Evidence map›Paper›PMID 34161608›Full record

ArticleCancer2021

Individual prediction of nonadherence to oral mercaptopurine in children with acute lymphoblastic leukemia: Results from COG AALL03N1.

Anna L Hoppmann, Yanjun Chen, Wendy Landier, Lindsey Hageman, William E Evans, F Lennie Wong, Mary V Relling, Smita Bhatia

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  7. Observational
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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

8 authors at 3 institutions in 1 country.

Anna L HoppmannInstitute for Cancer Outcomes and Survivorship, Division of Pediatric Hematology and Oncology, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0001-5878-5523
Yanjun ChenInstitute for Cancer Outcomes and Survivorship, Division of Pediatric Hematology and Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Wendy LandierInstitute for Cancer Outcomes and Survivorship, Division of Pediatric Hematology and Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
Lindsey HagemanInstitute for Cancer Outcomes and Survivorship, Division of Pediatric Hematology and Oncology, University of Alabama at Birmingham, Birmingham, Alabama.
William E EvansSt. Jude Children's Research Hospital, Memphis, Tennessee.
F Lennie WongCity of Hope, Duarte, California.
Mary V RellingSt. Jude Children's Research Hospital, Memphis, Tennessee.
Smita BhatiaInstitute for Cancer Outcomes and Survivorship, Division of Pediatric Hematology and Oncology, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-7755-5683
University of Alabama at Birmingham · USSt. Jude Children's Research Hospital · USCity of Hope · US

Funding

NCTN BIQSFP ANBL1531 (NRT)U10CA180886 · NCI · PUBLIC HEALTH INSTITUTE · PI Douglas S. Hawkins · 2014 to 2026
$390.6M
COG FOREIGN ACCRUALU10CA098543 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI ADAMSON, PETER C. · 2003 to 2013
$335.5M
Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
COG SDMC - Statistics CoreU10CA180899 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TODD A ALONZO · 2014 to 2026
$132.8M
ZOPOLRESTAT IN NORMOTENSIVE, TYPE 1 DIA WITH INCIPIENT NEPHROPATHYM01RR000043 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZAIA, JOHN A · 1985 to 2010
$76.4M
Children's Oncology Group Statistics &Data Center GrantU10CA098413 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI DEVIDAS, MEENAKSHI · 2003 to 2013
$67.5M
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
Community Clinical Oncology Program Research BaseU10CA095861 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI POLLOCK, BRAD H · 2002 to 2013
$19.5M
PHARMACOGENOMICS OF CHILDHOOD LEUKEMIA (ALL)R37CA036401 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI EVANS, WILLIAM E · 1987 to 2014
$9.7M
PAARK4Kids-Pharmacogenomics of Anticancer Agents Research in ChildrenU01GM092666 · NIGMS · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI RELLING, MARY V · 2010 to 2014
$8.9M
UAB Cancer Prevention and Control Training Program (T32)T32CA047888 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Ritu Aneja, Ellen Mary Lavoie Smith · 2018 to 2026
$3.2M
Ethnic Differences in Survival after Childhood ALLR01CA096670 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI BHATIA, SMITA · 2004 to 2009
$2.7M
American Lebanese Syrian Associated CharitiesNational Institutes of Health, National Cancer Institute CA 156449National Institutes of Health, National Cancer Institute CA 21765National Institutes of Health, National Cancer Institute GM 92666National Institutes of Health, National Cancer Institute M01-RR00043National Institutes of Health, National Cancer Institute R37 CA36401National Institutes of Health, National Cancer Institute T32CA047888National Institutes of Health, National Cancer Institute U10CA095861National Institutes of Health, National Cancer Institute U10CA098413National Institutes of Health, National Cancer Institute U10CA180886National Institutes of Health, National Cancer Institute U10CA180899National Institutes of Health, National Cancer Institute UG1CA189955NCI NIH HHS P30 CA021765NCI NIH HHS R01 CA096670NCI NIH HHS R37 CA036401NCI NIH HHS RC4 CA156449NCI NIH HHS T32 CA047888NCI NIH HHS U10 CA095861NCI NIH HHS U10 CA098413NCI NIH HHS U10 CA098543NCI NIH HHS U10 CA180886NCI NIH HHS U10 CA180899NCI NIH HHS UG1 CA189955NCRR NIH HHS M01 RR000043NIGMS NIH HHS U01 GM092666St. Baldrick's Foundation
6 · The paper itself

Abstract

backgroundPoor mercaptopurine (6MP) adherence (mean adherence rate < 90%) increases the relapse risk among children with acute lymphoblastic leukemia (ALL). 6MP adherence remains difficult to measure in real time. Easily measured patient-level factors could identify patients at risk for poor adherence.

methodsThe authors measured 6MP adherence via electronic monitoring for 6 months per patient. Using data from month 3, they created a risk prediction model for 6MP nonadherence in 407 children with ALL (mean age, 7.7 ± 4.4 years); they used receiver operating characteristic analyses in the training set (n = 250) and replicated this in the test set (n = 157).

resultsAge, race/ethnicity, 6MP dose intensity, absolute neutrophil count, 6MP ingestion patterns, and household structure were retained in the prediction model. The model yielded areas under the receiver operating characteristic curve (AUCs) of 0.79 (95% confidence interval [CI], 0.71-0.85) and 0.74 (95% CI, 0.63-0.85) in the training and test sets, respectively. The model performed better for those who were ≥12 years old (AUC, 0.79; 95% CI, 0.59-0.99) than those <12 years old (AUC, 0.70; 95% CI, 0.58-0.81). Using the predicted probability of nonadherence based on receiver operating characteristic analysis, the authors developed a binary risk classifier to classify patients with a high or low probability of nonadherence. The sensitivity and specificity of the binary risk classifier were 71% and 76%, respectively. Adjusted for clinical prognosticators, the risk of relapse was 2.2-fold higher (95% CI, 0.94-5.1; P = .07) among patients with a high probability of nonadherence in comparison with those with a low probability, as identified by the risk prediction model.

conclusionsThe risk prediction model identified patients with a high probability of nonadherence and could be used in real time to personalize recommendations and interventions in the clinic. LAY SUMMARY: The vast majority of children with acute lymphoblastic leukemia, the most common childhood cancer, are cured. The treatment of acute lymphoblastic leukemia includes taking an oral chemotherapy medicine (mercaptopurine) for approximately 2 years. Children who miss doses of this medicine (specifically children who take the medicine less than 90% of the time that it is prescribed) are more likely to suffer leukemia relapse. The authors of this article have measured mercaptopurine adherence with electronic bottle caps to determine characteristics of patients that predict nonadherence, and they have created a prediction tool that could allow physicians to identify and intervene with patients at high risk of nonadherence.

Indexed as

MercaptopurinePrecursor Cell Lymphoblastic Leukemia-LymphomaAdministration, OralArea Under CurveChildChild, PreschoolHumansRecurrenceMercaptopurineacute lymphoblastic leukemiaadolescentchildmedication adherencemercaptopurine

Identifiers

PMID34161608
PMCPMC8478829
OpenAlexW3175901592

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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.