Evidence map›Paper›PMID 33319156›Full record

ArticleAnnals of gastroenterological surgery2020

An ascites grading system for predicting the prognosis of gastric cancer with peritoneum dissemination.

Michitaka Honda, Hidetaka Kawamura, Hiroshi Kobayashi, Koichi Takiguchi, Atsushi Muto, Shigeru Yamazaki, Yasushi Teranishi, Satoru Shiraso, Koji Kono, Soshi Hori and 3 more

Open access · goldAbstract read
In one paragraph

Article in Annals of gastroenterological surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Higher TIGIT expression in the intraperitoneal immune microenvironment is associated with shorter progression-free survival in patients with gastric cancer with peritoneal metastasis treated with intraperitoneal paclitaxel.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  13. Reconstruction Algorithm-Based CT Imaging for the Diagnosis of Hepatic Ascites.Computational and mathematical methods in medicine · 2022
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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

13 authors at 9 institutions in 1 country.

Michitaka HondaDepartment of Minimally Invasive Surgical and Medical Oncology Fukushima Medical University Fukushima Japan.ORCID https://orcid.org/0000-0003-3492-9881
Hidetaka KawamuraDepartment of Minimally Invasive Surgical and Medical Oncology Fukushima Medical University Fukushima Japan.
Hiroshi KobayashiDepartment of Minimally Invasive Surgical and Medical Oncology Fukushima Medical University Fukushima Japan.
Koichi TakiguchiDepartment of Surgery The Takeda Healthcare Foundation Takeda General Hospital Aizuwakamatsu Japan.
Atsushi MutoDepartment of Surgery Fukushima Rosai Hospital Iwaki Japan.
Shigeru YamazakiDepartment of Surgery Ohta Nishinouchi Hospital Koriyama Japan.
Yasushi TeranishiDepartment of Surgery Southern TOHOKU General Hospital Koriyama Japan.
Satoru ShirasoDepartment of Surgery Iwaki City Medical Center Iwaki Japan.
Koji KonoDepartment of Gastrointestinal Tract Surgery Fukushima Medical University Fukushima Japan.
Soshi HoriDepartment of Minimally Invasive Surgical and Medical Oncology Fukushima Medical University Fukushima Japan.
Takahiro KamigaDepartment of Surgery Shirakawa Kosei General Hospital Shirakawa Japan.
Toshiyasu IwaoDepartment of Internal Medicine Aidu Chuo Hospital Aizuwakamatsu Japan.
Naoyuki YamashitaDepartment of Surgery Tsuboi Hospital Koriyama Japan.
Fukushima Medical University · JPGunma Chuo Hospital · JPIjinkai Takeda General Hospital · JPJapan Organization of Occupational Health and Safety · JPKoriyama Institute of Health Sciences · JPMiwa Hospital · JPOhta Nishinouchi Hospital · JPSapporo Kosei General Hospital · JPSouthern Tohoku General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimGastric cancer with peritoneum dissemination is intractable with surgical resection. The evaluation of the degree of dissemination using computed tomography (CT) is difficult. We focused on the amount of ascites based on CT findings and established a scaling system to predict these patients' prognoses.

methodsWe extracted individual data from a population-based cohort. Patients diagnosed with histologically proven gastric adenocarcinoma with peritoneum dissemination were enrolled. Two raters evaluated the CT images and determined the grade of ascites in each patient: grade 0 indicated no ascites in all slices; grade 1 indicated ascites detected only in the upper or lower abdominal cavity; grade 2 indicated ascites detected in both the upper and lower abdominal cavities; and grade 3 indicated ascites extending continuously from the pelvic cavity to the upper abdominal cavity. We evaluated the relationship between the ascites grade and survival time. After adjusting for other clinical factors, we calculated hazard ratios of each ascites grade.

resultsA total of 718 patients were enrolled. The number of patients with grades 0, 1, 2, and 3 were 303, 223, 94, and 98, respectively. The median overall survival times were 16.0, 8.7, 5.4, and 3.0 months for ascites on CT grades 0, 1, 2, and 3, respectively (

conclusionWe established a new grading system of pretreatment ascites to better predict the prognosis of gastric cancer.

Indexed as

ascitesgastric cancerperitoneal disseminationprognosis

Identifiers

PMID33319156
PMCPMC7726691
OpenAlexW3049772691

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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.