Evidence map›Paper›PMID 39636443›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2025

[Prioritization of research questions in health crises-presentation of a concept developed during the COVID-19 pandemic].

Annika Ziegler, Angela M Kunzler, Sebastian Voigt-Radloff, Jochen Schmitt, Onnen Moerer, Simone Scheithauer, Heike Heytens, Christian Apfelbacher, Joerg J Meerpohl

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2025. 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
–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

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

9 authors.

Annika ZieglerInstitut für Evidenz in der Medizin, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland. annika.ziegler@uniklinik-freiburg.de.
Angela M KunzlerInstitut für Evidenz in der Medizin, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland.
Sebastian Voigt-RadloffInstitut für Medizinische Biometrie und Statistik, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland.
Jochen SchmittZentrum für Evidenzbasierte Gesundheitsversorgung (ZEGV), Medizinische Fakultät und Universitätsklinikum Carl Gustav Carus, Technische Universität Dresden, Dresden, Deutschland.
Onnen MoererKlinik für Anästhesiologie, Universitätsmedizin Göttingen, Georg-August-Universität Göttingen, Göttingen, Deutschland.
Simone ScheithauerInstitut für Krankenhaushygiene und Infektiologie, Universitätsmedizin Göttingen, Georg-August-Universität Göttingen, Göttingen, Deutschland.
Heike HeytensInstitut für Sozialmedizin und Gesundheitssystemforschung, Universitätsklinikum Magdeburg, Medizinische Fakultät, Otto-von-Guericke-Universität Magdeburg, Magdeburg, Deutschland.
Christian ApfelbacherInstitut für Sozialmedizin und Gesundheitssystemforschung, Universitätsklinikum Magdeburg, Medizinische Fakultät, Otto-von-Guericke-Universität Magdeburg, Magdeburg, Deutschland.
Joerg J MeerpohlInstitut für Evidenz in der Medizin, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In acute crises such as the COVID-19 pandemic, scientific questions need to be addressed quickly in order to protect the health of the population and to maintain the function of the healthcare system. The prevailing urgency and the large number of issues to be addressed, combined with the limitation of time, personnel, or monetary resources make prioritization indispensable. In the COVID-19 Evidence Ecosystem (CEOsys) project initiated by the University Medicine Network (NUM), a procedure for the rapid prioritization of questions was used specifically for evidence syntheses and clinical guideline recommendations, which was further developed in the follow-up project PREparedness and Pandemic Response in Germany (PREPARED).The result is a concept paper on the prioritization of research questions and topics with a more generic orientation. The content of the concept is presented in this article. The core subjects are basic principles of successful prioritization as well as an explicit seven-step process with information on organizational framework conditions and the procedure. The concept offers possibilities for adaptation, as research prioritization is highly context-dependent.The application of such a systematic, transparent prioritization process contributes to comprehensible and informed decisions about which research questions are relevant and urgent, in which order they should be processed, and which issues are not critically urgent or have to be postponed.

Indexed as

Biomedical ResearchCOVID-19Health PrioritiesPandemicsEvidence-Based MedicineGermanyHumansSARS-CoV-2Concept paperCrisis managementNetwork University Medicine (NUM)Research prioritizationResource allocation

Identifiers

PMID39636443
PMCPMC11732861

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.