Evidence map›Paper›PMID 27899103›Full record

Trial reportBMC medical informatics and decision making2016

Time-to-event versus ten-year-absolute-risk in cardiovascular risk prevention - does it make a difference? Results from the Optimizing-Risk-Communication (OptRisk) randomized-controlled trial.

Charles Christian Adarkwah, Nikita Jegan, Monika Heinzel-Gutenbrunner, Felicitas Kühne, Uwe Siebert, Uwe Popert, Norbert Donner-Banzhoff, Sarah Kürwitz

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
–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

16 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  11. GSK-3β, FYN, and DYRK1A: Master Regulators in Neurodegenerative Pathways.International journal of molecular sciences · 2021
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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

8 authors.

Charles Christian AdarkwahDepartment of General Practice and Family Medicine, Philipps-University, Marburg, Germany. adarkwah@uni-marburg.de.ORCID 0000-0002-1073-5866
Nikita JeganDepartment of General Practice and Family Medicine, Philipps-University, Marburg, Germany.
Monika Heinzel-GutenbrunnerDepartment of Child and Adolescent Psychiatry, Philipps-University, Marburg, Germany.
Felicitas KühneInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
Uwe SiebertInstitute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health and Health Technology Assessment, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.
Uwe PopertDepartment of General Practice, Georg-August-University, Göttingen, Germany.
Norbert Donner-BanzhoffDepartment of General Practice and Family Medicine, Philipps-University, Marburg, Germany.
Sarah KürwitzDepartment of General Practice and Family Medicine, Philipps-University, Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe concept of shared-decision-making is a well-established approach to increase the participation of patients in medical decisions. Using lifetime risk or time-to-event (TTE) formats has been increasingly suggested as they might have advantages, e.g. in younger patients, to better show consequences of unhealthy behaviour. In this study, the most-popular ten-year risk illustration in the decision-aid-software arriba

methodsThirty-two General Practitioners (GPs) took part in the study. A total of 304 patients were recruited and counseled by their GPs with arriba

resultsRegarding our primary outcome PEF-FB9 the new TTE illustration is not inferior compared to the well-established emoticons taking the whole study population into account. Furthermore, the non-inferiority of the innovative TTE could be confirmed for all secondary outcome variables. The explorative analysis indicates even advantages in younger patients (below 46 years of age).

conclusionThe TTE format seems to be as useful as the well-established emoticons. For certain patient populations, especially younger patients, the TTE may be even superior to demonstrate a cardiovascular risk at early stages. Our results suggest that time-to-event illustrations should be considered for current decision support tools covering cardiovascular prevention.

trial registrationThe study was registered at the German Clinical Trials Register and at the WHO International Clinical Trials Register Platform ( ICTRP, ID DRKS00004933 ); registered 2 February 2016 (retrospectively registered).

Indexed as

Decision MakingDecision Support TechniquesAdultAgedCardiovascular DiseasesFemaleGermanyHumansMaleMiddle AgedRisk AssessmentAccessibilityArribaTMCardiovascular diseaseDecision-aidDecisional conflictLifetime riskRandomized-controlled trialRisk-assessmentShared decision-makingTen-year-prognosisTime-to-event

Identifiers

PMID27899103
PMCPMC5129612

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.