Evidence map›Paper›PMID 29755907›Full record

ArticleCureus2018

The 100 Most Influential Papers and Recent Trends in the Field of Gastrointestinal Stromal Tumours: A Bibliometric Analysis.

Khadijah Siddiq, Hira F Akbar, Meeshal Khan, Amna A Siddiqui, Salman Nusrat, Jean Y Blay

Abstract read
In one paragraph

Article in Cureus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Khadijah SiddiqCivil Hospital Karachi, Dow University of Health Sciences (DUHS), Karachi, Pakistan.
Hira F AkbarCivil Hospital Karachi, Dow University of Health Sciences (DUHS), Karachi, Pakistan.
Meeshal KhanCivil Hospital Karachi, Dow University of Health Sciences (DUHS), Karachi, Pakistan.
Amna A SiddiquiCivil Hospital Karachi, Dow University of Health Sciences (DUHS), Karachi, Pakistan.
Salman NusratGasteroenterology, University of Oklahoma Health Sciences Center, Oklahoma City, United States.
Jean Y BlayCentre Léon Bérard, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Bibliometric analysis is a statistical tool used to examine the exponential growth in medical research. Many analogous analyses have been conducted, but none existed for gastrointestinal stromal tumors (GISTs). Hence, we conducted a citation analysis of the hundred most cited and recently published articles on this topic. Methods Scopus was chosen as the primary database, through which the top 100 and recent publications were ranked according to the citation count and were then analysed. Results The 100 most cited articles were published between 1992 and 2013, among which the greatest number of articles were published in the years 2002 (n = 15) and 2006 (n = 11). Amidst the 24 countries from which the articles originated, the United States of America (n = 76) topped the list. The Journal of Clinical Oncology (n = 15) and the American Journal of Clinical Pathology (n = 10) contributed majority of the top articles. Harvard Medical School alone produced 44 of the top 100. Articles from 2013 to date showed the same trend as that of top 100 articles regarding origin and institutions. Conclusion Basic science and genetics of GISTs are established, and new drugs are being studied for medicinal therapy. Surgical management and diagnostics of these tumors, however, are yet to be studied as extensively.

Indexed as

bibliometric analysiscitescoregastrointestinal stromal tumorsgistsscopus

Identifiers

PMID29755907
PMCPMC5947978

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.