Evidence map›Paper›PMID 40042437›Full record

ArticleStatistics in medicine2025

A Seamless Design for the Combination of a Case-Control and a Cohort Diagnostic Accuracy Study.

Eric Bibiza-Freiwald, Werner Vach, Antonia Zapf

Abstract read
In one paragraph

Article in Statistics in medicine, 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

3 authors.

Eric Bibiza-FreiwaldDepartment of Medical Statistics, SGS proderm GmbH, Schenefeld, Germany.ORCID 0000-0002-4560-8672
Werner VachBasel Academy for Quality and Research in Medicine, Basel, Switzerland.
Antonia ZapfInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0001-5339-2472

Funding

Deutsche Forschungsgemeinschaft ZA 687/3-1
6 · The paper itself

Abstract

In determining the accuracy of a new diagnostic test, often two steps are performed. In the first step, a case-control study is performed as an efficient but potentially biased design. In a second step, a population-based cohort study is performed as an unbiased but less efficient design. In order to accelerate diagnostic research, it has recently been suggested to combine the two designs in one seamless design. In this article, we present a more in-depth description of this idea. The seamless diagnostic accuracy study design is formally introduced by comparison with the traditional pathway, and the basic design decisions are discussed: A stopping rule and a stopping time. An appealing feature of the design is the possibility to ignore the seamless design in the final analysis, although part of the data is used already in an interim analysis. The justification for this strategy is provided by a large-scale simulation study. The simulation study suggests also that the risk of a loss of power due to using a seamless design can be limited by a reasonable choice of the futility boundaries, defining the stopping rule. We conclude that the seamless diagnostic accuracy study design seems to be ready to use. It promises to accelerate diagnostic research, in particular if population-based cohort studies can be started without great efforts and if the reference standard can be evaluated with little delay.

Indexed as

Diagnostic Tests, RoutineResearch DesignCase-Control StudiesCohort StudiesComputer SimulationHumansadaptive designdiagnostic accuracy studyresearch accelerationseamless designsimulation study

Identifiers

PMID40042437
PMCPMC11881794

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Registered trials

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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.