Evidence map›Paper›PMID 33032072›Full record

SynthesisEnvironment international2020

Long-term exposure to NO

Peijue Huangfu, Richard Atkinson

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 19 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

141 citing papers in PubMed, 19 syntheses or guidelines pooled it.

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  6. Assessment of long-term exposure to traffic-related air pollution: An exposure framework.Journal of exposure science & environmental epidemiology · 2025
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  11. Long-Term Exposure to Low-LevelEnvironmental health perspectives · 2023
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  15. Mortality and Morbidity Effects of Long-Term Exposure to Low-Level PMResearch report (Health Effects Institute) · 2021
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  20. Article

81 more citing papers are in PubMed but not listed here.

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

2 authors.

Peijue HuangfuPopulation Health Research Institute, St George's, University of London, UK.
Richard AtkinsonPopulation Health Research Institute, St George's, University of London, UK. Electronic address: atkinson@sgul.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWHO has published several volumes of Global Air Quality Guidelines to provide guidance on the health risks associated with exposure to outdoor air pollution. As new scientific evidence is generated, air quality guidelines need to be periodically revised and, where necessary, updated.

objectivesThe aims of the study were 1) to summarise the available evidence on the effect of long-term exposure to ozone (O DATA SOURCES: We conducted a systematic literature search of the Medline, Embase and Web of Science databases following a protocol proposed by WHO and applied Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines for reporting our results. STUDY ELIGIBILITY CRITERIA: Cohort studies in human populations (including sub-groups at risk) exposed to long-term concentrations of NO STUDY APPRAISAL AND SYNTHESIS

methodsStudies included in the meta-analyses were assessed using a new Risk of Bias instrument developed by a group of experts convened by WHO. Study results are presented in forest plots and quantitative meta-analyses were conducted using random effects models. The certainty of evidence was assessed using a newly developed adaptation of GRADE.

resultsThe review identified 2068 studies of which 95 were subject to full-text review with 45 meeting the inclusion criteria. An update in September 2018 identified 159 studies with 1 meeting the inclusion criteria. Of the 46 included studies, 41 reported results for NO LIMITATIONS: The substantial heterogeneity for most outcomes in the review requires explanation. The evidence base is limited in terms of the geographical spread of the study populations and, for some outcomes, the small number of independent cohorts for meta-analysis precludes meaningful meta-regression to explore causes of heterogeneity. Relatively few studies assessed specifically the shape of the CRF or multi-pollutant models.

conclusionsThe short-comings in the existing literature base makes determining the precise nature (magnitude and linearity) of the associations challenging. Certainty of evidence assessments were moderate or low for both NO

Indexed as

Air PollutantsAir PollutionCanadaChinaEuropeHumansJapanNitrogen DioxideAir PollutantsNitrogen DioxideCohortMeta-analysisMortalityNitrogen dioxideOzoneSystematic review

Identifiers

PMID33032072
PMCPMC7549128

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.