Evidence map›Paper›PMID 28229353›Full record

ArticleJournal of clinical monitoring and computing2018

Cardiorespiratory instability in monitored step-down unit patients: using cluster analysis to identify patterns of change.

Eliezer L Bose, Gilles Clermont, Lujie Chen, Artur W Dubrawski, Dianxu Ren, Leslie A Hoffman, Michael R Pinsky, Marilyn Hravnak

Abstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

8 authors at 3 institutions in 1 country.

Eliezer L BoseThe University of Texas at Austin, 1710 Red River St., Austin, TX, 78701, USA. ebose@nursing.utexas.edu.
Gilles ClermontDepartment of Critical Care Medicine, University of Pittsburgh Schools of Medicine, Pittsburgh, USA.
Lujie ChenAuton Lab, Carnegie Mellon University Robotics Institute, Pittsburgh, USA.
Artur W DubrawskiAuton Lab, Carnegie Mellon University Robotics Institute, Pittsburgh, USA.
Dianxu RenDepartment of Acute and Tertiary Care, University of Pittsburgh Schools of Nursing, Pittsburgh, USA.
Leslie A HoffmanDepartment of Acute and Tertiary Care, University of Pittsburgh Schools of Nursing, Pittsburgh, USA.
Michael R PinskyDepartment of Critical Care Medicine, University of Pittsburgh Schools of Medicine, Pittsburgh, USA.
Marilyn HravnakDepartment of Acute and Tertiary Care, University of Pittsburgh Schools of Nursing, Pittsburgh, USA.
University of Pittsburgh · USCarnegie Mellon University · USThe University of Texas at Austin · US

Funding

Predicting Patient Instability Noninvasively for Nursing Care-Two (PPINNC-2)R01NR013912 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AL-ZAITI, SALAH S, CLERMONT, GILLES · 2012 to 2025
$7.0M
National Institute of Nursing Research R01NR13912National Science Foundation 1320347NINR NIH HHS R01 NR013912
6 · The paper itself

Abstract

Cardiorespiratory instability (CRI) in monitored step-down unit (SDU) patients has a variety of etiologies, and likely manifests in patterns of vital signs (VS) changes. We explored use of clustering techniques to identify patterns in the initial CRI epoch (CRI

Indexed as

Signal Processing, Computer-AssistedVital SignsAdultAgedCluster AnalysisCohort StudiesComorbidityCritical CareFemaleHeart RateHospitalizationHumansMaleMiddle AgedMonitoring, PhysiologicOximetryCardiorespiratory instabilityCluster analysisNon-invasive monitoring

Identifiers

PMID28229353
PMCPMC5957274
OpenAlexW2591083394

What OpenQuestion holds

Textmetadata
LicenceTDM
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.