Evidence map›Paper›PMID 37745139›Full record

ReviewReumatologia2023

Osteoporosis and diabetes - possible links and diagnostic difficulties.

Joanna Magdalena Tomasiuk, Anna Nowakowska-Płaza, Małgorzata Wisłowska, Piotr Głuszko

Abstract readReview
In one paragraph

Review in Reumatologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Risk factors for refracture or new vertebral compression fractures after percutaneous vertebroplasty: a systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Pooled it
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  9. Pentosidine as a biomarker for bone fragility: Molecular mechanisms, clinical relevance, and detection strategies.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2026
    Review
  10. Novel SNP Combination for Predictive Osteoporotic Diagnosis.International journal of molecular sciences · 2025
    Article
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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

4 authors.

Joanna Magdalena TomasiukDepartment of Rheumatology, National Institute of Geriatric, Rheumatology and Rehabilitation, Warsaw, Poland.ORCID https://orcid.org/0009-0005-2873-3016
Anna Nowakowska-PłazaDepartment of Rheumatology, National Institute of Geriatric, Rheumatology and Rehabilitation, Warsaw, Poland.ORCID https://orcid.org/0000-0003-2365-1079
Małgorzata WisłowskaDepartment of Rheumatology, National Institute of Geriatric, Rheumatology and Rehabilitation, Warsaw, Poland.ORCID https://orcid.org/0000-0001-9272-349X
Piotr GłuszkoDepartment of Rheumatology, National Institute of Geriatric, Rheumatology and Rehabilitation, Warsaw, Poland.ORCID https://orcid.org/0000-0001-5717-4472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: In this review, the authors aimed to clarify the relationship between the occurrence of osteoporosis and diabetes, analyze the differences between the pathogenesis of osteoporosis in different types of diabetes and propose the most effective diagnostic strategy and fracture risk assessment in diabetic patients. Material and methods: A analysis of publications in MEDLINE, COCHRANE and SCOPUS databases was performed, searching for reports on the diagnostics, fracture risk assessment, prevention, and treatment of osteoporosis in patients with diabetes mellitus (DM) published in the years 2016-2022. The key words for the search were: diabetes, osteoporosis, and low-energy fracture. Results: Bone complications of T1DM are more severe than T2DM, because of the lack of anabolic effect of insulin on bones. In T2DM the risk of fractures is elevated; however, identifying the mechanisms underlying the increased risk of fractures in T2DM is not clear. The FRAX tool is not appropriate for assessing the fracture risk in young patients with T1DM. It is quite useful in older patients with T2DM, but in these patients the calculated fracture risk may be underestimated. In T2DM the fracture risk often does not correspond to BMD value as measured by dual-energy X-ray absorptiometry (DXA). Diagnostic tools such as the trabecular bone score may play a significant role in this group of patients. Conclusions: Optimal strategies to identify and treat high risk individuals require further research and proper definition. The diagnostic criteria for osteoporosis should be clearly defined as well as fracture risk assessment and choice of anti-osteoporotic medication. In all cases of secondary osteoporosis, treatment of the underlying disease is the most important. The relationship between high risk of fractures and diabetes is inseparable, and its full understanding seems to be the key to effective management.

Indexed as

diabetes mellitusfracturesosteoporosistrabecular bone score

Identifiers

PMID37745139
PMCPMC10515121

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.