Evidence map›Paper›PMID 17318499›Full record

SynthesisIntensive care medicine2007

Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward.

Haiyan Gao, Ann McDonnell, David A Harrison, Tracey Moore, Sheila Adam, Kathleen Daly, Lisa Esmonde, David R Goldhill, Gareth J Parry, Arash Rashidian and 2 more

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Intensive care medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 10 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

110 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  18. Delta MEWS combined with SpOFrontiers in medicine · 2026
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50 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

12 authors.

Haiyan GaoIntensive Care National Audit & Research Centre, Tavistock House, Tavistock Square, London, WC1H 9HR, UK.
Ann McDonnell
David A Harrison
Tracey Moore
Sheila Adam
Kathleen Daly
Lisa Esmonde
David R Goldhill
Gareth J Parry
Arash Rashidian
Christian P Subbe
Sheila Harvey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePhysiological track and trigger warning systems (TTs) are used to identify patients outside critical care areas at risk of deterioration and to alert a senior clinician, Critical Care Outreach Service, or equivalent. The aims of this work were: to describe published TTs and the extent to which each has been developed according to established procedures; to review the published evidence and available data on the reliability, validity and utility of existing systems; and to identify the best TT for timely recognition of critically ill patients. DESIGN AND

settingSystematic review of studies identified from electronic, citation and hand searching, and expert informants. Cohort study of data from 31 acute hospitals in England and Wales. MEASUREMENTS AND

resultsThirty-six papers were identified describing 25 distinct TTs. Thirty-one papers described the use of a TT, and five were studies examining the development or testing of TTs. None of the studies met all methodological quality standards. For the cohort study, outcome was measured by a composite of death, admission to critical care, 'do not attempt resuscitation' or cardiopulmonary resuscitation. Fifteen datasets met pre-defined quality criteria. Sensitivities and positive predictive values were low, with median (quartiles) of 43.3 (25.4-69.2) and 36.7 (29.3-43.8), respectively.

conclusionA wide variety of TTs were in use, with little evidence of reliability, validity and utility. Sensitivity was poor, which might be due in part to the nature of the physiology monitored or to the choice of trigger threshold. Available data were insufficient to identify the best TT.

Indexed as

APACHEHospital MortalityCritical CareDatabases, FactualEmergency Medical ServicesHumansIntensive Care Units

Identifiers

What OpenQuestion holds

Textmetadata
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.