Evidence map›Paper›PMID 38356653›Full record

ArticleFrontiers in public health2023

Analysis of respirable dust exposure data collected at a Zambian copper mine between 2017 and 2022.

Mwaba Sifanu, Kennedy K Kalebaila, Patrick Hayumbu, Lubinda Nabiwa, Stephanus J L Linde

Open access · goldAbstract read
In one paragraph

Article 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 98% 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.

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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 2 countries.

Mwaba SifanuSchool of Mathematics and Natural Sciences, Copperbelt University, Kitwe, Zambia.
Kennedy K KalebailaSchool of Mathematics and Natural Sciences, Copperbelt University, Kitwe, Zambia.
Patrick HayumbuSchool of Mathematics and Natural Sciences, Copperbelt University, Kitwe, Zambia.
Lubinda NabiwaSchool of Mathematics and Natural Sciences, Copperbelt University, Kitwe, Zambia.
Stephanus J L LindeOccupational Hygiene and Health Research Initiative, North-West University, Potchefstroom, South Africa.
Copperbelt University · ZMNorth-West University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mine workers are occupationally exposed to respirable dust, which can cause irreversible lung diseases and controlling exposure concentrations to as low as reasonably practicable is, therefore, essential. To implement exposure reduction strategies and adequately manage exposure to hazardous chemicals, exposure needs to be measured and recorded according to a standard exposure management plan. This study aimed to assess the available respirable dust exposure data measured between 2017 and 2022 in various work areas and job categories at two mining shafts and a concentrator plant of a Zambian copper mine. Additionally, the monitoring program implemented at the mine was assessed for appropriateness. Descriptive data analysis was used to create an exposure matrix comprising 253 exposure measurements. Approximately 5.6% of the measured concentrations exceeded the South African time-weighted average occupational exposure limit (TWA-OEL) of 3 mg/m

Indexed as

Air Pollutants, OccupationalLung DiseasesCopperDustEnvironmental MonitoringHumansZambiaAir Pollutants, OccupationalCopperDustconcentrator plantdust exposuremining shaftsmonitoring programretrospective dataZambian copper mining

Identifiers

PMID38356653
PMCPMC10864506
OpenAlexW4391399996

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.