Evidence map›Paper›PMID 40766065›Full record

SynthesisFrontiers in medicine2025

Trends and hot spots in research on the prognostic value of gastric cancer biomarkers in the context of the Lauren classification: a bibliometric analysis.

Nurbek Kozhakhmetuly Azbergenov, Talshyn Amirkhanqyzy Nurulla, Anar Balkashevna Tulyayeva, Saule Zhumabaevna Akhmetova, Nurgul Meirimovna Kereeva, Saltanat Nurslyamovna Akanova, Dinara Almatovna Zholmukhamedova

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Nurbek Kozhakhmetuly AzbergenovDepartment of Pathological Anatomy and Forensic Medicine, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Talshyn Amirkhanqyzy NurullaDepartment of Pathological Anatomy and Forensic Medicine, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Anar Balkashevna TulyayevaDepartment of Oncology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Saule Zhumabaevna AkhmetovaDepartment of Pathological Anatomy and Forensic Medicine, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Nurgul Meirimovna KereevaDepartment of Oncology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Saltanat Nurslyamovna AkanovaFamily Medicine Clinic, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Dinara Almatovna ZholmukhamedovaDepartment of Oncology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Modern research is aimed at finding reliable prognostic biomarkers. The Lauren classification remains an important tool for predicting outcomes in gastric cancer, especially when combined with certain biomarkers and tumor molecular characteristics. This study aims at quantifying the accumulated knowledge about the prognostic value of stomach cancer biomarkers in the context of the morphological Lauren's classification, as well as providing recommendations for future studies. Methods: A literature search was conducted in the Scopus database in December 2024. The selection included 162 publications for the period 1995-2024. The analysis was performed using the statistical software RStudio, widely used in scientific research. The specialized Biblioshiny package was utilized for data analysis and visualization. Results: The average annual growth rate was 3.86%, and the average number of citations per article - 30.4, which underlines the high importance of the topic of the study. The largest number of publications originated from China (292 articles). Leading research institutions include Sungkyunkwan University School of Medicine (13 documents), Fudan University (12 documents), and Yonsei University College of Medicine (11 documents). The most prolific author is Zhang J., who conducted 13 studies in this field. The journal Pathology - Research and Practice holds the leading position with 8 publications. The most frequently occurring keyword is "gastric cancer" (94 mentions). Thematic trends include research on HER2 and microsatellite instability. Conclusion: The bibliometric analysis revealed the active development of research on the role of biomarkers in predicting gastric cancer prognosis based on Lauren's classification. China is the leading country in this field, Sungkyunkwan University School of Medicine is the most active research institution, Zhang J. is the most influential researcher, Pathology - Research and Practice is the most productive journal. Current research focuses on HER2 and microsatellite instability.

Indexed as

biomarkerbiomarkersgastric cancergastric carcinomaLauren classificationLauren’s classificationprognosis

Identifiers

PMID40766065
PMCPMC12321778

What Socratic 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 Socratic graph.