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Record W4411932982 · doi:10.1159/000547128

Frailty Indices in Patients Undergoing Functional Neurosurgical Procedures: A Systematic Review

2025· review· en· W4411932982 on OpenAlex
Carmelo Venero, Joanna M. Roy, Nirbha Ghurye, Akshay Warrier, Muhammad Khalid, Niels Pacheco-Barrios, Farhan A. Mirza, Christian A. Bowers

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueStereotactic and Functional Neurosurgery · 2025
Typereview
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeurosurgeryDeep brain stimulationNeuromodulationQuality of life (healthcare)ModalitiesMEDLINESystematic reviewEpilepsy surgeryPhysical medicine and rehabilitationEpilepsySurgeryInternal medicineDiseasePsychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: Functional neurosurgery covers a wide array of neurological disorders with an equally vast array of treatment modalities, including neuromodulation, decompressive, and ablative therapies for disparate pathologies such as pain, neuromodulation, disconnection, and refractory epilepsy. One of the most common functional treatments is deep brain stimulation for movement disorders and select psychiatric diseases. Functional neurosurgery treats patients with reduced quality of life from pathological neuronal pathways. Optimal patient selection by preoperatively identifying high-risk patients is critical for avoiding as many operative complications as possible, in addition to managing complications better once they occur. Frailty indices have demonstrated superior discrimination in predicting adverse postoperative outcomes across the spectrum of neurosurgical subspecialties when compared to increasing patient age. This systematic review describes multiple different frailty indices utilized by patients undergoing functional neurosurgery procedures. METHODS: A systematic review of literature was performed using PubMed. The Newcastle Ottawa Scale (NOS) was used to assess for risk of bias and studies with NOS >6 were considered high-quality. An initial search identified 541 articles through our search strategy and, after screening and review, five met criteria for inclusion The 5-factor modified frailty index (mFI-5) and Risk Analysis Index (RAI) were most frequently utilized (n = 5). One study utilized single-hospital databases in contrast to the nationwide databases utilized by the other four studies. RESULTS: RAI was found to have superior predictive ability as frailty metric when compared to the mFI-5. All five studies were considered high-quality based on the NOS. Frailty indices have demonstrated the ability to predict adverse outcomes in patients undergoing procedures from across the spectrum of neurosurgical subspecialties. CONCLUSION: Our review identified articles that utilized frailty indices in predicting outcomes among patients undergoing functional neurosurgery procedures.

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.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.297
Teacher spread0.254 · 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