Evidence map›Paper›PMID 36684947›Full record

ArticleFrontiers in public health2022

Short-term exposure to fine particulate matter and genome-wide DNA methylation in chronic obstructive pulmonary disease: A panel study conducted in Beijing, China.

Ruirui Duan, Hongtao Niu, Fen Dong, Tao Yu, Xuexin Li, Hanna Wu, Yushi Zhang, Ting Yang

Open access · goldAbstract readComment
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Particulate matter-induced epigenetic modifications and lung complications.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Ruirui DuanDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Hongtao NiuDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Fen DongDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Tao YuDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Xuexin LiPeking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Hanna WuPeking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Yushi ZhangPeking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Ting YangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
China-Japan Friendship Hospital · CNPeking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fine particulate matter (PM Objective: To evaluate the association of personal exposure to PM Methods: A panel study was conducted in Beijing, China. We repeatedly measured and collected personal PM Results: A total of 24 COPD patients were enrolled and 48 repeated DNA methylation measurements were associated in this study. When the false discovery rate was < 0.05, 19 DMPs were significantly associated with PM Conclusion: This study provided evidence for a significant relationship between personal PM

Indexed as

Air PollutantsPulmonary Disease, Chronic ObstructiveBeijingDNADNA MethylationHumansParticulate MatterAir PollutantsDNAParticulate Matterchronic obstructive pulmonary disease (COPD)DNA-methylationhealth effectinflammationPM2.5

Identifiers

PMID36684947
PMCPMC9850166
OpenAlexW4313556216

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.