Evidence map›Paper›PMID 31880667›Full record

ArticleJournal of pediatric gastroenterology and nutrition2020

Projected 20- and 30-Year Outcomes for Pediatric Liver Transplant Recipients in the United States.

Mary G Bowring, Allan B Massie, Nadia M Chu, Sunjae Bae, Kathleen B Schwarz, Andrew M Cameron, John F P Bridges, Dorry L Segev, Douglas B Mogul

Open access · greenAbstract read
In one paragraph

Article in Journal of pediatric gastroenterology and nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

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  10. Tiny patients, huge impact: a call to action.Frontiers in public health · 2024
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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

9 authors at 3 institutions in 1 country.

Mary G BowringDepartment of Surgery, Johns Hopkins University School of Medicine.
Allan B MassieDepartment of Surgery, Johns Hopkins University School of Medicine.
Nadia M ChuDepartment of Surgery, Johns Hopkins University School of Medicine.
Sunjae BaeDepartment of Surgery, Johns Hopkins University School of Medicine.
Kathleen B SchwarzDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Andrew M CameronDepartment of Surgery, Johns Hopkins University School of Medicine.
John F P BridgesDepartment of Surgery, Ohio State University, Columbus, OH.
Dorry L SegevDepartment of Surgery, Johns Hopkins University School of Medicine.
Douglas B MogulDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Johns Hopkins University · USJohns Hopkins Medicine · USThe Ohio State University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
Project 4-Early Liver Transplantation for Severe Alcoholic Hepatitis: Animal StudiesP50AA027054 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI ANDREW M. CAMERON · 2019 to 2026
$15.1M
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 K08 HS023876NIAAA NIH HHS P50 AA027054NIDDK NIH HHS K01 DK101677NIDDK NIH HHS K24 DK101828NIGMS NIH HHS T32 GM007309
6 · The paper itself

Abstract

backgroundObserved long-term outcomes no longer reflect the survival trajectory facing pediatric liver transplant (LT) recipients today. We aimed to use national registry data and parametric models to project 20- and 30-year post-transplant outcomes for recently transplanted pediatric LT recipients.

methodsWe conducted a retrospective cohort study of 13,442 first-time pediatric (age <18) LT recipients using 1987 to 2018 Scientific Registry of Transplant Recipients data. We validated the proposed method (ie, to project long-term patient and graft survival using parametric survival models and short-term data) in 2 historic cohorts (1987-1996 and 1997-2006) and estimated long-term projections among patients transplanted between 2007 and 2018. Projections were stratified by raft type, recipient age, and indication for transplant.

resultsParsimonious parametric models with Weibull distribution can be applied to post-transplant data and used to project long-term outcomes for pediatric LT recipients beyond observed data. Projected 20-year patient survival for pediatric LT recipients transplanted in 2007 to 2018 was 84.0% (95% confidence interval 81.5-85.8), compared to observed 20-year survival of 72.8% and 63.6% among those transplanted in 1997 to 2006 and 1987 to 1996, respectively. Projected 30-year survival for pediatric LT recipients in 2007 to 2018 was 80.1% (75.2-82.7), compared to projected 30-year survival of 68.6% (66.1-70.9) in the 1997 to 2006 cohort and observed 30-year survival of 57.5% in the 1987 to 1996 cohort. Twenty- and 30-year patient and graft survival varied slightly by recipient age, graft type, and indication for transplant.

conclusionsProjected long-term outcomes for recently transplanted pediatric LT recipients are excellent, reflective of substantial improvements in medical care, and informative for physician-patient education and decision making in the current era.

Indexed as

Liver TransplantationChildGraft SurvivalHumansRegistriesRetrospective StudiesTransplant RecipientsTreatment OutcomeUnited States

Identifiers

PMID31880667
PMCPMC8573715
OpenAlexW2997940661

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.