Evidence map›Paper›PMID 34224915›Full record

ArticleTransplantation and cellular therapy2021

Barriers to Access to Hematopoietic Cell Transplantation among Patients with Acute Myeloid Leukemia in Virginia.

Joseph Mock, Christa Meyer, Lih-Wen Mau, Cecilia Nguyen, Puja Arora, Courtney Heron, Rajesh Balkrishnan, Linda Burns, Steven Devine, Karen Ballen

Open access · greenAbstract read
In one paragraph

Article in Transplantation and cellular therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  4. Review
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  7. Article
  8. Access to Transplant Care and Social Determinants of Health.Advances in experimental medicine and biology · 2025
    Review
  9. Can you spare 100 days? The allogeneic hematopoietic cell transplant caregiver requirement from the perspective of social workers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
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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

10 authors at 3 institutions in 1 country.

Joseph MockDivision of Hematology and Oncology, Department of Medicine, University of Virginia, Charlottesville, Virginia. Electronic address: jdm3fv@virginia.edu.
Christa MeyerCenter for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be the Match, Minneapolis, Minnesota.
Lih-Wen MauCenter for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be the Match, Minneapolis, Minnesota.
Cecilia NguyenDivision of Hematology and Oncology, Department of Medicine, University of Virginia, Charlottesville, Virginia.
Puja AroraUH Seidman Cancer Center, University Hospitals, Westlake, Ohio.
Courtney HeronUniversity of Virginia School of Medicine, Charlottesville, Virginia.
Rajesh BalkrishnanCancer Population Health Core, UVA Cancer Center, University of Virginia School of Medicine, Charlottesville, Virginia.
Linda BurnsCenter for International Blood and Marrow Transplant Research, Milwaukee, Wisconsin.
Steven DevineCenter for International Blood and Marrow Transplant Research, National Marrow Donor Program/Be the Match, Minneapolis, Minnesota.
Karen BallenDivision of Hematology and Oncology, Department of Medicine, University of Virginia, Charlottesville, Virginia.
University of Virginia · USNational Marrow Donor Program · USUniversity Hospitals Seidman Cancer Center · US

Funding

Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
Blood and Marrow Transplant Clinical Trials Network DCC- The Medical College of Wisconsin, Inc.U24HL138660 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI Steven M. DeVine, Mehdi Hussain Hamadani · 2017 to 2026
$71.4M
Therapeutic Potential of Adaptive NK Cells in Cancer and TransplantationP01CA111412 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI FELICES, MARTIN · 2005 to 2025
$38.2M
Cure Sickle CellOT3HL147741 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI MARY EAPEN, Mary Maresca Horowitz · 2018 to 2026
$37.7M
Hematopopietic Stem Cell TransplantationU01AI069197 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Effie W Petersdorf · 2005 to 2026
$18.9M
Randomized study of low versus moderate dose busulfan in transplant for severe combined immunodeficiencyU01AI126612 · NIAID · CHILDREN'S HOSPITAL OF LOS ANGELES · PI KEAN, LESLIE S, PULSIPHER, MICHAEL A · 2017 to 2023
$8.5M
Immuno and Epigenetics of Hematopoietic Cell TransplantationR01CA218285 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Effie W Petersdorf · 2017 to 2026
$5.6M
The role of TCOF1 in germline predisposition to and in leukemic transformation of chronic myelomonocytic leukemiaR01CA152108 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Jing Zhang · 2011 to 2026
$5.4M
Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic DataR01AI128775 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JILL Allison HOLLENBACH, STEVEN JOHN MACK · 2017 to 2026
$4.5M
Identifying Predictors of Poor Health-Related Quality-of-life among Pediatric Hematopoietic Stem Cell DonorsR01HL131731 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PULSIPHER, MICHAEL A, SWITZER, GALEN E. · 2018 to 2022
$3.6M
Integrating health informatics in a scalable stepped care self-management program for survivors after hematopoietic cell transplantationR01CA215134 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BAKER, KEVIN S, MAJHAIL, NAVNEET S. · 2017 to 2022
$3.6M
Selection of Allogeneic Hematopoietic Cell Donor Based on KIR and HLA GenotypesR01HL129472 · NHLBI · SLOAN-KETTERING INST CAN RESEARCH · PI HSU, KATHARINE C · 2015 to 2019
$2.6M
NCI NIH HHS P01 CA111412NCI NIH HHS R01 CA152108NCI NIH HHS R01 CA215134NCI NIH HHS R01 CA218285NCI NIH HHS R01 CA231141NCI NIH HHS U24 CA076518NHLBI NIH HHS OT3 HL147741NHLBI NIH HHS R01 HL126589NHLBI NIH HHS R01 HL129472NHLBI NIH HHS R01 HL130388NHLBI NIH HHS R01 HL131731NHLBI NIH HHS U01 HL128568NHLBI NIH HHS U24 HL138660NIAID NIH HHS R01 AI128775NIAID NIH HHS U01 AI069197NIAID NIH HHS U01 AI126612
6 · The paper itself

