Evidence map›Paper›PMID 39544296›Full record

ArticleFrontiers in oncology2024

Case report: A case study of variant calling pipeline selection effect on the molecular diagnostics outcome.

Rostislav Skitchenko, Sergey Smirnov, Mikhail Krapivin, Anna Smirnova, Mykyta Artomov, Alexander Loboda, Yulia Dinikina

Abstract readCase Reports
In one paragraph

Article in Frontiers in oncology, 2024. 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

7 authors.

Rostislav SkitchenkoLaboratory of Computer Modelling and Artificial Intelligence, Almazov National Medical Research Centre, St. Petersburg, Russia.
Sergey SmirnovLaboratory of Computer Modelling and Artificial Intelligence, Almazov National Medical Research Centre, St. Petersburg, Russia.
Mikhail KrapivinLaboratory of Computer Modelling and Artificial Intelligence, Almazov National Medical Research Centre, St. Petersburg, Russia.
Anna SmirnovaLaboratory of Computer Modelling and Artificial Intelligence, Almazov National Medical Research Centre, St. Petersburg, Russia.
Mykyta ArtomovThe Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, United States.
Alexander LobodaLaboratory of Computer Modelling and Artificial Intelligence, Almazov National Medical Research Centre, St. Petersburg, Russia.
Yulia DinikinaLaboratory of Computer Modelling and Artificial Intelligence, Almazov National Medical Research Centre, St. Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing technologies have not only defined a breakthrough in medical genetics, but also been able to enter routine clinical practice to determine individual genetic susceptibilities. Modern technological developments are routinely introduced to genetic analysis overtaking the established approaches, potentially raising a number of challenges. To what extent is the advantage of new methodologies in synthetic metrics, such as precision and recall, more important than stability and reproducibility? Could differences in the technical protocol for calling variants be crucial to the diagnosis and, by extension, the patient's treatment strategy? A regulatory review process may delay the incorporation of potentially beneficial technologies, resulting in missed opportunities to make the right medical decisions. On the other hand, a blind adoption of new technologies based solely on synthetic metrics of precision and recall can lead to incorrect conclusions and adverse outcomes for the specific patient. Here, we use the example of a patient with a WHO-diagnosed desmoplastic/nodular SHH-medulloblastoma to explore how the choice of DNA variant search protocol affects the genetic diagnostics outcome.

Indexed as

DeepVariantgermlineHaplotypeCallerpediatric oncologySHH medulloblastomaundiagnosed casesvariant calling

Identifiers

PMID39544296
PMCPMC11560904

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.