Evidence map›Paper›PMID 30202497›Full record

ArticleThe western journal of emergency medicine2018

A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge.

Gelareh Z Gabayan, Michael K Gould, Robert E Weiss, Vicki Y Chiu, Catherine A Sarkisian

Abstract readMulticenter Study
In one paragraph

Article in The western journal of emergency medicine, 2018. 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

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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Scoping Review of Emergency Department Discharge Risk Stratification.The western journal of emergency medicine · 2021
    Article
  6. Observational
  7. Article
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

5 authors.

Gelareh Z GabayanUniversity of California, Los Angeles, Department of Emergency Medicine, Los Angeles, California.
Michael K GouldKaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, California.
Robert E WeissUniversity of California, Los Angeles, Fielding School of Public Health, Department of Biostatistics, Los Angeles, California.
Vicki Y ChiuKaiser Permanente Southern California, Department of Research and Evaluation, Pasadena, California.
Catherine A SarkisianUniversity of California, Los Angeles, Department of Medicine, Los Angeles, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe emergency department (ED) is an inherently high-risk setting. Risk scores can help practitioners understand the risk of ED patients for developing poor outcomes after discharge. Our objective was to develop two risk scores that predict either general inpatient admission or death/intensive care unit (ICU) admission within seven days of ED discharge.

methodsWe conducted a retrospective cohort study of patients age > 65 years using clinical data from a regional, integrated health system for years 2009-2010 to create risk scores to predict two outcomes, a general inpatient admission or death/ICU admission. We used logistic regression to predict the two outcomes based on age, body mass index, vital signs, Charlson comorbidity index (CCI), ED length of stay (LOS), and prior inpatient admission.

resultsOf 104,025 ED visit discharges, 4,638 (4.5%) experienced a general inpatient admission and 531 (0.5%) death or ICU admission within seven days of discharge. Risk factors with the greatest point value for either outcome were high CCI score and a prolonged ED LOS. The C-statistic was 0.68 and 0.76 for the two models.

conclusionRisk scores were successfully created for both outcomes from an integrated health system, inpatient admission or death/ICU admission. Patients who accrued the highest number of points and greatest risk present to the ED with a high number of comorbidities and require prolonged ED evaluations.

Indexed as

Emergency Service, HospitalPatient TransferAgedAged, 80 and overFemaleHospital MortalityHumansInpatientsIntensive Care UnitsMaleOutcome Assessment, Health CareRetrospective StudiesRisk Factors

Identifiers

PMID30202497
PMCPMC6123082

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.