Evidence map›Paper›PMID 35583829›Full record

ArticleJournal of cancer research and clinical oncology2023

Impact of treatment intensity on infectious complications in patients with acute myeloid leukemia.

Romy Tober, Ulf Schnetzke, Maximilian Fleischmann, Olaposi Yomade, Karin Schrenk, Jakob Hammersen, Anita Glaser, Christian Thiede, Andreas Hochhaus, Sebastian Scholl

Open access · hybridFull text read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. Article
  6. Research priorities to address supportive care needs in acute myeloid leukaemia (AML)-results from a Delphi survey.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  7. Article
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  13. Mucositis and Infection in Hematology Patients.International journal of molecular sciences · 2023
    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

10 authors at 2 institutions in 1 country.

Romy ToberKlinik Für Innere Medizin II, Abteilung Hämatologie Und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Ulf SchnetzkeKlinik Für Innere Medizin II, Abteilung Hämatologie Und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Maximilian FleischmannKlinik Für Innere Medizin II, Abteilung Hämatologie Und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Olaposi YomadeKlinik Für Innere Medizin II, Abteilung Hämatologie Und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Karin SchrenkKlinik Für Innere Medizin II, Abteilung Hämatologie Und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Jakob HammersenKlinik Für Innere Medizin II, Abteilung Hämatologie Und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Anita GlaserInstitut Für Humangenetik, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Christian ThiedeUniversitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden, Germany.
Andreas HochhausKlinik Für Innere Medizin II, Abteilung Hämatologie Und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany.
Sebastian SchollKlinik Für Innere Medizin II, Abteilung Hämatologie Und Internistische Onkologie, Universitätsklinikum Jena, Am Klinikum 1, 07747, Jena, Germany. sebastian.scholl@med.uni-jena.de.ORCID http://orcid.org/0000-0003-2893-3630
Jena University Hospital · DEKlinik und Poliklinik für Psychotherapie und Psychosomatik · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfectious complications reflect a major challenge in the treatment of patients with acute myeloid leukemia (AML). Both induction chemotherapy and epigenetic treatment with hypomethylating agents (HMA) are associated with severe infections, while neutropenia represents a common risk factor. Here, 220 consecutive and newly diagnosed AML patients were analyzed with respect to infectious complications dependent on treatment intensity and antifungal prophylaxis applied to these patients. PATIENTS AND

methodsWe retrospectively analyzed 220 patients with newly diagnosed AML at a tertiary care hospital between August 2016 and December 2020. The median age of AML patients undergoing induction chemotherapy (n = 102) was 61 years (25-76 years). Patients receiving palliative AML treatment (n = 118) had a median age of 75 years (53-91 years). We assessed the occurrence of infectious complication including the classification of pulmonary invasive fungal disease (IFD) according to the EORTC/MSG criteria at diagnosis and until day 100 after initiation of AML treatment. Furthermore, admission to intensive care unit (ICU) and subsequent outcome was analyzed for both groups of AML patients, respectively.

resultsAML patients subsequently allocated to palliative AML treatment have a significantly higher risk of pneumonia at diagnosis compared to patients undergoing induction chemotherapy (37.3% vs. 13.7%, P < 0.001) including a higher probability of atypical pneumonia (22.0% vs. 10.8%, P = 0.026). Furthermore, urinary tract infections are more frequent in the palliative subgroup at the time of AML diagnosis (5.1% vs. 0%, P = 0.021). Surprisingly, the incidence of pulmonary IFD is significantly lower after initiation of palliative AML treatment compared to the occurrence after induction chemotherapy (8.4% vs. 33.3%, P < 0.001) despite only few patients of the palliative treatment group received Aspergillus spp.-directed antifungal prophylaxis. The overall risk for infectious complications at AML diagnosis is significantly higher for palliative AML patients at diagnosis while patients undergoing induction chemotherapy have a significantly higher risk of infections after initiation of AML treatment. In addition, there is a strong correlation between the occurrence of pneumonia including atypical pneumonia and pulmonary IFD and the ECOG performance status at diagnosis in the palliative AML patient group. Analysis of intensive care unit (ICU) treatment (e.g. in case of sepsis or pneumonia) for both subgroups reveals a positive outcome in 10 of 15 patients (66.7%) with palliative AML treatment and in 15 of 18 patients (83.3%) receiving induction chemotherapy. Importantly, the presence of infections and the ECOG performance status at diagnosis significantly correlate with the overall survival (OS) of palliative AML patients (315 days w/o infection vs. 69 days with infection, P 0.0049 and 353 days for ECOG < 1 vs. 50 days for ECOG > 2, P < 0.001, respectively) in this intent-to-treat analysis.

conclusionThe risk and the pattern of infectious complications at diagnosis and after initiation of AML therapy depends on age, ECOG performance status and subsequent treatment intensity. A comprehensive diagnostic work-up for identification of pulmonary IFD is indispensable for effective treatment of pneumonia in AML patients. The presence of infectious complications at diagnosis contributes to an inferior outcome in elderly AML patients.

Indexed as

Invasive Fungal InfectionsLeukemia, Myeloid, AcuteAgedAntifungal AgentsHumansInduction ChemotherapyMiddle AgedRetrospective StudiesAntifungal AgentsAMLEpigenetic therapyIFDInduction chemotherapyInfectionsPneumonia

Identifiers

PMID35583829
PMCPMC10020242
OpenAlexW4280583654

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Textfull text, public
LicenceCC BY
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Read underepoch 390

Registered trials

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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.