Evidence map›Paper›PMID 29479111›Full record

ArticleGeburtshilfe und Frauenheilkunde2018

Pregnancy-associated Death - Clarifying the Cause of Death and Medico-legal Assessments in Accusations of Malpractice.

Reinhard Dettmeyer, Juliane Lang, Rainer Amberg, Barbara Zedler, Ronald Schulz, Christoph Birngruber

Abstract read
In one paragraph

Article in Geburtshilfe und Frauenheilkunde, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Reinhard DettmeyerInstitut für Rechtsmedizin, Universitätsklinikum Gießen & Marburg GmbH, Justus-Liebig-Universität Gießen, Gießen, Germany.
Juliane LangInstitut für Rechtsmedizin, Universitätsklinikum Gießen & Marburg GmbH, Justus-Liebig-Universität Gießen, Gießen, Germany.
Rainer AmbergFacharztpraxis für Rechtsmedizin Freiburg, Freiburg, Germany.
Barbara ZedlerInstitut für Rechtsmedizin, Universitätsklinikum Gießen & Marburg GmbH, Justus-Liebig-Universität Gießen, Gießen, Germany.
Ronald SchulzInstitut für Rechtsmedizin, Westfälische Wilhelms-Universität Münster, Münster, Germany.
Christoph BirngruberInstitut für Rechtsmedizin, Universitätsklinikum Gießen & Marburg GmbH, Justus-Liebig-Universität Gießen, Gießen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnancy-associated deaths are extremely rare in Germany. Most deaths are from natural causes, and a range of causes are possible.

methodThe deaths of 22 women who died of pregnancy-associated causes and who were autopsied in the Institute of Forensic Medicine of Justus-Liebig University Gießen between 1992 and 2016 were analyzed.

resultsThe autopsy results and histological examinations for the majority of women who died of pregnancy-associated causes between 1992 and 2016 showed that they had died of natural causes, although complications of pregnancy were a leading cause of death.

conclusionThe death of a pregnant woman should not automatically raise the suspicion of malpractice, although the question does arise in cases of bleeding complications only detected at very late stages. Experts must prove that a real mistake was made during treatment and provide evidence of the causality between malpractice and patient death. Particularly when well-known complications of pregnancy were present, this is only the case if poor monitoring resulted in the complication being detected too late or if treatment was not in accordance with accepted standards of care. The majority of pregnancy-associated deaths are from natural causes and the death of a pregnant woman does not mean that medical malpractice was involved, although this accusation is often levelled in cases where rupture was not immediately diagnosed or in cases of fatal postpartum hemorrhage.

Indexed as

ectopic pregnancyHELLP syndromemiscarriagepregnancy

Identifiers

PMID29479111
PMCPMC5818275

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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.