Evidence map›Paper›PMID 38925695›Full record

ArticleBMJ open2024

Modelling years of life lost due to acute type A aortic dissection in the German healthcare setting: a predictive study.

Philipp Schiele, Adriana N König, Alexander Meyer, Volkmar Falk, Christoph A Nienaber, Stephan D Kurz

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Philipp SchieleDepartment of Statistics, Ludwig-Maximilians-Universität München, München, Germany.ORCID 0000-0002-0101-0388
Adriana N KönigMunich School of Management and Munich Center of Health Sciences, Ludwig-Maximilians-Universität München, München, Germany.
Alexander MeyerDepartment of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany.
Volkmar FalkDepartment of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany.
Christoph A NienaberNational Heart and Lung Institute, Imperial College London, London, UK.
Stephan D KurzDepartment of Cardiothoracic and Vascular Surgery, Deutsches Herzzentrum der Charité (DHZC), Berlin, Germany stephan.kurz@dhzc-charite.de.ORCID 0000-0003-4666-9511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to develop a patient-centred approach to the burden of acute type A aortic dissection (ATAAD) through modelling. The main objective was to identify potential improvements in managing this life-threatening cardiovascular condition and to provide evidence-based recommendations to optimise outcomes.

designWe developed a predictive model along patient pathways to estimate the burden of ATAAD through the years of life lost (YLLs) metric. The model was created based on a systematic review of the literature and was parameterised using demographic data from the German healthcare environment. The model was designed to allow interactive simulation of different scenarios resulting from changes in key impact factors.

settingThe study was conducted using data from the German healthcare environment and results from the literature review.

participantsThe study included a comprehensive modelling of ATAAD cases in Germany but did not directly involve participants.

interventionsThere were no specific interventions applied in this study based on the modelling design. PRIMARY AND SECONDARY OUTCOME MEASURES: The single outcome measure was the estimation of YLL due to ATAAD in Germany.

resultsOur model estimated 102 791 YLL per year for ATAAD in Germany, with 62 432 and 40 359 YLL for men and women, respectively. Modelling an improved care setting yielded 93 191 YLL or 9.3% less YLL compared with the current standard while a worst-case scenario resulted in 113 023 or 10.0% more YLL. The model is accessible at https://acuteaorticdissection.com/ to estimate custom scenarios.

conclusionsOur study provides an evidence-based approach to estimating the burden of ATAAD and identifying potential improvements in the management of pathways. This approach can be used by healthcare decision-makers to inform policy changes aimed at optimising patient outcomes. By considering patient-centred approaches in any healthcare environment, the model has the potential to improve efficient care for patients suffering from ATAAD.

Indexed as

Aortic DissectionAcute DiseaseAdultAgedAged, 80 and overAortic AneurysmCost of IllnessFemaleGermanyHumansLife ExpectancyMaleMiddle Agedaccident & emergency medicinecardiothoracic surgerydecision makingorganisation of health servicespatient-centered carepublic health

Identifiers

PMID38925695
PMCPMC11202649

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.