Evidence map›Paper›PMID 39819959›Full record

ArticleBMJ open2025

Cardiometabolic risk factors in the Swedish Werlabs cohort based on self-initiated health screening: cohort profile.

Hannah Coudé Adam, Omid Hajimirsadeghi, Lovisa Krantz, Kerstin Brismar, Anna Norhammar, Peter Ueda, Daniel Peter Andersson, Nadia Bandstein Forsberg

Abstract read
In one paragraph

Article in BMJ open, 2025. 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

8 authors.

Hannah Coudé AdamWerlabs AB, Stockholm, Sweden.
Omid HajimirsadeghiWerlabs AB, Stockholm, Sweden.
Lovisa KrantzWerlabs AB, Stockholm, Sweden.
Kerstin BrismarKarolinska Institutet, Stockholm, Sweden.
Anna NorhammarKarolinska Institutet, Stockholm, Sweden.
Peter UedaFreelance Researcher, Stockholm, Sweden.
Daniel Peter AnderssonWerlabs AB, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4655-4837
Nadia Bandstein ForsbergWerlabs AB, Stockholm, Sweden nadia.bandstein-forsberg@werlabs.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThere is limited research on individuals undergoing self-initiated health examinations, and the Werlabs cohort will be a base for such research.

participantsAll individuals aged 18 or older who had undertaken a self-initiated health examination at Werlabs AB with at least one recorded value of creatinine or cholesterol in Sweden (from 1 January 2015 through 31 December 2023) was included. Medical history and anthropometric measurements were self-reported through an online questionnaire. We describe cohort baseline characteristics, demographic variables and cardiometabolic risk factors. FINDINGS TO DATE: The study population includes 149 556 individuals who provided at least one health screening. The median (IQR) age was 43 (33-54) years and 54% were women. The most common self-reported chronic disease was hypertension (4.5%), followed by cardiovascular disease (0.9%) and 12.6% reported values of obesity. The prevalence was 2.1% for diabetes, 1.2% for kidney disease (including an estimated glomerular filtration rate of <60 mL/min/1.73 m FUTURE PLANS: The Werlabs cohort comprises a rather healthy and young population that can provide opportunities for future studies on individuals undergoing self-initiated health examinations and has the potential to impact treatment of cardiometabolic risk factors.

Indexed as

Cardiometabolic Risk FactorsCardiovascular DiseasesMass ScreeningAdultAgedCohort StudiesDiabetes MellitusFemaleHumansHypertensionMaleMiddle AgedObesityPrevalenceRisk FactorsSelf ReportHealthPreventive Health ServicesPREVENTIVE MEDICINE

Identifiers

PMID39819959
PMCPMC11752053

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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.