Evidence map›Paper›PMID 33457053›Full record

ArticleForensic sciences research2019

Forensic appraisal of death due to acute alcohol poisoning: three case reports and a literature review.

Hui Wang, Hongmei Xu, Wencan Li, Beixu Li, Qun Shi, Kaijun Ma, Bi Xiao, Long Chen

Open access · goldAbstract readCase Reports
In one paragraph

Article in Forensic sciences research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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, 7 citations in OpenAlex.

  1. Review
  2. Article
  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

8 authors at 2 institutions in 1 country.

Hui WangDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Hongmei XuDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Wencan LiInstitute of Criminal Scientific Technology, Shanghai Public Security Bureau, Pudong Branch, Shanghai, China.
Beixu LiDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Qun ShiForensic Laboratory, Criminal Science and Technology Institute, Shanghai Public Security Bureau, Shanghai, China.
Kaijun MaForensic Laboratory, Criminal Science and Technology Institute, Shanghai Public Security Bureau, Shanghai, China.
Bi XiaoForensic Laboratory, Criminal Science and Technology Institute, Shanghai Public Security Bureau, Shanghai, China.
Long ChenDepartment of Forensic Medicine, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Shanghai Medical College of Fudan University · CNShanghai Public Security Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Death due to acute alcohol poisoning lacks specific anatomical characteristics, compared with other deaths due to drug poisoning. We report three forensic cases of death from acute alcohol poisoning due to inhibition of the respiratory centre and eventual asphyxia. Blood alcohol concentrations in the three fatalities were 5.28, 3.33 and 3.78 mg/mL, respectively. Lethal doses and blood alcohol concentrations showed differences between individuals. Detailed auxiliary tests besides autopsy were undertaken. These cases show that forensic scientists should exclude other causes of death, combine the autopsy with auxiliary tests, and then make an appraisal.

Indexed as

acute alcohol poisoningblood alcohol concentrationcentral nervous system depressionforensic pathologyForensic sciences

Identifiers

PMID33457053
PMCPMC7781983
OpenAlexW2922141823

What OpenQuestion holds

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LicenceCC BY
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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.