Evidence map›Paper›PMID 42719194›Full record

ArticleAnnals of gastroenterological surgery2026

Biological Resectability in Colorectal Liver Metastases: A Nomogram-Based Continuous Risk Model to Define Borderline Disease.

Yuzo Umeda, Toshiharu Mitsuhashi, Tomokazu Fuji, Toru Kojima, Takeshi Koujima, Tatsuo Matsuda, Daisuke Satoh, Masaru Inagaki, Kosei Takagi, Toshiyoshi Fujiwara

Abstract read
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In one paragraph

Article in Annals of gastroenterological surgery, 2026. 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

10 authors.

Yuzo UmedaDepartment of Hepatobiliary Pancreatic and Transplantation Surgery Ehime University Graduate School of Medicine Matsuyama Ehime Japan.ORCID https://orcid.org/0000-0002-5778-6863
Toshiharu MitsuhashiCenter for Innovative Clinical Medicine, Medical Development Field Okayama University Okayama Japan.ORCID https://orcid.org/0000-0001-9940-0570
Tomokazu FujiDepartment of Gastroenterological Surgery Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Okayama Japan.ORCID https://orcid.org/0000-0002-7107-6518
Toru KojimaDepartment of Surgery Okayama Saiseikai General Hospital Okayama Japan.
Takeshi KoujimaDepartment of Surgery Himeji Red Cross Hospital Himeji Japan.
Tatsuo MatsudaDepartment of Surgery Tenwakai Matsuda Hospital Kurashiki Japan.
Daisuke SatohDepartment of Surgery Hiroshima Citizens Hospital Hiroshima Japan.ORCID https://orcid.org/0000-0003-2043-9099
Masaru InagakiDepartment of Surgery National Hospital Organization Fukuyama Medical Center Fukuyama Japan.ORCID https://orcid.org/0000-0001-8049-2858
Kosei TakagiDepartment of Gastroenterological Surgery Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Okayama Japan.
Toshiyoshi FujiwaraDepartment of Gastroenterological Surgery Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences Okayama Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Resectability in colorectal liver metastases (CRLM) is traditionally defined by technical feasibility; however, a biologically based definition of borderline resectable disease has not been established. We evaluated the prognostic impact of Methods: This multi-institutional retrospective study included 584 patients undergoing initial hepatectomy for CRLM. The impact of Results: Conclusions: The prognostic impact of

Indexed as

biologyborderline resectablecolorectal liver metastasesgenetic profileKRASmorphology

Identifiers

PMID42719194
PMCPMC13553971

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.