Evidence map›Paper›PMID 19823942›Full record

ArticleThe international journal of cardiovascular imaging2010

Systolic versus diastolic cardiac function variables during epirubicin treatment for breast cancer.

Jon M Appel, Benny V Jensen, Dorte L Nielsen, Marianne Ryberg, Bo Zerahn

Abstract read
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jon M AppelDepartment of Cardiology, Herlev Hospital, University of Copenhagen, Herlev, Denmark. jomiap02@heh.regionh.dk
Benny V Jensen
Dorte L Nielsen
Marianne Ryberg
Bo Zerahn
Herlev Hospital · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthracyclines are important in the treatment of numerous malignant diseases but the use is limited by a risk of heart failure (CHF). LVEF (left ventricular ejection fraction) measurements by radionuclide ventriculography with multiple gated acquisition (MUGA) is often used for cardiac monitoring. However, diastolic variables have been proposed as sensitive supplements. It was hypothesized that a change in diastolic filling variables measured by MUGA could identify individuals after epirubicin treatment (ET) in risk of developing heart failure. A retrospective analysis of registered raw data. Individuals completing high-dose ET for breast cancer were selected from a 2-year period. All had MUGA-scans performed prior to and after ET and were observed clinically for late development of CHF. Eleven of 34 individuals developed CHF. A significant LVEF-reduction was recorded after ET with only minor changes in diastolic parameters. Development of CHF was related to dose, entry-blood pressure and inversely to post-epirubicin LVEF. Risk of CHF was high if LVEF <50% (Hazard ratio 3.31). Epirubicin induces considerable decrease in LVEF and a high risk of CHF. The risk of CHF is significantly higher if LVEF is reduced after ET. Diastolic MUGA-variables seem to add little information to conventional measurements of LVEF.

Indexed as

Antibiotics, AntineoplasticBlood PressureBreast NeoplasmsChi-Square DistributionDiastoleDose-Response Relationship, DrugEpirubicinFemaleGated Blood-Pool ImagingHeart FailureHeart VentriclesHumansKaplan-Meier EstimateProportional Hazards ModelsRegistriesRetrospective StudiesAntibiotics, AntineoplasticEpirubicin

Identifiers

PMID19823942
OpenAlexW2010332625

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.