Evidence map›Paper›PMID 36715486›Full record

ArticleCancer2023

Prediction of survival with lower intensity therapy among older patients with acute myeloid leukemia.

Koji Sasaki, Farhad Ravandi, Tapan M Kadia, Gautam Borthakur, Nicholas J Short, Nitin Jain, Naval G Daver, Elias J Jabbour, Guillermo Garcia-Manero, Sanam Loghavi and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

15 authors at 1 institution in 1 country.

Koji SasakiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-9140-0610
Farhad RavandiDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Tapan M KadiaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-9892-9832
Gautam BorthakurDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Nicholas J ShortDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-2983-2738
Nitin JainDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Naval G DaverDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0001-7103-373X
Elias J JabbourDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0003-4465-6119
Guillermo Garcia-ManeroDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-3631-2482
Sanam LoghaviDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Keyur P PatelDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Guillermo Montalban-BravoDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0002-4533-5176
Lucia MasarovaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0001-6624-4196
Courtney D DiNardoDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0001-9003-0390
Hagop M KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
University of Texas M.D. Anderson Cancer SPORE-LeukemiaP50CA100632 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHPALL, ELIZABETH J · 2003 to 2023
$43.7M
Cancer Center Support Fund P30CA016672NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA100632The MD Anderson Cancer Center Leukemia Specialized Program of Research Excellence CA100632
6 · The paper itself

Abstract

backgroundThe aim of this study was to develop a prognostic model for survival in older/unfit patients with newly diagnosed acute myeloid leukemia (AML) who were treated with lower-intensity chemotherapy regimens.

methodsThe authors reviewed all older/unfit patients with newly diagnosed AML who received lower-intensity chemotherapy from 2000 until 2020 at their institution. A total of 1462 patients were included. They were divided (3:1 basis) into a training (n = 1088) and a validation group (n = 374).

resultsIn the training cohort of 1088 patients (median age, 72 years), the multivariate analysis identified 11 consistent independent adverse factors associated with survival: older age, therapy-related myeloid neoplasm, existence of previous myelodysplastic syndrome or myeloproliferative neoplasms, poor performance status, pulmonary comorbidity, anemia, thrombocytopenia, elevated lactate dehydrogenase, cytogenetic abnormalities, and the presence of infection at diagnosis, and therapy not containing venetoclax. The 3-year survival rates were 52%, 24%, 10%, and 1% in favorable, intermediate, poor, and very poor risk, respectively. This survival model was validated in an independent cohort. In a subset of patients in whom molecular mutation profiles were performed in more recent times, adding the mutation profiles after accounting for the effects of previous factors identified IDH2 (favorable), NPM1 (favorable), and TP53 (unfavorable) mutations as molecular prognostic factors.

conclusionThe proposed survival model with lower-intensity chemotherapy in older/unfit patients with newly diagnosed AML may help to advise patients on their expected outcome, to propose different strategies in first complete remission, and to compare the results of different existing or future investigational therapies. PLAIN LANGUAGE SUMMARY: Lower intensity therapy can be considered for older patients to avoid severe toxicities and adverse events. However, survival prediction in AML was commonly developed in patients who received intensive chemotherapy. In this study, we have proposed a survival model to guide therapeutic approach in older patients who received lower-intensity therapy.

Indexed as

Leukemia, Myeloid, AcuteMyelodysplastic SyndromesAgedAntineoplastic Combined Chemotherapy ProtocolsChromosome AberrationsHumansMutationPrognosisRetrospective Studiesacute myeloid leukemiaearly mortalitylower-intensity chemotherapymolecular abnormalitiesmutationspredictive modelsurvival

Identifiers

PMID36715486
PMCPMC11931673
OpenAlexW4318542571

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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.