Evidence map›Paper›PMID 38693500›Full record

ArticleBMC infectious diseases2024

Incidence and risk factors of post COVID-19 syndrome: a Tunisian cohort study.

Imen Zemni, Amel Gara, Cyrine Bennasrallah, Salma Ezzar, Meriem Kacem, Roua Chokri, Amani Maatouk, Hela Abroug, Wafa Dhouib, Manel Ben Fredj and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

12 authors at 2 institutions in 1 country.

Imen ZemniDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia. imen11zemni@gmail.com.
Amel GaraDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Cyrine BennasrallahDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Salma EzzarDepartment of Family Medicine, Faculty of Medicine of Monastir, Monastir, Tunisia.
Meriem KacemDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Roua ChokriDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Amani MaatoukDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Hela AbrougDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Wafa DhouibDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Manel Ben FredjDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Ines BouaneneDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Asma Sriha BelguithDepartment of Epidemiology and Preventive Medicine, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
University of Monastir · TNHospital Fatuma Bourguiba Monastir · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has become increasingly clear that SARS-CoV-2 infection can lead to persistent physical and mental health problems lasting weeks or months, requiring prolonged periods of clinical care and increasing the burden on the healthcare system. This phenomenon, known as post COVID-19 syndrome (PCS), is a relatively new condition, its incidence is still unclear and differs between studies.

objectivesIn this cohort study, we aimed to estimate the incidence of PCS and to identify its risk factors in the Tunisian population.

methodsThis is a prospective cohort study that enrolled patients diagnosed with COVID-19 from the triage unit of the University Hospital of Monastir, Tunisia. between April 2021 and June 2022. Patients were contacted by phone for a follow-up evaluation of PCS 12- weeks after the diagnosis date.

resultsA total of 1451 individuals diagnosed with COVID-19 during the study period, responded to the follow-up evaluation after 3 months. The incidence of PCS was found to be 44.03% (95% CI [41.47; 46.58]), with fatigue being the most common symptom (21.5%), followed by cognitive impairment (10.3%), including memory loss and difficulty concentrating. Multivariate analysis revealed that the main associated factors to PCS were female gender (RR = 1.54; CI95% [1.30 - 1.82]), pre-existing comorbidities (RR = 1.30; CI95% [1.10 - 1.52]), duration of acute COVID-19 illness (days) (RR = 1.02; CI95% [1.01 - 1.03]), hospitalization (RR = 1.27; CI95% [1.05 - 1.53]), number of COVID-19 episodes (RR = 1.46; CI 95% [1.28 - 1.67]) and patients having receive two or more doses of vaccine prior to COVID-19 infection (RR = 0.82; CI95% [0.70 - 0.96]).

conclusionOur study allowed to estimate the incidence and identify risk factors of PCS. Recognizing these factors could help to better understand the underlying mechanisms and guide interventions for prevention and management of this condition.

Indexed as

COVID-19Post-Acute COVID-19 SyndromeSARS-CoV-2AdultAgedCognitive DysfunctionCohort StudiesFatigueFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsTunisiaIncidencePost-acute COVID-19 syndromeProspective studiesRisk factorsTunisia

Identifiers

PMID38693500
PMCPMC11064346
OpenAlexW4396546044

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.