Evidence map›Paper›PMID 38342918›Full record

ArticleBMC primary care2024

Patient characteristics and reasons for discontinuation in a cardiovascular risk management programme in The Netherlands.

Geert H J M Smits, Sander van Doorn, Michiel L Bots, Monika Hollander

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC primary care, 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, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 2 institutions in 2 countries.

Geert H J M SmitsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands. g.smits@pozob.nl.
Sander van DoornJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Michiel L BotsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Monika HollanderJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
University Medical Center Utrecht · NLUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince 2010, an increasing number of patients have participated in a nurse-led integrated cardiovascular risk management programme in the Netherlands. Because it is important to understand which patients discontinue and why, when evaluating the effectiveness of the care programme, the aim was to identify the reasons for discontinuation.

methodsElectronic health records of 3997 patients enrolled in a nurse-led integrated cardiovascular risk management programme that started on April 1

resultsBetween April 1

conclusionsIn our study we observed that participants who discontinued the nurse-led integrated CVRM care programme between 2010 and 2018 without specific reason or on request were younger, without previous CVD, had less cardiovascular comorbidity and were better adjusted to medication. Exploring the patients' reasons for discontinuation can contribute to an individualized approach to prevent or reduce discontinuation.

Indexed as

Cardiovascular DiseasesDiabetes MellitusHeart Disease Risk FactorsHumansNetherlandsRisk FactorsCardiovascular risk managementIntegrated carePreventionPrimary health care

Identifiers

PMID38342918
PMCPMC10860257
OpenAlexW4391735126

What OpenQuestion holds

Textmetadata
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.