Evidence map›Paper›PMID 38317487›Full record

ArticleBrain tumor research and treatment2024

Suggestion of Follow-Up Period in Nonfunctioning Pituitary Incidentaloma Based on MRI Characteristics.

Hyunchul Jung, Seung-Yeob Yang, Keun-Tae Cho

Open access · hybridAbstract read
In one paragraph

Article in Brain tumor research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Hyunchul JungDepartment of Neurosurgery, Dongguk University Ilsan Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0001-6541-1247
Seung-Yeob YangDepartment of Neurosurgery, Dongguk University Ilsan Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0002-4051-2751
Keun-Tae ChoDepartment of Neurosurgery, Dongguk University Ilsan Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0002-8372-7250
Dongguk University · KRDongguk University Ilsan Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor patients diagnosed with asymptomatic, non-functional pituitary incidentaloma (PI), periodic follow-up is generally proposed. However, the recommended follow-up period differs among existing guidelines and consensus is lacking. Thus, this study aimed to suggest follow-up periods for PI based on MRI characteristics.

methodsBetween 2007 and 2023, 245 patients who were diagnosed with PI were retrospectively assessed. Their mean clinical and neuroradiological follow-up periods were 74.2 and 27.3 months, respectively. Their baseline clinical and neuroradiological characteristics were analyzed. These 245 patients were divided into two groups: those with PI size progression and those without PI size progression. Additionally, neuroradiological features of each group were analyzed according to presumptive diagnoses of PI.

resultsPI size increased in 33 of 245 patients. For the remaining 212 patients, PI size decreased or stayed unchanged. Of the 33 patients with PI size progression, ten underwent surgery. Stalk deviation (

conclusionOur findings support an additional guideline for patients with asymptomatic non-functional PI without stalk deviation and enhancement. For these patients, the clinical and neuroradiological follow-up periods could be reduced.

Indexed as

Central nervous system cystFollow-up studiesMagnetic resonance imagingPituitary diseasesPituitary neoplasms

Identifiers

PMID38317487
PMCPMC10864133
OpenAlexW4392735297

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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.