Evidence map›Paper›PMID 41648732›Full record

ReviewESMO gastrointestinal oncology2024

Improving gastrointestinal cancer therapy by uniting stakeholders.

M Quante, A Saborowski, C B Westphalen, 2023 Translational and Precision GI-Oncology—Bench to Bedside Meeting

Abstract readReview
In one paragraph

Review 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
–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

4 authors.

M QuanteMedizinische Klinik II Universitätsklinikum Freiburg, Universität Freiburg, Freiburg.
A SaborowskiDepartment of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology, Hannover Medical School, Hannover.
C B WestphalenDepartment of Medicine III, University Hospital, LMU Munich, Comprehensive Cancer Center (CCC Munich LMU), German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany.
2023 Translational and Precision GI-Oncology—Bench to Bedside Meeting

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal (GI) cancer-an umbrella term for cancers that affect the digestive system and other abdominal organs-includes some malignancies with the lowest survival rates. To improve patient outcomes, patients must have access to optimal treatment including precision oncology, a method of determining the most effective treatment for an individual cancer patient by identifying predictive biomarkers through the use of advanced molecular diagnostics. While many powerful molecular profiling technologies have already been developed, their uptake in the management of GI cancers could be improved. To bridge this gap, better coordination among three interdependent stakeholders-scientists, clinicians, and industry professionals-is essential. The first Translational and Precision GI-Oncology-Bench to Bedside Meeting was held on 23-28 April 2023 in Freiburg, Germany. The 3-day meeting offered the opportunity for scientists, clinicians, and industry professionals in the field of GI cancer to exchange ideas about how to improve the translation of basic science into clinical practice. One-hundred and twenty participants attended the meeting, which featured 47 presentations covering the following five topics: bedside, analytical approaches for treatment and real-world data, new ideas and biomarkers, novel technologies, and drugs. A summary of the 2023 meeting is provided in this report.

Indexed as

academic researchGI oncologyindustry participationprecision medicinetechnology

Identifiers

PMID41648732
PMCPMC12836728

What OpenQuestion holds

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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.