Evidence map›Paper›PMID 34973139›Full record

ArticlePituitary2022

Prevalence of comorbidities and concomitant medication use in acromegaly: analysis of real-world data from the United States.

Maria Fleseriu, Ariel Barkan, Maria Del Pilar Schneider, Yannis Darhi, Amicie de Pierrefeu, Antonio Ribeiro-Oliveira, Stephan Petersenn, Sebastian Neggers, Shlomo Melmed

Open access · hybridAbstract read
In one paragraph

Article in Pituitary, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Acromegaly: diagnostic challenges and individualized treatment.Expert review of endocrinology & metabolism · 2025
    Review
  8. Article
  9. Article
  10. Observational
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Role of Estrogen and Estrogen Receptor in GH-Secreting Adenomas.International journal of molecular sciences · 2023
    Review
  17. Article
  18. Article
  19. 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

9 authors at 6 institutions in 3 countries.

Maria FleseriuPituitary Center, Division of Endocrinology, Diabetes and Clinical Nutrition, Departments of Medicine and Neurological Surgery, Oregon Health & Science University, 3303 SW Bond Ave, Mail Code CH8N, Portland, OR, 97239, USA. fleseriu@ohsu.edu.ORCID http://orcid.org/0000-0001-9284-6289
Ariel BarkanA. Alfred Taubman Health Care Center, University of Michigan, Ann Arbor, MI, USA.
Maria Del Pilar SchneiderIpsen, Les Ulis, France.
Yannis DarhiIpsen, Boulogne-Billancourt, France.
Amicie de PierrefeuIpsen, Boulogne-Billancourt, France.
Antonio Ribeiro-OliveiraIpsen, Cambridge, MA, USA.
Stephan PetersennENDOC Center for Endocrine Tumors, Erik-Blumenfeld-Platz 27a, 22587, Hamburg, Germany.
Sebastian NeggersDepartment of Medicine, Section Endocrinology, Pituitary Center Rotterdam, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands.
Shlomo MelmedCedars-Sinai Medical Center, Los Angeles, CA, USA.
Ipsen (France) · FRCedars-Sinai Medical Center · USErasmus MC · NLIpsen (United States) · USOregon Health & Science University · USUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatients receiving treatment for acromegaly often experience significant associated comorbidities for which they are prescribed additional medications. We aimed to determine the real-world prevalence of comorbidities and concomitant medications in patients with acromegaly, and to investigate the association between frequency of comorbidities and number of concomitantly prescribed medications.

methodsAdministrative claims data were obtained from the IBM® MarketScan® database for a cohort of patients with acromegaly, identified by relevant diagnosis codes and acromegaly treatments, and a matched control cohort of patients without acromegaly from January 2010 through April 2020. Comorbidities were identified based on relevant claims and assessed for both cohorts.

resultsOverall, 1175 patients with acromegaly and 5875 matched patients without acromegaly were included. Patients with acromegaly had significantly more comorbidities and were prescribed concomitant medications more so than patients without acromegaly. In the acromegaly and control cohorts, respectively, 67.6% and 48.4% of patients had cardiovascular disorders, the most prevalent comorbidities, and 89.0% and 68.3% were prescribed > 3 concomitant medications (p < 0.0001). Hypopituitarism and hypothalamic disorders, sleep apnea, malignant neoplasms and cancer, and arthritis and musculoskeletal disorders were also highly prevalent in the acromegaly cohort. A moderate, positive correlation (Spearman correlation coefficient 0.60) was found between number of comorbidities and number of concomitant medications in the acromegaly cohort.

conclusionCompared with patients without acromegaly, patients with acromegaly have significantly more comorbidities and are prescribed significantly more concomitant medications. Physicians should consider the number and type of ongoing medications for individual patients before prescribing additional acromegaly treatments.

Indexed as

AcromegalyCohort StudiesComorbidityDatabases, FactualHumansPrevalenceRetrospective StudiesUnited StatesAcromegalyComorbiditiesConcomitant medicationsInjectable medicationsOral medicationsReal-world data

Identifiers

PMID34973139
PMCPMC8894179
OpenAlexW4205333838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.