Evidence map›Paper›PMID 40003393›Full record

ArticleInternational journal of environmental research and public health2025

SARS-CoV-2 Infection and the Risk of New Chronic Conditions: Insights from a Longitudinal Population-Based Study.

David De Ridder, Anshu Uppal, Serguei Rouzinov, Julien Lamour, María-Eugenia Zaballa, Hélène Baysson, Stéphane Joost, Silvia Stringhini, Idris Guessous, Mayssam Nehme and 1 more

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Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

11 authors.

David De RidderGeographic Information Research and Analysis in Population Health (GIRAPH) Lab, Department of Community Health and Medicine, Faculty of Medicine, 1205 Geneva, Switzerland.ORCID 0000-0001-6462-2501
Anshu UppalUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.
Serguei RouzinovUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.
Julien LamourUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.ORCID 0000-0003-3129-1974
María-Eugenia ZaballaUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.
Hélène BayssonUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.
Stéphane JoostGeographic Information Research and Analysis in Population Health (GIRAPH) Lab, Department of Community Health and Medicine, Faculty of Medicine, 1205 Geneva, Switzerland.ORCID 0000-0002-1184-7501
Silvia StringhiniUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.
Idris GuessousGeographic Information Research and Analysis in Population Health (GIRAPH) Lab, Department of Community Health and Medicine, Faculty of Medicine, 1205 Geneva, Switzerland.
Mayssam NehmeUnit of Population Epidemiology, Division of Primary Care Medicine, Geneva University Hospitals, 1205 Geneva, Switzerland.
Specchio-COVID19 Study Group

Funding

Corona Immunitas Research Program xxxFondation des Grangettes xxxGeneral Directorate of Health of the Department of Safety, Employment and Health of the canton of Geneva xxxPrivate Foundation of the Geneva University Hospitals xxxSwiss Federal Office of Public Health xxx
6 · The paper itself

Abstract

backgroundThe post-acute impact of SARS-CoV-2 infections on chronic conditions remains poorly understood, particularly in general populations.

objectivesOur primary aim was to assess the association between SARS-CoV-2 infections and new diagnoses of chronic conditions. Our two secondary aims were to explore geographic variations in this association and to assess the association between SARS-CoV-2 infections and the exacerbation of pre-existing conditions.

methodsThis longitudinal study used data from 8086 participants of the Specchio-COVID-19 cohort in the canton of Geneva, Switzerland (2021-2023). Mixed-effects logistic regressions and geographically weighted regressions adjusted for sociodemographic, socioeconomic, and healthcare access covariates were used to analyze self-reported SARS-CoV-2 infections, new diagnoses of chronic conditions, and the exacerbation of pre-existing ones.

resultsParticipants reporting a SARS-CoV-2 infection were more likely to be diagnosed with a new chronic condition compared to those who did not report an infection (adjusted odds ratio [aOR] = 2.15, 95% CI 1.43-3.23, adjusted

conclusionsThese findings contribute to understanding COVID-19's post-acute impact on chronic conditions, highlighting the need for targeted health management approaches and calling for tailored public health strategies to address the pandemic's long-term effects.

Indexed as

COVID-19AdultAgedChronic DiseaseFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsSARS-CoV-2Switzerlandchronic conditionsgeographically weighted regressionmixed level modelingSARS-CoV-2sociodemographic determinantsspatio-temporal analysis

Identifiers

PMID40003393
PMCPMC11855532

What Socratic 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 Socratic graph.