Evidence map›Paper›PMID 39739300›Full record

ArticleJournal of endocrinological investigation2025

Diagnostic delay, older age, and hormonal levels at diagnosis affect disease burden and mortality in acromegaly.

Valentina Gasco, Nunzia Prencipe, Daniela Cuboni, Emanuele Varaldo, Michela Sibilla, Luigi Simone Aversa, Alessandro Maria Berton, Fabio Bioletto, Ezio Ghigo, Silvia Grottoli and 1 more

Abstract read
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In one paragraph

Article in Journal of endocrinological investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Acromegaly complications: an update.The Journal of clinical endocrinology and metabolism · 2026
    Review
  2. Current controversies in acromegaly care.The Journal of clinical endocrinology and metabolism · 2026
    Review
  3. Article
  4. Article
  5. 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

11 authors.

Valentina GascoDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy. valentina.gasco@unito.it.ORCID http://orcid.org/0000-0002-6491-5731
Nunzia PrencipeDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Daniela CuboniDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Emanuele VaraldoDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Michela SibillaDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Luigi Simone AversaDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Alessandro Maria BertonDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Fabio BiolettoDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Ezio GhigoDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Silvia GrottoliDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.
Mauro MaccarioDivision of Endocrinology, Diabetes, and Metabolism, Department of Medical Science, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAcromegaly, a rare disease with peak incidence in early adulthood, is marked by significant diagnostic delay and increased mortality due to complications. While older patients often show milder disease activity, they experience longer diagnostic delay. Higher hormonal levels, advanced age, and prolonged delay are associated with more systemic complications. The interplay between hormonal levels, age at diagnosis, and diagnostic delay on disease activity and complications remains unclear. This study aimed to assess the hormonal and cardiometabolic features, as well as mortality, of acromegaly based on diagnostic delay and age at diagnosis.

methodsA retrospective study of 203 acromegalic patients, stratified by age at diagnosis (< 65 years, n = 175; ≥ 65 years, n = 28) and diagnostic delay (≤ 5 years, n = 103; > 5 years, n = 100). Data on clinical and hormonal profiles, cardiometabolic complications, and mortality were analyzed.

resultsIn multivariate analysis, age at diagnosis and diagnostic delay did not predict higher IGF-I SDS, which was associated only with male gender (OR 3.70, p = 0.001) and cardiometabolic burden (OR 3.36, p = 0.02). Younger age (OR 0.94, p = 0.000) and longer diagnostic delay (OR 1.15, p = 0.002) correlated with higher GH levels. Older age (OR 1.12, p = 0.000) and higher IGF-I SDS (OR 3.06, p = 0.02) were linked to greater cardiometabolic burden. Mortality was higher in older patients (OR 1.03, p = 0.03) and those with longer diagnostic delay (OR 1.10, p = 0.02).

conclusions1) older age at diagnosis strongly impacts cardiometabolic complications, while diagnostic delay has a lesser effect; 2) male gender, older age, diagnostic delay, and cardiometabolic burden predict hormonal disease burden; 3) older age and IGF-I SDS predict cardiometabolic complications; 4) mortality is predicted by older age and prolonged diagnostic delay.

Indexed as

AcromegalyBiomarkersCost of IllnessDelayed DiagnosisHuman Growth HormoneAdultAgedAge FactorsFemaleFollow-Up StudiesHumansInsulin-Like Growth Factor IMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersHuman Growth HormoneInsulin-Like Growth Factor IAcromegalyCardiovascular comorbidityDiagnostic delayElderly

Identifiers

PMID39739300

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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.