Evidence map›Paper›PMID 30794247›Full record

ArticleLa Medicina del lavoro2019

Maria Del Mar Seguí-Crespo, Natalia Cantó Sancho, Elena Ronda, Renzo Colombo, Stefano Porru, Angela Carta

Open access · diamondAbstract readValidation Study
In one paragraph

Article in La Medicina del lavoro, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 4 institutions in 2 countries.

Maria Del Mar Seguí-CrespoUniversity of Alicante. mm.segui@ua.es.
Natalia Cantó Sancho
Elena Ronda
Renzo Colombo
Stefano Porru
Angela Carta
University of Alicante · ESUniversity of Brescia · ITUniversity of Padua · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe original Spanish version of the Computer Vision Syndrome Questionnaire (CVS-Q©) is a validated instrument with good psychometric properties to measure the Computer Visual Syndrome (CVS) in workers exposed to video display terminals (VDT). The Italian version would facilitate research and its use in clinical practice the prevention of occupational hazards.

objectiveTo culturally translate and adapt the CVS-Q© into Italian.

methodsStudy with 5 consecutive stages: Direct translation, Synthesis of translations, Retro-translation, Consolidation by a committee of experts and Pre-test. During the Pre-test, a cross-sectional pilot study was conducted on users of VDT (n=40) who completed the Italian version of the questionnaire. Socio-demographic information and exposure assessment to VDT was also collected, as well as on the difficulty to fill in the CVS-Q©.

resultsThe final version into Italian of the CVS-Q© was obtained. The totality of the sample considered that it didn't present difficulty in its completion and 90% confirmed that no improvement was needed; so that the 15% required to make changes was not reached. The mean age of participants was of 35.80±16.28 (20-65 years), 57.5% were women and 67.5% used VDT at work. A prevalence of CVS of 62.5% was observed.

conclusionThe CVS-Q© can be considered a tool easy to understand and manage for measuring the CVS in the population exposed to VDT in Italy.

Indexed as

Occupational DiseasesUser-Computer InterfaceVision DisordersAdultCross-Sectional StudiesFemaleHumansItalyMiddle AgedPilot ProjectsSurveys and QuestionnairesYoung Adult

Identifiers

PMID30794247
PMCPMC7809999
OpenAlexW3121373889

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.