Evidence map›Paper›PMID 31412787›Full record

ArticleBMC geriatrics2019

Health outcome of older hospitalized patients in internal medicine environments evaluated by Identification of Seniors at Risk (ISAR) screening and geriatric assessment.

Anne-Carina Scharf, Janine Gronewold, Christian Dahlmann, Jeanina Schlitzer, Andreas Kribben, Guido Gerken, Tienush Rassaf, Christoph Kleinschnitz, Richard Dodel, Helmut Frohnhofen and 1 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

11 authors.

Anne-Carina ScharfDepartment of Neurology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany. anne-carina.scharf@uk-essen.de.ORCID 0000-0001-7541-7503
Janine GronewoldDepartment of Neurology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany.
Christian DahlmannNursing Headquarters, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany.
Jeanina SchlitzerDepartment of Nephrology, Geriatric and Internal Medicine, Alfried Krupp Hospital Ruettenscheid-Essen, Alfried-Krupp-Straße 21, 45131, Essen, Germany.
Andreas KribbenDepartment of Nephrology, University Hospital Essen, University Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany.
Guido GerkenDepartment of Gastroenterology and Hepatology, Faculty of Medicine, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany.
Tienush RassafDepartment of Cardiology and Vascular Medicine, West German Heart and Vascular Center, University Hospital Essen, Hufelandstraße 55, 45147, Essen, Germany.
Christoph KleinschnitzDepartment of Neurology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany.
Richard DodelDepartment of Geriatrics, University Hospital Essen, Germaniastraße 1-3, 45356, Essen, Germany.
Helmut FrohnhofenDepartment of Nephrology, Geriatric and Internal Medicine, Alfried Krupp Hospital Ruettenscheid-Essen, Alfried-Krupp-Straße 21, 45131, Essen, Germany.
Dirk M HermannDepartment of Neurology, University Hospital Essen, University of Duisburg-Essen, Hufelandstraße 55, 45147, Essen, Germany. dirk.hermann@uk-essen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitals are in need of valid and economic screening and assessment tools that help identifying older patients at risk for complications which require intensified support during their hospital stay.

methodsFive hundred forty-seven internal medicine in-patients (mean age 78.14 ± 5.96 years; 54.7% males) prospectively received Identification of Seniors at Risk (ISAR) screening. If screening results were positive (ISAR score ≥ 2), a comprehensive geriatric assessment (CGA) was performed. We explored sensitivity and specificity of different ISAR and CGA cutoffs. Further, we analyzed the risk of falls and how patients got discharged from hospital.

resultsISAR+/CGA abnormal patients spent more days in hospital (16.1 ± 14.5), received more nursing hours per day (3.0 ± 2.3), more hours of physiotherapy during their hospital stay (2.2 ± 3.2), and had more falls (10.1%) compared to ISAR+/CGA normal (10.9 ± 12.3, 2.0 ± 1.2, 1.2 ± 4.3, and 2.8%, respectively, all p ≤ 0.016) and ISAR- (9.6 ± 11.5, 2.3 ± 4.5, 0.7 ± 2.0, and 2.2%, respectively, all p ≤ 0.002) patients. ISAR+/CGA abnormal patients terminated their treatment regularly with being discharged back home less often (59.6%) compared to ISAR+/CGA normal (78.5%, p = 0.002) and ISAR- (78.2%, p = 0.056) patients. ISAR cutoff≥2 and CGA defined as abnormal in case of impairment of ADL plus another CGA domain achieved best sensitivity/specificity.

conclusionsAbnormal geriatric risk screening and assessment are associated with longer hospital stay and higher amount of nursing and physiotherapy during hospital stay, greater risk of falling, and a lower percentage of successfully terminated treatment in older in-patients.

Indexed as

Health StatusAccidental FallsAgedAged, 80 and overCohort StudiesEmergency Service, HospitalFemaleGeriatric AssessmentHospitalizationHumansInternal MedicineLength of StayMaleMass ScreeningPatient DischargeRisk AssessmentCGACutoffGeriatricsInternal medicineISAROlder in-patientsRisk screeningSensitivitySpecificity

Identifiers

PMID31412787
PMCPMC6694685

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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.