Evidence map›Paper›PMID 39345043›Full record

ReviewFuture microbiology2024

Air pollution, dysbiosis and diseases: pneumonia, asthma, COPD, lung cancer and irritable bowel syndrome.

Shelja Agarwal, Nandini Tomar, Meet Makwana, Sandeep Patra, Balu A Chopade, Vandana Gupta

Abstract readReview
In one paragraph

Review in Future microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Shelja AgarwalDepartment of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India.ORCID 0009-0007-6859-6903
Nandini TomarDepartment of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India.
Meet MakwanaDepartment of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India.ORCID 0009-0007-3456-249X
Sandeep PatraDepartment of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India.ORCID 0000-0001-7572-2364
Balu A ChopadeAKS University, Satna, Madhya Pradesh, India.ORCID 0000-0003-3610-2917
Vandana GuptaDepartment of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India.ORCID 0000-0003-4785-5615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With substantial effects on human health, air pollution has become a major global concern. Air pollution has been linked to numerous gastrointestinal and respiratory diseases with increasing mortalities. The gut and respiratory dysbiosis brought about by air pollution has recently received much attention. This review attempts to provide an overview of the types of air pollutants, their sources, their impact on the respiratory and gut dysbiotic patterns and their correlation with five major diseases including pneumonia, asthma, COPD, lung cancer and irritable bowel syndrome. Deeper insights into the links between pollutants, dysbiosis and disease may pave the way for novel diagnostic biomarkers for prognosis and early detection of these diseases, as well as ways to ease the disease burden.

Indexed as

Air PollutionAsthmaDysbiosisIrritable Bowel SyndromeLung NeoplasmsAir PollutantsGastrointestinal MicrobiomeHumansPneumoniaPulmonary Disease, Chronic ObstructiveAir Pollutantsair pollutionasthmaCOPDDysbiosislung cancermicrobiomePM2.5pneumoniarespiratory diseasessources

Identifiers

PMID39345043
PMCPMC11492635

What OpenQuestion holds

Textmetadata
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.