ArticleBMJ open diabetes research & care2023
PM
Article in BMJ open diabetes research & care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Epidemiological and mechanistic links between PMFrontiers in endocrinology · 2025Pooled it
- Impacting lives of people with diabetes: lessons learnt in India may be applicable to other low- and middle-income countries.Diabetologia · 2026Review
- Long Term Exposure to Ambient Particulate MatterKidney international reports · 2026Article
- Climate Change and Diabetes Outcomes: Evidence from Climate-Vulnerable Regions.Current diabetes reports · 2026Review
- IGFBP3 repression driven by inflammation links air pollution to placental and developmental defects.EMBO molecular medicine · 2026Article
- Ecological associations between ambient air pollution, gut microbiome composition, and metabolic markers in urban populations of central India.Frontiers in public health · 2026Article
- Association of PM2.5 exposure with 10-year atherosclerotic cardiovascular disease risk: a mediation analysis of blood and urinary biomarkers.Frontiers in public health · 2026Article
- Management of metabolic dysfunction-associated steatotic liver disease (MASLD)-An expert consensus statement from Indian diabetologists' perspective.Diabetes, obesity & metabolism · 2025Review
- Lessons Learned From Epidemiology of Type 2 Diabetes in South Asians: Kelly West Award Lecture 2024.Diabetes care · 2025Article
- Nationwide analysis of air pollution hotspots across India: A spatiotemporal PMEnvironmental research · 2025Article
- Article
- Urban-Rural Differences in the Prevalence of Diabetes Among Adults in Haryana, India: The ICMR-INDIAB Study (ICMR-INDIAB-18).Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024Article
- PMToxics · 2024Article
- Nationwide estimation of daily ambient PMPNAS nexus · 2024Article
- A review of air pollution as a driver of cardiovascular disease risk across the diabetes spectrum.Frontiers in endocrinology · 2024Review
- Global Warming and Endocrinology: The Hyderabad Declaration of the South Asian Federation of Endocrine Societies.Indian journal of endocrinology and metabolismArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
introductionExposure to fine particulate matter has been associated with several cardiovascular and cardiometabolic diseases. However, such evidence mostly originates from low-pollution settings or cross-sectional studies, thus necessitating evidence from regions with high air pollution levels, such as India, where the burden of non-communicable diseases is high. RESEARCH DESIGN AND
methodsWe studied the associations between ambient PM
resultsWe observed that 10 μg/m
conclusionsWe observed evidence of temporal association between PM
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.