Evidence map›Paper›PMID 35653050›Full record

ReviewCurrent oncology reports2022

Older Patients with Acute Myeloid Leukemia Deserve Individualized Treatment.

David C de Leeuw, Gert J Ossenkoppele, Jeroen J W M Janssen

Abstract readReview
In one paragraph

Review in Current oncology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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

3 authors.

David C de LeeuwDepartment of Hematology, Amsterdam University Medical Centers, Location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. d.deleeuw@amsterdamumc.nl.ORCID 0000-0003-4591-8467
Gert J OssenkoppeleDepartment of Hematology, Amsterdam University Medical Centers, Location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
Jeroen J W M JanssenDepartment of Hematology, Amsterdam University Medical Centers, Location VUmc, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTreatment of elderly patients with acute myeloid leukemia is a known challenge for hematologists due to patient diversity, heterogeneous disease biology, and a rapidly evolving treatment landscape. Here, we highlight the importance of determining fitness, review the latest therapeutic developments, and discuss clinical scenarios to provide guidance on individualized treatment for older AML patients. RECENT

findingsSeveral factors, like age, performance status, and comorbidities, play a role in fitness and are associated with outcome. Comorbidity scoring systems and geriatric assessments are tools to help physicians select the most appropriate treatment for each patient. The addition of venetoclax, targeted therapy with IDH1/2 and FLT3 inhibitors, and enhanced formulas of existing drugs like CPX-351 and oral azacitidine have improved responses and outcomes. New drugs and combination therapies have increased the therapeutic options for elderly AML patients but determination of fitness and disease biology is essential to select patient-tailored treatments.

Indexed as

Leukemia, Myeloid, AcuteAgedAzacitidineHumansProtein Kinase InhibitorsAzacitidineProtein Kinase InhibitorsAcute myeloid leukemiaAzacitidineCC-486CPX-351DecitabineElderlyEnasidenibFitnessFTL3 inhibitorsGemutuzumab ozogamicinGilteritinibGlasdegibHematopoietic stem cell transplantationHypomethylating agentsIDH inhibitorsIntensive chemotherapyIvosidenibMidostaurinTargeted therapyTreatmentVenetoclaxVyxeos

Identifiers

PMID35653050
PMCPMC9606099

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.