Evidence map›Paper›PMID 41618116›Full record

ArticleTrends in hearing

Leveraging Monaural Exposures to Reveal Early Effects of Noise: Evidence from Police Radio Ear-Piece Use.

Hannah Guest, Paul Elliott, Martie van Tongeren, Joseph Laycock, Steven Thorley-Lawson, Michael A Stone, Michael T Loughran, Christopher J Plack

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Trends in hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hannah GuestManchester Centre for Audiology and Deafness, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-4981-6663
Paul ElliottMRC Centre for Environment and Health, Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK.
Martie van TongerenDivision of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
Joseph LaycockAnsys UK Limited, Sheffield, UK.
Steven Thorley-LawsonWest Yorkshire Police, Wakefield, UK.
Michael A StoneManchester Centre for Audiology and Deafness, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0003-2252-9258
Michael T LoughranManchester Centre for Audiology and Deafness, School of Health Sciences, The University of Manchester, Manchester, UK.
Christopher J PlackManchester Centre for Audiology and Deafness, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-2987-5332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research into the long-term effects of noise on hearing is often confounded by health and lifestyle differences between individuals. UK police radio ear-pieces are capable of emitting high sound levels and, crucially, are worn in one ear, allowing between-ear comparisons which control for individual-level confounding factors. Low volume-control settings are recommended to reduce risk to police hearing, yet actual usage patterns and auditory effects remain unexamined. This study used a large-scale survey (

Indexed as

Ear Protective DevicesHearing Loss, Noise-InducedNoise, OccupationalOccupational DiseasesOccupational ExposurePoliceRadioTinnitusAdultAuditory ThresholdFemaleHumansMaleMiddle AgedRisk AssessmentRisk Factorsnoise exposurenoise-induced hearing lossoccupational healthpolice healthtemporary threshold shifttinnitus

Identifiers

PMID41618116
PMCPMC12858745

What OpenQuestion holds

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LicenceCC BY
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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.