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Record W4417091133 · doi:10.3171/2025.7.jns242821

Endoscopic endonasal surgery for prolactin-secreting adenoma: a retrospective multicenter study by the neuroendoscopy section of the Italian Society of Neurosurgery

2025· article· en· W4417091133 on OpenAlexaff
Matteo Zoli, Filippo Flavio Angileri, Martina Cappelletti, Francesco Doglietto, Alessandro Fiorindi, Cosimo Damiano Gianfreda, Liverana Lauretti, Luca Massimi, Angelo Musumeci, Stefano Peron, Maria Pia Tropeano, Corrado Zenesini, Cesare Zoia, Luigi Maria Cavallo, Diego Mazzatenta, Viola Bartoletti, Laura Maria Beatrice Belotti, Elena d’Avella, Giovanni Lasio, Pier Paolo Mattogno, Aristide Nanni, Simona Serioli, Giannantonio Spena, Roberto Stefini, Gianpiero Tamburrini, Mattia Testa

Bibliographic record

VenueJournal of neurosurgery · 2025
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsNeurosurgeryMulticenter studyRetrospective cohort studyEndoscopic endonasal surgerySection (typography)Endoscopy

Abstract

fetched live from OpenAlex

OBJECTIVE: Although dopamine agonist (DA) therapy still represents the standard of care for prolactinomas, a reconsideration of the role of transsphenoidal surgery has been promoted in recent years. The aim of this multicenter retrospective study was to assess the short- and long-term results of the endoscopic endonasal approach (EEA) for prolactinomas, analyzing which factors have a favorable prognostic role. METHODS: All consecutive prolactinomas operated on in 12 Italian neurosurgical centers between 2013 and 2023 were included. For each case, preoperative clinical and neuroradiological features were considered, as well as surgical complications and short- and long-term results. RESULTS: The series included 215 patients (44.2% males, mean age 39.7 [SD 16.6] years), accounting for 4.5% of all pituitary surgeries in these centers. The majority of prolactinomas (67.9%) were macroprolactinomas. Radical tumor resection was achieved in 171 patients (79.5%), and 3-month biochemical remission in 154 patients (71.6%). The most common surgical complication was postoperative CSF leak (2.8%). Endocrinological sequelae consisted of new onset of anterior hypopituitarism in 10.7% of cases, transient diabetes insipidus (DI) in 3.3%, and permanent DI in 2.3%. Long-term remission (mean follow-up 33.5 [SD 25.0] months) was achieved in 75.4% of patients, 14 patients (6.5%) presented with tumor recurrence/progression, and 1 (0.5%) demonstrated tumor evolution to carcinoma. CONCLUSIONS: The EEA is a valid option for the treatment of prolactinomas, with better results for micro tumors and regular macro tumors. This study found that preoperative prolactin values < 184 ng/ml were associated with higher chances of biochemical remission, as was larger pituitary surgery center volume. Currently, the most common surgical indications for prolactinomas are represented by cases that are not responsive or intolerant to DAs. However, interesting future perspectives considering EEA as a possible co-first-line therapy in selected patients have been recently proposed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.276
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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