ReviewAge and ageing2020
Respiratory epidemics and older people.
Review in Age and ageing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- The correlation between pain and intrinsic capacity in older patients with chronic diseases: a cross-sectional study.Frontiers in public health · 2026Article
- Predictive Factors of Anxiety, Depression, and Health-Related Quality of Life in Community-Dwelling and Institutionalized Elderly during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Determinants of SARS-CoV-2 Infection in the Older Adult Population: Data from the LOST in Lombardia Study.Vaccines · 2022Article
- Morbidities Worsening Index to Sleep in the Older Adults During COVID-19: Potential Moderators.Frontiers in psychology · 2022Article
- Telehealth Use in Geriatrics Care during the COVID-19 Pandemic-A Scoping Review and Evidence Synthesis.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Coronavirus disease 2019 (COVID-19) has been particularly severe on older people. Past coronavirus epidemics namely Severe Acute Respiratory Syndrome and the Middle East Respiratory Syndrome have also been severe on older people. These epidemics lasted for only a limited period, however, and have proven short lived in the memories of both the public and public health systems. No lessons were learnt to mitigate the impact of future epidemics of such nature, on older people. This complacency we feel has claimed the lives of many older people during the current COVID-19 global epidemic. The nature of risks associated with acquiring infections and associated mortality among older people in respiratory epidemic situations are varied and of serious concern. Our commentary identifies demographic, biological, behavioural, social and healthcare-related determinants, which increase the vulnerability of older people to respiratory epidemics. We acknowledge that these determinants will likely vary between older people in high- and low-middle income countries. Notwithstanding these variations, we call for urgent action to mitigate the impact of epidemics on older people and preserve their health and dignity. Intersectoral programmes that recognise the special needs of older people and in unique contexts such as care homes must be developed and implemented, with the full participation and agreement of older people. COVID-19 has created upheaval, challenging humanity and threatening the lives, rights, and well-being of older people. We must ensure that we remain an age-friendly society and make the world a better place for all including older people.
Indexed as
Identifiers
What OpenQuestion holds
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.