Evidence map›Paper›PMID 39819482›Full record

ArticleInternational journal of technology assessment in health care2025

A minimum dataset for destination therapy with left ventricular assist device: the evidence that matters to decision makers.

Janet Puñal-Riobóo, Maria José Faraldo Vallés, Natalia Nogueira Uzal, Hannah Patrick, Leonor Varela-Lema

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Janet Puñal-RiobóoGalician Health Knowledge Agency (Avalia-t ACIS), Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0003-4519-004X
Maria José Faraldo VallésGalician Health Knowledge Agency (Avalia-t ACIS), Santiago de Compostela, Spain.
Natalia Nogueira UzalPharmacist Public Health Inspector, Galician Department of Health, Santiago de Compostela, Spain.
Hannah PatrickNational Institute for Care and Health Excellence (NICE), London, UK.
Leonor Varela-LemaPreventive Medicine and Public Health Department, University of Santiago de Compostela, Santiago de Compostela, Spain.ORCID https://orcid.org/0000-0001-8365-7961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeft ventricular assist devices (LVAD) are a therapeutic option in patients with advanced heart failure (HF) not a candidate for cardiac transplant as destination therapy (DT). However, important uncertainties remain regarding the use of LVAD in the long-term in real practice settings. When planning registries, it is important to choose the appropriate outcomes that ensure comparability and reduce the possibility of bias.

aimThe purpose of this study was to establish a minimum dataset (MDS) that should be collected in all LVAD for DT registries to meet the needs and demands of Health Technology Assessment (HTA) doers and health professionals.

methodsTo design the MDS for LVAD, a preliminary list of outcome domains and data items were developed attending to the gaps and research needs derived from existing evidence coming from HTA carried out at the European Network of Health Technology Assessment (EUnetHTA) level. The list of data items and domains was agreed upon by all involved HTA organizations and a three-round Delphi was conducted among an experienced panel of cardiologists to rate the importance of the items for measuring uncertainty gaps.

resultsAfter the three-round Delphi process, the expert panel reached a consensus regarding eighteen outcomes and forty-seven variables divided into seven main domains (safety, effectiveness, patient acceptability, satisfaction, healthcare system impact, pharmaceutical management, and technique-related factors).

conclusionsThe MDS of outcomes and measures, developed based on research gaps and needs, can allow for standardizing data collection and improving the quality of data for decision making and practice.

Indexed as

Datasets as TopicDecision MakingHeart-Assist DevicesHeart FailureTechnology Assessment, BiomedicalDelphi TechniqueHumansRegistriesclinical decision-makingdestination therapyevidence gaps and real-world dataheart-assist devicesminimum dataset

Identifiers

PMID39819482
PMCPMC11811952

What OpenQuestion holds

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LicenceCC BY
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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.