Evidence map›Paper›PMID 31346896›Full record

ArticleAnnals of surgical oncology2020

Gastric Cancer Peritoneal Carcinomatosis Risk Score.

Liang Ji, Matthew J Selleck, John W Morgan, Jane Xu, Blake D Babcock, David Shavlik, Nathan R Wall, William H Langridge, Sharon S Lum, Carlos A Garberoglio and 4 more

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  11. STAGING LAPAROSCOPY IS STILL A VALUABLE TOOL FOR OPTIMAL GASTRIC CANCER MANAGEMENT.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2023
    Article
  12. Predictors of peritoneal metastasis of gastric origin.Journal of the Egyptian National Cancer Institute · 2022
    Article
  13. Article
  14. Article
  15. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Liang JiSchool of Public Health, Loma Linda University, Loma Linda, CA, USA.
Matthew J SelleckDivision of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA.
John W MorganSchool of Public Health, Loma Linda University, Loma Linda, CA, USA.
Jane XuDivision of Biochemistry, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Blake D BabcockDivision of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA.
David ShavlikSchool of Public Health, Loma Linda University, Loma Linda, CA, USA.
Nathan R WallDivision of Biochemistry, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
William H LangridgeDivision of Biochemistry, School of Medicine, Loma Linda University, Loma Linda, CA, USA.
Sharon S LumDivision of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA.
Carlos A GarberoglioDivision of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA.
Mark E ReevesDivision of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA.
Naveenraj SolomonDivision of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA.
Jukes P NammDivision of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA.
Maheswari SenthilDivision of Surgical Oncology, Loma Linda University Health, Loma Linda, CA, USA. msenthil@llu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) peritoneal carcinomatosis (PC) is associated with a poor prognosis. Although grade, histology, and stage are associated with PC, the cumulative risk of PC when multiple risk factors are present is unknown. This study aimed to develop a cumulative GCPC risk score based on individual demographic/tumor characteristics.

methodsPatient-level data (2004-2014) from the California Cancer Registry were reviewed by creating a keyword search algorithm to identify patients with gastric PC. Multivariable logistic regression was used to assess demographic/tumor characteristics associated with PC in a randomly selected testing cohort. Scores were assigned to risk factors based on beta coefficients from the logistic regression result, and these scores were applied to the remainder of the subjects (validation cohort). The summed scores of each risk factor formed the total risk score. These were grouped, showing the percentages of patients with PC.

resultsThe study identified 4285 patients with gastric adenocarcinoma (2757 males, 64.3%). The median age of the patients was 67 years (interquartile range [IQR], 20 years). Most of the patients were non-Hispanic white (n = 1748, 40.8%), with proximal (n = 1675, 39.1%) and poorly differentiated (n = 2908, 67.9%) tumors. The characteristics most highly associated with PC were T4 (odds ratio [OR], 3.12; 95% confidence interval [CI], 2.19-4.44), overlapping location (OR 2.27; 95% CI 1.52-3.39), age of 20-40 years (OR 3.42; 95% CI 2.24-5.21), and Hispanic ethnicity (OR 1.86; 95% CI 1.36-2.54). The demographic/tumor characteristics used in the risk score included age, race/ethnicity, T stage, histology, tumor grade, and location. Increasing GCPC score was associated with increasing percentage of patients with PC.

conclusionBased on demographic/tumor characteristics in GC, it is possible to distinguish groups with varying odds for PC. Understanding the risk for PC based on the cumulative effect of high-risk features can help clinicians to customize surveillance strategies and can aid in early identification of PC.

Indexed as

AdolescentAdultAgedAge FactorsCaliforniaCohort StudiesEthnicityFemaleHumansMaleMiddle AgedNeoplasm GradingNeoplasm StagingPeritoneal NeoplasmsRetrospective StudiesRisk Assessment

Identifiers

PMID31346896
PMCPMC6925067

What OpenQuestion holds

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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.