Evidence map›Paper›PMID 39984684›Full record

ArticleScientific reports2025

Effect of PM

Di Wu, Cheng Li, Yu Shi, Junjie Han, Yaoqin Lu, Yilipa Yilihamu, Yanling Zheng, Liping Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Di Wu *Institute of Medical Engineering and Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang medical university, Urumqi, China.
Cheng Li *The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yu ShiSchool of public health, Xinjiang medical university, Urumqi, China.
Junjie HanSchool of Nursing and Public Health, Yangzhou University, Yangzhou, China.
Yaoqin LuCenter for Disease Control and Prevention of Urumqi, Urumqi, China.
Yilipa YilihamuSchool of public health, Xinjiang medical university, Urumqi, China.
Yanling ZhengInstitute of Medical Engineering and Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang medical university, Urumqi, China.
Liping ZhangInstitute of Medical Engineering and Interdisciplinary Research, College of Medical Engineering and Technology, Xinjiang medical university, Urumqi, China. zhanglp1219@163.com.

Funding

National Natural Science Foundation of China 72064036
6 · The paper itself

Abstract

Cardiometabolic multimorbidity (CMM) is caused by two or more of the diseases ischemic heart disease (CVD), type 2 diabetes mellitus (T2DM), and stroke, and therefore requires more hospitalization and healthcare costs. However, few studies have investigated fine particulate matter (PM

Indexed as

Air PollutantsCardiovascular DiseasesDiabetes Mellitus, Type 2HospitalizationParticulate MatterAgedAir PollutionChinaEnvironmental ExposureFemaleHumansMaleMiddle AgedMultimorbidityAir PollutantsParticulate MatterBayesian kernel machine regressionCardiometabolic multimorbidityGeneralized linear modelMixture exposureTime-stratified case-crossover design

Identifiers

PMID39984684
PMCPMC11845472

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.