Evidence map›Paper›PMID 39290478›Full record

ArticleHCA healthcare journal of medicine2024

Characteristics of Patients Hospitalized to Community Hospitals With Malignant Brain Tumors and Factors Associated With Discharge Destination.

Se Won Lee, Thanapath D Thantacheva, Denny Mack

Abstract read
In one paragraph

Article in HCA healthcare journal of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Se Won LeeSunrise Health GME Consortium, MountainView Hospital, Las Vegas, NV.
Thanapath D ThantachevaSunrise Health GME Consortium, MountainView Hospital, Las Vegas, NV.
Denny MackSouthern Nevada VA Healthcare System, Las Vegas, NV.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our main objective was to compare the characteristics and hospital outcomes of patients with primary and metastatic brain malignancies and to investigate the associated factors related to hospital outcomes. Methods: We conducted a retrospective, cross-sectional study of 1628 patients with brain malignancies from 8 community hospitals between 2017 and 2022 who were identified using International Classification of Disease codes. A stepwise logistic regression was used to identify demographics and clinical characteristics associated with in-hospital mortality and home discharge. Results: The median age was 65 years old, with 72.5% of patients having metastatic brain malignancies. After 7.2 days of hospital stay, 49.2% were discharged home, and 102 patients expired during hospitalization. Increased age, medical coverage by Medicare, hemiplegia or paraplegia, lower initial hemoglobin level, increased length of stay, and the use of electrolyte replacement, antibiotics, laxatives, heparin, and anticonvulsants were associated with a decreased likelihood of discharge to home. No medical insurance, Medicaid insurance coverage, comorbidities of cerebrovascular disorder, the need to stay in the intensive care unit, patient safety indicator events, and the use of antibiotics, oral analgesics, and ipratropium-albuterol were associated with increased odds of in-hospital mortality. Conclusion: We identified several predictor variables that delineate differences between both mortality risk and home discharge in patients with primary and metastatic brain tumors. Understanding these predictor variables can be helpful in improving the acute and post-acute care of this population.

Indexed as

brain metastasesbrain neoplasmshospital mortalitymalignancypatient dischargeprimary brain tumors

Identifiers

PMID39290478
PMCPMC11404599

What OpenQuestion holds

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Registered trials

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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.