Evidence map›Paper›PMID 30559831›Full record

ArticleEuropean surgery : ACA : Acta chirurgica Austriaca2018

• Pancho trial (p53-adapted neoadjuvant chemotherapy for resectable esophageal cancer) completed-mutation rate of the marker higher than expected.

Sonja Kappel-Latif, Johannes Zacherl, Michael Hejna, Maria Westerhoff, Dietmar Tamandl, Ahmed Ba-Ssalamah, Martina Mittlböck, Brigitte Wolf, Friedrich Wrba, Irene Kührer and 16 more

Abstract read
In one paragraph

Article in European surgery : ACA : Acta chirurgica Austriaca, 2018. 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

26 authors.

Sonja Kappel-Latif1Division of General Surgery, Department of Surgery, Research Laboratories, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-1972-2209
Johannes Zacherl2Division of General Surgery, Department of Surgery and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Michael Hejna3Division of Oncology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Maria Westerhoff4Department of Pathology, University of Michigan, Ann Arbor, MI USA.
Dietmar Tamandl5Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Ahmed Ba-Ssalamah5Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Martina Mittlböck6Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Brigitte Wolf1Division of General Surgery, Department of Surgery, Research Laboratories, Medical University of Vienna, Vienna, Austria.
Friedrich Wrba7Department of Pathology, Medical University of Vienna, Vienna, Austria.
Irene Kührer2Division of General Surgery, Department of Surgery and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Ursula Pluschnig3Division of Oncology, Department of Internal Medicine I, Medical University of Vienna, Vienna, Austria.
Sebastian F Schoppmann2Division of General Surgery, Department of Surgery and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Reinhold Függer8Department of Surgery, Elisabethinen Hospital Linz, Linz, Austria.
Ronald ZwrtekDepartment of Surgery, Landesklinikum Mistelbach, Mistelbach, Austria.
Karl Glaser10Department of General‑, Visceral- and Tumor Surgery, Wilhelminenspital, Vienna, Austria.
Josef Karner11Department of Surgery, Kaiser Franz Josef Hospital, Vienna, Austria.
Friedrich LängleDepartment of Surgery, Landesklinikum Wr. Neustadt, Wr. Neustadt, Austria.
Etienne Wenzl13Department of General‑, Visceral- and Thoracic Surgery, Landeskrankenhaus Feldkirch, Feldkirch, Austria.
Rudolf Roka14Department of Surgery I, Krankenanstalt Rudolfstiftung, Vienna, Austria.
Dietmar Öfner15Department of Visceral- , Transplant- and Thoracic Surgery, Medical University Innsbruck, Innsbruck, Austria.
Jörg TschmelitschDepartment of Surgery, Hospital Barmherzige Brüder St. Veit/Glan, St. Veit/Glan, Austria.
Michael Hold17Department of Surgery and Vascular Surgery, Hanusch Hospital, Vienna, Austria.
Felix KeilDepartment of Hematology and Oncology, Landeskrankenhaus Leoben, Leoben, Austria.
Michael Gnant2Division of General Surgery, Department of Surgery and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Daniela Kandioler2Division of General Surgery, Department of Surgery and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Pancho trialists and for the Medical University of Vienna p53research group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn operable esophageal cancer patients, neoadjuvant therapy benefits only those who respond to the treatment. The • Pancho trial represents the first prospective randomized trial evaluating the relevance of the mark53 status for predicting the effect of two different neoadjuvant chemotherapies.

methodBiomarker analysis was conducted using the mark53 analysis. Calculation of patient number needed was based on a 60% rate of marker positivity, deduced from the results of a phase II pilot study.

resultsFrom 2007-2012, the • Pancho trial recruited 235 patients with operable esophageal cancer in Austria. A total of 181 patients were eligible and could be subjected to mark53 analysis and randomization. After randomizing 74 patients, the overall

conclusionDue to high medical need, the recruitment for the academic trial was excellent. Mark53 analysis clearly detected more mutations in the

Indexed as

Mark53Predictive markerRandomized biomarker trialResponse prediction

Identifiers

PMID30559831
PMCPMC6290852

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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.