Abstract

Allogeneic hematopoietic cell transplantation (HCT) is a standard therapy for patients with intermediate to high-risk acute myeloid leukemia (AML) and is associated with improved long-term disease-free survival. Disparity exists in access to HCT among different patient populations and requires further study. In this study, we compared HCT rates for AML among different regions in the state of Virginia and identified geographic and socioeconomic factors associated with the likelihood of receiving HCT. We conducted a retrospective, cohort study of patients 18 to 74 years of age diagnosed with AML in Virginia from 2013 to 2017 as reported to the Virginia Cancer Registry (VCR); the VCR was further linked with the Center for International Blood and Marrow Transplant Research database for identification of patients who had undergone HCT within 2 years of diagnosis. Socioeconomic data were generated from the VCR and the American Community Survey. Univariate and multivariable logistic regression models were used to examine selected socioeconomic factors of interest, including patient-level information such as sex, age, race, marital status, and primary insurance payer, as well as factors associated with geography, including the Social Vulnerability Index (SVI) and percentage of African Americans residing in the region. In Virginia, 818 patients were diagnosed with AML from 2013 to 2017, and, of these, 168 patients (21%) underwent HCT within 2 years of diagnosis. Median age was lower in the HCT cohort (55 years) versus the non-HCT cohort (64 years) (P < .001). There was a higher proportion of married patients in the HCT cohort (67%) versus the non-HCT cohort (53%) (P = .005). The rate of HCT varied by geographic region (P = .004). The multivariable analyses (without including SVI) showed decreased likelihood of HCT with increasing age (odds ratio [OR], .96; 95% confidence interval [CI], .95 to .98). Patients from regions that had a greater than 25% African American population were less likely to undergo HCT (OR, .58; 95% CI, .38 to .89). Patients who were not married were less likely to undergo HCT compared with married patients (OR, .56; 95% CI, .36 to .88). Patients with government-sponsored insurance as the primary payer were less likely to undergo HCT compared with patients with private insurance (OR, .49; 95% CI, .32 to .77). Patients living in Zip Code areas with a greater percentage of population with a bachelor's or graduate degree were more likely to undergo HCT (OR, 1.02; 95% CI, 1.00 to 1.03). In a separate multivariate model with SVI, patients residing in a Zip Code with higher SVI were less likely to undergo HCT (OR, .37; 95% CI, .16 to .82). From 2013 to 2017, we found that the likelihood of a patient undergoing HCT in Virginia for AML within 2 years of diagnosis was negatively associated with increasing age, percent of African Americans residing in the region, not-married relationship status, government-sponsored insurance as primary payer, higher SVI, and decreased percent of population with a bachelor's or graduate degree. Resources should be directed toward at-risk patient populations to remove barriers to improve access to HCT. The SVI can be used to identify communities at risk nationwide.

Indexed as

Hematopoietic Stem Cell TransplantationLeukemia, Myeloid, AcuteChild, PreschoolCohort StudiesHumansMiddle AgedRetrospective StudiesUnited StatesVirginiaCancer registryDisparitiesHematopoietic cell transplantationVirginia

Identifiers

PMID34224915
PMCPMC8986962
OpenAlexW3173709440

What OpenQuestion holds

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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.