Evidence map›Paper›PMID 34463956›Full record

SynthesisJournal of medical virology2022

Post-acute COVID-19 syndrome (PCS) and health-related quality of life (HRQoL)-A systematic review and meta-analysis.

Preeti Malik, Karan Patel, Candida Pinto, Richa Jaiswal, Raghavendra Tirupathi, Shreejith Pillai, Urvish Patel

Registry-linked trialOpen access · bronzeAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05381727 (Investigation of Oxygen Consumption Chronotropic Response and Physical Activity Level in Patients With Post COVID-19), which is not on this map. Cited by 368 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
368citing papers in PubMed, 6 pooled it
57.7field-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.

NCT05381727 completednot on this map

Investigation of Oxygen Consumption Chronotropic Response and Physical Activity Level in Patients With Post COVID-19

TypeobservationalSponsorGazi UniversityRan2022 to 2024Enrolled50ConditionsCOVID-19
3 · Its place in the literature

Who cites it

368 citing papers in PubMed, 6 syntheses or guidelines pooled it, 657 citations in OpenAlex.

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  15. A digital intervention for cognitive deficits following COVID-19: a randomized clinical trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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308 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 4 institutions in 1 country.

Preeti MalikDepartment of Public Health, Icahn school of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-9427-0225
Karan PatelDepartment of Medicine, Cooper Medical School of Rowan University, Camden, New Jersey, USA.
Candida PintoDepartment of Public Health, Icahn school of Medicine at Mount Sinai, New York, New York, USA.
Richa JaiswalDepartment of Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, USA.
Raghavendra TirupathiDepartment of Internal Medicine, Keystone Health, Chambersburg, Pennsylvania, USA.
Shreejith PillaiDepartment of Internal Medicine, Henry Ford Health System, Detroit, Michigan, USA.
Urvish PatelDepartment of Public Health, Icahn school of Medicine at Mount Sinai, New York, New York, USA.
Icahn School of Medicine at Mount Sinai · USCooper Medical School of Rowan University · USHenry Ford Health System · USMedical University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an established literature on the symptoms and complications of COVID-19 but the after-effects of COVID-19 are not well understood with few studies reporting persistent symptoms and quality of life. We aim to evaluate the pooled prevalence of poor quality of life in post-acute COVID-19 syndrome (PCS) and conducted meta-regression to evaluate the effects of persistent symptoms and intensive care unit (ICU) admission on the poor quality of life. We extracted data from observational studies describing persistent symptoms and quality of life in post-COVID-19 patients from March 10, 2020, to March 10, 2021, following PRISMA guidelines with a consensus of two independent reviewers. We calculated the pooled prevalence with 95% confidence interval (CI) and created forest plots using random-effects models. A total of 12 studies with 4828 PCS patients were included. We found that amongst PCS patients, the pooled prevalence of poor quality of life (EQ-VAS) was (59%; 95% CI: 42%-75%). Based on individual factors in the EQ-5D-5L questionnaire, the prevalence of mobility was (36, 10-67), personal care (8, 1-21), usual quality (28, 2-65), pain/discomfort (42, 28-55), and anxiety/depression (38, 19-58). The prevalence of persistent symptoms was fatigue (64, 54-73), dyspnea (39.5, 20-60), anosmia (20, 15-24), arthralgia (24.3, 14-36), headache (21, 3-47), sleep disturbances (47, 7-89), and mental health (14.5, 4-29). Meta-regression analysis showed the poor quality of life was significantly higher among post-COVID-19 patients with ICU admission (p = 0.004) and fatigue (p = 0.0015). Our study concludes that PCS is associated with poor quality of life, persistent symptoms including fatigue, dyspnea, anosmia, sleep disturbances, and worse mental health. This suggests that we need more research on PCS patients to understand the risk factors causing it and eventually leading to poor quality of life.

Indexed as

Quality of LifeAdultAge FactorsCOVID-19FemaleHumansIntensive Care UnitsMaleMiddle AgedPost-Acute COVID-19 Syndromehealth-related quality of lifelong COVID-19persistent symptomspost-acute COVID-19 syndromepost-COVID syndrome

Identifiers

PMID34463956
PMCPMC8662132
OpenAlexW3196688992

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.