Evidence map›Paper›PMID 35461024›Full record

ArticleESMO open2022

Predictive preoperative clinical score for patients with liver-only oligometastatic colorectal cancer.

G Filippini Velázquez, S Schiele, M Gerken, S Neumaier, C Hackl, P Mayr, M Klinkhammer-Schalke, G Illerhaus, H J Schlitt, M Anthuber and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in ESMO open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

18 authors at 4 institutions in 1 country.

G Filippini VelázquezComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany.
S SchieleFaculty of Applied Mathematics and Statistics, University of Augsburg, Augsburg, Germany.
M GerkenTumor Center Regensburg, Institute for Quality Assurance and Health Service Research, University of Regensburg, Regensburg, Germany.
S NeumaierDepartment of Haematology and Oncology, Katharinen Hospital Stuttgart, Stuttgart, Germany.
C HacklDepartment of Surgery, University Medical Center Regensburg, Regensburg, Germany.
P MayrComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany.
M Klinkhammer-SchalkeTumor Center Regensburg, Institute for Quality Assurance and Health Service Research, University of Regensburg, Regensburg, Germany.
G IllerhausDepartment of Haematology and Oncology, Katharinen Hospital Stuttgart, Stuttgart, Germany.
H J SchlittDepartment of Surgery, University Medical Center Regensburg, Regensburg, Germany.
M AnthuberComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany.
T KrönckeComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany.
H MessmannComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany.
B MärklComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany.
C SchmidComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany.
M TrepelComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany.
G MüllerFaculty of Applied Mathematics and Statistics, University of Augsburg, Augsburg, Germany.
R ClausComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany; General Pathology and Molecular Diagnostics, Faculty of Medicine, University of Augsburg, Augsburg, Germany; Faculty of Medicine, University of Freiburg, Freiburg, Germany.
B HackansonComprehensive Cancer Center Augsburg (CCCA), University Medical Center Augsburg, Augsburg, Germany; Faculty of Medicine, University of Freiburg, Freiburg, Germany. Electronic address: bjoern.hackanson@uk-augsburg.de.
Katharinenhospital · DEUniversity of Augsburg · DEUniversity of Freiburg · DEUniversity of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResection of liver metastases from colorectal cancer (CRC) in the oligometastatic stage improves survival and is a potentially curative treatment. Thus, predictive scores that reliably identify those patients who especially benefit from surgery are essential. PATIENTS AND

methodsIn this multicenter analysis, 512 patients had undergone surgery for liver metastases from CRC. We investigated distinct cancer-specific risk factors that are routinely available in clinical practice and developed a predictive preoperative score using a training cohort (TC), which was thereafter tested in a validation cohort (VC).

resultsInflammatory response to the tumor, a right-sided primary tumor, multiple liver metastases, and node-positive primary tumor were significant adverse variables for overall survival (OS). Patients were stratified in five groups according to the cumulative score given by the presence of these risk factors. Median OS for patients without risk factors was 133.8 months [95% confidence interval (CI) 81.2-not reached (nr)] in the TC and was not reached in the VC. OS decreased significantly for each subsequent group with increasing number of risk factors. Median OS was significantly shorter (P < 0.0001) for patients presenting all four risk factors: 14.3 months (95% CI 10.5 months-nr) in the TC and 16.6 months (95% CI 14.6 months-nr) in the VC.

conclusionsIncluding easily obtainable variables, this preoperative score identifies oligometastatic CRC patients with prolonged survival rates that may be cured, and harbors potential to be implemented in daily clinical practice.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsHumansPrognosisRisk Factorsclinical scorecolorectal cancerliver metastasesoligometastasesoverall survivalpredictive scoresurgical resection

Identifiers

PMID35461024
PMCPMC9271475
OpenAlexW4224253315

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.