Evidence map›Paper›PMID 39417014›Full record

ArticleClinical hematology international2024

Determinants of Outcomes for Acute Myeloid Leukemia Patients Treated in a Community-Based Specialized Versus Non-Specialized Hospital Setting.

Minoo Battiwalla, Ju-Hsien Chao, Tonya Cox, Jose Carlos Cruz, William B Donnellan, Alireza Eghtedar, Suman Kambhampati, Shahbaz Malik, Michael B Maris, Marcello Rotta and 9 more

Abstract read
In one paragraph

Article in Clinical hematology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

19 authors.

Minoo BattiwallaSarah Cannon Blood Cancer Network.ORCID https://orcid.org/0000-0001-6440-1899
Ju-Hsien ChaoSarah Cannon Blood Cancer Network.
Tonya CoxSarah Cannon Blood Cancer Network.
Jose Carlos CruzSarah Cannon Blood Cancer Network.
William B DonnellanSarah Cannon Blood Cancer Network.
Alireza EghtedarSarah Cannon Blood Cancer Network.
Suman KambhampatiSarah Cannon Blood Cancer Network.
Shahbaz MalikSarah Cannon Blood Cancer Network.
Michael B MarisSarah Cannon Blood Cancer Network.
Marcello RottaSarah Cannon Blood Cancer Network.
Frank T SlovickSarah Cannon Blood Cancer Network.
Aravind RamakrishnanSarah Cannon Blood Cancer Network.
Vikas BhushanSarah Cannon Blood Cancer Network.
Lindsay SearsHealthcare Corporations of America Research Institute.
Casey MartinHealthcare Corporations of America Research Institute.
Jared HolderHealthcare Corporations of America Research Institute.
Angela JunglenHealthcare Corporations of America Research Institute.
Navneet MajhailSarah Cannon Blood Cancer Network.
Charles F LeMaistreSarah Cannon Blood Cancer Network.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment setting influences acute myeloid leukemia (AML) outcomes. Most cancer patients receive care in the community, yet few studies have evaluated the effectiveness of clinical programs outside of academic or National Cancer Institute (NCI)-designated cancer centers. This was a multi-level, case-controlled study of real-world outcomes for initial AML treatment in a community-based network for 1,391 patients with AML between 2011 and 2018. We benchmarked survival within our network against the Surveillance, Epidemiology, and End Results (SEER) database. Coarsened exact matching was performed against 17,186 chemotherapy-treated patients in the SEER database. Cox proportional and accelerated failure time multivariable modeling were performed to identify patient, disease, therapy and center characteristics associated with the risk of AML mortality. Within the network, 799 patients were treated at six specialized blood cancer centers and 592 at 63 other hospitals. Patients receiving high-intensity induction at specialized centers had improved median survivals of 31 months versus 18 months [P<0.001] at non-specialized centers. Median survivals were 13 for non-specialized centers versus 10 months for SEER [P<0.001], and 18 for the entire network versus 10 months for SEER [P<0.001]. Multivariable modeling showed significant impacts from age (

Indexed as

AMLcenter effectscommunity-basedreal-world evidence

Identifiers

PMID39417014
PMCPMC11477936

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Registered trials

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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.