Evidence map›Paper›PMID 37056647›Full record

SynthesisFrontiers in public health2023

Long-term exposure to particulate matter on cardiovascular and respiratory diseases in low- and middle-income countries: A systematic review and meta-analysis.

Juanmei Guo, Guorong Chai, Xuping Song, Xu Hui, Zhihong Li, Xiaowen Feng, Kehu Yang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

7 authors.

Juanmei GuoSchool of Management, Lanzhou University, Lanzhou, China.
Guorong ChaiSchool of Management, Lanzhou University, Lanzhou, China.
Xuping SongEvidence-based Social Sciences Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
Xu HuiEvidence-based Social Sciences Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
Zhihong LiEvidence-based Social Sciences Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
Xiaowen FengEvidence-based Social Sciences Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
Kehu YangEvidence-based Social Sciences Research Center, School of Public Health, Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long-term exposure to particulate matter (PM) has essential and profound effects on human health, but most current studies focus on high-income countries. Evidence of the correlations between PM and health effects in low- and middle-income countries (LMICs), especially the risk factor PM Objective: To explore the effects of long-term exposure to particulate matter on the morbidity and mortality of cardiovascular and respiratory diseases in LMICs. Methods: A systematic search was conducted in the PubMed, Web of Science, and Embase databases from inception to May 1, 2022. Cohort studies and case-control studies that examine the effects of PM Results: Of the 1,978 studies that were identified, 38 met all the eligibility criteria. The studies indicated that long-term exposure to PM Conclusions: Long-term exposure to PM

Indexed as

Air PollutantsCardiovascular DiseasesRespiratory Tract DiseasesAgedDeveloping CountriesDisease ProgressionEnvironmental ExposureHumansParticulate MatterAir PollutantsParticulate Mattercardiovascular diseaseslong-term exposurelow- and middle-income countriesparticulate matterrespiratory diseases

Identifiers

PMID37056647
PMCPMC10089304

What OpenQuestion holds

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LicenceCC BY
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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.