Evidence map›Paper›PMID 40892261›Full record

Observational studyActa neurochirurgica2025

Cost savings associated with a nurse driven mobilization protocol for recovery after cranial tumor resection.

David Zarrin, Shivani Baisiwala, Jonah Im, Keshav Goel, Myungjun Ko, Sonia Wang, Humza Zubair, Alexander Valenzuela, Tristan Bennett, Dupre Orr and 1 more

Abstract readObservational Study
In one paragraph

Observational study in Acta neurochirurgica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

David ZarrinDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Shivani BaisiwalaUCLA Department of Neurosurgery, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Jonah ImDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Keshav GoelDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Myungjun KoDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Sonia WangDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Humza ZubairDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Alexander ValenzuelaDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Tristan BennettDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Dupre OrrDavid Geffen School of Medicine, UCLA, Los Angeles, USA.
Won KimUCLA Department of Neurosurgery, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA. wonkim@mednet.ucla.edu.

Funding

UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Yvonne Yu-Hsuan Chen · 2017 to 2026
$25.2M
UCLA-Caltech Medical Scientist Training ProgramT32GM152342 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Olujimi A Ajijola, David Wayne Dawson · 2024 to 2026
$5.3M
NCI NIH HHS P50 CA211015NIGMS NIH HHS T32 GM152342
6 · The paper itself

Abstract

BACKGROUND AND

objectivesNeurosurgical procedures can be associated with significant post-operative pain and diminished ability to ambulate or transfer, frequently requiring evaluation by physical / occupational therapy (PT/OT) to ensure appropriate discharge disposition. Owing to high demand for PT/OT services across surgical subspecialities, PT/OT evaluation often bottlenecks disposition. Through our established cranial Enhanced Recovery After Surgery (ERAS) pathway, Neurosurgery Enhanced Recovery Value and Safety (NERVS), our institution employs a nurse-driven mobilization component during post-operative recovery. Here, we report our eight-year experience with a unique institutional NERVS program.

methodsThis is a retrospective observational cohort study. We created a database of elective cranial tumor resections from 2017-2024. Patient demographics, hospitalization metrics, pain levels, and medications were extracted via chart review. Patients discharged home were selected for accurate comparison of outcomes. Analyses were performed in MATLAB.

resultsWe identified 1,594 elective craniotomy patients for analysis: 1,059 (66%) entered NERVS, 834 (52%) passed NERVS, 225 (14%) failed NERVS, and 535 (34%) did not enter. Among propensity-matched patients with a post-operative ICU LOS < 1 day, NERVS and no-NERVS groups did not differ in age (53.7 vs 55.1 years, p = 0.82), procedure duration (3.9 vs 3.6 h, p = 0.08), racial composition (p = 0.24-1), or tumor type (p = 0.23-0.89). Hospital LOS was significantly shorter among NERVS vs non-NERVS patients (2.9 vs 4.6 days, p < 0.001); this was associated with a reduction in total hospital charges on a per-patient basis (-$26,040, p < 0.001). Pain levels, morphine equivalents, and 30-day surgical readmission rate did not differ between home-discharge passed-NERVS and non-NERVS groups.

conclusionOur data demonstrates that nurse-driven mobilization in lieu of indiscriminate PT/OT evaluation after cranial tumor resection is associated with reduced hospitalization lengths-of-stay and total hospital charges among propensity-matched individuals, without an increase surgical readmission rate. Future mechanistic studies are necessary to determine if neurosurgical patients requiring less intensive post-operative rehabilitation assessment causally benefit from accelerated nurse-driven mobilization protocol.

Indexed as

Brain NeoplasmsCost SavingsCraniotomyEarly AmbulationEnhanced Recovery After SurgeryNeurosurgical ProceduresPostoperative PainAdultAgedFemaleHumansLength of StayMaleMiddle AgedRetrospective StudiesCost savingsCraniotomyNurse-driven mobilization

Identifiers

PMID40892261
PMCPMC12405358

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.