Evidence map›Paper›PMID 33047242›Full record

ArticleCalcified tissue international2021

Diffuse Idiopathic Skeletal Hyperostosis (DISH) in Type 2 Diabetes: A New Imaging Possibility and a New Biomarker.

Angelo Fassio, Giovanni Adami, Luca Idolazzi, Alessandro Giollo, Ombretta Viapiana, Emma Bosco, Riccardo Negrelli, Elena Sani, Damiano Sandri, Alessandro Mantovani and 3 more

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In one paragraph

Article in Calcified tissue international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  7. Review
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  9. Observational
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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

13 authors at 1 institution in 1 country.

Angelo FassioRheumatology Unit, University Hospital of Verona, Policlinico GB Rossi, Piazzale A. Scuro, 37134, Verona, Italy. angelo.fassio@yahoo.it.ORCID http://orcid.org/0000-0001-9187-232X
Giovanni AdamiRheumatology Unit, University Hospital of Verona, Policlinico GB Rossi, Piazzale A. Scuro, 37134, Verona, Italy.
Luca IdolazziRheumatology Unit, University Hospital of Verona, Policlinico GB Rossi, Piazzale A. Scuro, 37134, Verona, Italy.
Alessandro GiolloRheumatology Unit, University Hospital of Verona, Policlinico GB Rossi, Piazzale A. Scuro, 37134, Verona, Italy.
Ombretta ViapianaRheumatology Unit, University Hospital of Verona, Policlinico GB Rossi, Piazzale A. Scuro, 37134, Verona, Italy.
Emma BoscoRheumatology Unit, University Hospital of Verona, Policlinico GB Rossi, Piazzale A. Scuro, 37134, Verona, Italy.
Riccardo NegrelliRadiology Unit, University Hospital of Verona, Verona, Italy.
Elena SaniDivision of Endocrinology, Diabetes and Metabolism, University Hospital of Verona, Verona, Italy.
Damiano SandriDivision of Endocrinology, Diabetes and Metabolism, University Hospital of Verona, Verona, Italy.
Alessandro MantovaniDivision of Endocrinology, Diabetes and Metabolism, University Hospital of Verona, Verona, Italy.
Giovanni TargherDivision of Endocrinology, Diabetes and Metabolism, University Hospital of Verona, Verona, Italy.
Maurizio RossiniRheumatology Unit, University Hospital of Verona, Policlinico GB Rossi, Piazzale A. Scuro, 37134, Verona, Italy.
Davide GattiRheumatology Unit, University Hospital of Verona, Policlinico GB Rossi, Piazzale A. Scuro, 37134, Verona, Italy.
University of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a cross-sectional study to investigate the prevalence of Diffuse Idiopathic Skeletal Hyperostosis (DISH) through Dual-Energy X-ray absorptiometry (DXA) Vertebral Fracture Assessment (VFA) in a group of post-menopausal women with Type 2 Diabetes Mellitus (T2DM). We also explored several biomarkers of bone turnover metabolism, including Wnt pathway modulators. DXA-VFA was performed to detect the presence of DISH. Serum samples were collected from all patients at the time of study recruitment. 16 different serum biomarkers were tested between the two subgroups. Given the exploratory nature of the study, we did not adjust for multiplicity. At VFA analysis, among 96 individuals enrolled in the study 20 (20.8%) showed features of DISH. No statistically significant difference was found for BMD values, between the DISH and NO-DISH subgroups. Concerning blood biomarkers, DISH patients showed a significant difference only in the sclerostin serum levels (32 vs 35.5 pmol/L, for the DISH and NO-DISH subgroup, respectively; p = 0.010). After adjustment for confounding factors, sclerostin serum levels remained significantly lower in DISH group (p = 0.002). We demonstrated a non-negligible prevalence of DISH in a population of post-menopausal women affected by T2DM and suggested low serum sclerostin as a possible key feature associated with DISH presence. In addition, we propose DXA-VFA analysis, whose radiation dose is considerably lower than conventional radiography, as a viable diagnostic and prognostic mean to obtain data not only on bone health, but also for the screening for DISH in subjects at risk.

Indexed as

Diabetes Mellitus, Type 2Absorptiometry, PhotonAdaptor Proteins, Signal TransducingBiomarkersBone DensityBone RemodelingCross-Sectional StudiesFemaleHumansHyperostosis, Diffuse Idiopathic SkeletalPostmenopauseWnt Signaling PathwayAdaptor Proteins, Signal TransducingBiomarkersSOST protein, humanDensitometryDiffuse idiopathic skeletal hyperostosisDkk-1OsteoporosisSclerostinType 2 diabetes mellitusWnt pathway

Identifiers

PMID33047242
OpenAlexW3092169172

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.