Evidence map›Paper›PMID 34548408›Full record

ArticleRespiratory care2021

The Influence of Hospital Urbanicity on Mortality in Patients With Acute Respiratory Failure: A National Cohort Retrospective Analysis.

Brittany N Burton, Suraj Trivedi, Alexander Beletsky, Ana Mitchell, Emily Nasser, Ulysses Cázares, Maxime Cannesson, Ulrich H Schmidt, Rodney A Gabriel

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Respiratory care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Observational Studies.Respiratory care · 2023
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Brittany N BurtonDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, California.
Suraj TrivediDepartment of Anesthesiology, University of California, San Diego, La Jolla, California.
Alexander BeletskyDepartment of Radiology, University of California, Davis, Davis, California.
Ana MitchellSchool of Medicine, University of California, San Diego, La Jolla, California.
Emily NasserDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, California.
Ulysses CázaresDepartment of Biomedical Sciences, California University of Science and Medicine, Colton, California.
Maxime CannessonDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, California.
Ulrich H SchmidtDepartment of Anesthesiology, University of California, San Diego, La Jolla, California.
Rodney A GabrielDepartment of Anesthesiology, University of California, San Diego, La Jolla, California. ragabriel@ucsd.edu.

Funding

Machine Learning of Physiological Waveforms and Electronic Health Record Data to Predict, Diagnose, and Treat Hemodynamic Instability in Surgical PatientsR01HL144692 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNESSON, MAXIME · 2019 to 2023
$3.5M
Biomedical Informatics Tools for Applied Perioperative PhysiologyR01EB029751 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNESSON, MAXIME · 2020 to 2023
$2.5M
NHLBI NIH HHS R01 HL144692NIBIB NIH HHS R01 EB029751
6 · The paper itself

Abstract

backgroundThe primary objective of this study was to employ a national database to evaluate the association of hospital urbanicity, urban versus rural, on mortality and length of hospital stay in patients hospitalized with acute respiratory failure.

methodsWe used the 2014 National Inpatient Sample database to evaluate the association of hospital urbanicity with (1) mortality and (2) prolonged hospital stay, defined as ≥ 75th percentile of the study population. We conducted a mixed-effects logistic regression analysis adjusting for sociodemographic variables and medical comorbidities. The random effect was hospital identification number (a unique value assigned in the NIS database for a specific institution). The odds ratio (OR), 95% CI, and

resultsThe odds of inpatient mortality were significantly higher among urban teaching (OR 1.39, 95% CI 1.39-1.66,

conclusionsThis study supports the current body of literature that there are significant differences in patient populations among hospital type. Differences in health outcomes among different types of hospitals should be considered when designing policies to address health equity as these are unique populations with specific needs.

Indexed as

Postoperative ComplicationsRespiratory InsufficiencyHospital MortalityHospitals, TeachingHospitals, UrbanHumansLength of StayRetrospective StudiesUnited Statesdisparityhospital length of staymortalityrespiratory failureruralurban

Identifiers

PMID34548408
PMCPMC10408415

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.