ReviewFrontiers in public health2025
Occupational hygiene risk assessment at light speed-a study for protecting worker health and safety in the biopharmaceutical industry.
Review in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Study on policy adaptability of occupational injury insurance for employees of emerging business sectors in China.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hazardous substances are ubiquitous in the workplace and improperly controlled exposure may result in severe illness and death. Occupational exposure models can be used to predict the level of exposure workers may experience while performing tasks and thus determine "acceptability" or compliance against an applicable exposure standard. This reflects a prospective assessment approach providing useful information and critical to the biopharmaceutical industry where a high degree of novel exposure scenarios are present. Research aim: This research sought to provide practical insights and recommendations of suitable occupational exposure models for use in the biopharmaceutical industry to support a new, light speed' pace of biopharmaceutical process development, scale-up and manufacturing. This was achieved through the identification and critical review of the most recent and innovative occupational exposure models to assess their suitability for supporting these novel industry initiatives while also informing future research opportunities. Methods: A systematic literature search strategy was developed and conducted. Studies that met the inclusion criteria were identified for further review of potential exposure models. Models were screened at a high level of detail for inclusion in a critical review of components, including their mechanisms, capabilities, level of validation and "acceptability" for use. Inclusion criteria: Models were selected for critical review on the basis of their availability as an electronic tool, endorsement by an appropriate advisory body based on field validation and suitability for exposure assessment of inhalation hazards relevant to the biopharmaceutical manufacturing and process development industry. Results and conclusions: The basis behind key elements such as control banding, heuristic structure, multiplying factors, mass balance and multiplying factor-mass balance hybrid tools were reviewed and seven tools were critically assessed for suitability. ART was recommended as the most appropriate tool for use by industrial hygiene professionals; STOFFENMANAGER® was recommended for use by safety professionals with chemical safety experience; and the COSHH e-tool was recommended as a useful tool for process engineers, operations managers, and operators.
Indexed as
Identifiers
What OpenQuestion holds
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.