Evidence map›Paper›PMID 37509051›Full record

ArticleBrain sciences2023

Endoscopic Endonasal Transplanum-Transtuberculum Approach for Pituitary Adenomas/PitNET: 25 Years of Experience.

Alessandro Carretta, Matteo Zoli, Federica Guaraldi, Giacomo Sollini, Arianna Rustici, Sofia Asioli, Marco Faustini-Fustini, Ernesto Pasquini, Diego Mazzatenta

Abstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Alessandro CarrettaDepartment of Bio-Medical and Neuromotor Sciences (DIBINEM), University of Bologna, 40138 Bologna, Italy.ORCID 0000-0003-3286-448X
Matteo ZoliDepartment of Bio-Medical and Neuromotor Sciences (DIBINEM), University of Bologna, 40138 Bologna, Italy.ORCID 0000-0001-8838-5408
Federica GuaraldiIRCCS Istituto delle Scienze Neurologiche di Bologna, Programma Neurochirurgia Ipofisi-Pituitary Unit, 40139, Bologna, Italy.ORCID 0000-0001-8416-1669
Giacomo SolliniENT Unit, Bellaria Hospital, Azienda USL Bologna, 40139 Bologna, Italy.ORCID 0000-0002-6536-0184
Arianna RusticiDepartment of Bio-Medical and Neuromotor Sciences (DIBINEM), University of Bologna, 40138 Bologna, Italy.
Sofia AsioliDepartment of Bio-Medical and Neuromotor Sciences (DIBINEM), University of Bologna, 40138 Bologna, Italy.ORCID 0000-0002-5035-2448
Marco Faustini-FustiniIRCCS Istituto delle Scienze Neurologiche di Bologna, Programma Neurochirurgia Ipofisi-Pituitary Unit, 40139, Bologna, Italy.
Ernesto PasquiniENT Unit, Bellaria Hospital, Azienda USL Bologna, 40139 Bologna, Italy.
Diego MazzatentaDepartment of Bio-Medical and Neuromotor Sciences (DIBINEM), University of Bologna, 40138 Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of the endoscopic transplanum-transtuberculum approach (ETTA) in the treatment of pituitary adenomas/PitNETs (PAs) is sparsely analyzed in the literature, and its use is still debated in the current practice. The aim of this study was to report our experience with this approach. Our institutional registry was retrospectively reviewed, and patients who underwent ETTA for a PA from 1998 to 2022 were included. Fifty-seven cases were enrolled over a time span of 25 years, corresponding to 2.4% of our entire PA caseload. Radical resection was achieved in 57.9% of cases, with re-do surgery (

Indexed as

complicationsendoscopic endonasalextendedoutcomePitNETpituitary adenomatransplanumtranstuberculum

Identifiers

PMID37509051
PMCPMC10377303

What OpenQuestion holds

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Registered trials

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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.