Evidence map›Paper›PMID 35083602›Full record

Observational studyEuropean journal of epidemiology2022

Risk factors for COVID-19-related death, hospitalization and intensive care: a population-wide study of all inhabitants in Stockholm.

Maria-Pia Hergens, Max Bell, Per Haglund, Johan Sundström, Erik Lampa, Joanna Nederby-Öhd, Maria Rotzén Östlund, Thomas Cars

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in European journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

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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 5 institutions in 2 countries.

Maria-Pia HergensDepartment of Medicine Karolinska Solna, Unit of Infectious Diseases, Karolinska Institutet, Stockholm, Sweden. maria-pia.hergens@regionstockholm.se.
Max BellSection of Anaesthesiology and Intensive Care Medicine, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Per HaglundDepartment of Health Care Analysis and Statistics, Public Healthcare Services Committee, Stockholm Region, Sweden.
Johan SundströmDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Erik LampaDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Joanna Nederby-ÖhdDepartment of Communicable Disease Control and Prevention, Stockholm Region, Sweden.
Maria Rotzén ÖstlundDepartment of Medicine Karolinska Solna, Unit of Infectious Diseases, Karolinska Institutet, Stockholm, Sweden.
Thomas CarsDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Karolinska Institutet · SEUppsala University · SEKarolinska University Hospital · SEPublic Health Agency of Sweden · SEUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the Covid-19 pandemic, the scientific community has explored determinants of Covid 19 disease severity. However, the majority of studies are based on in-hospital patients with high risk of collider- or selection bias. The present investigation details risk factors associated with overall mortality, hospitalization and intensive care unit (ICU) admission in Covid-19 infections, with complete population coverage and high-resolution data on patient characteristics and comorbid conditions This population-based observational study comprises all residents 18 years and older in Stockholm Region-1.8 million inhabitants-using the real-time Covid-19 monitoring framework. The observation period lasted between March 1 to December 31, 2020. Hazard ratios (HR) for risk factors of Covid-19 disease severity were assessed using Cox proportional hazard models. In total, 3322 deaths, 11,508 hospitalizations and 1423 ICU-admissions related to Covid-19 occurred during the study period. Kidney failure, diabetes and obesity increased risk of mortality and so did heart failure and ischemic heart disease. However, atrial fibrillation and hypertension did not. Risk of hospitalization follow a similar pattern, whereas admission to intensive care differs; triage processes where clearly present as certain co-morbid conditions were associated with lower ICU admission. Observed differences in risk of mortality and hospitalization among patients with Covid 19 raise important questions about potentially protective comedication which will be further addressed using the real-time Covid-19 monitoring framework.

Indexed as

COVID-19Critical CareHospitalizationHospital MortalityHumansPandemicsRetrospective StudiesRisk FactorsSARS-CoV-2Covid 19EpidemiologyRisk factors

Identifiers

PMID35083602
PMCPMC8791671
OpenAlexW4221130352

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.