Evidence map›Paper›PMID 34073254›Full record

ArticleInternational journal of environmental research and public health2021

Medication of Hydroxychloroquine, Remdesivir and Convalescent Plasma during the COVID-19 Pandemic in Germany-An Ethical Analysis.

Katja Voit, Cristian Timmermann, Florian Steger

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
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

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

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

3 authors.

Katja VoitInstitute of the History, Philosophy and Ethics of Medicine, Ulm University, 89073 Ulm, Germany.
Cristian TimmermannInstitute of the History, Philosophy and Ethics of Medicine, Ulm University, 89073 Ulm, Germany.ORCID 0000-0001-7935-2823
Florian StegerInstitute of the History, Philosophy and Ethics of Medicine, Ulm University, 89073 Ulm, Germany.ORCID 0000-0001-8108-1591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to analyze the ethical challenges in experimental drug use during the early stage of the COVID-19 pandemic, using Germany as a case study. In Germany uniform ethical guidelines were available early on nationwide, which was considered as desirable by other states to reduce uncertainties and convey a message of unity. The purpose of this ethical analysis is to assist the preparation of future guidelines on the use of medicines during public health emergencies. The use of hydroxychloroquine, remdesivir and COVID-19 convalescent plasma in clinical settings was analyzed from the perspective of the ethical principles of beneficence, non-maleficence, justice and autonomy. We observed that drug safety and drug distribution during the pandemic affects all four ethical principles. We therefore recommend to establish ethical guidelines (i) to discuss experimental treatment options with patients from all population groups who are in urgent need, (ii) to facilitate the recording of patient reactions to drugs in off-label use, (iii) to expand inclusion criteria for clinical studies to avoid missing potentially negative effects on excluded groups, and (iv) to maintain sufficient access to repurposed drugs for patients with prior conditions.

Indexed as

COVID-19COVID-19 Drug TreatmentHydroxychloroquineAdenosine MonophosphateAlanineCOVID-19 SerotherapyEthical AnalysisGermanyHumansImmunization, PassivePandemicsSARS-CoV-2Adenosine MonophosphateAlanineHydroxychloroquineremdesivirclinical ethicsdisease outbreakepidemicpharmaceutical preparationspublic healthSARS-CoV-2

Identifiers

PMID34073254
PMCPMC8197849

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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.