Evidence map›Paper›PMID 28742243›Full record

ArticleESC heart failure2017

Data privacy management and data quality monitoring in the German Centre for Cardiovascular Research's multicentre TranslatiOnal Registry for CardiomyopatHies (DZHK-TORCH).

Thea Schwaneberg, Kerstin Weitmann, Andreas Dösch, Claudia Seyler, Thomas Bahls, Lars Geidel, Dana Stahl, Mahsa Lee, Monika Kraus, Hugo A Katus and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in ESC heart failure, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  6. The generic Informed Consent Service gICSJournal of translational medicine · 2020
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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

11 authors at 4 institutions in 1 country.

Thea SchwanebergGerman Centre for Cardiovascular Research (DZHK), Germany.
Kerstin WeitmannGerman Centre for Cardiovascular Research (DZHK), Germany.
Andreas DöschGerman Centre for Cardiovascular Research (DZHK), Germany.
Claudia SeylerGerman Centre for Cardiovascular Research (DZHK), Germany.
Thomas BahlsGerman Centre for Cardiovascular Research (DZHK), Germany.
Lars GeidelGerman Centre for Cardiovascular Research (DZHK), Germany.
Dana StahlGerman Centre for Cardiovascular Research (DZHK), Germany.
Mahsa LeeGerman Centre for Cardiovascular Research (DZHK), Germany.
Monika KrausGerman Centre for Cardiovascular Research (DZHK), Germany.
Hugo A KatusGerman Centre for Cardiovascular Research (DZHK), Germany.
Wolfgang HoffmannGerman Centre for Cardiovascular Research (DZHK), Germany.
German Centre for Cardiovascular Research · DEUniversitätsmedizin Greifswald · DEUniversity Hospital Heidelberg · DEUniversität Greifswald · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe multicentric TranslatiOnal Registry for CardiomyopatHies (TORCH) of the German Centre for Cardiovascular Research aims to recruit 2300 patients with non-ischemic cardiomyopthies. METHODS AND

resultsThe investigations were performed after standard operating procedures. The data are collected in standardized electronic case report forms provided by the data holding of the central data management of the German Centre for Cardiovascular Research using secuTrial (interActive Systems GmbH, Berlin, Germany). The personal-identifying data and informed consent are collected, stored, and quality-checked by the independent Trusted Third Party in Greifswald. The quality management of the medical data is performed by the data and quality centre Greifswald. In December 2014, the recruitment for TORCH has started. Currently, data and biomaterial from about 1397 patients and more than 74 500 biomaterial aliquots were collected. Regular study centre-specific quality reports address completeness and plausibility of data and provide detailed information about current missing or implausible data entries to improve the data quality by using a query management in addition.

conclusionsA regular quality control and reporting improve the data quality in TORCH and will support high-quality data analysis and the translation of research results into routine care.

Indexed as

Data AccuracyPrivacyCardiomyopathiesFemaleGermanyHumansInformed ConsentKnowledge ManagementMaleMiddle AgedMorbidityRegistriesTranslational Research, BiomedicalCardiomyopathyCentral data managementQuality managementRegistry

Identifiers

PMID28742243
PMCPMC5695169
OpenAlexW2738085097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.