Evidence map›Paper›PMID 38327081›Full record

Trial reportStatistical methods in medical research2024

A diagnostic phase III/IV seamless design to investigate the diagnostic accuracy and clinical effectiveness using the example of HEDOS and HEDOS II.

Amra Pepić, Maria Stark, Tim Friede, Annette Kopp-Schneider, Silvia Calderazzo, Maria Reichert, Michael Wolf, Ulrich Wirth, Stefan Schopf, Antonia Zapf

Abstract readClinical Trial, Phase IIIClinical Trial, Phase IV
In one paragraph

Trial report in Statistical methods in medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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

10 authors.

Amra PepićInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.ORCID 0000-0002-9266-4554
Maria StarkInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
Tim FriedeDepartment of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany.ORCID 0000-0001-5347-7441
Annette Kopp-SchneiderDivision of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Silvia CalderazzoDivision of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Maria ReichertCRI-The Clinical Research Institute, Munich, Germany.
Michael WolfCRI-The Clinical Research Institute, Munich, Germany.
Ulrich WirthClinic for General, Visceral and Transplant Surgery, Hospital of the Ludwig-Maximilians-University, Munich, Germany.
Stefan SchopfRoMed Klinik Bad Aibling, Academic University Hospital of the Technical University of Munich, Bad Aibling, Germany.
Antonia ZapfInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.ORCID 0000-0002-8467-0508

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development process of medical devices can be streamlined by combining different study phases. Here, for a diagnostic medical device, we present the combination of confirmation of diagnostic accuracy (phase III) and evaluation of clinical effectiveness regarding patient-relevant endpoints (phase IV) using a seamless design. This approach is used in the Thyroid HEmorrhage DetectOr Study (HEDOS & HEDOS II) investigating a post-operative hemorrhage detector named ISAR-M THYRO® in patients after thyroid surgery. Data from the phase III trial are reused as external controls in the control group of the phase IV trial. An unblinded interim analysis is planned between the two study stages which includes a recalculation of the sample size for the phase IV part after completion of the first stage of the seamless design. The study concept presented here is the first seamless design proposed in the field of diagnostic studies. Hence, the aim of this work is to emphasize the statistical methodology as well as feasibility of the proposed design in relation to the planning and implementation of the seamless design. Seamless designs can accelerate the overall trial duration and increase its efficiency in terms of sample size and recruitment. However, careful planning addressing numerous methodological and procedural challenges is necessary for successful implementation as well as agreement with regulatory bodies.

Indexed as

HemorrhageResearch DesignControl GroupsHumansSample SizeTreatment Outcomeadaptive designdiagnostic accuracyexternal controlspower priorSeamless design

Identifiers

PMID38327081
PMCPMC10981198

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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.