Evidence map›Paper›PMID 36005563›Full record

ArticleHaematologica2023

Characterization of therapy-related acute myeloid leukemia: increasing incidence and prognostic implications.

Christer Nilsson, Fredrika Linde, Erik Hulegårdh, Hege Garelius, Vladimir Lazarevic, Petar Antunovic, Jörg Cammenga, Stefan Deneberg, Anna Eriksson, Martin Jädersten and 7 more

Open access · goldAbstract read
In one paragraph

Article in Haematologica, 2023. 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
7.5field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 53 citations in OpenAlex.

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  20. Recent advances in AML with mutated NPM1.International journal of hematology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 1 country.

Christer NilssonDepartment of Medicine, Huddinge, Division of Hematology, Karolinska Institutet, Stockholm. christer.nilsson@ki.se.
Fredrika LindeDepartment of Medical Sciences, Uppsala University, Uppsala.
Erik HulegårdhDepartment of Hematology, Sahlgrenska University Hospital, Gothenburg.
Hege GareliusDepartment of Hematology, Sahlgrenska University Hospital, Gothenburg.
Vladimir LazarevicDepartment of Hematology, Skåne University Hospital, Lund, and Department of Hematology, Stem Cell Center, Department of Laboratory Medicine, Lund University, Lund.
Petar AntunovicDepartment of Hematology, Linköping University Hospital, Linköping.
Jörg CammengaDepartment of Hematology, Linköping University Hospital, Linköping.
Stefan DenebergDepartment of Medicine, Huddinge, Division of Hematology, Karolinska Institutet, Stockholm.
Anna ErikssonDepartment of Medical Sciences, Uppsala University, Uppsala.
Martin JäderstenDepartment of Medicine, Huddinge, Division of Hematology, Karolinska Institutet, Stockholm.
Cecilia Kämpe BjörkvallDepartment of Hematology, Norrland University Hospital, Umeå.
Lars MöllgårdDepartment of Hematology, Sahlgrenska University Hospital, Gothenburg.
Lovisa WennströmDepartment of Hematology, Sahlgrenska University Hospital, Gothenburg.
Emma ÖlanderDepartment of Hematology, Sundsvall Hospital, Sundsvall.
Martin HöglundDepartment of Medical Sciences, Uppsala University, Uppsala.
Gunnar JuliussonDepartment of Hematology, Skåne University Hospital, Lund, and Department of Hematology, Stem Cell Center, Department of Laboratory Medicine, Lund University, Lund.
Sören LehmannDepartment of Medicine, Huddinge, Division of Hematology, Karolinska Institutet, Stockholm, Sweden; Department of Medical Sciences, Uppsala University, Uppsala.
Karolinska Institutet · SESahlgrenska University Hospital · SEUppsala University · SELinköping University Hospital · SELund University · SESundsvall Municipality · SEUniversity Hospital of Umeå · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies of therapy-related AML (t-AML) are usually performed in selected cohorts and reliable incidence rates are lacking. In this study, we characterized, defined the incidence over time and studied prognostic implications in all t-AML patients diagnosed in Sweden between 1997 and 2015. Data were retrieved from nationwide population-based registries. In total, 6,779 AML patients were included in the study, of whom 686 (10%) had t-AML. The median age for t-AML was 71 years and 392 (57%) patients were females. During the study period, the incidence of t-AML almost doubled with a yearly increase in t-AML of 4.5% (95% confidence interval: 2.8%-6.2%), which contributed significantly to the general increase in AML incidence over the study period. t-AML solidly constituted over 10% of all AML cases during the later period of the study. Primary diagnoses with the largest increase in incidence and decrease in mortality rate during the study period (i.e., breast and prostate cancer) contributed significantly to the increased incidence of t-AML. In multivariable analysis, t-AML was associated with poorer outcome in cytogenetically intermediate- and adverse-risk cases but t-AML had no significant impact on outcome in favorable-risk AML, including core binding leukemias, acute promyelocytic leukemia and AML with mutated NPM1 without FLT3-ITD. We conclude that there is a strong increase in incidence in t-AML over time and that t-AML constitutes a successively larger proportion of the AML cases. Furthermore, we conclude that t-AML confers a poor prognosis in cytogenetically intermediate- and adverse-risk, but not in favorable-risk AML.

Indexed as

Leukemia, Myeloid, AcuteNuclear ProteinsAgedFemalefms-Like Tyrosine Kinase 3HumansIncidenceMaleMutationNucleophosminPrognosisfms-Like Tyrosine Kinase 3Nuclear ProteinsNucleophosmin

Identifiers

PMID36005563
PMCPMC10071134
OpenAlexW4293089856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.