ReviewSurgery today2024
Diagnosis and management of adrenal incidentaloma: use of clinical judgment and evidence in dialog with the patient.
Review in Surgery today, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 7 citations in OpenAlex.
- A Real-World Study in Non-Functional Adrenal Tumours: Refining Central DXA Results.Journal of clinical medicine · 2026Article
- Reliability of CT attenuation value for adrenal masses.Endocrine connections · 2026Article
- The Relationship Between Bone Health Status of Post-Menopausal Women with Non-Functional Adrenal Tumours/Mild Autonomous Cortisol Secretion and Their Baseline Morning Adrenocorticotropic Level.Diagnostics (Basel, Switzerland) · 2026Article
- Mineral Metabolism Assays, Central DXA, and Fracture Risk Probabilities in Menopausal Patients with Non-Functional Adrenal Tumors with/Without Mild Autonomous Cortisol Secretion: Does the Presence of Unilateral Versus Bilateral Tumors Matter?Life (Basel, Switzerland) · 2025Article
- The role of interviewing in endocrine practice.Journal of endocrinological investigation · 2025Review
- Diabetes Mellitus in Non-Functioning Adrenal Incidentalomas: Analysis of the Mild Autonomous Cortisol Secretion (MACS) Impact on Glucose Profile.Biomedicines · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevalence of adrenal incidentaloma (AI) in imaging studies, including those of the adrenal glands, is estimated to be 1-5%. Essential factors for the proper management of AI include a correct diagnosis, adequate surgical skills, appropriate perioperative management, and sound dialogue with the patient. Aside from the possibility of overdiagnosis, patients with apparent signs or symptoms attributable to adrenal hormone excess have reasonable indications for surgery. At the same time, milder patients may be candidates for active surveillance without intervention. Even individuals with nonfunctioning AI may benefit from surgery if imaging studies depict the tumor as suggestive of malignancy. However, a differential diagnosis of AI may not be easy for surgeons with little experience in seeing such patients.Furthermore, a patient without a correct diagnosis may miss the window of opportunity for a cure or incur a greater risk of developing complications, such as adrenal insufficiency or cardiovascular events during or after surgery, due to inadequate management. The clinical practice guidelines for AI from around the world may be helpful for shared decision-making; however, Japan lacks established guidelines. In this review article, we propose practical guidelines relevant to management by summarizing the evidence for five key questions that are often asked in dialog with patients with AI.
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.