Evidence map›Paper›PMID 31093088›Full record

ReviewRevista panamericana de salud publica = Pan American journal of public health2018

A systematic review of the effectiveness of interventions to reduce motor vehicle crashes and their injuries among the general and working populations.

Álvaro Lefio, Vivienne C Bachelet, Rosa Jiménez-Paneque, Patricio Gomolán, Katherinne Rivas

Abstract readReview
In one paragraph

Review in Revista panamericana de salud publica = Pan American journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Promoting health and safety in public transportation: A call to action for sub-Saharan Africa.African journal of primary health care & family medicine · 2025
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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

5 authors.

Álvaro LefioEscuela de Salud Pública, Universidad de Chile, Santiago, Chile.
Vivienne C BacheletFacultad de Ciencias Médicas, Universidad de Santiago de Chile, Santiago, Chile.
Rosa Jiménez-PanequeMedwave Estudios Limitada, Santiago, Chile.
Patricio GomolánMedwave Estudios Limitada, Santiago, Chile.
Katherinne RivasEscuela de Salud Pública, Universidad de Chile, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo summarize the best available international scientific evidence on the effectiveness of interventions to reduce motor vehicle collisions and their consequences among the working and general populations.

methodsA broad and systematic review was conducted of the literature available in biomedical databases and grey literature. At least two investigators working in parallel performed data extraction, synthesis, and risk of bias analysis.

resultsForty-one studies with low to moderate risk of bias were included. Of these, 18 had an ecological design (time series), 10 were quasi-experimental, one was a population survey, one was a randomized clinical trial, and 11 were systematic reviews.

conclusionsThe interventions that most consistently show a positive effect on incidence, morbidity, and mortality due to motor vehicle collisions are national policies or programs that: regulate, enforce, and penalize driving under the influence of alcohol; improve driving safety and driver conditions; improve road infrastructure with the purpose of preventing collisions; and educate and penalize drivers with a history of road violations.

Indexed as

accidents, occupationalAccidents, trafficdriving under the influenceoccupational injuriesoccupational mortality

Identifiers

PMID31093088
PMCPMC6386148

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.