Evidence map›Paper›PMID 40337762›Full record

ArticleTranslational gastroenterology and hepatology2025

Topics and trends in gastroesophageal reflux disease research over the past 60 years: a text mining and network analysis.

Jing Chen, Songfeng Chen, Qianjun Zhuang, Fangfei Chen, Niandi Tan, Yinglian Xiao

Abstract read
In one paragraph

Article in Translational gastroenterology and hepatology, 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

6 authors.

Jing Chen *Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Songfeng Chen *Department of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Qianjun ZhuangDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Fangfei ChenDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Niandi TanDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yinglian XiaoDepartment of Gastroenterology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-4278-8583

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastroesophageal reflux disease (GERD) presents a complex pathophysiological challenge with intricate interactions among its biological components, yet the mechanisms remain incompletely understood. This study aimed to conduct a quantitative analysis to investigate the concentration and evolution of domain knowledge in GERD research. Methods: A bibliographic search in PubMed retrieved 18,459 abstracts of experimental studies on GERD, published between 1963 and 2022. Abstracts were scanned automatically for 477 biological components proposed in recent publications, which are represented by a set of (I) genes and molecules (n=180), (II) definition of cytology, histology, and anatomy (n=54), (III) clinical definition (n=243). For each component, semantic synonyms were recovered from catalogues and domain knowledge. The results are visualized as networks indicating the frequency at which different components are referenced together within each abstract. Results: Over time the GERD network has seen a progression in the increasing of new components and connectivity. The clinical definition appears to be the most abundant, while studies exploring micro-level mechanisms remain notably scarce. Meanwhile, certain pivotal components consistently attract significant attention, forming crucial elements in this multifactorial disease. However, the micro-level analysis reveals a recent plateau in progress, indicating a bottleneck phase currently. Conclusions: GERD domain knowledge has remained confined within established frameworks over history, highlighting the importance of developing novel integrated research paradigms among endless data to bridge the gap between bench and bedside.

Indexed as

gastroesophageal reflux disease (GERD)knowledge constructionNetwork analysis

Identifiers

PMID40337762
PMCPMC12056122

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.