ArticleGerontology & geriatric medicine
Emergency Medical Service in the Elderly Population in Iran: A Cross-sectional Study Before and During the COVID-19 Pandemic.
Article in Gerontology & geriatric medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- Prevalence and risk factors of abuse among older adults registered with health centers in Southern Tehran: a population-based study.Aging clinical and experimental research · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This research examines the impact of an aging population in Eastern Iran on prehospital emergency medical services (EMS), with a focus on changes before and during the COVID-19 pandemic. A descriptive cross-sectional analysis was performed on data from 10,264 elderly individuals using EMS in Torbat-e Heydarieh County from March 2019 to March 2022. Statistical analyses, including t-tests and Chi-square tests, were conducted using SPSS software. Findings indicate that 30% of the 33,847 EMS calls received were from older adults. The nature of emergencies evolved from cardiovascular issues pre-pandemic to predominantly impaired consciousness during COVID-19, a statistically significant shift (
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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 Socratic graph.