Evidence map›Paper›PMID 40434548›Full record

ReviewEndocrine2025

Pathophysiology and evaluation of bone health in adrenal diseases.

M M Uygur, L di Filippo, S Frara, S Menotti, A Giustina

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, 2025. 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. Review
  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

5 authors.

M M UygurInstitute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0002-6569-8142
L di FilippoInstitute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan, Italy.
S FraraInstitute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan, Italy.ORCID 0000-0002-1308-5598
S MenottiInstitute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan, Italy.
A GiustinaInstitute of Endocrine and Metabolic Sciences, Università Vita-Salute San Raffaele, IRCCS Ospedale San Raffaele, Milan, Italy. giustina.andrea@hsr.it.ORCID 0000-0001-6783-3398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adrenal diseases are associated with an increased risk of osteopenia/osteoporosis and fragility fractures. Although dual-energy X-ray absorptiometry remains the gold standard for assessing bone mineral density, its limitations in accurately predicting vertebral fractures underscore the need for complementary diagnostic tools, particularly in the context of adrenal disorders. Vertebral fractures, often asymptomatic, may go undetected without targeted assessments such as morphometric evaluation. Incorporating advanced diagnostic tools, such as the trabecular bone score, into the evaluation of adrenal disorder-related skeletal fragility may enhance the identification of high-risk patients and support tailored therapeutic strategies. This review explores skeletal fragility from pathophysiological, clinical, and diagnostic perspectives and provides guidance to physicians for the management of adrenal disorders to improve bone health outcomes.

Indexed as

Adrenal Gland DiseasesBone and BonesBone Diseases, MetabolicOsteoporosisAbsorptiometry, PhotonBone DensityHumansAdrenal insufficiencyGlucocorticoid-induced osteoporosisMild autonomous cortisol secretionPheochromocytomaPrimary aldosteronismVertebral fractures

Identifiers

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.