Evidence map›Paper›PMID 32685082›Full record

ArticleRadiology case reports2020

Unusual foreign bodies visualized by postmortem computed tomography in a deceased with borderline personality disorder.

Rilana Baumeister, Michael Josef Thali

Open access · goldAbstract readCase Reports
In one paragraph

Article in Radiology case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Rilana BaumeisterDepartment of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, Zurich CH-8057, Switzerland.
Michael Josef ThaliDepartment of Forensic Medicine and Imaging, Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, Zurich CH-8057, Switzerland.
University of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this case report is the visualization and assessment of ingested or inserted foreign bodies by postmortem computed tomography and autopsy. The presence of foreign objects in the gastrointestinal tract involves, among many other medical subdisciplines, the fields of forensic medicine and psychiatry. We present a case of an 18-year-old female Caucasian with borderline personality disorder who was found unconscious in a closed psychiatric ward with suspected ingested foreign bodies. Cardiopulmonary resuscitation was unsuccessful. Postmortem computed tomography revealed several sharp foreign bodies in the intestine varying in radiodensity and shape but not perforating any anatomic structures. The autopsy showed well-preserved tablets in the intestine, a few inserted glass fragments and one metal fragment. Ultimately, fatal intoxication involving a mixture of opioids, benzodiazepines, neuroleptics and antidepressants resulted. This case illustrates the potential contribution of postmortem computed tomography in diagnosing, localizing and defining ingested and inserted foreign bodies in deceased as well as living individuals. Thus, diagnostic imaging might increase safety not only for the affected individuals but also for medical staff.

Indexed as

CT, computed tomographyForeign objectsForensic imagingHU, Hounsfield UnitsIntentional ingestionIntoxicationMental healthPMCTPMCT, postmortem computed tomography

Identifiers

PMID32685082
PMCPMC7358626
OpenAlexW3040750762

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.