Evidence map›Paper›PMID 41647597›Full record

ArticleESMO gastrointestinal oncology2024

Consistency of a clinical decision support system with molecular tumour board recommendations for tumour sequencing-guided treatment of pancreatic cancer.

M Kordes, L Malgerud, J-E Frödin, J Yachnin, C Fernandez Moro, S Ghazi, R Pozzi Mucelli, N Kartalis, P Ghorbani, M Del Chiaro and 4 more

Abstract read
In one paragraph

Article in ESMO gastrointestinal 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
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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

14 authors.

M KordesDepartment of Clinical Science, Innovation and Technology, Karolinska Institutet, Stockholm.
L MalgerudDepartment of Clinical Science, Innovation and Technology, Karolinska Institutet, Stockholm.
J-E FrödinDepartment of Upper Abdominal Diseases, Karolinska University Hospital, Stockholm.
J YachninPhase 1-Unit, Center for Clinical Cancer Studies, Karolinska University Hospital, Stockholm.
C Fernandez MoroDepartment of Laboratory Medicine.
S GhaziDepartment of Laboratory Medicine.
R Pozzi MucelliDepartment of Clinical Science, Innovation and Technology, Karolinska Institutet, Stockholm.
N KartalisDepartment of Clinical Science, Innovation and Technology, Karolinska Institutet, Stockholm.
P GhorbaniDepartment of Clinical Science, Innovation and Technology, Karolinska Institutet, Stockholm.
M Del ChiaroDepartment of Clinical Science, Innovation and Technology, Karolinska Institutet, Stockholm.
V WirtaDepartment of Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm.
M BjörnstedtDepartment of Laboratory Medicine.
M G LiljeforsDepartment of Clinical Science, Innovation and Technology, Karolinska Institutet, Stockholm.
J-M LöhrDepartment of Clinical Science, Innovation and Technology, Karolinska Institutet, Stockholm.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pancreatic ductal adenocarcinoma (PDACs) can have actionable genomic alterations at varying frequencies. Harnessing tumour profiling for its treatment is an intricate procedure because the matching of aberrations with therapeutic opportunities is increasingly complex. We evaluated a clinical decision support system (CDSS) that can be used to rationalise this process. Methods: Patients with advanced PDAC were enrolled in a prospective observational study to assess a CDSS, MH Guide. Sequencing data were analysed with the CDSS, and a study-specific molecular tumour board (MTB) assessed reported actionabilities, ineffective drugs, and excess toxicity warnings. We carried out a Results: We included 39 patients in the study, 31 had complete CDSS reports and 28 were discussed at the MTB. The CDSS made 80 treatment suggestions based on 61 actionable variants. It highlighted 14 inefficacy marker-drug pairs based on 7 individual markers and flagged a total of 15 individual markers of increased risks of drug-associated toxicity for 28 different cancer treatments. The study-specific MTB endorsed molecularly informed therapeutic options in 21 cases, but there was no exclusion of any drugs based on inefficacy or toxicity markers. The overall evidence underpinning assertions of actionability was weak. After the end of the study, eight patients received targeted treatment without signs of response or clinical benefit. Conclusion: The oncology CDSS MH Guide can be deployed along the care path of patients with advanced PDAC but a critical review of assertions from it is warranted.

Indexed as

cancer genomicsclinical decision support systemmolecular tumour boardpancreatic cancerprecision oncologytargeted therapies

Identifiers

PMID41647597
PMCPMC12836574

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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.