Evidence map›Paper›PMID 32803369›Full record

ArticleActa neurochirurgica2020

Early unplanned readmission of neurosurgical patients after treatment of intracranial lesions: a comparison between surgical and non-surgical intervention group.

Caroline Sander, Henry Oppermann, Ulf Nestler, Katharina Sander, Nikolaus von Dercks, Jürgen Meixensberger

Open access · hybridAbstract read
In one paragraph

Article in Acta neurochirurgica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Caroline SanderDepartment of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany. caroline.sander@medizin.uni-leipzig.de.
Henry OppermannDepartment of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
Ulf NestlerDepartment of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
Katharina Sander, Berlin, Germany.
Nikolaus von DercksDepartment for Medical Controlling, University Hospital Leipzig, Liebigstrasse 18, 04103, Leipzig, Germany.
Jürgen MeixensbergerDepartment of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
University Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent health care policy making has highlighted the necessity for understanding factors that influence readmission. To elucidate the rate, reason, and predictors of readmissions in neurosurgical patients, we analyzed unscheduled readmissions to our neurosurgical department after treatment for cranial or cerebral lesions.

methodsFrom 2015 to 2017, all adult patients who had been discharged from our Department of Neurosurgery and were readmitted within 30 days were included into the study cohort. The patients were divided into a surgical and a non-surgical group. The main outcome measure was unplanned inpatient admission within 30 days of discharge.

resultsDuring the observation period, 183 (7.4%) of 2486 patients had to be readmitted unexpectedly within 30 days after discharge. The main readmission causes were surgical site infection (34.4 %) and seizure (16.4%) in the surgical group, compared to natural progression of the original diagnosis (38.2%) in the non-surgical group. Most important predictors for an unplanned readmission were younger age, presence of malignoma (OR: 2.44), and presence of cardiovascular side diagnoses in the surgical group. In the non-surgical group, predictors were length of stay (OR: 1.07) and the need for intensive care (OR: 5.79).

conclusionsWe demonstrated that reasons for readmission vary between operated and non-operated patients and are preventable in large numbers. In addition, we identified treatment-related partly modifiable factors as predictors of unplanned readmission in the non-surgical group, while unmodifiable patient-related factors predominated in the surgical group. Further patient-related risk adjustment models are needed to establish an individualized preventive strategy in order to reduce unplanned readmissions.

Indexed as

Patient DischargeAdultAgedBrain NeoplasmsCerebrovascular DisordersCritical CareFemaleHumansMaleMiddle AgedNeurosurgical ProceduresPatient ReadmissionPostoperative ComplicationsRetrospective StudiesRisk FactorsSeizures30-day readmissionAdverse eventsConservative treatmentInterventionNeurosurgerySurgical treatmentUnplanned readmission

Identifiers

PMID32803369
PMCPMC7550291
OpenAlexW3049578919

What OpenQuestion holds

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LicenceCC BY
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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.