Evidence map›Paper›PMID 36817257›Full record

ArticleForensic sciences research2022

Identification of victims of the collapse of a mine tailing dam in Brumadinho.

Ricardo Moreira Araújo, Yara Vieira Lemos, Erlon Dias do Nascimento, Anna Helena Silva Paraizo, Alberto Julius Alves Wainstein, Ana Paula Drummond-Lage

Open access · greenAbstract read
In one paragraph

Article in Forensic sciences research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Ricardo Moreira AraújoFaculty of Medical Sciences of Minas Gerais, Belo Horizonte, Brazil.
Yara Vieira LemosFaculty of Medical Sciences of Minas Gerais, Belo Horizonte, Brazil.
Erlon Dias do NascimentoCorpo de Bombeiros Militar de Minas Gerais, Juiz de Fora, Brazil.
Anna Helena Silva ParaizoInstituto Médico Legal André Roquette, Belo Horizonte, Brazil.
Alberto Julius Alves WainsteinFaculty of Medical Sciences of Minas Gerais, Belo Horizonte, Brazil.
Ana Paula Drummond-LageFaculty of Medical Sciences of Minas Gerais, Belo Horizonte, Brazil.ORCID https://orcid.org/0000-0003-0289-8953
Faculdade de Ciências Médicas de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The collapse of the B1 Dam of VALE SA mining company in Brumadinho, Minas Gerais, Brazil was the largest humanitarian disaster and occupational accident in the country's history, and it posed challenges regarding the management and identification of multiple victims. We evaluated the impact of the iron ore tailings on the victims' bodies. We examined the scientific identification of the victims and the dynamics of the disaster over the 1st year after it occurred. We also determined the socio-demographic profiles of the victims. In this retrospective, cross-sectional study, we investigated the expert reports of the victims' biological remains from 25 January 2019 to 25 January 2020. We analysed the socio-demographic data, identification methods, identification status, identification time, and necroscopic information. During the study period, 259 of 270 victims were identified, and 603 biological materials were analysed; among them, 86.2% were body parts and 13.8% were whole bodies. Of the total cases registered that year, 476 (78.9%) were submitted during the first 10 weeks after the disaster. Friction ridge analysis accounted for 67.9% of primary identifications and DNA analysis did so for 91.6% of re-identification cases. Body dismemberment was 3.4 times greater among mine workers than among community victims. Adult males accounted for the greatest number of victims (

Indexed as

developing countriesDisasterslegal medicineman-made disastersminingtailingstraumatic amputationvictim identification

Identifiers

PMID36817257
PMCPMC9930756
OpenAlexW4321612268

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.