Evidence map›Paper›PMID 26904255›Full record

ReviewJournal of thoracic disease2016

The impact of PM2.5 on the human respiratory system.

Yu-Fei Xing, Yue-Hua Xu, Min-Hua Shi, Yi-Xin Lian

Abstract readReview
In one paragraph

Review in Journal of thoracic disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 536 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
536citing papers in PubMed, 6 pooled it
–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

536 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Quantifying the association between PMEnvironmental health : a global access science source · 2024
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  7. Article
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  11. Impact of particulate matter 2.5 exposure on severity of pediatric chronic rhinitis: A prospective cohort study.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
    Article
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  15. Review
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  19. PMScientific reports · 2026
    Article
  20. Review

476 more citing papers are in PubMed but not listed here.

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

4 authors.

Yu-Fei XingDepartment of Respiratory Medicine, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Yue-Hua XuDepartment of Respiratory Medicine, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Min-Hua ShiDepartment of Respiratory Medicine, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.
Yi-Xin LianDepartment of Respiratory Medicine, Second Affiliated Hospital of Soochow University, Suzhou 215004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, many researchers paid more attentions to the association between air pollution and respiratory system disease. In the past few years, levels of smog have increased throughout China resulting in the deterioration of air quality, raising worldwide concerns. PM2.5 (particles less than 2.5 micrometers in diameter) can penetrate deeply into the lung, irritate and corrode the alveolar wall, and consequently impair lung function. Hence it is important to investigate the impact of PM2.5 on the respiratory system and then to help China combat the current air pollution problems. In this review, we will discuss PM2.5 damage on human respiratory system from epidemiological, experimental and mechanism studies. At last, we recommend to the population to limit exposure to air pollution and call to the authorities to create an index of pollution related to health.

Indexed as

Air pollutionChinaPM2.5respiratory system

Identifiers

PMID26904255
PMCPMC4740125

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.