Evidence map›Paper›PMID 35355425›Full record

Observational studyESC heart failure2022

The new HFA/ICOS risk assessment tool to identify patients with chronic myeloid leukaemia at high risk of cardiotoxicity.

Daniela Di Lisi, Cristina Madaudo, Giulia Alagna, Marco Santoro, Ludovico Rossetto, Sergio Siragusa, Giuseppina Novo

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities.American heart journal plus : cardiology research and practice · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Observational
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 5 institutions in 4 countries.

Daniela Di LisiCardiology Unit, University Hospital Paolo Giaccone, Palermo, Italy.
Cristina MadaudoCardiology Unit, University Hospital Paolo Giaccone, Palermo, Italy.
Giulia AlagnaCardiology Unit, University Hospital Paolo Giaccone, Palermo, Italy.
Marco SantoroDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy.
Ludovico RossettoCardiology Unit, University Hospital Paolo Giaccone, Palermo, Italy.
Sergio SiragusaDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy.
Giuseppina NovoCardiology Unit, University Hospital Paolo Giaccone, Palermo, Italy.
Azienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" di Palermo · ITAOL (United States) · USDepartment of Health · ESUniversity of Palermo · ARUniversity of Palermo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTyrosine kinase inhibitors (TKIs) used to treat chronic myeloid leukaemia (CML) can cause cardiovascular adverse events. So far, the Systematic Coronary Risk Evaluation (SCORE) charts of the European Society of Cardiology (ESC) have been used to identify cancer patients at increased cardiovascular risk. The primary aim of our study was to evaluate the usefulness of the new cardiovascular risk assessment model proposed by the Cardio-Oncology Study Group of the Heart Failure Association (HFA) of the ESC in collaboration with the International Cardio-Oncology Society (ICOS) to stratify the cardiovascular risk in CML patients, compared with SCORE risk charts. The secondary aim was to establish the incidence of adverse arterial events (AEs) in patients with CML treated with TKIs and the influence of preventive treatment with aspirin. METHODS AND

resultsA retrospective single-centre observational study was carried out on 58 patients (32 men and 26 women; mean age ± SD: 59 ± 15 years) with CML treated with TKIs for a median period of 43 ± 31 months. Cardiological evaluation was performed and cardiovascular risk was estimated with SCORE risk charts and with the new risk assessment tool proposed by HFA/ICOS. AEs were recorded. According to SCORE charts and the new HFA/ICOS risk stratification tool, respectively, 46% (Group A1) and 60% (Group A2) of patients were at high-very high risk, and 54% (Group B1) and 40% (Group B2) at low-moderate risk. AEs were significantly more frequent in Group A1 than Group B1 (P value < 0.01) when considered overall; they were significantly more frequent in Group A2 than Group B2 either overall or considered individually. HFA/ICOS risk stratification tool was significantly more sensitive than SCORE (P < 0.01) in identifying patients at higher risk of cardiovascular toxicity. In addition, we did not find AEs in patients pretreated with aspirin.

conclusionsThe new HFA/ICOS risk stratification model allows a more tailored cardiovascular risk stratification in patients with CML and it is more sensitive than SCORE charts.

Indexed as

Heart FailureLeukemia, Myelogenous, Chronic, BCR-ABL PositiveAdultAgedAspirinCardiotoxicityChronic DiseaseFemaleHumansInducible T-Cell Co-Stimulator ProteinMaleMiddle AgedRetrospective StudiesRisk AssessmentAspirinICOS protein, humanInducible T-Cell Co-Stimulator ProteinCardio-oncologyCardiovascular preventionCardiovascular toxicityChronic myeloid leukaemiaNilotinibPonatinib

Identifiers

PMID35355425
PMCPMC9065844
OpenAlexW4220761738

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.