Evidence map›Paper›PMID 27110572›Full record

ArticleBioMed research international2016

Defining Prolonged Length of Acute Care Stay for Surgically and Conservatively Treated Patients with Spontaneous Intracerebral Hemorrhage: A Population-Based Analysis.

Marco Stein, Björn Misselwitz, Gerhard F Hamann, Malgorzata A Kolodziej, Marcus H T Reinges, Eberhard Uhl

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Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

7 citing papers in PubMed.

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  4. Complete Impact of Care Fragmentation on Readmissions Following Urgent Abdominal Operations.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2019
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4 · The record

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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

6 authors.

Marco SteinDepartment of Neurosurgery, Justus-Liebig University Giessen, Klinikstrasse 33, 35392 Giessen, Germany.
Björn MisselwitzInstitute of Quality Assurance Hesse, Frankfurter Strasse 10-14, 65760 Eschborn, Germany.
Gerhard F HamannDepartment of Neurology and Neurological Rehabilitation, Bezirkskrankenhaus Günzburg, Ludwig-Heilmeyer-Strasse 2, 89312 Günzburg, Germany.
Malgorzata A KolodziejDepartment of Neurosurgery, Justus-Liebig University Giessen, Klinikstrasse 33, 35392 Giessen, Germany.
Marcus H T ReingesDepartment of Neurosurgery, Justus-Liebig University Giessen, Klinikstrasse 33, 35392 Giessen, Germany.
Eberhard UhlDepartment of Neurosurgery, Justus-Liebig University Giessen, Klinikstrasse 33, 35392 Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe definition of prolonged length of stay (LOS) during acute care remains unclear among surgically and conservatively treated patients with intracerebral hemorrhage (ICH).

methodsUsing a population-based quality assessment registry, we calculated change points in LOS for surgically and conservatively treated patients with ICH. The influence of comorbidities, baseline characteristics at admission, and in-hospital complications on prolonged LOS was evaluated in a multivariate model.

resultsOverall, 13272 patients with ICH were included in the analysis. Surgical therapy of the hematoma was documented in 1405 (10.6%) patients. Change points for LOS were 22 days (CI: 8, 22; CL 98%) for surgically treated patients and 16 days (CI: 16, 16; CL: 99%) for conservatively treated patients. Ventilation therapy was related to prolonged LOS in surgically (OR: 2.2, 95% CI: 1.5-3.1; P < 0.001) and conservatively treated patients (OR: 2.5, 95% CI: 2.2-2.9; P < 0.001). Two or more in-hospital complications in surgical patients (OR: 2.7, 95% CI: 2.1-3.5) and ≥1 in conservative patients (OR: 3.0, 95% CI: 2.7-3.3) were predictors of prolonged LOS.

conclusionThe definition of prolonged LOS after ICH could be useful for several aspects of quality management and research. Preventing in-hospital complications could decrease the number of patients with prolonged LOS.

Indexed as

Length of StayAdultAgedAged, 80 and overCerebral HemorrhageDemographyFemaleHospitalizationHumansIntensive Care UnitsMaleMiddle AgedRisk Factors

Identifiers

PMID27110572
PMCPMC4826712

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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.