Evidence map›Paper›PMID 30861298›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2019

Predictors of low risk for dropout from the liver transplant waiting list for hepatocellular carcinoma in long wait time regions: Implications for organ allocation.

Neil Mehta, Jennifer L Dodge, Ryutaro Hirose, John P Roberts, Francis Y Yao

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
  2. Article
  3. Cytomegalovirus Reactivation Is Associated With Lower Rates of Hepatocellular Carcinoma Recurrence After Liver Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Surveillance and Monitoring of Hepatocellular Carcinoma During the COVID-19 Pandemic.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Donation After Circulatory Death Is Associated With Similar Posttransplant Survival in All but the Highest-Risk Hepatocellular Carcinoma Patients.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2020
    Article
  18. Review
  19. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Neil MehtaDivision of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, California.
Jennifer L DodgeDivision of Transplant Surgery, Department of Surgery, University of California, San Francisco, San Francisco, California.
Ryutaro HiroseDivision of Transplant Surgery, Department of Surgery, University of California, San Francisco, San Francisco, California.
John P RobertsDivision of Transplant Surgery, Department of Surgery, University of California, San Francisco, San Francisco, California.
Francis Y YaoDivision of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, California.
University of California, San Francisco · US

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
NIDDK NIH HHS P30 DK026473NIDDK NIH HHS P30 DK026743
6 · The paper itself

Abstract

All patients with hepatocellular carcinoma meeting United Network for Organ Sharing T2 criteria currently receive the same listing priority for liver transplant (LT). A previous study from our center identified a subgroup with a very low risk of waitlist dropout who may not derive immediate LT benefit. To evaluate this issue at a national level, we analyzed within the United Network for Organ Sharing database 2052 patients with T2 hepatocellular carcinoma receiving priority listing from 2011 to 2014 in long wait time regions 1, 5, and 9. Probabilities of waitlist dropout were 18.3% at 1 year and 27% at 2 years. In multivariate analysis, factors associated with a lower risk of waitlist dropout included Model for End-Stage Liver Disease-Na < 15, Child's class A, single 2- to 3-cm lesion, and α-fetoprotein ≤20 ng/mL. The subgroup of 245 (11.9%) patients meeting these 4 criteria at LT listing had a 1-year probability of dropout of 5.5% vs 20% for all others (P < .001). On explant, the low dropout risk group was more likely to have complete tumor necrosis (35.5% vs 24.9%, P = .01) and less likely to exceed Milan criteria (9.9% vs 17.7%, P = .03). We identified a subgroup with a low risk of waitlist dropout who should not receive the same LT listing priority.

Indexed as

Carcinoma, HepatocellularFemaleFollow-Up StudiesHealth Care RationingHealth PrioritiesHumansLiver NeoplasmsLiver TransplantationMaleMiddle AgedPatient DropoutsPrognosisResource AllocationSeverity of Illness IndexSurvival RateTime-to-Treatmentclinical research/practicehealth services and outcomes researchliver disease malignantliver transplantation/hepatologyorgan allocationorgan procurement and allocationOrgan Procurement and Transplantation Network (OPTN)recipient selectionUnited Network for Organ Sharing (UNOS)

Identifiers

PMID30861298
PMCPMC7072024
OpenAlexW2922047681

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.