Evidence map›Paper›PMID 33834322›Full record

ArticleAnnals of surgical oncology2021

Infiltrative Tumor Borders in Colorectal Liver Metastasis: Should We Enlarge Margin Size?

Vitoria Ramos Jayme, Gilton Marques Fonseca, Isaac Massaud Amim Amaral, Fabricio Ferreira Coelho, Jaime Arthur Pirola Kruger, Vagner Birk Jeismann, Rafael Soares Nunes Pinheiro, Evandro Sobroza de Mello, Paulo Herman

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In one paragraph

Article in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. 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

9 authors at 1 institution in 1 country.

Vitoria Ramos JaymeDigestive Surgery Division, Liver Surgery Unit, Department of Gastroenterology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil. vitoriarjayme@hotmail.com.
Gilton Marques FonsecaDigestive Surgery Division, Liver Surgery Unit, Department of Gastroenterology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil.
Isaac Massaud Amim AmaralDigestive Surgery Division, Liver Surgery Unit, Department of Gastroenterology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil.
Fabricio Ferreira CoelhoDigestive Surgery Division, Liver Surgery Unit, Department of Gastroenterology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil.
Jaime Arthur Pirola KrugerDigestive Surgery Division, Liver Surgery Unit, Department of Gastroenterology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil.
Vagner Birk JeismannDigestive Surgery Division, Liver Surgery Unit, Department of Gastroenterology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil.
Rafael Soares Nunes PinheiroDigestive Surgery Division, Liver Surgery Unit, Department of Gastroenterology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil.
Evandro Sobroza de MelloDepartment of Pathology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, Brazil.
Paulo HermanDigestive Surgery Division, Liver Surgery Unit, Department of Gastroenterology, Hospital das Clinicas, University of Sao Paulo School of Medicine, São Paulo, SP, Brazil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgery is the only potentially curative treatment for colorectal cancer liver metastases (CRLMs). Despite an improvement in results following resection, recurrence rates remain high. Many histopathological features have been reported as prognostic factors. Infiltrative borders are known to be associated with worse prognosis; however, margin size has never been evaluated together with the type of tumor border. In the present study, we analyzed the prognosis of patients with resected CRLM according to tumor growth pattern (TGP) and whether a larger margin size would bring any prognostic benefit. PATIENTS AND

methodsMedical records from a prospective database of 645 patients who underwent hepatic resection for CRLM between January 2004 and December 2019 at a single center were reviewed, and 266 patients were included in the analytic cohort. TGP (pushing or infiltrative) was evaluated regarding the impact in overall and disease-free survival. The impact of margin size (≤ or > 1 cm) on survival and hepatic recurrence according to TGP was also evaluated.

resultsTGP was defined as infiltrative in 182 cases (68.4%) and pushing in 84 patients (31.6%). Patients with infiltrative-type border presented worse overall survival and disease-free survival, as well as higher intrahepatic recurrence (p < 0.05). Larger margin size did not impact the prognosis of patients with infiltrative borders.

conclusionsPatients with infiltrative-type border present worse prognosis and higher intrahepatic recurrence. Larger margin size (> 1 cm) does not change the prognosis in patients with infiltrative border, showing that tumor biology is the most important factor for survival.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsHepatectomyHumansMargins of ExcisionNeoplasm Recurrence, LocalPrognosisRetrospective StudiesColorectal liver metastasisLiver resectionMargin sizePrognosisTumor growth pattern

Identifiers

PMID33834322
OpenAlexW3142388246

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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.