Evidence map›Paper›PMID 41873516›Full record

ArticleResearch synthesis methods2026

Meta-analytic-predictive priors based on a single study.

Christian Röver, Tim Friede

Abstract read
In one paragraph

Article in Research synthesis methods, 2026. 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

2 authors.

Christian RöverDepartment of Medical Statistics, https://ror.org/021ft0n22University Medical Center Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0002-6911-698X
Tim FriedeDepartment of Medical Statistics, https://ror.org/021ft0n22University Medical Center Göttingen, Göttingen, Germany.ORCID https://orcid.org/0000-0001-5347-7441

Funding

Deutsches Zentrum für Herz-Kreislaufforschung 81Z0300108
6 · The paper itself

Abstract

Meta-analytic-predictive (MAP) priors have been proposed as a generic approach to deriving informative prior distributions, where external empirical data are processed to learn about certain parameter distributions. The use of MAP priors is also closely related to shrinkage estimation (also sometimes referred to as

Indexed as

bias allowancedynamic borrowingMAP priorpower priorrandom-effects meta-analysisshrinkage estimation

Identifiers

PMID41873516
PMCPMC13311358

What OpenQuestion holds

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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.