Evidence map›Paper›PMID 31003190›Full record

ReviewCancer treatment reviews2019

Personalizing therapy for older adults with acute myeloid leukemia: Role of geriatric assessment and genetic profiling.

Vijaya Raj Bhatt

Abstract readReview
In one paragraph

Review in Cancer treatment reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Precision Medicine in Myeloid Malignancies: Hype or Hope?Current hematologic malignancy reports · 2022
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Novel Treatment Paradigms in Acute Myeloid Leukemia.Clinical pharmacology and therapeutics · 2020
    Review
  12. Article
  13. Article
  14. Treatment Strategies for Therapy-related Acute Myeloid Leukemia.Clinical lymphoma, myeloma & leukemia · 2020
    Review
  15. Article
  16. Review
  17. 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

1 author.

Vijaya Raj BhattDepartment of Internal Medicine, Division of Hematology-Oncology, University of Nebraska Medical Center, Omaha, NE, United States; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, United States. Electronic address: vijaya.bhatt@unmc.edu.

Funding

UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Joann B. Sweasy · 1985 to 2026
$55.0M
Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUDA, CHITTIBABU · 2016 to 2025
$42.8M
NCI NIH HHS P30 CA036727NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) presents therapeutic challenges in older adults because of high-risk leukemia biology conferring chemoresistance, and poor functional status resulting in increased therapy-related toxicities. Recent FDA approval of 8 new drugs for AML has increased therapeutic armamentarium and also provides effective low-intensity treatment options. Rational therapy selection strategies that consider individual's risk of therapy-related toxicities and probability of disease control can maximize benefits of available treatments. Studies have demonstrated that fitness level, measured by geriatric assessment can predict therapy-related toxicities, whereas cytogenetic and mutation results correlate with the probability of responses to standard chemotherapy. We are approaching an era when we move from "one size fits all" approach to personalized therapy selection based on geriatric assessment, genetic and molecular profiling.

Indexed as

AgedAntineoplastic AgentsDrug Resistance, NeoplasmGeriatric AssessmentHumansLeukemia, Myeloid, AcutePrecision MedicineTreatment OutcomeAntineoplastic AgentsAcute myeloid leukemiaGenetic profilingGeriatric assessmentMolecular mutationOlder adultsTherapy selection

Identifiers

PMID31003190
PMCPMC6481658

What OpenQuestion holds

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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.