Evidence map›Paper›PMID 42582230›Full record

ArticleInnovation (Cambridge (Mass.))2026

Global and national burden of chronic kidney disease attributable to fine particles: An updated exposure-response meta-analysis.

Pengfei Li, Xueqiu Ni, Jingyi Wu, Chenghua Guo, Tao Xue, Luxia Zhang

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 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.

Pengfei LiSchool of Nursing, Peking University, Beijing 100191, China.
Xueqiu NiInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Epidemiology of Major Diseases (PKU), School of Public Health, Peking University Health Science Centre, Beijing 100191, China.
Jingyi WuAdvanced Institute of Information Technology, Peking University, Hangzhou 311215, China.
Chenghua GuoAdvanced Institute of Information Technology, Peking University, Hangzhou 311215, China.
Tao XueNational Institute of Health Data Science, Peking University, Beijing 100191, China.
Luxia ZhangNational Institute of Health Data Science, Peking University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robust evidence is needed for the exposure-response function (ERF) linking chronic kidney disease (CKD) to long-term exposure to ambient fine particulate matter (PM

Indexed as

chronic kidney diseaseexposure-response functionfine particulate matterrisk assessment

Identifiers

PMID42582230
PMCPMC13457180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.