Evidence map›Paper›PMID 26973389›Full record

ReviewWorld journal of gastroenterology2016

Advances in liver transplantation allocation systems.

Michael L Schilsky, Maryam Moini

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Liver transplantation and waitlist mortality for HCC and non-HCC candidates following the 2015 HCC exception policy change.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2019
    Article
  16. Article
  17. 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

2 authors.

Michael L SchilskyMichael L Schilsky, Departments of Medicine (Digestive Diseases) and Surgery (Transplantation and Immunology), Yale University Medical Center, New Haven, CT 06520, United States.
Maryam MoiniMichael L Schilsky, Departments of Medicine (Digestive Diseases) and Surgery (Transplantation and Immunology), Yale University Medical Center, New Haven, CT 06520, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growing number of patients in need of liver transplantation, there is a need for adopting new and modifying existing allocation policies that prioritize patients for liver transplantation. Policy should ensure fair allocation that is reproducible and strongly predictive of best pre and post transplant outcomes while taking into account the natural history of the potential recipients liver disease and its complications. There is wide acceptance for allocation policies based on urgency in which the sickest patients on the waiting list with the highest risk of mortality receive priority. Model for end-stage liver disease and Child-Turcotte-Pugh scoring system, the two most universally applicable systems are used in urgency-based prioritization. However, other factors must be considered to achieve optimal allocation. Factors affecting pre-transplant patient survival and the quality of the donor organ also affect outcome. The optimal system should have allocation prioritization that accounts for both urgency and transplant outcome. We reviewed past and current liver allocation systems with the aim of generating further discussion about improvement of current policies.

Indexed as

Patient SelectionWaiting ListsDecision Support TechniquesDelivery of Health CareDonor SelectionEnd Stage Liver DiseaseHealthcare DisparitiesHumansLiver TransplantationModels, OrganizationalPredictive Value of TestsRisk AssessmentRisk FactorsTissue and Organ ProcurementTissue DonorsTreatment OutcomeAllocationLiverModel for end-stage liver diseaseTransplantation

Identifiers

PMID26973389
PMCPMC4779916

What OpenQuestion holds

Textmetadata
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.