Evidence map›Paper›PMID 28701896›Full record

ArticleYonago acta medica2017

Use of Body Mass Index to Predict the Prognosis of Patients with Remnant Gastric Cancer.

Tomoyuki Matsunaga, Hiroaki Saito, Tomohiro Osaki, Yusuke Kono, Yuki Murakami, Hirohiko Kuroda, Yoji Fukumoto, Yoshiyuki Fujiwara

Abstract read
PubMed Full text at PMC
In one paragraph

Article in Yonago acta medica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Tomoyuki MatsunagaDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Hiroaki SaitoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Tomohiro OsakiDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Yusuke KonoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Yuki MurakamiDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Hirohiko KurodaDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Yoji FukumotoDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.
Yoshiyuki FujiwaraDivision of Surgical Oncology, Department of Surgery, School of Medicine, Tottori University Faculty of Medicine, Yonago 683-8504, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemnant gastric cancer (RGC) is an uncommon form of gastric cancer. The aim of this study was to investigate factors influencing the prognosis of patients with RGC.

methodsA total of 49 patients diagnosed with RGC and 214 patients with primary upper third gastric cancer (PUGC) at our institution between January 1990 and December 2014 were included. The clinicopathological characteristics, prognosis, and factors influencing prognosis were compared.

resultsThe body mass index (BMI) of RGC was significantly lower than that for PUGC (

conclusionOur retrospective study indicated a poor prognosis of RGC compared with PUGC, and that BMI could predict the prognosis of RGC. The prognosis of patients with BMI

Indexed as

body mass indexgastric cancerprognosisremnant gastric cancer

Identifiers

PMID28701896
PMCPMC5502225

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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.