Evidence map›Paper›PMID 39564115›Full record

SynthesisFrontiers in pharmacology2024

Knowledge domain and trends in treatment-resistant schizophrenia (TRS) research based on CiteSpace bibliometrics analysis.

Haipeng Cai, Ruonan Du, Jianyi Zhang, Xin Wang, Wei Li, Kebing Yang, Zhiren Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in pharmacology, 2024. 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. Article
  3. Review
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.

Haipeng Cai *Beijing Huilongguan Hospital, Huilongguan Clinical Medical School of Peking University, Beijing, China.
Ruonan Du *Beijing Huilongguan Hospital, Huilongguan Clinical Medical School of Peking University, Beijing, China.
Jianyi ZhangBeijing Huilongguan Hospital, Huilongguan Clinical Medical School of Peking University, Beijing, China.
Xin WangBeijing Huilongguan Hospital, Huilongguan Clinical Medical School of Peking University, Beijing, China.
Wei LiBeijing Huilongguan Hospital, Huilongguan Clinical Medical School of Peking University, Beijing, China.
Kebing YangBeijing Huilongguan Hospital, Huilongguan Clinical Medical School of Peking University, Beijing, China.
Zhiren WangBeijing Huilongguan Hospital, Huilongguan Clinical Medical School of Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although the number of studies on treatment-resistant schizophrenia (TRS) has been increasing, the global research hotspots and future research trends have not yet been established. Objective: This study identify the hotspots of TRS research and predict future research trends using a bibliometric analysis. Methods: The Web of Science Core Collection was searched using the keyword "TRS", econometric and co-occurrence analyses were conducted using CiteSpace and VOSviewer software, and the results were visualised. PRISMA reporting guidelines were used for this study. Results: In total, 912 publications were included in the analysis. The number of publications on TRS has shown an increasing trend over the past 20 years. The United States and University of London were the countries and institutions with the highest total number of publications, respectively. Conclusion: There has been an upward trend in the number of publications on TRS each year. However, issues such as how to use antipsychotics more efficiently to treat TRS and how to predict the emergence of TRS as early as possible are still in urgent need of research and are current challenges for clinicians. The results of this study not only predict and analyse future research hotspots but also help researchers identify appropriate research directions and partners.

Indexed as

bibliometrics analysisCiteSpaceclozapineefficiencyglobal trendstreatment-resistant schizophrenia

Identifiers

PMID39564115
PMCPMC11573587

What Socratic holds

Textmetadata
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 Socratic graph.