Evidence map›Paper›PMID 38485733›Full record

ReviewNPJ genomic medicine2024

Genomes in clinical care.

Olaf Riess, Marc Sturm, Benita Menden, Alexandra Liebmann, German Demidov, Dennis Witt, Nicolas Casadei, Jakob Admard, Leon Schütz, Stephan Ossowski and 5 more

Abstract readReview
In one paragraph

Review in NPJ genomic medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

15 authors.

Olaf RiessInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany. Olaf.riess@med.uni-tuebingen.de.ORCID http://orcid.org/0000-0002-7011-1369
Marc SturmInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-6552-8362
Benita MendenInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Alexandra LiebmannInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
German DemidovInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-9075-4276
Dennis WittInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-8485-4860
Nicolas CasadeiInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0003-2209-0580
Jakob AdmardInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0003-0466-582X
Leon SchützInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-7907-4878
Stephan OssowskiInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Stacie TaylorIllumina, Inc, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-6843-3505
Sven SchafferIllumina, Inc, San Diego, CA, USA.
Christopher SchroederInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.
Andreas DufkeInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-5616-5010
Tobias HaackInstitute of Medical Genetics and Applied Genomics, University of Tübingen, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of precision medicine, genome sequencing (GS) has become more affordable and the importance of genomics and multi-omics in clinical care is increasingly being recognized. However, how to scale and effectively implement GS on an institutional level remains a challenge for many. Here, we present Genome First and Ge-Med, two clinical implementation studies focused on identifying the key pillars and processes that are required to make routine GS and predictive genomics a reality in the clinical setting. We describe our experience and lessons learned for a variety of topics including test logistics, patient care processes, data reporting, and infrastructure. Our model of providing clinical care and comprehensive genomic analysis from a single source may be used by other centers with a similar structure to facilitate the implementation of omics-based personalized health concepts in medicine.

Identifiers

PMID38485733
PMCPMC10940576

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.