Evidence map›Paper›PMID 39658579›Full record

ReviewCommunications medicine2024

A unified framework for diagnostic test development and evaluation during outbreaks of emerging infections.

Madhav Chaturvedi, Denise Köster, Patrick M Bossuyt, Oke Gerke, Annette Jurke, Mirjam E Kretzschmar, Marc Lütgehetmann, Rafael Mikolajczyk, Johannes B Reitsma, Nicole Schneiderhan-Marra and 6 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Communications medicine, 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. Article
  3. 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

16 authors.

Madhav Chaturvedi *Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.ORCID http://orcid.org/0009-0003-9801-5955
Denise Köster *Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID http://orcid.org/0000-0003-0975-3650
Patrick M BossuytAmsterdam University Medical Centers, University of Amsterdam, Epidemiology and Data Science, Amsterdam, The Netherlands.
Oke GerkeDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID http://orcid.org/0000-0001-6335-3303
Annette JurkeDepartment of Infectious Disease Epidemiology, NRW Centre for Health, Bochum, Germany.ORCID http://orcid.org/0000-0001-5245-8628
Mirjam E KretzschmarJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-4394-7697
Marc LütgehetmannInstitute of Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Rafael MikolajczykInstitute for Medical Epidemiology, Biometrics and Informatics, Interdisciplinary Center for Health Sciences, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle, Germany.
Johannes B ReitsmaJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Nicole Schneiderhan-MarraNMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0000-0001-6785-181X
Uwe SiebertDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT- University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Carina SteklyRoche Diagnostics GmbH, Penzberg, Germany.
Christoph EhretRoche Diagnostics GmbH, Penzberg, Germany.
Nicole RübsamenInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0003-2198-5577
André KarchInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany. andre.karch@ukmuenster.de.ORCID http://orcid.org/0000-0003-3014-8543
Antonia ZapfInstitute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) KA 5361/1-1Deutsche Forschungsgemeinschaft (German Research Foundation) ZA 687/3-1
6 · The paper itself

Abstract

Evaluating diagnostic test accuracy during epidemics is difficult due to an urgent need for test availability, changing disease prevalence and pathogen characteristics, and constantly evolving testing aims and applications. Based on lessons learned during the SARS-CoV-2 pandemic, we introduce a framework for rapid diagnostic test development, evaluation, and validation during outbreaks of emerging infections. The framework is based on the feedback loop between test accuracy evaluation, modelling studies for public health decision-making, and impact of public health interventions. We suggest that building on this feedback loop can help future diagnostic test evaluation platforms better address the requirements of both patient care and public health.

Identifiers

PMID39658579
PMCPMC11632097

What OpenQuestion holds

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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.