Evidence map›Paper›PMID 39610521›Full record

ArticleJournal of diabetes and metabolic disorders2024

Osteoporosis researches in Endocrinology & Metabolism Research Institute (EMRI) of Tehran University of Medical Sciences; a Scientometrics study.

Mohammad Javad Mansourzadeh, Kazem Khalagi, Hossein Yarmohammadi, Arash Ghazbani, Noushin Fahimfar, Firoozeh Hajipour, Mahnaz Sanjari, Safoora Gharibzadeh, Neda Mehrdad, Bagher Larijani and 1 more

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 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

11 authors.

Mohammad Javad MansourzadehSchool of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0666-7928
Kazem KhalagiOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0890-6232
Hossein YarmohammadiOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-8316-9511
Arash GhazbaniStudent Research Committee, Bushehr University of Medical Sciences, Bushehr, Iran.ORCID https://orcid.org/0000-0002-5569-7330
Noushin FahimfarOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-6205-9794
Firoozeh HajipourEndocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mahnaz SanjariOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-2992-6184
Safoora GharibzadehDepartment of Epidemiology and Biostatistics, Pasteur Institute of Iran, Tehran, Iran.ORCID https://orcid.org/0000-0003-4535-4040
Neda MehrdadElderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-0061-7353
Bagher LarijaniEndocrinology Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-5386-7597
Afshin OstovarOsteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-8670-5797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We investigated the research conducted on osteoporosis at EMRI to provide practical implications and suggestions for the development of future research. Methods: We searched osteoporosis and related concepts, as well as various forms of affiliations to EMRI to find published documents indexed in Web of Science, PubMed, and Scopus databases until January 27, 2020. The main purpose and scopes of the studies were classified into seven main study areas. Co-authorship relations were examined using the VOSviewer and keyword analysis was carried out by the ScientoPy. Results: A total 201 papers on the subject of osteoporosis with organizational affiliation to EMRI were found after initial screening and removing duplicates. A time trend analysis of publications showed a growing trend of EMRI's publication in the field of osteoporosis since 2014. A total of 558 independent authors participated in osteoporosis-related research at EMRI, and the average contribution of authors was 6.72 per papers. The Co-authorship network for authors contributing in at least five publications, showed 4 main clusters of independent authors. The co-occurrence network of keywords included three large and intertwined clusters including the epidemiology of osteoporosis and its resulting fractures and risk factors, bone markers and monitoring the effectiveness of treatment with them, and nutrition and supplements in the field of osteoporosis and fractures. Conclusion: EMRI has significantly contributed in osteoporosis science and related subjects during recent years, especially in public health aspects of osteoporosis and its risk factors and consequences. More attention should be paid to other areas such clinical and basic science studies.

Indexed as

BibliometricsEndocrinology and metabolism research instituteMetabolic bone diseasesOsteoporosisOsteoporosis research center

Identifiers

PMID39610521
PMCPMC11599666

What OpenQuestion holds

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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 OpenQuestion graph.