ArticleHealth science reports2023
Burden and risk factors of chronic respiratory diseases in Nepal, 1990-2019: An analysis of the global burden of diseases study.
Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 5 citations in OpenAlex.
- Assessment of Potential Drug-Drug Interactions and Associated Factors Among Pulmonary Inpatients in a Tertiary Care Hospital: A Cross-Sectional Study.Drugs - real world outcomes · 2026Article
- Chronic obstructive pulmonary disease (COPD) literacy among traffic police in Kathmandu, Nepal: A cross-sectional study.Medicine · 2026Article
- Global, regional, and national burden and attributable risk factors of chronic respiratory diseases from 1990 to 2021 and projections to 2030.Internal and emergency medicine · 2025Article
- Mapping the Global distribution, risk factors, and temporal trends of COPD incidence and mortality (1990-2021): ecological analysis.BMC medicine · 2025Article
- COPD Exacerbation: Why It Is Important to Avoid ICU Admission.Journal of clinical medicine · 2023Review
- Burden and risk factors of chronic respiratory diseases in Nepal, 1990-2019: An analysis of the global burden of diseases study.Health science reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Chronic respiratory diseases (CRDs) substantially contribute to morbidity and mortality globally and in Nepal. However, there is a paucity of evidence on the trend and the burden of CRDs in Nepal. This study reports the trend of the burden and contribution of major risk factors to CRDs in Nepal from 1990 to 2019. Methods: This study is an observational study using publicly available data from Global Burden of Disease 2019 estimations for Nepal. The age-standardized and age-specific prevalence, incidence, mortality, disability-adjusted life years (DALYs), and risk factors for CRDs in Nepal were extracted to measure the burden and its trend. The data are presented as percentages or as rates per 100,000 population. Results: The age-standardized incidence rate of CRDs in Nepal in 2019 was 913.6 per 100,000 (95% uncertainty interval [UI]: 828.7-1000.1), which was an increase of 7.7% from 848.6 per 100,000 (95% UI: 780.2-918.2) in 1990. However, the age-standardized prevalence rate [4453/100,000 (4234.2-4671.8) in 1990; 4457.1/100,000 (4255.2-4666.8) in 2019] was almost stagnant. Most CRDs attributed to deaths and DALYs were due to chronic obstructive pulmonary disease. Conclusions: Air pollution and smoking are the main risk factors for DALYs due to CRDs in Nepal. This surging burden of the incidence rate of CRDs in Nepal calls for more effective actions to curb the risk factors and diseases.
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.