Evidence map›Paper›PMID 32515544›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2020

Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study.

Allan B Massie, Brian J Boyarsky, William A Werbel, Sunjae Bae, Eric K H Chow, Robin K Avery, Christine M Durand, Niraj Desai, Daniel Brennan, Jacqueline M Garonzik-Wang and 1 more

Abstract readMulticenter Study
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Changes in the epidemiology of kidney replacement therapy across Europe in 2020-the first year of the COVID-19 pandemic: an ERA Registry study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
  5. Article
  6. Kidney transplantation during mass disasters - from COVID-19 to other catastrophes A Consensus Statement by the DESCARTES Working Group and Ethics Committee of the ERA.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Impact of COVID-19 on living donor liver and kidney transplantation programs in Japan in 2020.Transplant infectious disease : an official journal of the Transplantation Society · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Artificial intelligence and kidney transplantation.World journal of transplantation · 2021
    Review
  18. Article
  19. Inpatient COVID-19 outcomes in solid organ transplant recipients compared to non-solid organ transplant patients: A retrospective cohort.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
    Article
  20. Practicing With Uncertainty: Kidney Transplantation During the COVID-19 Pandemic.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Allan B MassieDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-5288-5125
Brian J BoyarskyDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-6902-9854
William A WerbelDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-2943-5895
Sunjae BaeDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-0098-8816
Eric K H ChowChicago Medical School, Rosalind Franklin University of Medicine and Science, Chicago, Illinois, USA.
Robin K AveryDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-7692-3619
Christine M DurandDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-2605-9257
Niraj DesaiDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Daniel BrennanDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jacqueline M Garonzik-WangDepartment 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 0000-0003-3205-1024

Funding

RESEARCH TRAINING IN MICROBIAL DISEASEST32AI007291 · NIAID · JOHNS HOPKINS UNIVERSITY · PI JOEL N BLANKSON, Sara Elizabeth Cosgrove · 1986 to 2026
$9.1M
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
Aggressive Center Report Cards to Safely Increase Transplantation of Suboptimal KidneysK23DK115908 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GARONZIK WANG, JACQUELINE M · 2018 to 2021
$516k
NIAID NIH HHS T32 AI007291NIDDK NIH HHS K01 DK101677NIDDK NIH HHS K01DK101677NIDDK NIH HHS K23 DK115908NIDDK NIH HHS K23DK115908NIDDK NIH HHS K24 DK101828NIDDK NIH HHS K24DK101828
6 · The paper itself

Abstract

Clinical decision-making in kidney transplant (KT) during the coronavirus disease 2019 (COVID-19) pandemic is understandably a conundrum: both candidates and recipients may face increased acquisition risks and case fatality rates (CFRs). Given our poor understanding of these risks, many centers have paused or reduced KT activity, yet data to inform such decisions are lacking. To quantify the benefit/harm of KT in this context, we conducted a simulation study of immediate-KT vs delay-until-after-pandemic for different patient phenotypes under a variety of potential COVID-19 scenarios. A calculator was implemented (http://www.transplantmodels.com/covid_sim), and machine learning approaches were used to evaluate the important aspects of our modeling. Characteristics of the pandemic (acquisition risk, CFR) and length of delay (length of pandemic, waitlist priority when modeling deceased donor KT) had greatest influence on benefit/harm. In most scenarios of COVID-19 dynamics and patient characteristics, immediate KT provided survival benefit; KT only began showing evidence of harm in scenarios where CFRs were substantially higher for KT recipients (eg, ≥50% fatality) than for waitlist registrants. Our simulations suggest that KT could be beneficial in many centers if local resources allow, and our calculator can help identify patients who would benefit most. Furthermore, as the pandemic evolves, our calculator can update these predictions.

Indexed as

Kidney TransplantationMachine LearningPandemicsSARS-CoV-2AdolescentAdultAgedChildChild, PreschoolCOVID-19FemaleHumansInfantInfant, NewbornKidney Failure, ChronicMaleclinical research/practiceinfection and infectious agentskidney transplantation/nephrologyScientific Registry for Transplant Recipients (SRTR)

Identifiers

PMID32515544
PMCPMC7300693

What OpenQuestion holds

Textmetadata
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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.