Evidence map›Paper›PMID 27594794›Full record

ArticleCanadian respiratory journal2016

Short-Term Health Impact Assessment of Urban PM10 in Bejaia City (Algeria).

Fatima Benaissa, Cara Nichole Maesano, Rezak Alkama, Isabella Annesi-Maesano

Abstract read
In one paragraph

Article in Canadian respiratory journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematic Literature Review of Health Impact Assessments in Low and Middle-Income Countries.International journal of environmental research and public health · 2019
    Pooled it
  3. A Review on Climate, Air Pollution, and Health in North Africa.Current environmental health reports · 2022
    Review
  4. Review
  5. Review
  6. Article
  7. Review
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

4 authors.

Fatima BenaissaSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory Diseases (EPAR) Department, Medical School Saint-Antoine, 75012 Paris, France; Department of Environmental and Biological Sciences, Bejaia University, 06000 Bejaia, Algeria; Biological Department, Boumerdes University, 35000 Boumerdes, Algeria.ORCID 0000-0003-4888-9884
Cara Nichole MaesanoSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory Diseases (EPAR) Department, Medical School Saint-Antoine, 75012 Paris, France.
Rezak AlkamaElectrical Engineering Laboratory, Bejaia University, 06000 Bejaia, Algeria.
Isabella Annesi-MaesanoSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP UMRS 1136), Epidemiology of Allergic and Respiratory Diseases (EPAR) Department, Medical School Saint-Antoine, 75012 Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used Health Impact Assessment (HIA) to analyze the impact on a given population's health outcomes in terms of all-causes mortality and respiratory and cardiovascular hospitalizations attributable to short-term exposure to particulate matter less than 10 μm diameter (PM10) in Bejaia city, for which health effects of air pollution have never been investigated. Two scenarios of PM10 reduction were considered: first, a scenario where the PM10 annual mean is decreased by 5 µg/m(3), and then a scenario where this PM10 mean is decreased to 20 µg/m(3) (World Health Organization annual air quality guideline (WHO-AQG)). Annual mean level of PM10 (81.7 µg/m(3)) was calculated from objective measurements assessed in situ. Each year, about 4 and 55 deaths could be postponed with the first and the second scenarios successfully. Furthermore, decreasing PM10 annual mean by 5 µg/m(3) would avoid 5 and 3 respiratory and cardiac hospitalizations, respectively, and not exceeding the PM10 WHO-AQG (20 µg/m(3)) would result in a potential gain of 36 and 23 per 100000 respiratory and cardiac hospitalizations, respectively. Lowering in current levels of PM10 has a nonnegligible impact in terms of public health that it is expected to be higher in the case of long-term effects.

Indexed as

MortalityParticulate MatterAgedAlgeriaCardiovascular DiseasesCause of DeathEnvironmental ExposureFemaleHospitalizationHumansMaleRespiratory Tract DiseasesRiskUrban PopulationParticulate Matter

Identifiers

PMID27594794
PMCPMC4995320

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.