Evidence map›Paper›PMID 34422503›Full record

ArticleCureus2021

Prevalence, Pattern and Functional Outcome of Post COVID-19 Syndrome in Older Adults.

Sathyamurthy P, Sudha Madhavan, Viswanathan Pandurangan

Open access · diamondAbstract 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 22 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 7 pooled it
4.5field-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

22 citing papers in PubMed, 7 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. SARS-CoV-2 post-acute sequelae in previously hospitalised patients: systematic literature review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2023
    Pooled it
  4. Pooled it
  5. Prevalence, risk factors and treatments for post-COVID-19 breathlessness: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2022
    Pooled it
  6. Pooled it
  7. Prevalence of post-acute COVID-19 syndrome symptoms at different follow-up periods: a systematic review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Pooled it
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Review
  13. Article
  14. Long COVID syndrome: An unfolding enigma.The Indian journal of medical research · 2024
    Review
  15. Article
  16. Systematic Review of the Prevalence of Long COVID.Open forum infectious diseases · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Post-COVID-19 functional limitations in hospitalized patients and associated risk factors: A 3-month follow-up study.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2022
    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

3 authors at 1 institution in 1 country.

Sathyamurthy PInternal Medicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Sudha MadhavanInternal Medicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Viswanathan PanduranganInternal Medicine, Sri Ramachandra Institute of Higher Education and Research, Chennai, IND.
Sri Ramachandra Institute of Higher Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction COVID-19 pandemic has been shown to produce high infection rates, significant morbidity and mortality among older adults. A significant proportion of people who have recovered from acute COVID-19 illness seem to suffer from post COVID-19 syndrome. Post COVID-19 syndrome is thought to be a multisystem disease involving physical, functional, mental and psychological domains. This analysis tries to estimate the prevalence, pattern and functional outcomes of post COVID-19 syndrome in hospitalized older adults. Methods A prospective cohort study was done on 279 older adults who were discharged from our centre between August 1st, 2020 and November 30th 2020. Information was collected through a telephonic interview after 90 days of discharge from the hospital using a standard questionnaire by a trained physician. Collected data were analyzed with IBM SPSS Statistics for Windows, Version 23.0 (IBM Corp., Armonk, NY). Results After 90 days of recovery, the most common symptoms prevalent in the study population were fatigue (8.9%) followed by cough (4.3%), breathlessness (1.8%), dizziness (1.4%), myalgia (1.1%), loss of smell and taste (0.8%) and chest discomfort (0.7%). The prevalence of risk of anxiety in the study population after 90 days of recovery was 7.5% while that of risk of depression was 12.2%. After 90 days of recovery, 66 (23.6%) patients reported the presence of at least one clinical feature while 9.3% had two or more clinical features. On comparing the mean activities of daily living (ADL) 5.58 (.795) and mean instrumental activities of daily living (IADL) 5.84 (1.49) before the illness and 90 days following recovery there was no statistical difference for the study population. Conclusion The prevalence of post COVID-19 syndrome in older adults is about 9.3%. The most common symptoms reported by older adults after 90 days following recovery were fatigue followed by cough and breathlessness. Most older adults retained their baseline functional status after 90 days of recovery from acute COVID-19.

Indexed as

anxietycovid-19depressionelderlyolder adultspostcovid syndrome

Identifiers

PMID34422503
PMCPMC8369971
OpenAlexW3193688944

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.