Evidence map›Paper›PMID 31092256›Full record

SynthesisBMC medical informatics and decision making2019

Patient centred variables with univariate associations with unplanned ICU admission: a systematic review.

James Malycha, Timothy Bonnici, David A Clifton, Guy Ludbrook, J Duncan Young, Peter J Watkinson

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC medical informatics and decision making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Intensive care unit admission criteria: a scoping review.Journal of the Intensive Care Society · 2024
    Article
  6. Observational
  7. Article
  8. Article
  9. Risk factors associated with unplanned ICU admissions following paediatric surgery: A systematic review.The Southern African journal of critical care : the official journal of the Critical Care Society · 2022
    Article
  10. Review
  11. Article
  12. 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

6 authors at 4 institutions in 2 countries.

James MalychaKadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, Level 3, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK. james.malycha@ndcn.ox.ac.uk.ORCID 0000-0002-9668-1431
Timothy BonniciDepartment of Critical Care, University College London Hospitals Foundation Trust, Maple Link Bridge, University College Hospital, 235 Euston Road, London, NW1 2BU, UK.
David A CliftonDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Old Road Campus, Roosevelt Drive, Oxford, OX3 7DC, UK.
Guy LudbrookFaculty of Health and Medical Science, University of Adelaide, North Terrace, AHMS Floor 8, Adelaide, 5000, Australia.
J Duncan YoungKadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, Level 3, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK.
Peter J WatkinsonKadoorie Centre for Critical Care Research and Education, Nuffield Department of Clinical Neurosciences, University of Oxford, Level 3, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK.
John Radcliffe Hospital · GBThe University of Adelaide · AUUniversity College Hospital · GBUniversity of Oxford · GB

Funding

Department of HealthWellcome TrustWellcome Trust WT-103703/Z/14/Z
6 · The paper itself

Abstract

backgroundMultiple predictive scores using Electronic Patient Record data have been developed for hospitalised patients at risk of clinical deterioration. Methods used to select patient centred variables for inclusion in these scores varies. We performed a systematic review to describe univariate associations with unplanned Intensive Care Unit (ICU) admission with the aim of assisting model development for future scores that predict clinical deterioration.

methodsData sources were MEDLINE, EMBASE, CINAHL, CENTRAL and the Cochrane Database of Systematic Reviews. Included studies were published since 2000 describing an association between patient centred variables and unplanned ICU admission determined using univariate analysis. Two authors independently screened titles, abstracts and full texts against inclusion and exclusion criteria. DistillerSR (Evidence Partners, Canada, Ottawa, Ontario) software was used to manage the data and identify duplicate search results. All screening and data extraction forms were implemented within DistillerSR. Study quality was assessed using an adapted version of the Newcastle-Ottawa Scale. Variables were analysed for strength of association with unplanned ICU admission.

resultsThe database search yielded 1520 unique studies; 1462 were removed after title and abstract review; 57 underwent full text screening; 16 studies were included. One hundred and eighty nine variables with an evaluated univariate association with unplanned ICU admission were described. DISCUSSION: Being male, increasing age, a history of congestive cardiac failure or diabetes, a diagnosis of hepatic disease or having abnormal vital signs were all strongly associated with ICU admission.

conclusionThese findings will assist variable selection during the development of future models predicting unplanned ICU admission.

trial registrationThis study is a component of a larger body of work registered in the ISRCTN registry ( ISRCTN12518261 ).

Indexed as

Critical CareHospitalizationDatabases, FactualHumansQualitative ResearchRegistriesResearch DesignVital SignsClinical deteriorationCritical careEHREPRICU admissionIntensive carePredictive scoresSystematic reviewVariable selection

Identifiers

PMID31092256
PMCPMC6521409
OpenAlexW2945272360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.