Evidence map›Paper›PMID 23677598›Full record

ReviewSurgery today2014

Treatment strategies for gastric cancer patients with peritoneal metastasis.

Motohiro Imano, Kiyotaka Okuno

Abstract readReview
PubMed Publisher
In one paragraph

Review 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
2.4field-weighted citation impact, top 11% 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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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

2 authors at 2 institutions in 1 country.

Motohiro ImanoSurgery Department, Kinki University Faculty of Medicine, 377-2 Ohno-higashi, Osaka-Sayama, Osaka, 589-8511, Japan, imano@med.kindai.ac.jp.
Kiyotaka Okuno
Kindai University · JPKindai University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the treatment of gastric cancer improves the clinical outcomes, the survival of gastric cancer patients with peritoneal metastasis is still very poor. Effective drugs against peritoneal metastasis, coupled with new therapeutic modalities, are needed to improve the prognoses of these patients. Paclitaxel and TS-1 are candidate drugs for peritoneal metastasis, and intraperitoneal chemotherapy and targeted therapy are potential new therapeutic modalities. Two phase II studies using TS-1 and intraperitoneal and systemic paclitaxel for gastric cancer patients with peritoneal metastasis showed respectable survival results. In addition, peritoneal metastatic lesions showed high levels of epithelial cellular adhesion molecule (ECAM) and very low levels of human epidermal growth factor receptor 2 (HER2), thus indicating that an anti-ECAM monoclonal antibody, catumaxomab, would be effective against gastric cancer-derived peritoneal metastasis. Although catumaxomab and intraperitoneally administered paclitaxel are not generally used in Japan at present, these treatment strategies might therefore be effectively used in Japan in the near future.

Indexed as

Antibodies, BispecificAntibodies, MonoclonalAntigens, NeoplasmAntineoplastic Combined Chemotherapy ProtocolsCell Adhesion MoleculesClinical Trials, Phase II as TopicEpithelial Cell Adhesion MoleculeErb-b2 Receptor Tyrosine KinasesHumansInfusions, ParenteralMolecular Targeted TherapyPaclitaxelPeritoneal NeoplasmsPrognosisSilicatesStomach NeoplasmsAntibodies, BispecificAntibodies, MonoclonalAntigens, NeoplasmcatumaxomabCell Adhesion MoleculesEpithelial Cell Adhesion MoleculeERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPaclitaxelSilicatesTitaniumtitanium silicide

Identifiers

PMID23677598
OpenAlexW1990003681

What OpenQuestion holds

Textmetadata
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.