ReviewEndocrine pathology2014
In search of a prognostic classification of endocrine pituitary tumors.
Review in Endocrine pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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
16 citing papers in PubMed.
- MRI based radiomics nomogram for predict recurrence of non functioning pituitary macroadenomas post surgery.Scientific reports · 2025Article
- Current and Emerging Medical Therapies in Pituitary Tumors.Journal of clinical medicine · 2022Review
- A Preoperative MRI-Based Radiomics-Clinicopathological Classifier to Predict the Recurrence of Pituitary Macroadenoma Within 5 Years.Frontiers in neurology · 2021Article
- Perioperative multidisciplinary management of endoscopic transsphenoidal surgery for sellar lesions: practical suggestions from the Padova model.Neurosurgical review · 2020Article
- Review
- Article
- Review
- RPSAP52 lncRNA is overexpressed in pituitary tumors and promotes cell proliferation by acting as miRNA sponge for HMGA proteins.Journal of molecular medicine (Berlin, Germany) · 2019Article
- Evaluation of the potential of the Ki67 index to predict tumor evolution in patients with pituitary adenoma.International journal of clinical and experimental pathology · 2019Article
- Factors That Predict the Growth of Residual Nonfunctional Pituitary Adenomas: Correlations between Relapse and Cell Cycle Markers.BioMed research international · 2018Article
- Contribution of molecular analysis to the typification of the non-functioning pituitary adenomas.PloS one · 2017Article
- Histological criteria for atypical pituitary adenomas - data from the German pituitary adenoma registry suggests modifications.Acta neuropathologica communications · 2015Article
- Epigenetic Mechanisms Leading to Overexpression of HMGA Proteins in Human Pituitary Adenomas.Frontiers in medicine · 2015Review
- Progress in the Diagnosis and Classification of Pituitary Adenomas.Frontiers in endocrinology · 2015Review
- Pituitary Adenoma and the Chemokine Network: A Systemic View.Frontiers in endocrinology · 2015Review
- ASSESSMENT AND COMPARISON OF HORMONAL IMMUNOEXPRESSION AND THE CLINICAL PICTURE IN PATIENTS WITH PITUITARY ADENOMAS.Acta endocrinologica (Bucharest, Romania : 2005)Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pituitary tumors, the most frequent intracranial tumors, are historically considered benign. However, various pieces of clinical evidence and recent advances in pathological and molecular data suggest the need to consider that these tumors are more than an endocrinological disease despite the low incidence of metastasis. We present here a historical and critical review of the classifications of pituitary tumors, including a new prognostic clinicopathological classification based on tumor size, immunohistological subtype (prolactin (PRL), growth hormone (GH), follicle-stimulating hormone and luteinizing hormone (FSH-LH), adrenocorticotropic hormone (ACTH), and thyroid-stimulating hormone (TSH)), and five grades, which take into account invasion and proliferation of the tumors. We also present a brief review of the main markers of tumor behavior. We believe that a better classification of these tumors and the identification of prognostic markers will help the clinician to choose the appropriate therapeutic management.
Indexed as
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24839229What 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.