Evidence map›Paper›PMID 30016426›Full record

ArticleEuropean journal of public health2019

Selective prevention of cardiometabolic diseases: activities and attitudes of general practitioners across Europe.

Anne-Karien M de Waard, Monika Hollander, Joke C Korevaar, Mark M J Nielen, Axel C Carlsson, Christos Lionis, Bohumil Seifert, Trine Thilsing, Niek J de Wit, François G Schellevis and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Objective sleep and cardiometabolic biomarkers: results from the community of mine study.Sleep advances : a journal of the Sleep Research Society · 2023
    Article
  20. 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

11 authors at 6 institutions in 5 countries.

Anne-Karien M de WaardDepartment of General Practice, Julius Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Monika HollanderDepartment of General Practice, Julius Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Joke C KorevaarNivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands.
Mark M J NielenNivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands.
Axel C CarlssonDivision of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Stockholm, Sweden.
Christos LionisClinic of Social and Family Medicine, School of Medicine, University of Crete, Greece.
Bohumil SeifertInstitute of General Practice, First Faculty of Medicine, Charles University, Prague, The Czech Republic.
Trine ThilsingResearch Unit of General Practice, Department of Public Health, University of Southern Denmark, Odense C, Denmark.
Niek J de WitDepartment of General Practice, Julius Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
François G SchellevisNivel (Netherlands Institute for Health Services Research), Utrecht, The Netherlands.
SPIMEU Project Group
Netherlands Institute for Health Services Research · NLUtrecht University · NLCharles University · CZUniversity of Crete · GRUniversity of Southern Denmark · DKUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiometabolic diseases (CMDs) are the number one cause of death. Selective prevention of CMDs by general practitioners (GPs) could help reduce the burden of CMDs. This measure would entail the identification of individuals at high risk of CMDs-but currently asymptomatic-followed by interventions to reduce their risk. No data were available on the attitude and the extent to which European GPs have incorporated selective CMD prevention into daily practice. Methods: A survey among 575 GPs from the Czech Republic, Denmark, Greece, the Netherlands and Sweden was conducted between September 2016 and January 2017, within the framework of the SPIMEU-project. Results: On average, 71% of GPs invited their patients to attend for CMD risk assessment. Some used an active approach (47%) while others used an opportunistic approach (53%), but these values differed between countries. Most GPs considered selective CMD prevention as useful (82%) and saw it as part of their normal duties (84%). GPs who did find selective prevention useful were more likely to actively invite individuals compared with their counterparts who did not find prevention useful. Most GPs had a disease management programme for individuals with risk factor(s) for cardiovascular disease (71%) or diabetes (86%). Conclusions: Although most GPs considered selective CMD prevention as useful, it was not universally implemented. The biggest challenge was the process of inviting individuals for risk assessment. It is important to tailor the implementation of selective CMD prevention in primary care to the national context, involving stakeholders at different levels.

Indexed as

Attitude of Health PersonnelAdultCardiovascular DiseasesCzech RepublicDenmarkFemaleGeneral PractitionersGreeceHumansMaleMiddle AgedNetherlandsPractice Patterns, Physicians'Primary Health CareRisk FactorsSurveys and Questionnaires

Identifiers

PMID30016426
PMCPMC6345147
OpenAlexW2883658390

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.