Evidence map›Paper›PMID 38680936›Full record

ArticleFrontiers in public health2024

Post-COVID-19 syndrome, who at risk and why: an insight from Qatar 2022.

Nada Adli, Mohamed Bala, Mohamed Iheb Bougmiza, Mohamed Ghaith Al-Kuwari, Abdul Hameed Al-Khenji, Nagah Selim

Abstract read
In one paragraph

Article in Frontiers in public health, 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
–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

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

  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

6 authors.

Nada AdliSpecialist of Community and Preventive Medicine, Department of Community and Preventive Medicine, Hamad Medical Corporation (HMC), Doha, Qatar.
Mohamed BalaSpecialist of Community and Preventive Medicine, Department of Wellness Program, Primary Health Care Corporation (PHCC), Doha, Qatar.
Mohamed Iheb BougmizaCommunity and Preventive Medicine Department, Primary Health Care Corporation (PHCC), Doha, Qatar.
Mohamed Ghaith Al-KuwariSenior Consultant of Community and Preventive Medicine, Primary Health Care Corporation (PHCC), Doha, Qatar.
Abdul Hameed Al-KhenjiSenior Consultant of Community and Preventive Medicine, Primary Health Care Corporation (PHCC), Doha, Qatar.
Nagah SelimCommunity and Preventive Medicine Department, Primary Health Care Corporation (PHCC), Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the recovery from the COVID-19 pandemic, many people experience post-COVID-19 syndrome, which negatively impacts their health and function. This condition has become a significant public health problem that requires immediate attention. Objective: To study the prevalence, clinical characteristics, and predictors of post-COVID-19 Syndrome in Qatar during 2022. Methods: An analytic cross-sectional study was conducted among COVID-19 confirmed cases from January 2022 to July 2022 in Qatar. A simple random sample was employed to include ( Results: Out of 368, the prevalence of post-COVID-19 syndrome was 43.2% ( Conclusion: Post-COVID-19 syndrome may go under-recognized. More efforts are needed to raise awareness and mobilize the resources to respond to this ongoing public health problem.

Indexed as

COVID-19AdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromePrevalenceQatarRisk FactorsSARS-CoV-2Social SupportSurveys and Questionnairesadultspersistent symptomspost-COVID-19 syndromeprevalenceQatar

Identifiers

PMID38680936
PMCPMC11048960

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.