Evidence map›Paper›PMID 39361239›Full record

ReviewJournal of endocrinological investigation2025

Screening for endogenous hypercortisolism in patients with osteoporosis and fractures: why, when and how.

Roberta Giordano, Mirko Parasiliti Caprino, Paola Loli, Andrea Giustina

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of endocrinological investigation, 2025. 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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Guideline
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Roberta GiordanoDepartment of Biological and Clinical Sciences, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0001-8713-3532
Mirko Parasiliti CaprinoDivision of Endocrinology, Diabetology and Metabolism, Department of Medical Sciences, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0002-6930-7073
Paola LoliInstitute of Endocrine and Metabolic Sciences (IEMS), Università Vita-Salute San Raffaele IRCCS Ospedale San Raffaele, Via Olgettina, 58, Milano, 20132, Italy.ORCID http://orcid.org/0000-0002-5545-550X
Andrea GiustinaInstitute of Endocrine and Metabolic Sciences (IEMS), Università Vita-Salute San Raffaele IRCCS Ospedale San Raffaele, Via Olgettina, 58, Milano, 20132, Italy. giustina.andrea@hsr.it.ORCID http://orcid.org/0000-0001-6783-3398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal comorbidities are frequent and clinically relevant findings in Cushing's syndrome (CS) since an uncoupled suppressed bone formation and enhanced bone resorption leads to a marked skeletal damage with a rapid increase of fracture risk. Reduced Bone Mineral Density (BMD) has been consistently reported and osteopenia or osteoporosis are typical findings in patients with CS. Vertebral Fractures (VFs) are frequently reported and may occur even in patients with an only mild reduction of BMD. Since CS is diagnosed late due to often difficult biochemical and radiological confirmation as well as to signs and symptoms common in other much more frequent diseases an approach suggested for overcoming underdiagnosis is to screen patients with manifestations which may overlap with those of CS such as arterial hypertension, diabetes mellitus and osteoporosis. Our review will focus on the rationale and best practice for screening osteoporotic patients for CS.

Indexed as

Cushing SyndromeMass ScreeningOsteoporosisOsteoporotic FracturesBone DensityHumansSpinal FracturesBone mineral densityCushing’s syndromeGlucocorticoidsOsteoporosisScreeningVertebral fracturesVertebral morphometry

Identifiers

PMID39361239
PMCPMC12031758

What OpenQuestion holds

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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.