Evidence map›Paper›PMID 39594697›Full record

ArticleCancers2024

Long-Term Outcome After Resection of Hepatic and Pulmonary Metastases in Multivisceral Colorectal Cancer.

Christopher Berlin, Geoffroy Andrieux, Magdalena Menzel, Gabriel J Stöger, Andreas Gengenbach, Luisa Schäfer, Hans C Hillebrecht, Rebecca Kesselring, Uyen-Thao Le, Stefan Fichtner-Feigl and 1 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Immune phenotype and RAS/BRAF status predict outcomes after lung metastasectomy for colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  2. Article
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

11 authors.

Christopher BerlinDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.ORCID 0000-0001-9727-1533
Geoffroy AndrieuxInstitute of Medical Bioinformatics and Systems Medicine, Medical Center-University of Freiburg, 79106 Freiburg im Breisgau, Germany.ORCID 0000-0002-5389-9481
Magdalena MenzelDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.ORCID 0000-0002-2938-1228
Gabriel J StögerDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.
Andreas GengenbachDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.
Luisa SchäferDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.ORCID 0000-0002-7044-6222
Hans C HillebrechtDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.ORCID 0000-0003-1696-3250
Rebecca KesselringDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.ORCID 0000-0001-8131-7605
Uyen-Thao LeDepartment of Thoracic Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.ORCID 0000-0002-5671-3048
Stefan Fichtner-FeiglDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.
Philipp A HolznerDepartment of General and Visceral Surgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg im Breisgau, Germany.ORCID 0000-0001-9221-9728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesColorectal cancer (CRC) with hepatic (CRLM) and pulmonary metastases (CRLU) presents a significant clinical challenge, leading to poor prognosis. Surgical resection of these metastases remains controversial because of limited evidence supporting its long-term benefits. To evaluate the impact of surgical resection of both hepatic and pulmonary metastases on long-term survival in patients with multivisceral metastatic colorectal cancer, this retrospective cohort study included 192 patients with UICC stage IV CRC treated at a high-volume academic center.

methodsPatients were divided into two groups: those who underwent surgical resection of both hepatic and pulmonary metastases (n = 100) and those who received non-surgical treatment (n = 92). Propensity score matching was used to adjust for baseline differences. The primary outcome was overall survival (OS).

resultsUnadjusted analysis showed a significant OS benefit in the surgical group (median OS: 6.97 years) compared with the conservative group (median OS: 2.17 years). After propensity score matching, this survival advantage persisted (median OS: 5.58 years vs. 2.35 years; HR: 0.3, 95% CI: 0.18-0.47,

conclusionsSurgical resection of hepatic and pulmonary metastases in multivisceral metastatic CRC significantly improves long-term survival, supporting an aggressive surgical approach in selected patients.

Indexed as

colorectal cancer metastasisliver and lung metastasismetastasis surgerymultivisceral colorectal cancer

Identifiers

PMID39594697
PMCPMC11592306

What OpenQuestion holds

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Registered trials

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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.