Evidence map›Paper›PMID 30603136›Full record

ArticleJournal of gastrointestinal oncology2018

Exploring the differences between early-onset gastric cancer and traditional-onset gastric cancer.

Anwar Giryes, Hani Oweira, Meinrad Mannhart, Michael Decker, Omar Abdel-Rahman

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
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  5. Article
  6. Review
  7. Review
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  9. Review
  10. Practical Considerations in Diagnosing and Managing Early-Onset GI Cancers.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Article
  11. Article
  12. Article
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  15. Review
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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

5 authors.

Anwar GiryesSwiss Medical Clinic, Zürich, Switzerland.
Hani OweiraGastrointestinal Tumor Zentrum, Zürich, Switzerland.
Meinrad MannhartDepartment of Oncology, Center of Zug, Zug, Switzerland.
Michael DeckerOncology Department, Zentrum für Integrative Onkologie, Zürich, Switzerland.
Omar Abdel-RahmanClinical Oncology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current study sought to explore the potential clinical, epidemiological and genetic differences between early-onset gastric cancer (E-gastric cancer: defined as 20-39 years) and traditional-onset gastric cancer (T-gastric cancer: defined as ≥40 years).

methodsDatasets from the following sources were searched: Surveillance, Epidemiology and End Results database [2000-2014], Behavioral Risk Factor Surveillance Survey and the cancer genome atlas (TCGA). Clinicopathological characteristics, trends, and genetic findings were compared between E-gastric cancer and T-gastric cancer. Moreover, correlations with relevant risk factors were sought after.

resultsA total of 95,323 gastric cancer patients were identified in the period from 2000 to 2014. While T-gastric cancer was decreasing during the study period (-1.4; P<0.05), E-gastric cancer was stable during the study period. E-gastric cancer is less prevalent in males (51.1%

conclusionsE-gastric cancer is a potentially distinct disease entity with specific clinicopathological and trend patterns compared to conventional T-gastric cancer. Further studies are needed to explore the potential etiologic basis as well as to investigate the clinical consequences of this distinction. The impact of this distinction on minority populations requires further assessment as well.

Indexed as

biological criteriaclinical criteriaearly-onsetGastric cancer

Identifiers

PMID30603136
PMCPMC6286935

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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.