226199›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2017

Mortality Risk Factors Among Patients With Cirrhosis and a Low Model for End-Stage Liver Disease Sodium Score (≤15): An Analysis of Liver Transplant Allocation Policy Using Aggregated Electronic Health Record Data.

K Atiemo, A Skaro, H Maddur, L Zhao, S Montag, L VanWagner, S Goel, A Kho, B Ho, R Kang and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. The survival benefit of deceased donor liver transplantation using MELD 3.0: A contemporary analysis.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026
    Article
  3. Frailty Increases Hospitalization Rates in an Ambulatory Cohort of Patients With Cirrhosis: The North American Consortium for the Study of End-Stage Liver Disease 3 Prospective Cohort.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026
    Article
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  5. Article
  6. Review
  7. Article
  8. Where you live matters: Area deprivation predicts poor survival and liver transplant waitlisting.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024
    Article
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  12. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

K AtiemoNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
A SkaroDepartment of Transplantation, London Health Sciences Centre, Western University, London, Ontario, Canada.
H MaddurNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
L ZhaoNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
S MontagNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
L VanWagnerNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
S GoelCenter for Health Information Partnerships, Institute for Public Health and Medicine, Chicago, IL.
A KhoCenter for Health Information Partnerships, Institute for Public Health and Medicine, Chicago, IL.
B HoNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
R KangNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
J L HollNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
M M AbecassisNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.ORCID http://orcid.org/0000-0001-9333-463X
J LevitskyNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
D P LadnerNorthwestern University Transplant Research Collaborative (NUTORC), Comprehensive Transplant Center (CTC), Feinberg School of Medicine, Chicago, IL.
Northwestern University · USWestern University · CA

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Northwestern University Clinical and Translational Science Institute (NUCATS)KL2TR001424 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SHARMA, LEENA · 2015 to 2023
$8.1M
Transplant Surgery Scientist Training ProgramT32DK077662 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Richard M Green, Daniela P Ladner · 2007 to 2026
$3.8M
Optimal Older Donor and Recipient Matching to Enhance Liver Transplant OutcomesR21AG049385 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SKARO, ANTON I, ZHAO, LIHUI · 2015 to 2016
$441k
NCATS NIH HHS KL2 TR001424NCATS NIH HHS UL1 TR001422NHLBI NIH HHS L30 HL129581NIA NIH HHS R21 AG049385NIDDK NIH HHS T32 DK077662
6 · The paper itself

Abstract

Although the Model for End-Stage Liver Disease sodium (MELD Na) score is now used for liver transplant allocation in the United States, mortality prediction may be underestimated by the score. Using aggregated electronic health record data from 7834 adult patients with cirrhosis, we determined whether the cause of cirrhosis or cirrhosis complications was associated with an increased risk of death among patients with a MELD Na score ≤15 and whether patients with the greatest risk of death could benefit from liver transplantation (LT). Over median follow-up of 2.3 years, 3715 patients had a maximum MELD Na score ≤15. Overall, 3.4% were waitlisted for LT. Severe hypoalbuminemia, hepatorenal syndrome, and hepatic hydrothorax conferred the greatest risk of death independent of MELD Na score with 1-year predicted mortality >14%. Approximately 10% possessed these risk factors. Of these high-risk patients, only 4% were waitlisted for LT, despite no difference in nonliver comorbidities between waitlisted patients and those not listed. In addition, risk factors for death among waitlisted patients were the same as those for patients not waitlisted, although the effect of malnutrition was significantly greater for waitlisted patients (hazard ratio 8.65 [95% CI 2.57-29.11] vs. 1.47 [95% CI 1.08-1.98]). Using the MELD Na score for allocation may continue to limit access to LT.

Indexed as

Electronic Health RecordsModels, StatisticalResource AllocationEnd Stage Liver DiseaseFemaleFollow-Up StudiesHumansLiver CirrhosisLiver TransplantationMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentSeverity of Illness IndexSodiumSodiumcirrhosisclassification systems: Model for EndStage Liver Disease (MELD)clinical research/practicehealth services and outcomes researchliver transplantation/hepatologypatient characteristicspatient survival

Identifiers

PMID28226199
PMCPMC5769449
OpenAlexW2590505045

What OpenQuestion holds

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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.