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Record W4404407152 · doi:10.3171/2024.8.peds23548

Hair-sparing approach versus traditional hair clipping for cerebral spinal fluid shunt procedures: a retrospective comparative study

2024· article· en· W4404407152 on OpenAlexaffabout
Saman Arfaie, Ali Sarabi, Arad Solgi, Eve Michaud, Eliana Rohr, Luca Giampa, Elyssia Ieropoli, Oliver Lasry, Roy Dudley

Bibliographic record

VenueJournal of Neurosurgery Pediatrics · 2024
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsMontreal Neurological Institute and HospitalMcGill UniversityWestern University
Fundersnot available
KeywordsMedicineShunt (medical)Cerebral Spinal FluidHydrocephalusSurgeryClipping (morphology)Cerebrospinal fluidRetrospective cohort studyLumbarEndoscopic third ventriculostomyAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Cerebral spinal fluid (CSF) diversion methods, including ventriculoperitoneal (VP) shunts, are the standard treatment for hydrocephalus. Hair clipping (HC) has been a routine neurosurgical practice of the great majority of neurosurgeons, due to the perception that this will either decrease the risk of shunt infection or allow for a faster, unimpeded opening and closing of the skin. The benefits of not cutting or clipping hair in terms of normalizing appearance and self-esteem are obvious. The purpose of this study was to assess whether the rate of shunt infection would differ between pediatric patients receiving operation via the hair-sparing (HS) approach versus HC. METHODS: A retrospective single-institution study comparing HS versus HC was conducted on pediatric patients undergoing long-term CSF shunt procedures at the Montreal Children's Hospital between August 2014 and April 2021. The primary outcome measure was shunt infection at 90 days and at long-term follow-up. Inclusion criteria were having at least 18 months of follow-up after long-term CSF shunt procedures, including insertions or revisions of VP shunts, ventriculoatrial shunts, cystoperitoneal shunts, subdural-peritoneal shunts, ventriculosubgaleal shunts, and ventriculosubgaleal reservoirs. Excluded procedures were those involving external ventricular drains, externalized shunts, Omaya reservoirs, endoscopic third ventriculostomies, and lumbar shunts. RESULTS: There were 434 CSF shunt procedures performed in 226 unique patients; 155 (35.71%) procedures were done using the HS approach versus 279 (64.29%) procedures via HC. At 90 days postoperatively, the infection rate was 1.29% in the HS group and 2.87% in the HC group, with an absolute risk difference of 1.58% (95% CI -1.07% to 4.23%, p = 0.24). At long-term follow-up (mean follow-up: 752 days and 716 days for the HS and HC groups, respectively), the rate of shunt infection remained at 1.29% for the HS group (no new infections) but rose to 4.66% for the HC group, with an absolute risk difference of 3.37% (95% CI 0.33%-6.41%, p = 0.03). CONCLUSIONS: Performing CSF shunt procedures without cutting or clipping any hair has a very low risk of shunt infection, and certainly does not appear to increase the risk of infection (or malfunction) versus the hair removal approach. It is a safe alternative and should be considered due to its esthetic and psychological benefits regarding normalization of appearance and ease of resuming a normal life following shunt surgery.

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)0.003
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.123
GPT teacher head0.325
Teacher spread0.202 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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