Evidence map›Paper›PMID 36929662›Full record

ArticleClinical transplantation2023

Center expansion of liver transplants using donation after circulatory death organs is associated with reduced overall waitlist mortality.

Ranganath G Kathawate, Peter L Abt, Therese Bittermann

Abstract read
In one paragraph

Article in Clinical transplantation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ranganath G KathawateDepartment of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0002-5090-5188
Peter L AbtDepartment of Surgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Therese BittermannDepartment of Medicine, Division of Gastroenterology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Funding

Impact of immunosuppression variability on outcomes after liver transplantationK08DK117013 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BITTERMANN, THERESE · 2018 to 2022
$932k
NIDDK NIH HHS K08 DK117013
6 · The paper itself

Abstract

introductionWaitlist outcomes in liver transplantation (LT) for individual recipients are improved by use of allografts procured through donation after circulatory death (DCD). However, the impact of increased DCD acceptance on overall center outcomes is unknown.

methodsUsing the United Network for Organ Sharing database, 88 centers performing an average of ≥10 LTs/year between 1/2004 and 12/2019 were compared by percent DCD use quartile and categorized into four phenotypes according to temporal usage trends. Overall center median Model for End-stage Liver Disease at LT (MMaT), waitlist mortality, and waiting time were evaluated.

resultsThe overall DCD rate was 6.1% (N = 4906/80,709), ranging from 0% to 25.5%. Centers in the top DCD use quartile had lower MMaT (24 vs. 26; p < .001) and shorter overall waiting times (median 66 days vs. 90 days; p < .001) compared to bottom quartile centers. MMaT increased less over time at centers with increasing DCD use and was lower than at centers with declining DCD use (27 vs. 32; p = .017). Overall waitlist mortality between 2016 and 2019 was lower at increasing DCD use centers (17.8% vs. 22.5%, p = .034), yet did not affect 1-year mortality (p = .747).

conclusionsThe improved waitlist outcomes at centers with expanded DCD use extend beyond DCD recipients alone without negative consequences to overall post-LT center metrics.

Indexed as

End Stage Liver DiseaseLiver TransplantationTissue and Organ ProcurementDeathGraft SurvivalHumansRetrospective StudiesSeverity of Illness IndexTissue DonorsWaiting Listsdonation after circulatory deathdonor service areaUNOSwaitlist

Identifiers

PMID36929662
PMCPMC10272092

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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.