ArticleGeorgian medical news2020
THE CRITICAL NEED FOR ENHANCING THE RESEARCH CAPACITY REGARDING THE INTERSECTION OF AIR POLLUTION AND NON-COMMUNICABLE DISEASES IN GEORGIA.
Article in Georgian medical news, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Evaluating a Research Training Program in Environmental Health and Noncommunicable Diseases in Georgia.International journal of environmental research and public health · 2025Article
- Syndemics of Antimicrobial Resistance: Non-communicable Diseases, Social Deprivation, and the Rise of Multidrug-Resistant Infections.Infectious diseases and therapy · 2025Article
- Research Capacity Training on Environmental Health and Noncommunicable Diseases in the Country of Georgia: Challenges and Lessons Learned during the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- A bibliometric and visualized analysis of research progress and frontiers on health effects caused by PMEnvironmental science and pollution research international · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Globally, 7 million deaths are attributable to the joint effects of indoor and ambient air pollution annually, with ~94% occurring in low- and middle-income countries (LMICs). While 51% of cities in high-income countries with ≥100,000 residents meet WHO air quality guidelines, only 3% of such cities in LMICs meet them. In the country of Georgia, adverse environmental exposures cause 21% of disease burden and 25% of deaths,including30% of disease burden and 14% of deaths among children. According to 2016 WHO data, Georgia's mortality index attributed to ambient and indoor air pollution was 204.9, the 3rd highest in the world. Indoor air pollution is largely a result of indoor cooking/heating using solid fuel and second hand smoke (SHS). Worldwide, 40% of children, 35% of female nonsmokers, and 33% of male nonsmokers are exposed to SHS. Annually, SHS exposure causes ~600,000 deaths (1% of mortality), with half of those deaths in women and over a quarter in children. LMICs are disproportionately impacted by SHS and related morbidity and mortality. In Georgia, the smoking prevalence is 58% in men (6th highest in the world) and 6% in women. Moreover, prior research found that 30% of Georgian adults were exposed the SHS in the past week in public places and 54% at home; 42% reported daily exposure. Georgia's 2017-2021 National Environment and Health Action Planhighlights that addressing air pollution is among the most prominent public health priorities. However, there is limited in-country capacity to conduct research regarding the impact of such environmental hazards on health. Thus, efforts must enhance such research capacity in order to reduce air pollution and its effects on health.
Indexed as
Identifiers
32535585PMC7894988What 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.