Evidence map›Paper›PMID 34900362›Full record

ArticleSafety and health at work2021

Estimation of Lead Exposure Intensity by Industry Using Nationwide Exposure Databases in Korea.

Dong-Hee Koh, Ju-Hyun Park, Sang-Gil Lee, Hwan-Cheol Kim, Hyejung Jung, Inah Kim, Sangjun Choi, Donguk Park

Open access · goldAbstract read
In one paragraph

Article in Safety and health at work, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Article
  6. Article
  7. Brief Review of Endometriosis and the Role of Trace Elements.International journal of molecular sciences · 2021
    Review
  8. Does Exposure of Lead and Cadmium Affect the Endometriosis?International journal of environmental research and public health · 2021
    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

8 authors at 7 institutions in 1 country.

Dong-Hee KohDepartment of Occupational and Environmental Medicine, International St. Mary's Hospital, Catholic Kwandong University, Incheon, Republic of Korea.
Ju-Hyun ParkDepartment of Statistics, Dongguk University, Seoul, Republic of Korea.
Sang-Gil LeeOccupational Safety and Health Research Institute, Korea Occupational Safety and Health Agency, Ulsan, Republic of Korea.
Hwan-Cheol KimDepartment of Occupational and Environmental Medicine, Inha University, Incheon, Republic of Korea.
Hyejung JungDepartment of Occupational and Environmental Medicine, International St. Mary's Hospital, Catholic Kwandong University, Incheon, Republic of Korea.
Inah KimDepartment of Occupational and Environmental Medicine, College of Medicine, Hanyang University, Seoul, Republic of Korea.
Sangjun ChoiDepartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Donguk ParkDepartment of Environmental Health, Korea National Open University, Seoul, Republic of Korea.
Catholic Kwandong University International St. Mary's Hospital · KRCatholic University of Korea · KRDongguk University · KRHanyang University · KRInha University · KRKorea National Open University · KRKorea Occupational Safety and Health Agency · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a previous study, we estimated exposure prevalence and the number of workers exposed to carcinogens by industry in Korea. The present study aimed to evaluate the optimal exposure intensity indicators of airborne lead exposure by comparing to blood lead measurements for the future development of the carcinogen exposure intensity database.

methodsData concerning airborne lead measurements and blood lead levels were collected from nationwide occupational exposure databases, compiled between 2015 and 2016. Summary statistics, including the arithmetic mean (AM), geometric mean (GM), and 95th percentile level (X95) were calculated by industry both for airborne lead and blood lead measurements. Since many measurements were below the limits of detection (LODs), the simple replacement with half of the LOD and maximum likelihood estimation (MLE) methods were used for statistical analysis. For examining the optimal exposure indicator of airborne lead exposure, blood lead levels were used as reference data for subsequent rank correlation analyses.

resultsA total of 19,637 airborne lead measurements and 32,848 blood lead measurements were used. In general, simple replacement showed a higher correlation than MLE. The results showed that AM and X95 using simple replacement could be used as optimal exposure intensity indicators, while X95 showed better correlations than AM in industries with 20 or more measurements.

conclusionOur results showed that AM or X95 could be potential candidates for exposure intensity indicators in the Korean carcinogen exposure database. Especially, X95 is an optimal indicator where there are enough measurements to compute X95 values.

Indexed as

CancerCarcinogenExposureOccupational cancerOccupational exposure

Identifiers

PMID34900362
PMCPMC8640577
OpenAlexW3188993617

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.