Evidence map›Paper›PMID 27672270›Full record

ReviewWorld journal of gastroenterology2016

Regional but fatal: Intraperitoneal metastasis in gastric cancer.

Jia Wei, Nan-Die Wu, Bao-Rui Liu

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. Molecular and Clinicopathologic Impact of GNAS Variants Across Solid Tumors.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
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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

3 authors.

Jia WeiJia Wei, Nan-Die Wu, Bao-Rui Liu, Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University, Clinical Cancer Institute of Nanjing University, Nanjing 210008, Jiangsu Province, China.
Nan-Die WuJia Wei, Nan-Die Wu, Bao-Rui Liu, Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University, Clinical Cancer Institute of Nanjing University, Nanjing 210008, Jiangsu Province, China.
Bao-Rui LiuJia Wei, Nan-Die Wu, Bao-Rui Liu, Comprehensive Cancer Centre of Drum Tower Hospital, Medical School of Nanjing University, Clinical Cancer Institute of Nanjing University, Nanjing 210008, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peritoneal carcinomatosis appears to be the most common pattern of metastasis or recurrence and is associated with poor prognosis in gastric cancer patients. Many efforts have been made to improve the survival in patients with peritoneal metastasis. Hyperthermic intraperitoneal chemotherapy remains a widely accepted strategy in the treatment of peritoneal dissemination. Several phase II-III studies confirmed that the combined cytoreducitve surgery and hyperthermic intraperitoneal chemotherapy resulted in longer survival in patients with peritoneal carcinomatosis. In addition, proper selection and effective regional treatment in patients with high risk of peritoneal recurrence after resection will further improve prognosis in local advanced gastric cancer patients.

Indexed as

Antineoplastic AgentsChemotherapy, Cancer, Regional PerfusionClinical Trials as TopicHumansHyperthermia, InducedNeoplasm Recurrence, LocalPeritoneal NeoplasmsPrognosisStomach NeoplasmsTreatment OutcomeAntineoplastic AgentsCytoreductive surgeryGastric cancerHyperthermic intraperitoneal chemotherapyIntraperitoneal metastasisRegional metastasis

Identifiers

PMID27672270
PMCPMC5011663

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.