Evidence map›Paper›PMID 39130691›Full record

ReviewJournal of clinical orthopaedics and trauma2024

Scientometric analysis of global publications on prediabetes and osteoporosis: 1994-2023.

Raju Vaishya, Brij Mohan Gupta, Ghouse Modin Nabeesab Mamdapur, Anoop Misra, Abhishek Vaish

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of clinical orthopaedics and trauma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Raju VaishyaDepartment of Orthopaedics and Joint Replacement Surgery, Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, 110076, India.
Brij Mohan GuptaFormerly with CSIR-NISTADS, New Delhi, 110012, India.
Ghouse Modin Nabeesab MamdapurResearch Scholar, Department of Library and Information Science, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575018, Karnataka, India.
Anoop MisraSenior Consultant, Endocrinology, Foris C-Doc Hospital, Nehru Place, New Delhi, India.
Abhishek VaishDepartment of Orthopaedics and Joint Replacement Surgery, Indraprastha Apollo Hospitals, Sarita Vihar, New Delhi, 110076, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Prediabetes and osteoporosis are two commonly prevalent diseases that can have interconnected implications for overall well-being. There is a paucity of literature on "prediabetes and osteoporosis". We aimed to assess the current state of cross-sectional studies involving osteoporosis and prediabetes as well as their bibliometric features. Methods: Publications about prediabetes and osteoporosis between January 1994 and November 2023 were taken from the Scopus database, and VOSviewer and Microsoft Office Excel were used for bibliometric analysis and visualization. Results: We identified 272 documents that were written by 531 authors from 48 countries including 252 organizations. The USA was the leading country with the highest publications (n = 84) and Canada had the largest citation impact per paper (109.0). University of California, San Francisco contributed the most publications (n = 6), while Universita degli Studi di Torino, Italy (275.0 and 5.25), had the highest citation impact. Frontiers in Endocrinology (n = 7), was the most productive journal, while Annals of Internal Medicine (322.0) was the most influential in terms of citation impact per paper. The funded research was 30.5 %, while 17.6 % of research were involved in international collaboration. Conclusion: The number of publications on this topic has increased over three decades. The highest citations per paper were received by the publications which had external funding, followed by those which had international collaboration. All the highly cited papers were published from high-income countries.

Indexed as

BibliometricsDiabetes mellitusOsteoporosisPre diabetic stateResearch

Identifiers

PMID39130691
PMCPMC11315212

What OpenQuestion holds

Textmetadata
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.