Evidence map›Paper›PMID 31313464›Full record

ArticlePediatric transplantation2019

Predicting chance of liver transplantation for pediatric wait-list candidates.

Xun Luo, Douglas B Mogul, Allan B Massie, Tanveen Ishaque, John F P Bridges, Dorry L Segev

Abstract read
In one paragraph

Article in Pediatric transplantation, 2019. 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. Article
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

6 authors.

Xun LuoDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-0244-9832
Douglas B MogulDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-6486-3302
Allan B MassieDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Tanveen IshaqueDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-3523-243X
John F P BridgesDepartment of Surgery, Ohio State University, Columbus, Ohio.
Dorry L SegevDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

Reducing geographic disparities in kidney and liver allocationR01DK111233 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WARREN, DANIEL S · 2016 to 2019
$2.5M
Patient Oriented Research in Solid Organ TransplantationK24AI144954 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGEV, DORRY L. · 2020 to 2024
$956k
Patient Oriented Research in Kidney Disease and Transplant SurgeryK24DK101828 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SEGEV, DORRY L. · 2014 to 2018
$922k
Determinants of chronic kidney disease in African-American live kidney donorsK01DK101677 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MASSIE, ALLAN B · 2015 to 2019
$789k
Improving pediatric liver transplant allocationK08HS023876 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI MOGUL, DOUGLAS · 2015 to 2019
$787k
AHRQ HHS 5K08HS023876-02AHRQ HHS K08 HS023876NIAID NIH HHS K24 AI144954NIDDK NIH HHS K01 DK101677NIDDK NIH HHS K01DK101677NIDDK NIH HHS K24 DK101828NIDDK NIH HHS K24DK101828NIDDK NIH HHS R01 DK111233NIDDK NIH HHS R01DK111233
6 · The paper itself

Abstract

Information about wait-list time has been reported as one of the single most frequently asked questions by individuals awaiting a transplant but data regarding wait-list time have not been processed in a useful way for pediatric candidates. To predict chance of receiving a DDLT, we identified 6471 pediatric (<18 years), non status-1A, liver-only transplant candidates between 2006 and 2017 from the SRTR. Cox regression with shared frailty for DSA level effect was used to model the association of blood type, weight, allocation PELD and MELD, and DSA with chance of DDLT. Jackknife technique was used for validation. Median (interquartile range) wait-list time was 100 (34-309) days. Non-O Blood type, higher PELD/MELD score at listing, and DSA were associated with increased chance of DDLT, while age 1-5 years and 10-18 years was associated with lower chance of DDLT (P < 0.001 for all variables). Our model accurately predicted chance of transplant (C-statistic = 0.68) and was able to predict DDLT at specific follow-up times (eg, 3 months). This model can serve as the basis for an online tool that would provide useful information for pediatric wait-list candidates.

Indexed as

Liver TransplantationWaiting ListsAdolescentAlgorithmsChildChild, PreschoolEnd Stage Liver DiseaseHumansInfantLiver FailureProportional Hazards ModelsRegistriesRisk AssessmentSeverity of Illness IndexTissue and Organ Procurementcalculatordeceased donor liver transplantpediatricprediction

Identifiers

PMID31313464
PMCPMC6824918

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.