Evidence map›Paper›PMID 39487459›Full record

ArticleInternational journal of emergency medicine2024

Bibliometric analysis of the usage of tenecteplase for stroke.

Garv Bhasin, Latha Ganti

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Acute right-sided thalamic stroke successfully treated with thrombolytics.Clinical and experimental emergency medicine · 2025
    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

2 authors.

Garv BhasinBrown University, Providence, RI, USA.
Latha GantiOrlando College of Osteopathic Medicine, Winter, FL, 34787, USA. latha_ganti@brown.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn recent years, tenecteplase has been competing with alteplase as a treatment for acute ischemic stroke given its ease of administration, lower dosage, cost-effectiveness, and better safety data. This paper seeks to analyze academic literature regarding the burgeoning usage of tenecteplase as a treatment for acute ischemic stroke across the world.

methodThe Web of Science database was used to collect the data from articles containing the keywords "Tenecteplase" and "Stroke" published from 1999 to 2023. The search resulted in 576 journal articles. This study analyzed metadata related to the country, institution, keywords, and date published for each article in the database pertaining to tenecteplase use for stroke.

resultsThe United States led in publications (260, 39.93%), followed by Australia (101, 15.51%), and a tie for third place between Canada and China (77, 11.83% each). The three most prevalent keywords were tenecteplase (N = 324), alteplase (N = 284), and thrombolysis (N = 244). The University of Melbourne and the University of Calgary were the leading institutions publishing on the use of tenecteplase as a treatment for stroke. In 2023, the number of publications on the usage of tenecteplase for stroke was the greatest, making up 24.3% of all papers on the topic.

conclusionThe surge in academic papers regarding tenecteplase in stroke in 2023 could be a good indicator of the drug's increasing prevalence as a treatment for stroke. Despite this finding, tenecteplase is currently not an FDA-approved therapy in the US as Genentech, the drug's manufacturer, has yet to file for federal approval for acute ischemic stroke treatment.

Indexed as

Acute ischemic strokeBibliometric analysisTenecteplase

Identifiers

PMID39487459
PMCPMC11529031

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.