Evidence map›Paper›PMID 35980163›Full record

ArticleJournal of the National Cancer Institute2022

Social Vulnerability and Risk of Nonrelapse Mortality After Allogeneic Hematopoietic Cell Transplantation.

Rusha Bhandari, Jennifer Berano Teh, Tianhui He, Ryotaro Nakamura, Andrew S Artz, Marta M Jankowska, Stephen J Forman, F Lennie Wong, Saro H Armenian

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Access to Transplant Care and Social Determinants of Health.Advances in experimental medicine and biology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

9 authors at 2 institutions in 1 country.

Rusha BhandariDepartment of Pediatrics, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Jennifer Berano TehDepartment of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Tianhui HeDepartment of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Ryotaro NakamuraDepartment of Hematology & Hematopoietic Cell Transplantation, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Andrew S ArtzDepartment of Hematology & Hematopoietic Cell Transplantation, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.ORCID 0000-0003-0803-9607
Marta M JankowskaDepartment of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Stephen J FormanDepartment of Hematology & Hematopoietic Cell Transplantation, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
F Lennie WongDepartment of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.
Saro H ArmenianDepartment of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.ORCID 0000-0003-2604-8603
City of Hope · USChildren's Hospital of Los Angeles · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
Oncology Research Career Development ProgramK12CA001727 · NCI · CITY OF HOPE NATIONAL MEDICAL CENTER · PI MORTIMER, JOANNE E. · 1992 to 2024
$14.6M
NCI NIH HHS K12 CA001727NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

backgroundRisk of nonrelapse mortality (NRM) after hematopoietic cell transplantation (HCT) is high. Patient-level clinical prediction models such as the HCT-comorbidity index (HCT-CI) help identify those at increased risk for NRM, but the independent contribution of social determinants of health on HCT outcomes is not well characterized.

methodsThis study included 1602 patients who underwent allogeneic HCT between 2013 and 2019 at City of Hope. Census tract-level social vulnerability was measured using the social vulnerability index (SVI). Fine-Gray multivariable regression evaluated the association between SVI and 1-year NRM. Subgroup analysis examined risk of NRM across combined SVI and HCT-CI categories and by race and ethnicity.

resultsCumulative incidence of 1-year NRM after HCT was 15.3% (95% confidence interval [CI] = 13.6% to 17.1%). In multivariable analysis, patients in the highest SVI tertile (highest social vulnerability) had a 1.4-fold risk (subdistribution hazard ratio [sHR] = 1.36, 95% CI = 1.04 to 1.78) of NRM compared with individuals in the lower tertiles; patients in the highest SVI tertile who also had elevated (≥3) HCT-CI scores had the highest risk (sHR = 1.81, 95% CI = 1.26 to 2.58) of 1-year NRM (reference: lower SVI tertiles and HCT-CI < 3). High social vulnerability was associated with risk of 1-year NRM in Asian (sHR = 2.03, 95% CI = 1.09 to 3.78) and Hispanic (sHR = 1.63, 95% CI = 1.04 to 2.55) but not non-Hispanic White patients.

conclusionsHigh social vulnerability independently associated with 1-year NRM after HCT, specifically among minority populations and those with a high comorbidity burden at HCT. These findings may inform targeted approaches for needs assessment during and after HCT, allowing for timely interventions to improve health outcomes in at-risk patients.

Indexed as

Hematopoietic Stem Cell TransplantationSocial VulnerabilityComorbidityHumansProportional Hazards ModelsRetrospective StudiesTransplantation, Homologous

Identifiers

PMID35980163
PMCPMC9664181
OpenAlexW4292230244

What OpenQuestion holds

Textmetadata
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.