Evidence map›Paper›PMID 33030979›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2020

Accuracy of SIE/SIES/GITMO Consensus Criteria for Unfitness to Predict Early Mortality After Intensive Chemotherapy in Adults With AML or Other High-Grade Myeloid Neoplasm.

Raffaele Palmieri, Megan Othus, Anna B Halpern, Mary-Elizabeth M Percival, Colin D Godwin, Pamela S Becker, Roland B Walter

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.7field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 49 citations in OpenAlex.

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  13. AML in the Elderly - When less may be more.Current oncology reports · 2024
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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

7 authors at 1 institution in 1 country.

Raffaele PalmieriClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Megan OthusPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Anna B HalpernClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Mary-Elizabeth M PercivalClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Colin D GodwinClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Pamela S BeckerClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Roland B WalterClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Fred Hutch Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWith increasing therapeutic alternatives available, there is growing interest in tools that accurately identify patients most suitable for intensive acute myeloid leukemia (AML) chemotherapy. Nowadays, conceptual criteria proposed by an Italian panel of experts are widely used for this purpose. How accurately these Ferrara criteria predict fitness for intensive chemotherapy is unknown. PATIENTS AND

methodsWe assessed the fitness of adults undergoing intensive AML therapy based on Ferrara criteria and determined the accuracy of this assessment for early mortality and survival prediction.

resultsAmong 655 adults who received curative-intent induction or reinduction chemotherapy with 7 days of standard-dose cytarabine and 3 days of an anthracycline ("7+3") CLAG-M (cladribine, high-dose cytarabine, granulocyte colony-stimulating factor, and mitoxantrone), or reduced-dose CLAG-M, 197 (30%) met at least one of the criteria defining unfitness for intensive chemotherapy (F-unfit). Compared with F-fit patients, the overall survival of F-unfit patients was significantly shorter (median, 4.8 months; 95% CI, 3.6 to 6.5 months

conclusionFerrara unfitness criteria provide a good prediction tool for shorter-term mortality after intensive AML chemotherapy. Our data may serve as a benchmark for expected outcomes with intensive chemotherapy in F-fit and F-unfit patients.

Indexed as

Leukemia, Myeloid, AcuteMyeloproliferative DisordersAdolescentAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsCladribineConsensus Statements as TopicCytarabineFemaleGranulocyte Colony-Stimulating FactorHumansInduction ChemotherapyItalyMaleCladribineCytarabineGranulocyte Colony-Stimulating FactorMitoxantrone

Identifiers

PMID33030979
PMCPMC8462659
OpenAlexW3092512194

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.