Evidence map›Paper›PMID 39190431›Full record

ArticleBlood2024

Antimetabolite dose intensity and adverse outcomes in children with acute lymphoblastic leukemia: a COG-AALL03N1 report.

Aman Wadhwa, Yanjun Chen, Lindsey Hageman, Anne Angiolillo, David S Dickens, Joseph P Neglia, Yaddanapudi Ravindranath, Amanda Termuhlen, F Lennie Wong, Wendy Landier and 1 more

Abstract read
In one paragraph

Article in Blood, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Aman WadhwaInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL.ORCID 0000-0002-3245-2218
Yanjun ChenInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL.
Lindsey HagemanInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL.
Anne AngiolilloServier Pharmaceuticals, Boston, MA.
David S DickensDivision of Pediatric Hematology/Oncology, University of Iowa, Iowa City, IA.ORCID 0000-0001-8821-6022
Joseph P NegliaDepartment of Pediatrics, University of Minnesota Medical School, Minneapolis, MN.ORCID 0000-0002-5525-0598
Yaddanapudi RavindranathWayne State University/Children's Hospital of Michigan, Detroit, MI.
Amanda TermuhlenDepartment of Pediatrics, University of Minnesota Medical School, Minneapolis, MN.
F Lennie WongDepartment of Population Sciences, City of Hope, Duarte, CA.
Wendy LandierInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL.ORCID 0000-0003-3319-5652
Smita BhatiaInstitute for Cancer Outcomes and Survivorship, University of Alabama at Birmingham, Birmingham, AL.ORCID 0000-0002-7755-5683

Funding

NCTN BIQSFP ANBL1531 (NRT)U10CA180886 · NCI · PUBLIC HEALTH INSTITUTE · PI Douglas S. Hawkins · 2014 to 2026
$390.6M
COG SDMC - Statistics CoreU10CA180899 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TODD A ALONZO · 2014 to 2026
$132.8M
Towards a preventive cancer vaccine for children with constitutional mismatch repair deficiencyUG1CA189955 · NCI · PUBLIC HEALTH INSTITUTE · PI BRAD H POLLOCK, Michael E. Roth · 2014 to 2026
$62.5M
Ethnic Differences in Survival after Childhood ALLR01CA096670 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI BHATIA, SMITA · 2004 to 2009
$2.7M
NCI NIH HHS R01 CA096670NCI NIH HHS U10 CA180886NCI NIH HHS U10 CA180899NCI NIH HHS UG1 CA189955
6 · The paper itself

Abstract

abstractThe association between antimetabolite dose intensity (DI) and adverse events among children receiving maintenance therapy for acute lymphoblastic leukemia (ALL) remains unclear, especially in the context of antimetabolite adherence. Using Children's Oncology Group AALL03N1 data, we examined the association between high DI during the first 4 study months and (i) treatment-related toxicities during the subsequent 2 study months; and (ii) relapse risk. Patients were classified into a high DI phenotype (either 6-mercaptopurine [6-MP] or methotrexate [MTX] DI ≥110% during the first 4 study months, or 6-MPDI or MTXDI 100%-110% at study enrollment and ≥25% increase over the 4 study months) and normal DI phenotype (all others). Only patients with wild-type TPMT and NUDT15 were included. 6-MP adherence data were available for 63.7% of study participants and used to stratify as adherent (median adherence ≥85%) and nonadherent (median adherence <85%) participants. Multivariable analyses were adjusted for sociodemographic and clinical prognosticators. Of the 644 patients, 29.3% were exposed to high DI. High DI was associated with a 2.1-fold greater odds of hematologic toxicity (95% confidence interval [CI] = 1.4-3.1; reference: normal DI) in the entire cohort and 2.9-fold higher among adherers (95% CI = 1.6-5.1); odds were comparable among nonadherers (2.1-fold; 95% CI = 0.4-10.1). Although high DI was not associated with relapse in the entire cohort (adjusted hazard ratio [aHR] = 1.4; 95% CI = 0.8-2.4), it was associated with a greater hazard of relapse among adherent participants (aHR = 2.4; 95% CI = 1.0-5.5) but not among nonadherent participants (aHR = 0.9; 95% CI = 0.2-3.8). Dose escalation above protocol doses during maintenance therapy for ALL should be done cautiously after assessing adherence to prescribed therapy.

Indexed as

Antimetabolites, AntineoplasticMercaptopurineMethotrexatePrecursor Cell Lymphoblastic Leukemia-LymphomaAdolescentChildChild, PreschoolDrug MonitoringFemaleHumansInfantMaleAntimetabolites, AntineoplasticMercaptopurineMethotrexate

Identifiers

PMID39190431
PMCPMC11619787

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.