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Record W4388929240 · doi:10.1007/s11869-023-01471-5

Effective mitigation strategies for reducing workers’ exposure to formaldehyde: a systematic review

2023· review· en· W4388929240 on OpenAlex
Federica Castellani, Matteo Vitali, Arianna Antonucci, Luigi Cofone, Gabriele D’Ancona, Ivano Pindinello, Giuseppe Buomprisco, Marta Petyx, Cinzia Lucia Ursini, Carmela Protano

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAir Quality Atmosphere & Health · 2023
Typereview
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsnot available
FundersIstituto Nazionale per l'Assicurazione Contro Gli Infortuni sul Lavoro
KeywordsPersonal protective equipmentExposure assessmentObservational studyOccupational exposureMedicineToxicologyMedical physicsEnvironmental healthPathology

Abstract

fetched live from OpenAlex

Abstract Formaldehyde is a toxic and carcinogenic compound, still used in several occupational settings due to its properties. Thus, in these working scenarios, it is necessary to provide effective measures to reduce workers’ exposure to formaldehyde. The aim of this systematic review is to provide a picture of the worldwide mitigation strategies implemented in occupational environments for minimizing the exposure to formaldehyde and which ones are the most effective for this purpose. The systematic review was performed according to PRISMA statement; the protocol was registered in PROSPERO (CRD42022302207). The search was performed on three electronic databases (PubMed, Scopus, and Web of Science). Studies were considered eligible if they describe strategies for mitigating formaldehyde occupational exposure and their efficacy. We included articles reporting observational studies, semi-experimental, and experimental studies and published in the English language, from the inception to March 26th, 2023. The quality assessment was performed using the Newcastle–Ottawa Quality Assessment Scale. In total, 28 articles were included in the review. The employment scenarios/activities studied were human and veterinary anatomy, autopsy, histopathology or pathology laboratories, embalming procedures, hospital, operating theaters, aquaculture, textile or foundry industries, industry using 3-D printers, offices, and firefighters’ activities. Different methods have proven useful in mitigating formaldehyde exposure, such as the use of personal protective equipment, engineering control methods, organization methods, and technical strategies, with a reduction of airborne formaldehyde until to 99.6%. The highest reduction was obtained in an anatomy laboratory through locally exhausted dissection tables equipped with activated carbon filters. The specific suitable procedures should be standardized and applied in all work settings for an appropriate risk management, in order to protect the health of exposed workers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.240
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.372
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it