Evidence map›Paper›PMID 37402014›Full record

ArticleInternational journal of legal medicine2023

Pulmonary capillaritis as a cause of lethal diffuse alveolar hemorrhage.

Christine Suess, Melanie Schwartz, Roland Hausmann

Abstract readCase Reports
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In one paragraph

Article in International journal of legal medicine, 2023. 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. Review
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.

Christine SuessInstitute of Legal Medicine, Cantonal Hospital St. Gallen, Rorschacherstrasse 95, CH-9007, St. Gallen, Switzerland. christineelisabeth.suess@kssg.ch.ORCID http://orcid.org/0009-0001-6972-5849
Melanie SchwartzInstitute of Legal Medicine, Cantonal Hospital St. Gallen, Rorschacherstrasse 95, CH-9007, St. Gallen, Switzerland.
Roland HausmannInstitute of Legal Medicine, Cantonal Hospital St. Gallen, Rorschacherstrasse 95, CH-9007, St. Gallen, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lethal pulmonary hemoptysis is a common finding in forensic medicine. Since hemoptysis does not necessarily occur before death and its previous symptoms are usually unspecific, indicative signs or findings at the site of a corpse may be completely absent. If lethal acute alveolar hemorrhage is found in the post-mortem examination, a differential diagnosis should be made for traumatic, substance-related, infectious, or organic causes. Cocaine-associated pulmonary hemorrhage and drug reactions are in the foreground. For organic causes, autoimmune diseases should be considered in addition to cardiac, haematological, and infectious causes. The following two cases show similarities both in the sudden, unexpected deaths and the anamnesis of the two deceased women. One of the deceased received a Corona vaccination a few months earlier. In each case, the post-mortem examination revealed an acute diffuse pulmonary hemorrhage caused by acute inflammation of the lung capillaries. This case presentation demonstrates the necessity of a complete autopsy including toxicological and histological analyses. The documentation and publication of rare causes of death are essential for medical research and practice in order to critically consider and discuss the possibility of to date unknown associations in similar cases.

Indexed as

CapillariesHemoptysisHemorrhageLungLung DiseasesPulmonary AlveoliVasculitisAdultFemaleHumansMiddle AgedCoronavirus vaccinationDiffuse alveolar hemorrhageForensic autopsyPulmonary capillaritisSudden death

Identifiers

What OpenQuestion holds

Textmetadata
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.