Evidence map›Paper›PMID 32803222›Full record

ArticleNeurosurgery2020

Predicting Postoperative Outcomes in Brain Tumor Patients With a 5-Factor Modified Frailty Index.

Sakibul Huq, Adham M Khalafallah, Adrian E Jimenez, Abhishek Gami, Shravika Lam, Miguel A Ruiz-Cardozo, Leonardo A P Oliveira, Debraj Mukherjee

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Sakibul HuqDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Adham M KhalafallahDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Adrian E JimenezDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Abhishek GamiDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Shravika LamDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Miguel A Ruiz-CardozoDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Leonardo A P OliveiraDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Debraj MukherjeeDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Johns Hopkins University · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
NCATS NIH HHS UL1 TR001079
6 · The paper itself

Abstract

backgroundFrailty indices may represent useful decision support tools to optimize modifiable drivers of quality and cost in neurosurgical care. However, classic indices are cumbersome to calculate and frequently require unavailable data. Recently, a more lean 5-factor modified frailty index (mFI-5) was introduced, but it has not yet been rigorously applied to brain tumor patients.

objectiveTo investigate the predictive value of the mFI-5 on length of stay (LOS), complications, and charges in surgical brain tumor patients.

methodsWe retrospectively reviewed data for brain tumor patients who underwent primary surgery from 2017 to 2018. Bivariate (ANOVA) and multivariate (logistic and linear regression) analyses assessed the predictive power of the mFI-5 on postoperative outcomes.

resultsOur cohort included 1692 patients with a mean age of 55.5 yr and mFI-5 of 0.80. Mean intensive care unit (ICU) and total LOS were 1.69 and 5.24 d, respectively. Mean pulmonary embolism (PE)/deep vein thrombosis (DVT), physiological/metabolic derangement, respiratory failure, and sepsis rates were 7.2%, 1.1%, 1.6%, and 1.7%, respectively. Mean total charges were $42 331. On multivariate analysis, each additional point on the mFI-5 was associated with a 0.32- and 1.38-d increase in ICU and total LOS, respectively; increased odds of PE/DVT (odds ratio (OR): 1.50), physiological/metabolic derangement (OR: 3.66), respiratory failure (OR: 1.55), and sepsis (OR: 2.12); and an increase in total charges of $5846.

conclusionThe mFI-5 is a pragmatic and actionable tool which predicts LOS, complications, and charges in brain tumor patients. It may guide future efforts to risk-stratify patients with subsequent impact on postoperative outcomes.

Indexed as

Postoperative ComplicationsAdultAgedBrain NeoplasmsFemaleFrailtyHumansLength of StayMaleMiddle AgedMultivariate AnalysisOdds RatioPatient ReadmissionRetrospective StudiesRisk AssessmentBrain tumorCost effectivenessFrailtyOncology

Identifiers

PMID32803222
PMCPMC7849935
OpenAlexW3064740780

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.