Evidence map›Paper›PMID 36654813›Full record

ArticleJournal of public health research2023

PM

Sjahrul Meizar Nasri, Fiori Amelia Putri, Stevan Sunarno, Sifa Fauzia, Doni Hikmat Ramdhan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of public health research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07383896 (Chronic Obstructive Pulmonary Disease and Asthma in Workers at Navanakorn Industrial Zone, Thailand), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 99% of its field
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.

NCT07383896 recruitingnot on this mapstarted 2025, after this paper: background citation

Chronic Obstructive Pulmonary Disease and Asthma in Workers at Navanakorn Industrial Zone, Thailand

TypeobservationalSponsorThammasat UniversityRan2025 to 2026Enrolled310ConditionsAsthma, COPDArmsPulmonary function test
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Sjahrul Meizar NasriDepartment of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia.
Fiori Amelia PutriDepartment of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia.
Stevan SunarnoDepartment of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia.
Sifa FauziaDepartment of Environmental Health, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia.
Doni Hikmat RamdhanDepartment of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Kampus UI, Depok, Indonesia.
University of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Numerous studies have reported respiratory impairment by exposure to fine particulate matter (PM Design and Method: A total of 131 fiber cement roof workers have been chosen based on the inclusive criteria. Size-segregated particles were measured in the workplace of workers. Interview and spirometry tests were obtained to determine the respiratory impairments. Result: The results showed the mean concentrations of PM Conclusion: Our study recommended the industry constantly maintain its programs. The industry should keep using the wet process to prevent dust generation and water suppression from preventing dust spread, as well as to wear respiratory protection for workers to avoid PM

Indexed as

fiber cement roof industrylung impairmentParticulate matterPM2.5workers

Identifiers

PMID36654813
PMCPMC9841852
OpenAlexW4316193390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.