Evidence map›Paper›PMID 32521195›Full record

SynthesisJournal of the Royal Society of Medicine2020

Clinical impact of multi-parameter continuous non-invasive monitoring in hospital wards: a systematic review and meta-analysis.

Lin Sun, Meera Joshi, Sadia N Khan, Hutan Ashrafian, Ara Darzi

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the Royal Society of Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Impact of postoperative in-hospital continuous vital sign monitoring on healthcare costs, resource utilization and labor market outcomes.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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  5. Observational
  6. Review
  7. Article
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  11. Ability to identify patient-ventilator asynchronies in intensive care unit professionals: A multicenter cross-sectional analytical study.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Observational
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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

5 authors.

Lin SunDepartment of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-9178-4669
Meera JoshiDepartment of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK.
Sadia N KhanWest Middlesex University Hospital, Isleworth TW7 6AF, UK.
Hutan AshrafianDepartment of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0003-1668-0672
Ara DarziDepartment of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDelayed response to clinical deterioration as a result of intermittent vital sign monitoring is a cause of preventable morbidity and mortality. This review focuses on the clinical impact of multi-parameter continuous non-invasive monitoring of vital signs (CoNiM) in non-intensive care unit patients.

designSystematic review and meta-analysis of primary studies. Embase, MEDLINE, HMIC, PsycINFO and Cochrane were searched from April 1964 to 18 June 2019 with no language restriction.

settingThe search was limited to hospitalised, non-intensive care unit adult patients who had two or more vital signs continuously monitored.

participantsAll primary studies that evaluated the clinical impact of using multi-parameter CoNiM in adult hospital wards outside of the intensive care unit.

main outcome measuresClinical impact of multi-parameter CoNiM.

resultsThis systematic review identified 14 relevant studies from 3846 search results. Five studies were classified as Group A - associations found between measured vital signs and clinical parameters. Nine studies were classified as Group B - comparison between clinical outcomes of patients with and without multi-parameter CoNiM. Vital signs data from CoNiM were found to associate with type of presenting complaint, level of renal function and incidence of major clinical events. CoNiM also assisted in diagnosis by differentiating between patients with acute heart failure, stroke and sepsis (with sub-clustering of septic patients). In the meta-analysis, patients on multi-parameter CoNiM had a 39% decrease in risk of mortality (risk ratio [RR] 0.61; 95% confidence interval [95% CI] -0.39-0.95) when compared to patients with regular intermittent monitoring. There was a trend of reduced intensive care unit transfer (RR 0.86; 95% CI -0.67-1.11) and reduced rapid response team activation (RR 0.61; 95% CI 0.26-1.43). A trend towards reduced hospital length of stay was also found using weighted mean difference (WMD -3.32 days; 95% CI -8.82-2.19 days).

conclusionThere is evidence of clinical benefit in implementing CoNiM in non-intensive care unit patients. This review supports the use of multi-parameter CoNiM outside of intensive care unit with further large-scale RCTs required to further affirm clinical impact.

Indexed as

Disease ProgressionHospital DepartmentsFemaleHospitalizationHospital MortalityHumansInpatientsLength of StayMaleMonitoring, PhysiologicOutcome Assessment, Health CareQuality ImprovementTime Factorsclinical decision makingclinical outcomecontinuous monitoringVital signs

Identifiers

PMID32521195
PMCPMC7439595

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.