Evidence map›Paper›PMID 34174151›Full record

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

Correcting the sex disparity in MELD-Na.

Nicholas L Wood, Douglas VanDerwerken, Dorry L Segev, Sommer E Gentry

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 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Sex differences in chronic liver disease and benign liver lesions.JHEP reports : innovation in hepatology · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Life expectancy without a transplant for status 1A liver transplant candidates.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  18. Sex Disparity in Transplant: A Problem Hiding in Plain Sight.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
    Article
  19. Correcting the sex disparity in access to liver transplantation: Lest perfect be the enemy of better.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Nicholas L WoodDepartment of Mathematics, United States Naval Academy, Annapolis, Maryland, USA.ORCID https://orcid.org/0000-0003-0768-3759
Douglas VanDerwerkenDepartment of Mathematics, United States Naval Academy, Annapolis, Maryland, USA.
Dorry L SegevDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-1924-4801
Sommer E GentryDepartment of Mathematics, United States Naval Academy, Annapolis, Maryland, USA.

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
NIAID NIH HHS K24 AI144954NIDDK NIH HHS K24 DK101828NIDDK NIH HHS R01 DK111233
6 · The paper itself

Abstract

MELD-Na appears to disadvantage women awaiting liver transplant by underestimating their mortality rate. Fixing this problem involves: (1) estimating the magnitude of this disadvantage separately for each MELD-Na, (2) designing a correction for each MELD-Na, and (3) evaluating corrections to MELD-Na using simulated allocation. Using Kaplan-Meier modeling, we calculated 90-day without-transplant survival for men and women, separately at each MELD-Na. For most scores between 15 and 35, without-transplant survival was higher for men by 0-5 percentage points. We tested two proposed corrections to MELD-Na (MELD-Na-MDRD and MELD-GRAIL-Na), and one correction we developed (MELD-Na-Shift) to target the differences we quantified in survival across the MELD-Na spectrum. In terms of without-transplant survival, MELD-Na-MDRD overcorrected sex differences while MELD-GRAIL-Na and MELD-Na-Shift eliminated them. Estimating the impact of implementing these corrections with the liver simulated allocation model, we found that MELD-Na-Shift alone eliminated sex disparity in transplant rates (p = 0.4044) and mortality rates (p = 0.7070); transplant rates and mortality rates were overcorrected by MELD-Na-MDRD (p = 0.0025, p = 0.0006) and MELD-GRAIL-Na (p = 0.0079, p = 0.0005). We designed a corrected MELD-Na that eliminates sex disparities in without-transplant survival, but allocation changes directing smaller livers to shorter candidates may also be needed to equalize women's access to liver transplant.

Indexed as

End Stage Liver DiseaseLiver TransplantationTissue and Organ ProcurementTransplantsFemaleHumansMaleSeverity of Illness IndexSodiumWaiting ListsSodiumclassification systems: Model for Endstage Liver Disease (MELD)disparitiesethics and public policygenderliver transplantation/hepatologymathematical modelorgan procurement and allocationsimulationtranslational research/science

Identifiers

PMID34174151
PMCPMC8500920

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.