Evidence map›Paper›PMID 40575644›Full record

ArticleWorld journal of virology2025

Bibliometric analysis of research on spinal tuberculosis in last 5 years.

Monalisa Mohanty, Mantu Jain, Sujit Kumar Tripathy, Manisha Tripathy, Preetam Kumar Kar, Baijayantimala Mishra, Prasanta Raghab Mohapatra

Abstract read
In one paragraph

Article in World journal of virology, 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.

Monalisa MohantyDepartment of Microbiology, Dr B C Roy Multispeciality Medical Research Centre, IIT, Kharagpur, Kharagpur 721302, West Bengal, India.
Mantu JainDepartment of Orthopaedics, All India Institute of Medical Sciences, Bhubaneswar 751019, Odisha, India.
Sujit Kumar TripathyDepartment of Orthopaedics, All India Institute of Medical Sciences, Bhubaneswar 751019, Odisha, India. ortho_sujit@aiimsbhubaneswar.edu.in.
Manisha TripathyDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar 751019, India.
Preetam Kumar KarDepartment of Community Medicine, SCB Medical College, Cuttack 753001, Odisha, India.
Baijayantimala MishraDepartment of Microbiology, All India Institute of Medical Sciences, Bhubaneswar 751019, India.
Prasanta Raghab MohapatraPulmonary Critical Care and Sleep Medicine, All India Institute of Medical Sciences, Bhubaneswar 751019, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal tuberculosis (TB), also known as Pott's spine, remains a significant global health issue, particularly in regions with a high TB burden. The disease presents complex challenges in diagnosis, management, and treatment, prompting a growing interest in research over recent years. The advancements in imaging, diagnostics, and treatment strategies have driven an increased focus on publishing clinical outcomes, review articles, and case series related to spinal TB (STB).

aimTo perform a bibliometric analysis of STB research published over the last 5 years (2019-2023) to identify trends in publication volume, contributions by country, and the nature of the research being conducted.

methodsA comprehensive bibliometric analysis was conducted using the PubMed database, focusing on research articles published between 2019 and 2023. Keywords such as "spine tuberculosis," "spinal TB," "TB spine," and "Pott's spine" were utilized to capture relevant publications. Articles were analyzed based on the type of research (

resultsA total of 528 articles met the inclusion criteria for this bibliometric analysis. The majority of articles were published between 2020 and 2023 (440/528; 83.3%), while the lowest number was published in 2019 (88/528; 16.7%). India led the global contributions with 25.8% of the total publications, followed by China (19.9%) and the United States (10.4%). Combined, African countries contributed 6.8% of the research on STB. Regarding the type of articles, case reports and case series dominated the literature (353/528; 66.9%), followed by review articles (120/528; 22.7%) and cohort studies (45/528; 8.5%). Only 1.9% (10/528) of the studies were RCTs. Countries such as the United States, Germany, the United Kingdom, and Japan have pioneered the use of artificial intelligence (AI) in the diagnostic processes for STB, while India, China, South Africa, and other countries have been pivotal in conducting clinical trials and improving clinical management strategies.

conclusionThis bibliometric analysis revealed a significant increase in STB research over the last 5 years, with India and China being the leading contributors. However, most publications are case reports or case series, with a limited number of RCTs. The results highlighted the need for more high-quality research, especially in terms of RCTs and innovations in diagnostic technologies. Additionally, the application of AI to STB diagnostics shows promise in developed countries, while high-burden countries are focusing on clinical trials and management strategies.

Indexed as

Artificial intelligence diagnosticsBibliometric analysisPott’s spineResearch trendsSpinal Tuberculosis

Identifiers

PMID40575644
PMCPMC12188857

What OpenQuestion holds

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LicenceCC BY-NC
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.