Evidence map›Paper›PMID 30497402›Full record

ArticleBMC cardiovascular disorders2018

Cardiac late events in German breast cancer patients: a validation study on the agreement between patient self-reports and information from physicians.

Hiltrud Merzenich, Maria Blettner, Dorothea Niehoff, Lukas Schwentner, Marcus Schmidt, Margit Schmitt, Daniel Wollschläger

Abstract readComparative StudyMulticenter StudyValidation Study
In one paragraph

Article in BMC cardiovascular disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  7. Cardiotoxicity of breast cancer radiotherapy - overview of current results.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology
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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.

Hiltrud MerzenichInstitute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, Obere Zahlbacher Str. 69, 55131, Mainz, Germany. hiltrud.merzenich@unimedizin-mainz.de.ORCID 0000-0002-7299-3764
Maria BlettnerInstitute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, Obere Zahlbacher Str. 69, 55131, Mainz, Germany.
Dorothea NiehoffInstitute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, Obere Zahlbacher Str. 69, 55131, Mainz, Germany.
Lukas SchwentnerDepartment of Gynecology and Obstetrics, University Hospital Ulm, Prittwitzstr. 43, 89075, Ulm, Germany.
Marcus SchmidtDepartment of Obstetrics and Gynecology, University Medical Center Mainz, 55101, Mainz, Germany.
Margit SchmittDepartment of Gynecology and Obstetrics, University Hospital Ulm, Prittwitzstr. 43, 89075, Ulm, Germany.
Daniel WollschlägerInstitute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center Mainz, Obere Zahlbacher Str. 69, 55131, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-administered health-status questionnaires are important tools in epidemiology. The objective of the presented validation study is to measure the agreement between breast cancer patients' self-reports and their physicians' information on late cardiac events, and to investigate determinants of agreement. To estimate possible misclassification is an important requirement for observational studies on cardiovascular endpoints.

methodsA retrospective, multi-center cohort study included 11,982 women diagnosed with breast cancer in Germany in 1998-2008. In 2014, a questionnaire survey assessed cardiovascular risk factors and incident cardiac events after therapy. A validation study was conducted, based on a sample of 3091 breast cancer patients from two university hospitals. Among them, 2261 women (73%) sent back the questionnaire on cardiovascular events, and 1316 women gave consent to request medical records from their general practitioners. A total of 1212/1316 (92.1%) medical records could be obtained for validation. Cohen's kappa coefficient was calculated, and multivariate regression was applied to study the influence of patient characteristics on agreement between both data sources.

resultsOverall agreement for the composite endpoint of any cardiac event was 84.5% (kappa 0.35). Of 1055 breast cancer patients reporting no cardiac event, 950 (90%) had no such diagnosis in physicians' medical records. A total of 157 breast cancer survivors indicated a cardiac event, and the same diagnosis was confirmed by GPs for 74 (47%) women. For specific diagnoses, moderate to substantial agreement of self-reports was found for myocardial infarction (kappa 0.54) and stroke (kappa 0.61). Poor to fair agreement was present for angina pectoris, valvular heart disease, arrhythmia, and congestive heart failure. Younger age, higher education and a more recent cancer diagnosis were found to be associated with greater total agreement.

conclusionsFor the composite endpoint, survivors of breast cancer report the absence of cardiac disease accurately. However, for specific diagnoses, self-reported morbidity data from breast cancer patients may not fully agree with information from physicians. The agreement is moderate for acute events like myocardial infarction and stroke, but poor to fair for chronic diseases.

Indexed as

Cancer SurvivorsMedical RecordsSelf ReportBreast NeoplasmsFemaleGermanyHealth StatusHeart DiseasesHumansIncidenceMiddle AgedObserver VariationReproducibility of ResultsRetrospective StudiesTime FactorsBreast cancer therapyPhysicians’ informationSelf-reported cardiac eventsValidation

Identifiers

PMID30497402
PMCPMC6267788

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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.