Evidence map›Paper›PMID 40615835›Full record

SynthesisBMC medical ethics2025

Bioethics at the intersection of politics, society, and healthcare: the significance of media debate analyses.

Niklas Ellerich-Groppe, Bettina M Zimmermann

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical ethics, 2025. 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. Digital bioethics: exploring an emerging field.Medicine, health care, and philosophy · 2026
    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.

Niklas Ellerich-GroppeDivision of Ethics in Medicine, Department for Health Services Research, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Bettina M ZimmermannInstitute of History and Ethics in Medicine, TUM School of Medicine & Health, Technical University of Munich, Munich, Germany. bettina.zimmermann@tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the "empirical turn" in bioethics, empirical inquiries have gained momentum in bioethical research. However, the relevance of the systematic analysis of media debates for empirical bioethics and the corresponding methodological requirements have so far been rather underexplored. Thus, the existing approaches are methodologically heterogeneous and their significance for bioethical inquiries has not been systematically discussed. In this paper, we provide a critical reflection on the significance of media debate analyses for bioethics, which lies in the possibility of investigating the unique intersection of bioethics, politics, society, and healthcare. Through a rapid scoping review, we outline the characteristics of published media debate analyses and show the heterogeneity of the field in terms of methodologies, academic disciplines, and topics covered. We identify four levels on which these publications contribute to bioethics research: (1) by providing a descriptive empirical context; (2) by describing ethical aspects of a health topic; (3) by identifying and evaluating moral problems; and (4) by providing an ethical evaluation of media debates. Based on this, we outline basic methodological requirements, address the limitations of media debate analyses for bioethics, and indicate recent and future advancements in the field.

Indexed as

BioethicsDelivery of Health CareDissent and DisputesMass MediaPoliticsHumansMoralsBiomedical ethicsEmpirical bioethicsEthical analysisMedia discourseMethodologyPublic debate

Identifiers

PMID40615835
PMCPMC12231874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.