Evidence mapPaperPMID 42215745Full record

ArticleJournal of exposure science & environmental epidemiology2026

Disparity in non-communicable disease burden attributable to ambient PM

Debajit Sarkar, Alok Kumar, Fahad Imam, Santu Ghosh, Sagnik Dey

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Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from 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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Debajit SarkarCentre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India.
Alok KumarCentre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India.
Fahad ImamCentre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India.
Santu GhoshSt. John's Medical College, Bengaluru, India.
Sagnik DeyCentre for Atmospheric Sciences, Indian Institute of Technology Delhi, New Delhi, India. sagnik@cas.iitd.ac.in.ORCID http://orcid.org/0000-0002-0604-0869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmbient fine particulate matter (PM

objectiveThe main aim of this work is to address this gap by examining how the ambient PM

methodsUsing nationally representative socio-demographic and health information from the National Family Health Survey (NFHS-4 and NFHS-5), covering approximately 1.49 million individuals aged 15-49 years, we employed a hierarchical logistic mixed-effects model to estimate associations between satellite-derived ambient PM

resultsThe associations between PM SIGNIFICANCE: Our findings underscore the need for equity-focused policies targeting vulnerable subgroups to reduce disparities in environmental health burdens in India. IMPACT: This study quantifies socio-demographic disparities in ambient PM

Indexed as

Ambient PM2.5Demographic subgroupsDisparityIndiaNon-communicable disease burden

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What Socratic holds

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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.