Evidence map›Paper›PMID 37347112›Full record

ReviewFrontiers in endocrinology2023

Predicting morphological and functional variations of benign adrenal incidentalomas in relation to initial characteristics.

Chiara Parazzoli, Vittoria Favero, Carmen Aresta, Valentina Morelli

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Chiara ParazzoliDepartment of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy.
Vittoria FaveroDepartment of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy.
Carmen ArestaEndocrinology Department & Lab of Endocrine and Metabolic Research, IRCCS-Istituto Auxologico Italiano, Milan, Italy.
Valentina MorelliEndocrinology Department & Lab of Endocrine and Metabolic Research, IRCCS-Istituto Auxologico Italiano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The follow-up strategy for unresected non-functional adrenal tumors (NFAT) is a major controversial issue in endocrinological clinical practice, as the natural history of adrenal incidentalomas (AI) is partially unknown and a consensus on their adequate management is lacking. In a recent longitudinal study by Ceccato et al., a large cohort of patients with conservatively treated AI were evaluated for possible radiological variations over time and their relationship with autonomous cortisol secretion (ACS). Starting from this paper, we performed a literature review of available longitudinal studies focus on the same issue. Notwithstanding the high variability in the duration of follow-up and in the criteria used to define ACS in the included studies, our findings support the idea that there is a not negligible risk of morphological and functional changes, which may have metabolic implications, especially after 5-10 years of follow-up. Unfortunately, these variations seem to be scarcely predictable. Therefore, it may be risky to interrupt the follow-up in patients with NFAT, in particular in the presence of larger diameter of the adenoma and higher cortisol levels at diagnosis. These results should be considered in defining the optimal management of these patients.

Indexed as

AdenomaAdrenal Gland NeoplasmsHumansHydrocortisoneIncidental FindingsHydrocortisoneadrenal incidentalomaattenuation valueautonomous cortisol secretionCushing’s syndromenon-functional adrenal incidentaloma

Identifiers

PMID37347112
PMCPMC10280065

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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.