Evidence map›Paper›PMID 38250702›Full record

ArticleGlobal heart2024

Sex Differences in the Primary Prevention of Cardiovascular Diseases in a Dutch Primary Care Setting.

Pauline A J Kiss, Alicia Uijl, Estefania Betancur, Annemarijn R de Boer, Diederick E Grobbee, Monika Hollander, Charlotte N Onland-Moret, Miriam C J M Sturkenboom, Sanne A E Peters

Open access · goldAbstract read
In one paragraph

Article in Global heart, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.8field-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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Observational
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

9 authors at 2 institutions in 4 countries.

Pauline A J KissJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.ORCID 0000-0002-3654-4881
Alicia UijlJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.ORCID 0000-0003-2835-7741
Estefania BetancurJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.
Annemarijn R de BoerJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.ORCID 0000-0003-4200-0917
Diederick E GrobbeeJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.ORCID 0000-0003-4472-4468
Monika HollanderJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.
Charlotte N Onland-MoretJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.ORCID 0000-0002-2360-913X
Miriam C J M SturkenboomJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.ORCID 0000-0003-1360-2388
Sanne A E PetersJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands.ORCID 0000-0003-0346-5412
Utrecht University · NLThe George Institute for Global Health · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sex differences in the primary prevention of cardiovascular diseases (CVD) have been shown, but the evidence is mixed and fragmented. In this study, we assessed sex differences in cardiovascular risk factors assessment, risk factor levels, treatment, and meeting of treatment targets, within a Dutch primary care setting. Methods: Data were obtained from individuals aged 40 to 70 years old, without prior CVD, registered during the entire year in 2018 at one of the 51 general practices participating in the Julius General Practitioner's Network (JGPN). History of CVD was defined based on the International Classification of Primary Care (ICPC). Linear and Poisson regressions were used to investigate sex differences in risk factor assessment, risk factor levels, treatment, and meeting of treatment targets. Results: We included 83,903 individuals (50% women). With the exception of glycated hemoglobin (HbA1c), all risk factors for CVD were more often measured in women than in men. Lipid measurements and body mass index values were higher in women, while blood pressure (BP) and HbA1c levels were higher in men, along with estimated glomerular filtration rate (eGFR) levels. Among individuals with elevated BP or cholesterol levels, no sex difference was observed in the prescription of antihypertensive medications (RR 1.00, 95% CI: 0.94-1.06) but women were less likely than men to receive lipid-lowering medications (RR 0.87, 95% CI: 0.79-0.95). Among treated individuals, women were more likely than men to meet adequate levels of blood pressure (RR 1.17, 95% CI: 1.09-1.25) and less likely to meet target levels of cholesterol (RR 0.90, 95% CI: 0.83-0.98). Conclusion: While women were more likely to have their CVD risk factors measured, they were less likely to be prescribed lipid-lowering medications and to meet target levels. When treated, men were less likely to achieve adequate blood pressure control.

Indexed as

Cardiovascular DiseasesAdultAgedCholesterolFemaleGlycated HemoglobinHumansLipidsMaleMiddle AgedPrimary Health CarePrimary PreventionSex CharacteristicsCholesterolGlycated HemoglobinLipidscardiovascular diseasesprimary careprimary preventionsex differences

Identifiers

PMID38250702
PMCPMC10798167
OpenAlexW4391028195

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.