Evidence map›Paper›PMID 33517465›Full record

ArticleActa neurochirurgica2022

Optimizing post anesthesia care unit admission after elective craniotomy for brain tumors: a cohort study.

Marina Munari, Alessandro De Cassai, Ludovica Sandei, Christelle Correale, Sabrina Calandra, Davide Iori, Federico Geraldini, Alessandra Vitalba, Marzia Grandis, Franco Chioffi and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Acta neurochirurgica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Marina Munari *UOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, via Giustiniani 2, 35128, Padua, Italy.
Alessandro De Cassai *UOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, via Giustiniani 2, 35128, Padua, Italy. alessandro.decassai@aopd.veneto.it.ORCID http://orcid.org/0000-0002-9773-1832
Ludovica SandeiDepartment of Medicine-DIMED, University of Padua, Padua, Italy.
Christelle CorrealeDepartment of Medicine-DIMED, University of Padua, Padua, Italy.
Sabrina CalandraDepartment of Medicine-DIMED, University of Padua, Padua, Italy.
Davide IoriDepartment of Medicine-DIMED, University of Padua, Padua, Italy.
Federico GeraldiniDepartment of Medicine-DIMED, University of Padua, Padua, Italy.
Alessandra VitalbaDepartment of Neurosurgery, University Hospital of Padua, Padua, Italy.
Marzia GrandisUOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, via Giustiniani 2, 35128, Padua, Italy.
Franco ChioffiDepartment of Neurosurgery, University Hospital of Padua, Padua, Italy.
Paolo NavalesiUOC Anaesthesia and Intensive Care Unit, University Hospital of Padua, via Giustiniani 2, 35128, Padua, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative admission to intensive care unit (ICU) after craniotomy for brain tumor was the routine in the past years. However, there is little evidence supporting this dogma and doubts have been casted by many authors in the last years. Our aim was to identify risk factors for ICU admission after elective brain tumor surgery in order to propose an individualized admission to ICU tailored on patient needs.

methodsWe conducted a retrospective cohort study including all patients undergoing elective surgery for brain tumor in a neurosurgical post anesthesia care unit of a university hospital over a period of 6 years. In order to identify and validate risk factors for ICU admission, we split the final cohort of patients in a training cohort (two/third of the cohort) and the validation cohort (one/third of the cohort) using a random sequence. Using univariate and multivariate logistic regression, we created a scoring system in the training cohort and tested it with the validation cohort. Moreover, we perform a sensitivity analysis on the overall population.

resultsA total of 420 patients were eligible for this study. ASA-PS, tumor volume, and surgery length entered the scoring system. Sensitivity analysis on the overall population for the scoring system had an AUC of 0.774 (95% CI 0.668-0.880, the best threshold at 12.5)

conclusionsWe created a tool based on ASA-PS, length of surgery, and tumor volume to evaluate the risk for ICU admission after supratentorial tumor resection. Prospective studies are deemed necessary to validate our tool.

Indexed as

AnesthesiaBrain NeoplasmsCohort StudiesCraniotomyElective Surgical ProceduresHumansIntensive Care UnitsPostoperative ComplicationsProspective StudiesRetrospective StudiesBrain tumorIntensive care unitNeurosurgeryPost anesthesia care unitRetrospective studyRisk factors

Identifiers

PMID33517465
OpenAlexW3127453169

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.