Evidence map›Paper›PMID 32060689›Full record

ReviewEndocrine2020

Acromegaly in the elderly patients.

Maria Rosaria Ambrosio, Irene Gagliardi, Sabrina Chiloiro, Ana Gonçalves Ferreira, Marta Bondanelli, Antonella Giampietro, Antonio Bianchi, Laura De Marinis, Maria Fleseriu, Maria Chiara Zatelli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The changing landscape of acromegaly - an epidemiological perspective.Reviews in endocrine & metabolic disorders · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Approach of Acromegaly during Pregnancy.Diagnostics (Basel, Switzerland) · 2022
    Review
  20. Article
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

10 authors at 4 institutions in 3 countries.

Maria Rosaria AmbrosioSection of Endocrinology & Internal Medicine, Dept of Medical Sciences, University of Ferrara, Ferrara, Italy.
Irene GagliardiSection of Endocrinology & Internal Medicine, Dept of Medical Sciences, University of Ferrara, Ferrara, Italy.
Sabrina ChiloiroPituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.ORCID http://orcid.org/0000-0001-9241-2392
Ana Gonçalves FerreiraEndocrinology and Diabetes Department, Garcia de Orta Hospital, Almada, Portugal.
Marta BondanelliSection of Endocrinology & Internal Medicine, Dept of Medical Sciences, University of Ferrara, Ferrara, Italy.ORCID http://orcid.org/0000-0001-8071-6559
Antonella GiampietroPituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.ORCID http://orcid.org/0000-0001-5756-2045
Antonio BianchiPituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.ORCID http://orcid.org/0000-0002-4896-5499
Laura De MarinisPituitary Unit, Department of Endocrinology, Fondazione A Gemelli, IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.ORCID http://orcid.org/0000-0001-9916-0669
Maria FleseriuNorthwest Pituitary Center, Departments of Medicine and Neurological Surgery, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0001-9284-6289
Maria Chiara ZatelliSection of Endocrinology & Internal Medicine, Dept of Medical Sciences, University of Ferrara, Ferrara, Italy. ztlmch@unife.it.ORCID http://orcid.org/0000-0001-8408-7796
Università Cattolica del Sacro Cuore · ITUniversity of Ferrara · ITHospital Garcia de Orta · PTOregon Health & Science University · US

Funding

University of Ferrara FAR2019
6 · The paper itself

Abstract

backgroundAcromegaly is a rare disease characterized by a chronic exposition to growth hormone (GH) and insulin-like growth factor-1 (IGF-1), caused in most cases by a pituitary GH-secreting adenoma. Chronic GH excess induces systemic complications (metabolic, cardiovascular, respiratory, neoplastic, and musculoskeletal) and increased mortality if not appropriately treated. Recent epidemiological data report an improved life span of patients with acromegaly probably due to better acromegaly management; additionally, the number of pituitary incidentaloma in general population also increased over time due to more frequent imaging. Therefore, the number of elderly patients, newly diagnosed with acromegaly or in follow-up, is expected to grow in the coming years and clinicians will need to be aware of particularities in managing these patients. PURPOSE: This review aims to explore different aspects of acromegaly of the elderly patients, focusing on epidemiology, diagnosis, clinical presentation, complications, and management options.

methodsAvailable literature has been assessed through PubMed (data until August 2019) by specific keywords.

conclusionsAvailable data on acromegaly in the elderly patient are sparse, but point to important differences. Further studies are needed comparing elderly with younger patients with acromegaly to better define a tailored diagnostic and therapeutic management.

Indexed as

AcromegalyAdenomaGrowth Hormone-Secreting Pituitary AdenomaHuman Growth HormoneAgedHumansInsulin-Like Growth Factor IHuman Growth HormoneInsulin-Like Growth Factor IAcromegalyComorbiditiesDiagnosisElderlyEpidemiologyManagement

Identifiers

PMID32060689
OpenAlexW3005562530

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.