Evidence map›Paper›PMID 38273338›Full record

ArticleEnvironmental health : a global access science source2024

Exploring the link between particulate matter pollution and acute respiratory infection risk in children using generalized estimating equations analysis: a robust statistical approach.

Mihir Adhikary, Piyasa Mal, Nandita Saikia

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
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  4. Association between PMArchives of public health = Archives belges de sante publique · 2026
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  6. Review
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  8. The association between PMAIMS public health · 2025
    Article
  9. Article
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  11. Air Quality Monitoring Using Low-Cost Sensors in Urban Areas of Jodhpur, Rajasthan.International journal of environmental research and public health · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Mihir AdhikaryDepartment of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India. mihiradhikary363rk@gmail.com.ORCID 0000-0002-3569-5151
Piyasa MalDepartment of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
Nandita SaikiaDepartment of Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, Maharashtra, India.
International Institute for Population Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndia is facing a burdensome public health challenge due to air pollution, with a particularly high burden of acute respiratory infections (ARI) among children. To address this issue, our study aims to evaluate the association between exposure to fine particulate matter (PM MATERIALS AND

methodsOur study used PM

resultsEach 10 µg/m

conclusionMitigation efforts must be continued implementing higher restrictions in India and to bring new interventions to ensure safe levels of air for reducing the burden of disease and mortality associated with air pollution in India.

Indexed as

Air PollutantsAir PollutionRespiratory Tract InfectionsChildChild, PreschoolEnvironmental ExposureHumansParticulate MatterAir PollutantsParticulate MatterAcute respiratory infectionAir pollutionAir pollution in IndiaChild ARIParticulate matterPollution and health

Identifiers

PMID38273338
PMCPMC10809452
OpenAlexW4391229040

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.