Evidence map›Paper›PMID 37992084›Full record

ArticlePloS one2023

Association between long COVID and vaccination: A 12-month follow-up study in a low- to middle-income country.

Samar Fatima, Madiha Ismail, Taymmia Ejaz, Zarnain Shah, Summaya Fatima, Mohammad Shahzaib, Hassan Masood Jafri

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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.

Samar FatimaSection of Internal Medicine, Department of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Madiha IsmailDepartment of Emergency Medicine, Aga Khan University Hospital, Karachi, Pakistan.ORCID 0000-0002-3984-6818
Taymmia EjazSection of Internal Medicine, Department of Medicine, Aga Khan University Hospital, Karachi, Pakistan.ORCID 0000-0001-8748-8763
Zarnain ShahSection of Internal Medicine, Department of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Summaya FatimaSection of Internal Medicine, Department of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Mohammad ShahzaibSection of Internal Medicine, Department of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Hassan Masood JafriDepartment of Emergency Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Aga Khan University Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is a lack of estimates regarding the at-risk population associated with long COVID in Pakistan due to the absence of prospective longitudinal studies. This study aimed to determine the prevalence of long COVID and its association with disease severity and vaccination status of the patient. DESIGN AND DATA SOURCES: This prospective cohort study was conducted at the Aga Khan University Hospital and recruited patients aged > 18 years who were admitted between February 1 and June 7, 2021. During this time, 901 individuals were admitted, after excluding patients with missing data, a total of 481 confirmed cases were enrolled.

resultsThe mean age of the study population was 56.9±14.3 years. Among patients with known vaccination status (n = 474), 19%(n = 90) and 19.2%(n = 91) were fully and partially vaccinated, respectively. Severe/critical disease was present in 64%(n = 312). The mortality rate following discharge was 4.58%(n = 22). Around 18.9%(n = 91) of the population required readmission to the hospital, with respiratory failure (31.8%, n = 29) as the leading cause. Long COVID symptoms were present in 29.9%(n = 144), and these symptoms were more prevalent in the severe/critical (35.5%, n = 111) and unvaccinated (37.9%, n = 105) cohort. The most prominent symptoms were fatigue (26.2%, n = 126) and shortness of breath (24.1%, n = 116), followed by cough (15.2%, n = 73). Vaccinated as compared to unvaccinated patients had lower readmissions (13.8% vs. 21.51%) and post-COVID pulmonary complications (15.4% vs. 24.2%). On multivariable analysis, after adjusting for age, gender, co-morbidity, and disease severity, lack of vaccination was found to be an independent predictor of long COVID with an Odds ratio of 2.42(95% CI 1.52-3.84). Fully and partially vaccinated patients had 62% and 56% reduced risk of developing long COVID respectively.

conclusionsThis study reports that the patients continued to have debilitating symptoms related to long COVID, one year after discharge, and most of its effects were observed in patients with severe/critical disease and unvaccinated patients.

Indexed as

COVID-19AdultAgedFollow-Up StudiesHospitals, UniversityHumansMiddle AgedPost-Acute COVID-19 SyndromeProspective StudiesVaccination

Identifiers

PMID37992084
PMCPMC10664948
OpenAlexW4388894631

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.