Evidence map›Paper›PMID 37856154›Full record

ArticlePediatric blood & cancer2024

Racial and ethnic disparities in acuity of presentation among children with newly diagnosed acute leukemia.

Lena E Winestone, Kelly D Getz, Yimei Li, Evanette Burrows, Michael E Scheurer, Vicky Tam, M Monica Gramatges, Jennifer J Wilkes, Tamara P Miller, Alix E Seif and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Pediatric blood & cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Targeting hardship: poverty as a modifiable risk factor in childhood leukemia and lymphoma treatment.Hematology. American Society of Hematology. Education Program · 2024
    Review
  4. 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

13 authors at 6 institutions in 1 country.

Lena E WinestoneDivision of Allergy, Immunology, and BMT, University of California San Francisco (UCSF) Benioff Children's Hospital, San Francisco, California, USA.ORCID https://orcid.org/0000-0001-9982-1594
Kelly D GetzDepartments of Biostatistics, Epidemiology, & Informatics and Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-2020-5153
Yimei LiDepartments of Biostatistics, Epidemiology, & Informatics and Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Evanette BurrowsDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Michael E ScheurerDepartment of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.
Vicky TamDepartment of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
M Monica GramatgesDepartment of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.
Jennifer J WilkesDepartment of Pediatrics, Division of Hematology/Oncology, University of Washington School of Medicine, Seattle Children's Hospital, Seattle, Washington, USA.
Tamara P MillerDivision of Hematology/Oncology, Emory University, Atlanta, Georgia, USA.ORCID https://orcid.org/0000-0003-4250-5376
Alix E SeifDivision of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-1799-2582
Karen R RabinDepartment of Pediatrics, Division of Hematology-Oncology, Baylor College of Medicine, Texas Children's Hospital, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-4081-8195
Brian T FisherDivision of Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-8224-4281
Richard AplencDivision of Oncology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Children's Hospital of Philadelphia · USBaylor College of Medicine · USEmory University · USSeattle Children's Hospital · USUniversity of California, San Francisco · USUniversity of Pennsylvania · US

Funding

Pediatric Hospital Epidemiology and Outcomes Research Training ProgramT32HD060550 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI Christopher Peter Bonafide, John Chris Feudtner · 2010 to 2026
$6.8M
Alex's Lemonade Stand Foundation for Childhood CancerAmerican Cancer Society CSDG-21-093-01-HOPSAmerican Society of HematologyNICHD NIH HHS T32 HD060550
6 · The paper itself

Abstract

We evaluated disparities in disease burden, organ dysfunction, vital signs, and timing of therapy in children newly presenting with acute leukemia. Among 899 patients with acute leukemia diagnosed at two large children's hospitals, a priori lab-based definitions of high disease burden, infection risk, renal dysfunction, and coagulopathy were applied to electronic health record data. Black patients with acute myeloid leukemia had increased prevalence of elevated white blood cell count and uric acid; Black patients with acute lymphoblastic leukemia demonstrated increased prevalence of coagulopathy. Black patients' presentation more frequently included multiple lab abnormalities consistent with advanced physiologic dysfunction. No differences were found in days to therapy initiation.

Indexed as

Leukemia, Myeloid, AcutePrecursor Cell Lymphoblastic Leukemia-LymphomaChildHealthcare DisparitiesHospitals, PediatricHumansRacial Groupsdiagnosisdisparitiespediatric leukemiarace

Identifiers

PMID37856154
PMCPMC11905159
OpenAlexW4387764971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.