Evidence map›Paper›PMID 35354211›Full record

ArticleApplied clinical informatics2022

Searching of Clinical Trials Made Easier in cBioPortal Using Patients' Genetic and Clinical Profiles.

Philipp Unberath, Lukas Mahlmeister, Niklas Reimer, Hauke Busch, Melanie Boerries, Jan Christoph

Abstract read
In one paragraph

Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Philipp UnberathFriedrich-Alexander University Erlangen-Nuremberg, Chair of Medical Informatics, Erlangen, Bayern, Germany.
Lukas MahlmeisterFriedrich-Alexander University Erlangen-Nuremberg, Chair of Medical Informatics, Erlangen, Bayern, Germany.
Niklas ReimerUniversität zu Lübeck, Group for Medical Systems Biology, Lübeck Institute of Experimental Dermatology, Lübeck, Schleswig-Holstein, Germany.
Hauke BuschUniversität zu Lübeck, Group for Medical Systems Biology, Lübeck Institute of Experimental Dermatology, Lübeck, Schleswig-Holstein, Germany.
Melanie BoerriesUniversity of Freiburg Faculty of Medicine, Institute of Medical Bioinformatics and Systems Medicine, University Medical Center Freiburg, Freiburg, Baden-Württemberg, Germany.
Jan ChristophFriedrich-Alexander University Erlangen-Nuremberg, Chair of Medical Informatics, Erlangen, Bayern, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular tumor boards (MTBs) cope with the complexity of an increased usage of genome sequencing data in cancer treatment. As for most of these patients, guideline-based therapy options are exhausted, finding matching clinical trials is crucial. This search process is often performed manually and therefore time consuming and complex due to the heterogeneous and challenging dataset.

objectivesIn this study, a prototype for a search tool was developed to demonstrate how cBioPortal as a clinical and genomic patient data source can be integrated with ClinicalTrials.gov, a database of clinical studies to simplify the search for trials based on genetic and clinical data of a patient. The design of this tool should rest on the specific needs of MTB participants and the architecture of the integration should be as lightweight as possible and should not require manual curation of trial data in advance with the goal of quickly and easily finding a matching study.

methodsBased on a requirements analysis, interviewing MTB experts, a prototype was developed. It was further refined using a user-centered development process with multiple feedback loops. Finally, the usability of the application was evaluated with user interviews including the thinking-aloud protocol and the system usability scale (SUS) questionnaire.

resultsThe integration of ClinicalTrials.gov in cBioPortal is achieved by a new tab in the patient view where the genomic profile for the search is prefilled and additional parameters can be adjusted. These parameters are then used to query the application programming interface (API) of ClinicalTrials.gov. The returned search results subsequently are ranked and presented to the user. The evaluation of the application resulted in an SUS score of 83.5.

conclusionThis work demonstrates the integration of cBioPortal with ClinicalTrials.gov to use clinical and genomic patient data to search for appropriate trials within an MTB.

Indexed as

GenomicsInformation Storage and RetrievalDatabases, FactualHumansSearch EngineSoftware

Identifiers

PMID35354211
PMCPMC8967483

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.