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Record W4398169230 · doi:10.1002/hed.27746

Skull base surgery for malignant tumors: The 2nd international collaborative study (1995–2015)

2024· article· en· W4398169230 on OpenAlexaff
Jatin P. Shah, Helena Levyn, Cristina Valero, Dauren Adilbay, Alana Eagan, Junting Zheng, Mithat Gönen, Marc A. Cohen, Snehal G. Patel, Ian Ganly, Prathamesh Pai, Paolo Castelnuovo, Fang Ju Gao, Cesare Piazza, Piero Nicolai, Benedict Panizza, James Bowman, Catherine Barnett, Luiz Paulo Kowalski, Ronaldo Nunes Toledo, Dan M. Fliss, John DeAlmeida, Ian Witterick, Philippe Herman, Walter Fontanella, Gregorio Sánchez Aniceto, Şefik Hoşal, Serdar Özer, Subramania Iyer, Richard P. Harvey, C. René Leemans, Jan Hendrickx, Marcelo Figari, Luis Alejandro Boccalatte, Ken‐ichi Nibu, Peter Clarke, Catherine Rennie, Zhu Yi Ming, Cláudio Roberto Cernea, Sérgio Eduardo de Paiva Gonçalves, Rodney J. Schlosser, Fernando Luiz Dias, Zoukaa Sargi, Shahzada Ahmed, Wojciech Golusiński, Se‐Heon Kim, Shirley Y. Su, Shaan M. Raza, Franco DeMonte

Bibliographic record

VenueHead & Neck · 2024
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity Health Network
FundersNational Cancer InstituteNational Institutes of Health
KeywordsSkullBase (topology)MedicineGeneral surgerySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: The current study presents the effort of a global collaborative group to review the management and outcomes of malignant tumors of the skull base worldwide. PATIENTS AND METHODS: A total of 28 institutions contributed data on 3061 patients. Analysis evaluated clinical variables, survival outcomes, and multivariable factors associated with outcomes. RESULTS: The median age was 56 years (IQR 44-67). The open surgical approach was used in 55% (n = 1680) of cases, endoscopic resection was performed in 36% (n = 1087), and the combined approach in 9.6% (n = 294). With a median follow-up of 7.1 years, the 5-year OS DSS and RFS were 65%, 71.7% and 53%, respectively. On multivariable analysis, older age, comorbidities, histology, dural/intracranial involvement, positive margins, advanced stage, and primary site were independent prognostic factors for OS, DSS, and RFS. Adjuvant RT was a protective prognostic factor. CONCLUSION: The progress across various disciplines may have contributed to improved OS and DSS in this study compared to previous reports.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.046
GPT teacher head0.374
Teacher spread0.328 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations9
Published2024
Admission routes1
Has abstractyes

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