Evidence map›Paper›PMID 35317761›Full record

ArticleBMC public health2022

Association of long-term exposure to PM

Zirong Ye, Xueru Li, Yaofeng Han, Yafei Wu, Ya Fang

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The association between PMEnvironmental research · 2026
    Article
  4. 2024 Thai guidelines on the treatment of hypertension.Asian biomedicine : research, reviews and news · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Association Between Particulate Matter Pollution and CKD Mortality by Social Deprivation.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  11. Article
  12. 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

5 authors.

Zirong YeState Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Xueru LiState Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Yaofeng HanState Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Yafei WuState Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China.
Ya FangState Key Laboratory of Molecular Vaccine and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China. fangya@xmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological evidence has shown an association between long-term exposure to fine particulate matter (PM

methodsWe conducted a national cross-sectional study of the most recently launched wave 4 2018 data of the China Health and Retirement Longitudinal Study (CHARLS) to calculate the prevalence of hypertension and diabetes. The exposure data of annual average PM

resultsThe prevalence of hypertension and diabetes was 44.27% and 18.44%, respectively, among 19,529 participants. The annual average PM

conclusionOur nationwide study demonstrated that long-term exposure to PM

Indexed as

Air PollutantsAir PollutionDiabetes MellitusHypertensionAgedChinaCross-Sectional StudiesEnvironmental ExposureHumansLongitudinal StudiesMiddle AgedParticulate MatterAir PollutantsParticulate MatterDiabetesHypertensionPM2.5Spatial study

Identifiers

PMID35317761
PMCPMC8941772

What OpenQuestion holds

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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.