Evidence map›Paper›PMID 40014329›Full record

ArticleJAMA oncology2025

Academic Community Partnership in Acute Promyelocytic Leukemia and Early Mortality: The ECOG-ACRIN EA9131 Trial.

Anand P Jillella, Sandra J Lee, Jessica K Altman, Selina M Luger, Martin S Tallman, James M Foran, Danielle Bradshaw, Lisa Y Law, Locke J Bryan, Abdallah Abou Zahr and 10 more

Registry-linked trialAbstract read
In one paragraph

Article in JAMA oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03253848 (A Simplified Patient Care Strategy to Decrease Early Deaths in Acute Promyelocytic Leukemia), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT03253848 naactive not recruitingnot on this map

A Simplified Patient Care Strategy to Decrease Early Deaths in Acute Promyelocytic Leukemia (APL)

TypeinterventionalSponsorECOG-ACRIN Cancer Research GroupRan2017 to 2027Enrolled202ConditionsAcute Promyelocytic Leukemia With PML-RARA, t(15, 17)ArmsSimplified Patient Care Strategy, Laboratory Biomarker Analysis
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Predictors of Early Death in Acute Promyelocytic Leukemia.Medical sciences (Basel, Switzerland) · 2025
    Review
  6. 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

20 authors.

Anand P JillellaDivision of Hematology and Oncology, Georgia Cancer Center, Augusta University, Augusta, Georgia.
Sandra J LeeDana-Farber Cancer Institute, Boston, Massachusetts.
Jessica K AltmanRobert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Selina M LugerAbramson Cancer Center, University of Pennsylvania School of Medicine, Philadelphia.
Martin S TallmanRobert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
James M ForanMayo Clinic Comprehensive Cancer Center, Jacksonville, Florida.
Danielle BradshawDivision of Hematology and Oncology, Georgia Cancer Center, Augusta University, Augusta, Georgia.
Lisa Y LawRoseville Medical Center, Roseville, California.
Locke J BryanDivision of Hematology and Oncology, Georgia Cancer Center, Augusta University, Augusta, Georgia.
Abdallah Abou ZahrSanford Roger Maris Cancer Center, Fargo, North Dakota.
Kebede H BegnaMayo Clinic Comprehensive Cancer Center, Jacksonville, Florida.
Alexander E PerlAbramson Cancer Center, University of Pennsylvania School of Medicine, Philadelphia.
Joseph J L VadakaraGeisinger Medical Center, Danville, Pennsylvania.
Rubina QamarAdvocate Aurora Health Care, Milwaukee, Wisconsin.
Raymond C BerganFred and Pamela Buffett Cancer Center, University of Nebraska, Omaha.
Michael J FischDepartment of General Oncology, The University of Texas MD Anderson Cancer Center, Houston.
Ruth C CarlosDepartment of Radiology, University of Michigan, Ann Arbor.
Lynne I WagnerDepartment of Health Policy and Management, University of North Carolina at Chapel Hill.
Vamsi K KotaDivision of Hematology and Oncology, Georgia Cancer Center, Augusta University, Augusta, Georgia.
Mark R LitzowMayo Clinic Comprehensive Cancer Center, Jacksonville, Florida.

Funding

ECOG-ACRIN NCORP Research Base - TMISTUG1CA189828 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$199.7M
NCI, National Clinical Trials Network Lead Academic Participating Site (LAPS) UG1 (funded extension)UG1CA232760 · NCI · MAYO CLINIC ROCHESTER · PI Judy Caroline Boughey, Aaron Scott Mansfield · 2019 to 2026
$8.5M
NCI NIH HHS UG1 CA189828NCI NIH HHS UG1 CA232760
6 · The paper itself

Abstract

Importance: Acute promyelocytic leukemia (APL) is an acute illness that presents with cytopenia, infections, and disseminated intravascular coagulation. Achieving remission has been shown to make a major difference in patient outcomes; however, early death rates in the first month have been as high as 30% due to acute presentation, comorbidities, the rarity of APL, and clinician inexperience. Objective: To develop treatment strategies that would decrease estimated 1-month mortality from 30% to below 15%. Design, Setting, and Participants: In this nonrandomized clinical trial, a treatment algorithm that focused on supportive care was used to prevent early death in patients with APL treated at academic and community health centers between August 2017 and July 2021. Because of the rarity of the disease, expert support was available 24/7 from 7 designated APL experts at 6 participating academic lead centers, and included an additional 293 community centers. When a patient presented with APL, an expert was contacted and a consensus treatment plan was developed using the algorithm and expert suggestions. There were no exclusion criteria and all patients with a confirmed diagnosis of APL regardless of age or comorbid conditions were enrolled. Expert support was provided throughout induction. Initial data analysis was conducted May 2023. Main Outcomes and Measures: One-month mortality; additional objectives were to compare outcomes in academic and community centers and assess 1-year and overall survival. Results: A total of 201 patients were enrolled from 43 centers; 62 at lead centers and 139 from 37 community centers. The median age was 53 years (range, 18-91 years), with 72 patients (35.8%) who were aged 60 years or older; 105 patients (52.2%) were male. Fifty-two patients (26.4%) were diagnosed with high-risk APL. The 1-month mortality rate was 6 deaths of 201 patients (3.0%; 95% CI, 1.1%-6.4%) after adjusting for 1 interim analysis. In a secondary analysis using the Kaplan-Meier method, the 1-month overall survival (OS) rate was 97.0% (95% CI, 93.5%-98.6%) and the 1-year OS rate was 94.5% (95% CI, 90.3%-96.9%). Conclusions and Relevance: In this nonrandomized clinical trial, use of an algorithm combined with expert support resulted in a dramatic decrease in early death in academic and community centers. Population-wide survival improved in this highly curable disease, which suggests that implementing an accessible support system with APL experts for comanagement is the most logical next step. Trial Registration: ClinicalTrials.gov Identifier: NCT03253848.

Identifiers

PMID40014329
PMCPMC11869096

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Registered trials

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.