Evidence map›Paper›PMID 41022941›Full record

ArticleScientific reports2025

Trends and patterns of work-related cyclist fatalities in Brazil, 2014-2022.

Jailma Dos Santos Silva, Mariela Sousa Dos Santos, Joelma Marques Rodrigues, Adedayo Michael Awoniyi, Cleber Cremonese

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 authors.

Jailma Dos Santos SilvaInstitute of Collective Health, Federal University of Bahia, Salvador, BA, 40110-040, Brazil.
Mariela Sousa Dos SantosInstitute of Collective Health, Federal University of Bahia, Salvador, BA, 40110-040, Brazil.
Joelma Marques RodriguesInstitute of Collective Health, Federal University of Bahia, Salvador, BA, 40110-040, Brazil.
Adedayo Michael AwoniyiInstitute of Collective Health, Federal University of Bahia, Salvador, BA, 40110-040, Brazil.
Cleber CremoneseInstitute of Collective Health, Federal University of Bahia, Salvador, BA, 40110-040, Brazil. cleber.cremonese@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bicycles are common mode of transport in countries with well-developed road infrastructure and traffic law enforcement. In Brazil, their use for economic activities, particularly on app-based deliveries, has surged. However, work-related cyclist fatalities (WRCFs) remain an understudied public health concern. This study characterizes WRCFs among individuals aged 10-69 in Brazil from 2014 to 2022, analyzing key demographic, occupational, temporal, and geographic trends. Using data from Brazil's Mortality Information System (MIS), we examined deaths classified under ICD-10 codes V10-V19 (pedal cyclist injured in transport accidents). Proportional mortality, mean age at death (MAoD), median, interquartile range and Years of Potential Life Lost (YPLL) were calculated. Of 6590 cyclist-related fatalities, 272 (4.1%) were confirmed as WRCFs. Most victims were male (87.1%), aged 29-58 years (68.3%), white (49.7%), had low education levels (< 12 years, 82.4%) and were single (45.9%). Fatalities seem concentrated in the South/Southeast regions (71%), with 61.3% involving collisions with motor vehicles (ICD-10 codes V13-V14). The highest proportions of WRCFs occurred among industrial (42%) and sales/trade (30.9%) workers. The MAoD was 43.6 years, with a total of 8896.4 YPLL. Notably, work-related fatality classification was missing in 57% of cases, highlighting the need for improved death certificate reporting in the country. Enhancing data quality is essential to understanding the risks faced by workers, many of whom are engaged in precarious, informal employment without social protection.

Indexed as

Accidents, TrafficBicyclingAdolescentAdultAgedBrazilChildFemaleHumansMaleMiddle AgedYoung AdultCyclistsMortality information systemOccupational accidentsOccupational mortalityWork-related accident

Identifiers

PMID41022941
PMCPMC12479866

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Registered trials

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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.