Evidence map›Paper›PMID 35329867›Full record

ReviewJournal of clinical medicine2022

Prognostic Factors for Post-COVID-19 Syndrome: A Systematic Review and Meta-Analysis.

Giuseppe Maglietta, Francesca Diodati, Matteo Puntoni, Silvia Lazzarelli, Barbara Marcomini, Laura Patrizi, Caterina Caminiti

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 9 pooled it
24.5field-weighted citation impact, top 1% 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

110 citing papers in PubMed, 9 syntheses or guidelines pooled it, 202 citations in OpenAlex.

  1. Global prevalence of post-COVID-19 condition: a systematic review and meta-analysis of prospective evidence.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025
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  19. Bridging Gaps in Long COVID Therapy: A Review.Current medicinal chemistry · 2026
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50 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Giuseppe MagliettaClinical and Epidemiological Research Unit, University Hospital of Parma, University of Parma, 43126 Parma, Italy.ORCID 0000-0003-4497-1872
Francesca DiodatiClinical and Epidemiological Research Unit, University Hospital of Parma, University of Parma, 43126 Parma, Italy.ORCID 0000-0002-6372-225X
Matteo PuntoniClinical and Epidemiological Research Unit, University Hospital of Parma, University of Parma, 43126 Parma, Italy.ORCID 0000-0002-7908-0626
Silvia LazzarelliClinical and Epidemiological Research Unit, University Hospital of Parma, University of Parma, 43126 Parma, Italy.
Barbara MarcominiClinical and Epidemiological Research Unit, University Hospital of Parma, University of Parma, 43126 Parma, Italy.
Laura PatriziClinical and Epidemiological Research Unit, University Hospital of Parma, University of Parma, 43126 Parma, Italy.
Caterina CaminitiClinical and Epidemiological Research Unit, University Hospital of Parma, University of Parma, 43126 Parma, Italy.ORCID 0000-0002-3196-2435
University of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence shows that a substantial proportion of patients with COVID-19 experiences long-term consequences of the disease, but the predisposing factors are poorly understood. We conducted a systematic review and meta-analysis to identify factors present during COVID-19 hospitalization associated with an increased risk of exhibiting new or persisting symptoms (Post-COVID-19 Syndrome, PCS). MedLine and WebOfScience were last searched on 30 September 2021. We included English language clinical trials and observational studies investigating prognostic factors for PCS in adults previously hospitalized for COVID-19, reporting at least one individual prospective follow-up of minimum 12 weeks. Two authors independently assessed risk of bias, which was judged generally moderate. Risk factors were included in the analysis if their association with PCS was investigated by at least two studies. To summarize the prognostic effect of each factor (or group of factors), odds ratios were estimated using raw data. Overall, 20 articles met the inclusion criteria, involving 13,340 patients. Associations were statistically significant for two factors: female sex with any symptoms (OR 1.52; 95% CI 1.27-1.82), with mental health symptoms (OR 1.67, 95% CI 1.21-2.29) and with fatigue (OR 1.54, 95% CI 1.32-1.79); acute disease severity with respiratory symptoms (OR 1.66, 95% CI 1.03-2.68). The I² statistics tests were calculated to quantify the degree of study heterogeneity. This is the first meta-analysis measuring the association between factors present during COVID-19 hospitalization and long-term sequelae. The role of female sex and acute disease severity as independent prognostic factors must be confirmed in robust longitudinal studies with longer follow-up. Identifying populations at greatest risk for PCS can enable the development of targeted prevention and management strategies. Systematic review registration: PROSPERO CRD42021253467.

Indexed as

long COVIDmeta-analysispost-COVID-19 syndromeprognostic factorsrisk factors

Identifiers

PMID35329867
PMCPMC8948827
OpenAlexW4221052525

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.