Evidence map›Paper›PMID 33680620›Full record

ArticleCureus2021

The COVID-19 Sequelae: A Cross-Sectional Evaluation of Post-recovery Symptoms and the Need for Rehabilitation of COVID-19 Survivors.

Ayman Iqbal, Kinza Iqbal, Shajeea Arshad Ali, Dua Azim, Eisha Farid, Mirza D Baig, Taha Bin Arif, Mohammad Raza

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 11 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

78 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  9. Cardiac sequelae after coronavirus disease 2019 recovery: a systematic review.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
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18 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

8 authors.

Ayman IqbalInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Kinza IqbalMedicine, Dow University of Health Sciences, Karachi, PAK.
Shajeea Arshad AliInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Dua AzimInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Eisha FaridMedicine, Dow University of Health Sciences, Karachi, PAK.
Mirza D BaigMedicine, Dow University of Health Sciences, Karachi, PAK.
Taha Bin ArifInternal Medicine, Dow University of Health Sciences, Karachi, PAK.
Mohammad RazaPediatric Medicine, The Indus Hospital, Karachi, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background  As of January 19, 2021, around two million fatalities and 68 million recoveries from coronavirus disease 2019 (COVID-19) have been reported around the globe. The past pandemics of severe acute respiratory syndrome (SARS) and the Middle East respiratory syndrome (MERS) hint toward a risk of occurrence of "Long-COVID" syndrome, i.e., the persistence of post-discharge symptoms among COVID-19 survivors. With the scarcity of literature addressing post-COVID-19 manifestations and little regard for the stigma associated with this disease, survivors' rehabilitation remains widely neglected. The current study aims to assess the prevalence and characteristics of post-COVID-19 manifestations and their effect on the quality of life (QoL) of COVID-19 recovered individuals. We have also analyzed the relationship of time since the recovery of COVID-19 and its severity with the post-discharge symptoms. The stigma affiliated with the infection of SARS coronavirus-2 (SARS-CoV-2) has also been highlighted. Methodology A descriptive, cross-sectional, questionnaire-based study was conducted from September 2020 to December 2020 among 158 COVID-19 recovered patients, whose information was obtained from Dow Diagnostic Laboratory, Ojha Campus, Karachi, Pakistan. The questionnaire consisted of four sections: sociodemographic data, post-COVID-19 manifestations, questions relating to the stigma, and the QoL of the recovered COVID-19 patients. We used the EuroQol five-dimension five-level questionnaire to assess the QoL, while the modified BG Prasad Socioeconomic Classification updated for 2019 was employed to determine the socioeconomic status of the participants. Data were analyzed using SPSS version 24.0 (IBM Corp., Armonk, NY, USA). Data were presented in the form of frequencies and percentages. Results An overwhelming majority (94.9%) experienced at least one post-COVID-19 symptom, with fatigue (82.9%) being the most prevalent post-discharge manifestation. We observed a significant correlation of post-COVID-19 symptoms with gender, age, and time since recovery. COVID-19 severity was found to be significantly related to the five dimensions of the QoL. A significant difference in EuroQol Visual Analog Scale health score was observed between the participants with mild, moderate, and severe COVID-19 infection (p < 0.001). Besides, the associated stigma with SARS-CoV-2 infection was found to be more prevalent in the participants belonging to the upper class as compared to the other classes (p < 0.05). Nonetheless, we also observed a significant association of disease severity with post-COVID-19 manifestations and pre-existing comorbidities. Conclusions The long-COVID syndrome is similar to the post-discharge manifestations of the survivors of prior pandemics of SARS and MERS. Multi-disciplinary rehabilitation teams, healthcare workers, and the general population should recognize the need for systematic assessment of their recovery and further rehabilitation.

Indexed as

covid-19disease severitylong-covidpost-covid-19 symptomsquality of life (qol)recoveryrehabilitationsars-cov-2stigma

Identifiers

PMID33680620
PMCPMC7932827

What OpenQuestion holds

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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.