Association of PM

Jiachen Li, Lirong Liang, Yutong Samuel Cai, Di Zhang, Yong Luo, Zhaohui Tong

Abstract read

In one paragraph

Article in Respiratory research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiachen Li *Evidence-Based Medicine Center, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

Lirong Liang *Evidence-Based Medicine Center, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China. llr@bjirm.cn.

Yutong Samuel CaiCentre for Environmental Health and Sustainability, Department of Population Health Sciences, University of Leicester, Leicester, UK.

Di ZhangEvidence-Based Medicine Center, Beijing Institute of Respiratory Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

Yong LuoDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.

Zhaohui TongBeijing Key Laboratory of Multimodal Intelligent Diagnosis and Treatment System for Respiratory Diseases, Beijing, China.

Funding

Beijing Municipal Science & Technology Commission Z231100004623008Clinical Research Incubation Project, Beijing Chao-Yang Hospital CYFH202210Financial Budgeting Project of Beijing Institute of Respiratory Medicine Ysbz2023002National Natural Science Foundation of China 41921005National Natural Science Foundation of China 82204150

6 · The paper itself

Abstract

objectiveThe component‑specific toxicity of fine particulate matter (PM

methodsA panel study was conducted in 32 patients with stable COPD in Beijing (2018-2019). Participants were followed-up across four seasons, yielding 3363 daily PEF measurements and 208 serum samples for untargeted metabolomics. PM

resultsPEF declines were associated with interquartile range increase in several PM

conclusionThese findings highlight black carbon and sulfate as primary drivers of PM

Indexed as

Air PollutantsMetabolomeParticulate MatterPulmonary Disease, Chronic ObstructiveAgedBeijingFemaleHumansMaleMetabolomicsMiddle AgedPeak Expiratory Flow RateAir PollutantsParticulate MatterAir pollutionLung functionPanel studyRespiratory diseaseUntargeted metabolomics

Identifiers

PMID42458484

DOI10.1186/s12931-026-03812-1

What Socratic 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 Socratic graph.