Evidence map›Paper›PMID 23979110›Full record

ArticleSurgery today2014

Prognostic indicator for the resection of liver metastasis of colorectal cancer.

Ryosuke Amano, Nobuya Yamada, Bunzo Nakata, Kenjiro Kimura, Masakazu Yashiro, Masaichi Ohira, Kosei Hirakawa

Abstract read
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In one paragraph

Article in Surgery today, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

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  11. Is intraoperative ultrasound still useful for the detection of colorectal cancer liver metastases?HPB : the official journal of the International Hepato Pancreato Biliary Association · 2015
    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

7 authors at 1 institution in 1 country.

Ryosuke AmanoDepartment of Surgical Oncology, Osaka City University Graduate School of Medicine, 1-4-3 Asahimachi, Abeno-ku, Osaka, 545-8585, Japan, ramano@med.osaka-cu.ac.jp.
Nobuya Yamada
Bunzo Nakata
Kenjiro Kimura
Masakazu Yashiro
Masaichi Ohira
Kosei Hirakawa
Osaka City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe investigated the predictive indicator for a good prognosis of surgical resection for liver metastasis of colorectal cancer.

methodBetween 1990 and 2009 at our institute, 117 patients underwent 132 hepatic resections for liver metastasis of colorectal cancer. The clinical, pathological, and outcome parameters affecting their prognoses were analyzed. The extent of the liver metastases was subdivided according to the Japanese Classification of Colorectal Carcinoma (JCCRC), and the patients were classified into different grades based on the JCCRC classification and the status of the nodal involvement of the primary tumor.

resultThe median survival time (MST) of the 117 patients was 58 months, and the actuarial survival rates at 1, 3, and 5 years were 92.3, 60.0, and 46.1 %, respectively. A multivariate analysis revealed that the JCCRC Grade classification was an independent prognostic indicator (Grade A vs. B vs. C: MST, 72 vs. 41 vs. 23 months; 5-year survival, 59.0 vs. 38.6 vs. 0 %: p < 0.0001).

conclusionOur findings indicate that the JCCRC Grade classification for liver metastasis of colorectal cancer is a significant prognostic indicator and may be useful for making decisions regarding the treatment of liver metastasis.

Indexed as

HepatectomyAdultAgedAged, 80 and overColorectal NeoplasmsDecision Support TechniquesFemaleHumansLiver NeoplasmsMaleMiddle AgedMultivariate AnalysisNeoplasm StagingPrognosisSurvival RateTime Factors

Identifiers

PMID23979110
OpenAlexW2138407318

What OpenQuestion holds

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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.