ReviewJMA journal2021
The Significance of Observing the Risk of Non-communicable Diseases after Large-scale Disasters and Communicable Disease Epidemics.
Review in JMA journal, 2021. 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, 7 citations in OpenAlex.
- Urgent Notification Intervention of Home Blood Pressure in Cohort Studies of the Tohoku Medical Megabank Project.JMA journal · 2024Article
- An Online Survey of the Perceptions of Clinical and Non-Clinical Professionals on Healthcare for Non-Communicable Diseases and COVID-19 Measures During the Pandemic in Malaysia.International journal of public health · 2023Article
- Exploring key-stakeholder perceptions on non-communicable disease care during the COVID-19 pandemic in Kenya.The Pan African medical journal · 2023Article
- The interface of COVID-19, diabetes, and depression.Discover mental health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-communicable diseases (NCDs) are a global challenge, accounting for 71% of all deaths worldwide. The spread of coronavirus disease 2019 (COVID-19) and past huge disasters have affected the prevention and treatment of NCDs and require urgent action. In this narrative review, I will discuss several reports on the risk of NCDs during past disasters and propose possible future directions. Hypertension, the most common NCD, carries a high risk of death due to cerebrovascular, renal, and other complications. Effective use of information and communication technology-based telemedicine is necessary to manage the risk of cardiovascular diseases during disasters and pandemics. We observed the cumulative incidence of metabolic syndrome in subjects from tsunami-affected areas. We found that moving into prefabricated temporary housing was a risk factor for a higher incidence of metabolic syndrome in elderly females. Our follow-up of 1,009 subjects showed a slight, but significant, increase in HbA1c values after a state of emergency was introduced, even though the lockdown was not as stringent as in other countries. In a study elucidating the prevalence of wheezing and eczema symptoms and the associated factors after the Great East Japan Earthquake, psychological effects, such as depression and self-reported posttraumatic stress disorder, were observed, particularly in people with allergic diseases. In recent years, new birth cohort studies have been initiated to complement the studies designed to collect information across multiple generations, such as the Lifelines study in the Netherlands and the Avon Longitudinal Study of Parents and Children (ALSPAC) study in the UK. It is desirable to assess the effects of COVID-19 to complement the existing cohort studies in Japan as well.
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.