Evidence map›Paper›PMID 34475186›Full record

ArticleBMJ open2021

Association of cardiometabolic risk factors with hospitalisation or death due to COVID-19: population-based cohort study in Sweden (SCAPIS).

Per Tornhammar, Tomas Jernberg, Göran Bergström, Anders Blomberg, Gunnar Engström, Jan Engvall, Tove Fall, Magnus Gisslén, Christer Janson, Lars Lind and 7 more

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microvascular hypertensive disease, Long COVID, and end-organ pathology.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Article
  5. Article
  6. Observational
  7. Article
  8. J-shaped associations and joint effects of fasting glucose with inflammation and cytokines on COVID-19 mortality.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  9. Observational
  10. Article
  11. 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

17 authors.

Per TornhammarFunctional Area of Emergency Medicine, Karolinska University Hospital Huddinge, Stockholm, Sweden.
Tomas JernbergDepartment of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden.
Göran BergströmClinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Anders BlombergDepartment of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden.
Gunnar EngströmDepartment of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.
Jan EngvallCMIV, Centre of Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Tove FallDepartment of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-2071-5866
Magnus GisslénDepartment of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Christer JansonDepartment of Medical Sciences, Respiratory-, Allergy- and Sleep Research, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-5093-6980
Lars LindDepartment of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden.
C Magnus SköldRespiratory Medicine Unit, Department of Medicine Solna and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Stockholm, Sweden.
Johan SundströmDepartment of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden.
Stefan SöderbergDepartment of Public Health and Clinical Medicine, Section of Medicine, Umeå University, Umeå, Sweden.ORCID 0000-0001-9225-1306
Suneela ZaighamDepartment of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.
Carl Johan ÖstgrenDepartment of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Daniel Peter AnderssonDepartment of Medicine Huddinge H7, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0003-4655-4837
Peter UedaClinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden peter.ueda@ki.se.ORCID 0000-0002-3275-8743

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the association of cardiometabolic risk factors with hospitalisation or death due to COVID-19 in the general population. DESIGN, SETTING AND

participantsSwedish population-based cohort including 29 955 participants. EXPOSURES: Cardiometabolic risk factors assessed between 2014 and 2018.

main outcome measuresHospitalisation or death due to COVID-19, as registered in nationwide registers from 31 January 2020 through 12 September 2020. Associations of cardiometabolic risk factors with the outcome were assessed using logistic regression adjusted for age, sex, birthplace and education.

resultsMean (SD) age was 61.2 (4.5) and 51.5% were women. 69 participants experienced hospitalisation or death due to COVID-19. Examples of statistically significant associations between baseline factors and subsequent hospitalisation or death due to COVID-19 included overweight (adjusted OR (aOR) vs normal weight 2.73 (95% CI 1.25 to 5.94)), obesity (aOR vs normal weight 4.09 (95% CI 1.82 to 9.18)), pre-diabetes (aOR vs normoglycaemia 2.56 (95% CI 1.44 to 4.55)), diabetes (aOR vs normoglycaemia 3.96 (95% CI 2.13 to 7.36)), sedentary time (aOR per hour/day increase 1.10 (95% CI 1.02 to 1.17)), grade 2 hypertension (aOR vs normotension 2.44 (95% CI 1.10 to 5.44)) and high density lipoprotein cholesterol (aOR per mmol/L increase 0.33 (95% CI 0.17 to 0.65)). Statistically significant associations were not observed for grade 1 hypertension (aOR vs normotension 1.03 (95% CI 0.55 to 1.96)), current smoking (aOR 0.56 (95% CI 0.24 to 1.30)), total cholesterol (aOR per mmol/L increase 0.90 (95% CI 0.71 to 1.13)), low density lipoprotein cholesterol (aOR per mmol/L increase 0.90 (95% CI 0.69 to 1.15)) and coronary artery calcium score (aOR per 10 units increase 1.00 (95% CI 0.99 to 1.01)).

conclusionsIn a large population-based sample from the general population, several cardiometabolic risk factors were associated with hospitalisation or death due to COVID-19.

Indexed as

COVID-19Cardiometabolic Risk FactorsCohort StudiesFemaleHospitalizationHumansRisk FactorsSARS-CoV-2Swedencardiac epidemiologyCOVID-19epidemiology

Identifiers

PMID34475186
PMCPMC8413466

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.