Evidence map›Paper›PMID 37173109›Full record

ArticleBMJ open2023

Temporal trends in cardiovascular risk factors, lifestyle and secondary preventive medication for patients with myocardial infarction attending cardiac rehabilitation in Sweden 2006-2019: a registry-based cohort study.

Margret Leosdottir, Emil Hagstrom, Nermin Hadziosmanovic, Anna Norhammar, Bertil Lindahl, Kristina Hambraeus, Tomas Jernberg, Maria Bäck

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
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  3. Outpatients' cardiac rehabilitation: the long-term experience of the Niguarda Hospital.International journal of cardiology. Cardiovascular risk and prevention · 2026
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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 at 6 institutions in 1 country.

Margret LeosdottirDepartment of Cardiology, Skane University Hospital, Malmo, Sweden margret.leosdottir@med.lu.se.ORCID 0000-0003-1677-1566
Emil HagstromDepartment of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.
Nermin HadziosmanovicUppsala Clinical Research Center, Uppsala, Sweden.
Anna NorhammarDepartment of Medicine Solna, Cardiology Unit, Karolinska Institutet, Stockholm, Sweden.
Bertil LindahlDepartment of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-5795-0061
Kristina HambraeusDepartment of Cardiology, Falun Hospital, Falun, Dalarna, Sweden.
Tomas JernbergDepartment of Clinical Sciences, Danderyd University Hospital, Stockholm, Sweden.
Maria BäckDepartment of Medical and Health Sciences, Division of Physiotherapy, Linkoping University, Linkoping, Sweden.
Uppsala University · SEDanderyds sjukhus · SEFalun Hospital · SEKarolinska Institutet · SELinköping University · SELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRegistries have been highlighted as means to improve quality of care. Here, we describe temporal trends in risk factors, lifestyle and preventive medication for patients after myocardial infarction (MI) registered in the quality registry Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies (SWEDEHEART).

designA registry-based cohort study.

settingAll coronary care units and cardiac rehabilitation (CR) centres in Sweden.

participantsPatients attending a CR visit at 1-year post-MI 2006-2019 were included (n=81 363, 18-74 years, 74.7% men). OUTCOME MEASURES: Outcome measures at 1-year follow-up included blood pressure (BP) <140/90 mm Hg, low-density lipoprotein-cholesterol (LDL-C)<1.8 mmol/L, persistent smoking, overweight/obesity, central obesity, diabetes prevalence, inadequate physical activity, and prescription of secondary preventive medication. Descriptive statistics and testing for trends were applied.

resultsThe proportion of patients attaining the targets for BP<140/90 mmHg increased from 65.2% (2006) to 86.0% (2019), and LDL-C<1.8 mmol/L from 29.8% (2006) to 66.9% (2019, p<0.0001 both). While smoking at the time of MI decreased (32.0% to 26.5%, p<0.0001), persistent smoking at 1 year was unchanged (42.8% to 43.2%, p=0.672) as was the prevalence of overweight/obesity (71.9% to 72.9%, p=0.559). Central obesity (50.5% to 57.0%), diabetes (18.2% to 27.2%) and patients reporting inadequate levels of physical activity (57.0% to 61.5%) increased (p<0.0001 for all). From 2007, >90.0% of patients were prescribed statins and approximately 98% antiplatelet and/or anticoagulant therapy. Angiotensin-converting enzyme inhibitor/angiotensin receptor blocker prescription increased from 68.7% (2006) to 80.2% (2019, p<0.0001).

conclusionsWhile little change was observed for persistent smoking and overweight/obesity, large improvements were observed for LDL-C and BP target achievements and prescription of preventive medication for Swedish patients after MI 2006-2019. Compared with published results from patients with coronary artery disease in Europe during the same period, these improvements were considerably larger. Continuous auditing and open comparisons of CR outcomes might possibly explain some of the observed improvements and differences.

Indexed as

Cardiac RehabilitationCardiovascular DiseasesMyocardial InfarctionCholesterol, LDLCohort StudiesFemaleHeart Disease Risk FactorsHumansLife StyleMaleObesityOverweightRegistriesRisk FactorsSwedenCholesterol, LDLCoronary heart diseaseMyocardial infarctionQuality in health careREHABILITATION MEDICINERisk management

Identifiers

PMID37173109
PMCPMC10186442
OpenAlexW4376630753

What Socratic 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 Socratic graph.