Evidence map›Paper›PMID 41152027›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2025

Setting a Comprehensive Bow-Tie Framework for Disaster Risk Analysis of Mine Tailings Storage Facilities.

Rafaela Shinobe Massignan, Juliana Siqueira-Gay, Luis Enrique Sánchez

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Setting a Comprehensive Bow-Tie Framework for Disaster Risk Analysis of Mine Tailings Storage Facilities.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
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

3 authors.

Rafaela Shinobe MassignanDepartment of Mining and Petroleum Engineering, University of São Paulo, São Paulo, Brazil.
Juliana Siqueira-GayDepartment of Hydraulics and Environmental Engineering, University of São Paulo, São Paulo, Brazil.
Luis Enrique SánchezDepartment of Mining and Petroleum Engineering, University of São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disasters caused by tailings storage facilities (TSFs) have highlighted the complexity of safely managing mine tailings and the extension of consequences over time and throughout the tailings runoff. Investigations commissioned by mining companies following major failures in Mariana and Brumadinho, Brazil, primarily focused on immediate technical causes and hazards. However, for effective disaster risk reduction, the integration of technical, environmental, and social factors is needed to comprehensively address the complexity of risk management. Bow-tie models can be used for TSF's disaster analysis, as they consider causes, consequences, and preventive and mitigation controls. Here, an adapted bow-tie framework for TSF's disaster risk analysis is proposed to systematize the identification of threats and consequences and address the four disaster risk dimensions: hazard, exposure, vulnerability, and capacity. The framework was applied to the Pontal TSF, Brazil, using publicly available information, revealing gaps in the risk management, such as the lack of identification of social vulnerabilities. Our framework highlights the importance of reducing TSF's disaster risks through all dimensions and engaging multiple stakeholders. Although TSF stability control is primordial and irreplaceable, alone it is insufficient for effective disaster risk reduction.

Indexed as

disaster risk reductiondry‐stack facilityexposuretailings damvulnerability

Identifiers

PMID41152027
PMCPMC12747679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.