Evidence map›Paper›PMID 33870635›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2021

MELD is MELD is MELD? Transplant center-level variation in waitlist mortality for candidates with the same biological MELD.

Tanveen Ishaque, Amber B Kernodle, Jennifer D Motter, Kyle R Jackson, Teresa P Chiang, Samantha Getsin, Brian J Boyarsky, Jacqueline Garonzik-Wang, Sommer E Gentry, Dorry L Segev and 1 more

Abstract 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, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Tanveen IshaqueDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-3523-243X
Amber B KernodleDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-6459-5280
Jennifer D MotterDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-1750-0119
Kyle R JacksonDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-8135-5377
Teresa P ChiangDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Samantha GetsinDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-8797-6484
Brian J BoyarskyDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-6902-9854
Jacqueline Garonzik-WangDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sommer E GentryDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Dorry L SegevDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-1924-4801
Allan B MassieDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-5288-5125

Funding

Clinical and Laboratory Research Training for Gastrointestinal SurgeonsT32DK007713 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI DAVID J HACKAM · 1996 to 2026
$5.2M
Quantifying Risk And Survival Benefit from Incompatible Kidney TransplantationR01DK098431 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SEGEV, DORRY L. · 2013 to 2017
$3.7M
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 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
Aggressive Center Report Cards to Safely Increase Transplantation of Suboptimal KidneysK23DK115908 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GARONZIK WANG, JACQUELINE M · 2018 to 2021
$516k
The effect of socioeconomic status and environment characteristics on disparate postdonation health outcomes between Black and White living kidney donorsF32DK117563 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI KERNODLE, AMBER · 2018 to 2020
$240k
Differential Survival Benefit of Incompatible Living Donor Kidney Transplantation: Modeling Outcomes for Different Patient PhenotypesF32DK113719 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI JACKSON, KYLE R · 2017 to 2019
$238k
NIDDK NIH HHS F32 DK113719NIDDK NIH HHS F32DK113719NIDDK NIH HHS F32 DK117563NIDDK NIH HHS F32DK117563NIDDK NIH HHS K01 DK101677NIDDK NIH HHS K01DK101677NIDDK NIH HHS K23 DK115908NIDDK NIH HHS K23DK115908NIDDK NIH HHS K24 DK101828NIDDK NIH HHS K24DK101828NIDDK NIH HHS R01 DK098431NIDDK NIH HHS R01 DK111233NIDDK NIH HHS R01DK111233NIDDK NIH HHS R01DK98431NIDDK NIH HHS T32 DK007713NIDDK NIH HHS T32DK007713
6 · The paper itself

Abstract

Recently, model for end-stage liver disease (MELD)-based liver allocation in the United States has been questioned based on concerns that waitlist mortality for a given biologic MELD (bMELD), calculated using laboratory values alone, might be higher at certain centers in certain locations across the country. Therefore, we aimed to quantify the center-level variation in bMELD-predicted mortality risk. Using Scientific Registry of Transplant Recipients (SRTR) data from January 2015 to December 2019, we modeled mortality risk in 33 260 adult, first-time waitlisted candidates from 120 centers using multilevel Poisson regression, adjusting for sex, and time-varying age and bMELD. We calculated a "MELD correction factor" using each center's random intercept and bMELD coefficient. A MELD correction factor of +1 means that center's candidates have a higher-than-average bMELD-predicted mortality risk equivalent to 1 bMELD point. We found that the "MELD correction factor" median (IQR) was 0.03 (-0.47, 0.52), indicating almost no center-level variation. The number of centers with "MELD correction factors" within ±0.5 points, and between ±0.5-± 1, ±1.0-±1.5, and ±1.5-±2.0 points was 62, 41, 13, and 4, respectively. No centers had waitlisted candidates with a higher-than-average bMELD-predicted mortality risk beyond ±2 bMELD points. Given that bMELD similarly predicts waitlist mortality at centers across the country, our results support continued MELD-based prioritization of waitlisted candidates irrespective of center.

Indexed as

End Stage Liver DiseaseLiver TransplantationTissue and Organ ProcurementHumansSeverity of Illness IndexWaiting Listsdonors and donation: deceasedethics and public policyhealth services and outcomes researchliver transplantation/hepatologyorgan allocationorgan procurement and allocationOrgan Procurement and Transplantation Network (OPTN)organ procurement organizationorgan transplantation in generalwaitlist management

Identifiers

PMID33870635
PMCPMC11537497

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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.