Evidence map›Paper›PMID 38411664›Full record

ReviewChirurgie (Heidelberg, Germany)2024

[Tailored surgery in the treatment of gastroesophageal cancer].

Thomas Schmidt, Hans F Fuchs, Michael N Thomas, Dolores T Müller, Leandra Lukomski, Matthias Scholz, Christiane J Bruns

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Chirurgie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Thomas SchmidtKlinik und Poliklinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland. thomas.schmidt1@uk-koeln.de.
Hans F FuchsKlinik und Poliklinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland.
Michael N ThomasKlinik und Poliklinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland.
Dolores T MüllerKlinik und Poliklinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland.
Leandra LukomskiKlinik und Poliklinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland.
Matthias ScholzKlinik und Poliklinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland.
Christiane J BrunsKlinik und Poliklinik für Allgemein‑, Viszeral‑, Tumor- und Transplantationschirurgie, Uniklinik Köln, Kerpenerstr. 62, 50937, Köln, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The surgical options and particularly perioperative treatment, have significantly advanced in the case of gastroesophageal cancer. This progress enables a 5-year survival rate of nearly 50% to be achieved through curative multimodal treatment concepts for locally advanced cancer. Therefore, in tumor boards and surgical case discussions the question increasingly arises regarding the type of treatment that provides optimal oncological and functional outcomes for individual patients with pre-existing diseases. It is therefore essential to carefully assess whether organ-preserving treatment might also be considered in the future or in what way minimally invasive or robotic surgery can offer advantages. Simultaneously, the boundaries of surgical and oncological treatment are currently being shifted in order to enable curative forms of treatment for patients with pre-existing conditions or those with oligometastatic diseases. With the integration of artificial intelligence into decision-making processes, new possibilities for information processing are increasingly becoming available to incorporate even more data into making decisions in the future.

Indexed as

Esophageal NeoplasmsStomach NeoplasmsArtificial IntelligenceCombined Modality TherapyHumansArtificial intelligenceCurative treatmentEsophageal cancerMultimodal treatmentOligometastasis

Identifiers

What OpenQuestion holds

Textmetadata
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.