Evidence map›Paper›PMID 42740020›Full record

ArticleSensors (Basel, Switzerland)2026

Prognostic Value of Traditional and Optimised Vital Sign Thresholds for Risk of Serious Adverse Events in Continuously Monitored Hospitalised Patients.

Nikolaj Aagaard, Markus Harboe Olsen, Jesper Mølgaard, Katja Kjær Grønbæk, Mikkel Elvekjær, Eske K Aasvang, Christian S Meyhoff

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Nikolaj AagaardDepartment of Anaesthesia and Intensive Care, Copenhagen University Hospital-Bispebjerg and Frederiksberg, 2400 Copenhagen, Denmark.ORCID 0000-0001-9565-5947
Markus Harboe OlsenDepartment of Anaesthesia and Intensive Care, Copenhagen University Hospital-Bispebjerg and Frederiksberg, 2400 Copenhagen, Denmark.ORCID 0000-0003-0981-0723
Jesper MølgaardDepartment of Anaesthesia, Centre for Cancer and Organ Diseases, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark.ORCID 0000-0003-2062-9570
Katja Kjær GrønbækDepartment of Anaesthesia and Intensive Care, Copenhagen University Hospital-Bispebjerg and Frederiksberg, 2400 Copenhagen, Denmark.ORCID 0000-0003-3045-6909
Mikkel ElvekjærDepartment of Anaesthesia and Intensive Care, Copenhagen University Hospital-Bispebjerg and Frederiksberg, 2400 Copenhagen, Denmark.
Eske K AasvangDepartment of Anaesthesia, Centre for Cancer and Organ Diseases, Copenhagen University Hospital-Rigshospitalet, 2100 Copenhagen, Denmark.ORCID 0000-0002-7131-2461
Christian S MeyhoffDepartment of Anaesthesia and Intensive Care, Copenhagen University Hospital-Bispebjerg and Frederiksberg, 2400 Copenhagen, Denmark.ORCID 0000-0002-4885-4609

Funding

Danish Cancer Society R150-A9865-16-S48Innovation Fund Denmark 8056-00055B
6 · The paper itself

Abstract

Technological advances enable continuous vital sign monitoring with wireless biosensors in general wards. However, traditional thresholds used in routine monitoring do not effectively identify serious adverse events (SAEs). This study aimed to assess the prognostic ability of combinations of threshold severity and duration in continuous vital sign monitoring for SAEs in acute medical and surgical patients. Data on heart rate (HR), respiratory rate (RR), and peripheral oxygen saturation (SpO

Indexed as

Vital SignsAgedFemaleHeart RateHospitalizationHumansMaleMiddle AgedMonitoring, PhysiologicOxygen SaturationPrognosisRespiratory RateROC Curveacute complicationscontinuous vital sign monitoringmedical patientsserious adverse eventssurgical patientswireless biosensors

Identifiers

PMID42740020
PMCPMC13567922

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.