Evidence map›Paper›PMID 30963306›Full record

ArticleWiener medizinische Wochenschrift (1946)2020

An 18th century description of endometriosis : The autopsy of the Countess von Reitzenstein.

Robin M F van der Weiden, Detlef Haberland, Roland Sedivy, Jan G van den Tweel

Abstract readHistorical Article
PubMed Publisher
In one paragraph

Article in Wiener medizinische Wochenschrift (1946), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Unusual Manifestation of Membranous Dysmenorrhea: Case Report.The American journal of case reports · 2023
    Article
  2. 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

4 authors at 3 institutions in 2 countries.

Robin M F van der WeidenDepartment of Gynecology, Sint Franciscus Gasthuis, 3045 PM, Rotterdam, The Netherlands. rmfvdwei@knmg.nl.
Detlef HaberlandBundesinstitut für Kultur und Geschichte der Deutschen im östlichen Europa (BKGE), 26127, Oldenburg, Germany.
Roland SedivyDepartment of Pathology, Tirol-Kliniken, University Hospital Innsbruck, Innsbruck, Austria.
Jan G van den TweelDepartment of Pathology H4.312, University Medical Center Utrecht, Utrecht, The Netherlands.
Sint Franciscus Gasthuis · NLTirol Kliniken · ATUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Descriptions of endometriosis in 18th century monographs and manuscripts are rare and the recorded macroscopic features of endometriosis seldom support this attribution to the described cases. Recently, we became aware of an anonymous German autopsy report from the 18th century. After transcription, the manuscript was assessed by pathologists with historical expertise. This revealed that the patient died because of a malignant tumor, most probably of a gynecological origin. Furthermore, the described ovarian pathologic findings strongly support the diagnosis endometriotic ovarian cyst. Like Giovanni Battista Morgagni (1668-1772) in his landmark publication De Sedibus et Causis Morborum per Anatomen Indagatis (1761), the author correlated the pathological findings at autopsy with the symptoms of the patient. The identity of the patient could, with high probability, be established as being the Countess of Reitzenstein, the wife of a Prussian general major in the army of Friedrich the Great: Karl Erdmann von Reitzenstein (1722-1789).

Indexed as

EndometriosisPhysiciansAutopsyFemaleGermanyHistory, 18th CenturyHumansAbdominal neoplasmGiovanni Battista MorgagniGynecologyHistory of endometriosisReitzenstein

Identifiers

PMID30963306
OpenAlexW2937597162

What OpenQuestion holds

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Registered trials

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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.