ReviewJournal of clinical medicine2023
Cognitive Dysfunction, an Increasingly Valued Long-Term Impairment in Acromegaly.
Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- The impact of pituitary adenomas on cognitive performance: a systematic review.Frontiers in endocrinology · 2025Pooled it
- Recent progress in the understanding of psychological complications of acromegaly: toward a longitudinal clinical phenotype.Pituitary · 2026Review
- Article
- Altered Brain Function and Network Topology in Patients With Acromegaly: Resting-State fMRI Study of Networks Related to Cognitive and Emotional Processing.CNS neuroscience & therapeutics · 2026Article
- Metabolic Factors Related to Interpersonal Dysfunction in Acromegaly: A Nationwide Cross-Sectional Study in China.CNS neuroscience & therapeutics · 2025Article
- Curcumin for the treatment of pituitary adenomas: the potential of a single agent for multifaceted therapeutic effects.Frontiers in endocrinology · 2025Review
- Impact of growth hormone-secreting pituitary adenoma on limbic system and its correlation with cognitive impairment.Heliyon · 2024Article
- Cognition and psychological wellbeing in hypopituitary patients.Reviews in endocrine & metabolic disorders · 2024Review
- Acromegalic Rat Model Presented Cognitive Impairments and Tau Hyperphosphorylation in the Hippocampus.Neuroendocrinology · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Acromegaly is a chronic disease caused by the overproduction of growth hormone (GH) and accompanying insulin-like growth factor-1 (IGF-1), which is often caused by GH-secreting pituitary adenomas. In addition to its somatic burden, a growing number of studies have found that patients suffering from acromegaly exhibit psychosocial and personality changes. Over the past 70 years, there has been increasing interest in the cognitive impairment and neuropsychological issues of patients with acromegaly, and a variety of neuropsychological and neurophysiological tests have been used to measure cognitive changes in patients. The impact of disease progression status, treatment modalities, and various comorbidities on cognitive function and the mechanisms of cognitive impairment in patients with acromegaly are therefore outlined in this review. Multidisciplinary assessment has important implications for the management of acromegaly, particularly in relation to cognitive function. Here, we summarize the relevant literature concerning cognitive-behavioral research on acromegaly to demonstrate the impact of long-term impairment caused by GH and IGF-1 on the cognitive behavior of patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.