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Record W7053568565

VALUTAZIONE DELL’OUTCOME POST-OPERATORIO IN PAZIENTI PEDIATRICI SOTTOPOSTI AD INTERVENTO NEURO-CHIRURGICO PER NEOPLASIA DEL SISTEMA NERVOSO CENTRALE

2019· dissertation· en· W7053568565 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Research Information System (University of Udine) · 2019
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsNeurosurgeryAdverse effectSpinal cordCentral nervous system diseaseConfidence intervalCerebrospinal fluid
DOInot available

Abstract

fetched live from OpenAlex

Purpose: The aim of this study is to analyze the early outcome of the post-operatory (PO) period in terms of significant adverse events rate in neurosurgical pediatric patients with central nervous system tumors (CNS) at our institution, to identify possible risk factors for the occurrence of these events and to compare our results with published data.\n\nMaterials and methods: We prospectively recorded the PO data of children (0-16 years) with CNS tumors operated on between 2009 and 2018 at our institution and retrospectively reviewed them. We evaluated the occurrence of infections, seizures, hyponatremia, new neurological deficits, hemorrhages, ischemia, and cerebrospinal fluid related complications. We applied the consensus definitions proposed by the Canadian Pediatric Neurosurgery Study Group and by the CDC in order to obtain data comparable with previous studies. In our analysis we considered the adverse events which occurred during the inpatient stay or within 30 days of surgery.\n\nResults: We reviewed the PO period of 78 procedures (54% M, mean age 9,1). 58% of children underwent tumor gross total resection, 31% partial removal and 11% a surgical biopsy. The tumor was supratentorial in 59%, infratentorial in 37% and located in the spinal cord in 4%. 73% of patients underwent a first surgical procedure while the rest a reintervention. Astrocytic tumor was the most frequent histological diagnosis (55 %). 6 % of children developed Hydrocephalus, 5 % a maior CSF leakage and 8 % a significant pseudomeningocele. 49 % of children developed fever and 87 % were treated with an antibiotic. in 20 % of procedures the PO period was associated with some kind of infection but only 6 % of children experienced a CNS or shunt infection. 19 % of patients developed a new moderate to severe neurological deficit and seizures occurred in 5 %. We recorded no hemorrhages, 4 % ischemic events and 23 % of patients experienced Hyponatremia but only 4 % a CSWS and 4 % a SIADH. \nThe mortality rate was 0% while 31% of operations were linked to at least one significant adverse event (SAE). On logistic regression analysis we found that radical procedures have a 79 % and supratentorial tumors a 87 % lower risk of SAE in the PO period in comparison with partial removal/biopsy and infratentorial/spinal (p 0,009 and p 0,003). The mean hospital and ICU PO length of stay in procedures linked with at least one SAE was 34.2 days (SD26.6) and 9.5 days (SD 19.3) respectively, which was statistically significantly longer than what we found in procedures with no SAE events (p<0.00001, p<0.005).\n\nConclusions: \nOur SAE rate in a general tertiary hospital is high but comparable to other important international pediatric institutions using the same system. Earlier recognition of risk factors and post-operatory adverse events is fundamental for patient management and could affect long term outcome. This research will provide useful data to improve the quality of treatments delivered to children with CNS tumors after surgery, continuous surveillance is needed.

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)0.005
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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.026
GPT teacher head0.282
Teacher spread0.256 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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