Evidence map›Paper›PMID 30645637›Full record

SynthesisPloS one2019

The value of vital sign trends in predicting and monitoring clinical deterioration: A systematic review.

Idar Johan Brekke, Lars Håland Puntervoll, Peter Bank Pedersen, John Kellett, Mikkel Brabrand

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04674098 (The Effect of Real Time Analytics on Adverse Events Among Hospitalized Patients), which is not on this map. Cited by 116 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
116citing papers in PubMed, 5 pooled it
18.7field-weighted citation impact, top 1% 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.

NCT04674098 withdrawnnot on this mapstarted 2021, after this paper: background citation

The Effect of Real Time Analytics on Adverse Events Among Hospitalized Patients

TypeobservationalSponsorBob ToppRan2021 to 2022Enrolled0ConditionsHospital Acquired ConditionArmsThe Beat Analytics System (BAS)
3 · Its place in the literature

Who cites it

116 citing papers in PubMed, 5 syntheses or guidelines pooled it, 306 citations in OpenAlex.

  1. Pooled it
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  4. A review of the literature on the accuracy, strengths, and limitations of visual, thoracic impedance, and electrocardiographic methods used to measure respiratory rate in hospitalized patients.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2021
    Pooled it
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56 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Idar Johan BrekkeDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-1022-2227
Lars Håland PuntervollDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.
Peter Bank PedersenDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-2831-674X
John KellettDepartment of Emergency Medicine, Hospital of South West Jutland, Esbjerg, Denmark.
Mikkel BrabrandDepartment of Emergency Medicine, Odense University Hospital, Odense, Denmark.
University of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVital signs, i.e. respiratory rate, oxygen saturation, pulse, blood pressure and temperature, are regarded as an essential part of monitoring hospitalized patients. Changes in vital signs prior to clinical deterioration are well documented and early detection of preventable outcomes is key to timely intervention. Despite their role in clinical practice, how to best monitor and interpret them is still unclear.

objectiveTo evaluate the ability of vital sign trends to predict clinical deterioration in patients hospitalized with acute illness. DATA SOURCES: PubMed, Embase, Cochrane Library and CINAHL were searched in December 2017. STUDY SELECTION: Studies examining intermittently monitored vital sign trends in acutely ill adult patients on hospital wards and in emergency departments. Outcomes representing clinical deterioration were of interest. DATA EXTRACTION: Performed separately by two authors using a preformed extraction sheet.

resultsOf 7,366 references screened, only two were eligible for inclusion. Both were retrospective cohort studies without controls. One examined the accuracy of different vital sign trend models using discrete-time survival analysis in 269,999 admissions. One included 44,531 medical admissions examining trend in Vitalpac Early Warning Score weighted vital signs. They stated that vital sign trends increased detection of clinical deterioration. Critical appraisal was performed using evaluation tools. The studies had moderate risk of bias, and a low certainty of evidence. Additionally, four studies examining trends in early warning scores, otherwise eligible for inclusion, were evaluated.

conclusionsThis review illustrates a lack of research in intermittently monitored vital sign trends. The included studies, although heterogeneous and imprecise, indicates an added value of trend analysis. This highlights the need for well-controlled trials to thoroughly assess the research question.

Indexed as

Clinical DeteriorationVital SignsBiasEarly DiagnosisFemaleHospitalizationHumansMaleModels, StatisticalMonitoring, PhysiologicPrognosis

Identifiers

PMID30645637
PMCPMC6333367
OpenAlexW2909576544

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.