Evidence map›Paper›PMID 38166461›Full record

ArticleJournal of primary care & community health

Prevalence and Predictors of Post-Acute COVID-19 Symptoms in Italian Primary Care Patients.

Andreana Foresta, Luisa Ojeda-Fernández, Claudia Augurio, Cecilia Guanziroli, Mauro Tettamanti, Giulia Macaluso, Paolo Lauriola, Alessandro Nobili, Maria Carla Roncaglioni, Marta Baviera

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Andreana ForestaIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.ORCID 0000-0002-6971-1674
Luisa Ojeda-FernándezIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Claudia AugurioATS Brianza, Monza, Italy.
Cecilia GuanziroliASST Lariana, Como, Italy.
Mauro TettamantiIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Giulia MacalusoIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Paolo LauriolaInternational Society of Doctors for Environment (ISDE), Rete Italiana Medici Sentinella per l'Ambiente, Geneva, Switzerland.
Alessandro NobiliIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Maria Carla RoncaglioniIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Marta BavieraIstituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Mario Negri Institute for Pharmacological Research · ITAzienda Socio Sanitaria Territoriale Lariana · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite all the progress in the management of acute COVID-19, it is still not clear why some people continue to experience symptoms after recovery. Using data from a self-administered online survey, we assessed the prevalence and predictors of post-acute COVID-19 in an unselected population followed by GPs.

methodsPatients ≥18 years with a confirmed COVID-19 diagnosis were included. The survey collected information on demographics, risk factors, COVID-19 course and symptomatology. Fatigue and Quality of Life questionnaires were also administered. Descriptive statistics were used to describe patients' characteristics, stratified as acute and post-acute COVID-19. Logistic regression models were used to assess the association between clinical characteristics and post-acute COVID-19.

resultsA total of 1108 surveys were analyzed. Nearly 29% of patients reported post-acute COVID-19. The more persistent symptoms were fatigue, memory and concentration impairment. Adjusted Odds Ratio (OR) showed a significantly higher probability of post-acute COVID-19 for women compared to men (OR 1.9, 95% CI 1.4-2.5), for age >50 years than ≤50 years (OR 1.6, 95% CI 1.2-2.2), for BMI > 25 compared to BMI ≤ 25 (OR 1.6, 95% CI 1.1-2.1) and those with autoimmune diseases, compared to those without (OR 1.8 95% CI 1.1-2.9). In addition, a significant association was found with COVID-19 hospitalization, anxiety and allergies. We found that post-acute COVID-19 patients showed a higher fatigue and a worst quality of life.

conclusionsThese findings suggest the need for tailored personalized strategies to improve the management of patients with post-acute COVID-19.

Indexed as

COVID-19Post-Acute COVID-19 SyndromeCOVID-19 TestingFatigueFemaleHumansItalyMaleMiddle AgedPrevalencePrimary Health CareQuality of LifeCOVID-19general practicepost-acute COVID-19SARS-CoV-2survey

Identifiers

PMID38166461
PMCPMC10768628
OpenAlexW4390545041

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.