Evidence map›Paper›PMID 41362928›Full record

ReviewAnaesthesiology intensive therapy2025

Objective monitoring of acute pain and nociception in anaesthesia and intensive care: evidence and applications.

Justyna Karolina Danel, Jowita Rosada-Kurasinska, Maja Magdalena Copik, Szymon Zdanowski, Wojciech Gola, Hanna Misiołek, Alicja Bartkowska-Śniatkowska, Szymon Białka

Abstract readReview
In one paragraph

Review in Anaesthesiology intensive therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. 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.

Justyna Karolina DanelDepartment of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Zabrze, Poland.
Jowita Rosada-KurasinskaDepartment of Paediatric Anaesthesiology and Intensive Therapy, Poznan University of Medical Sciences, Poznan, Poland.
Maja Magdalena CopikDepartment of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Zabrze, Poland.
Szymon ZdanowskiDepartment of Anaesthesiology and Intensive Therapy, Medical University of Gdansk, Gdansk, Poland.
Wojciech GolaCollegium Medicum, Jan Kochanowski University, Kielce, Poland.
Hanna MisiołekDepartment of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Zabrze, Poland.
Alicja Bartkowska-ŚniatkowskaDepartment of Paediatric Anaesthesiology and Intensive Therapy, Poznan University of Medical Sciences, Poznan, Poland.
Szymon BiałkaDepartment of Anaesthesiology and Intensive Care, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Zabrze, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing pain in non-communicative patients remains challenging in anaesthesia and intensive care. When self-report is unavailable, clinicians infer nociception from behaviour and physiology. Behavioural scales such as the Behavioral Pain Scale and the Critical-Care Pain Observation Tool are simple and reproducible, supporting consistent practice; however, performance declines with deep sedation, neuromuscular blockade, or severe neurological injury. Where behavioural cues are absent or unreliable, physiological and neurophysiological signals provide partial information. Autonomic indicators, including heart rate variability, the Surgical Pleth Index, pupillometry, and skin conductance, capture sympathetic responses to noxious stimuli rather than perceived pain and are sensitive to drugs, haemodynamic instability, shivering, and agitation. Electroencephalography and functional near-infrared spectroscopy identify cortical responses to nociceptive input, yet clinically useful thresholds remain context dependent, and most applications are research-based. Emerging machine-learning systems that integrate behaviour and physiology show promise, but models validated in the operating room are not automatically applicable in the intensive care unit and require new external validation with potential recalibration. Evidence is generally stronger intraoperatively than in intensive care, and paediatric data are limited. No instrument directly measures subjective pain when self-report is absent. Available tools index nociception through behavioural and physiological correlates and must be interpreted within the clinical context.

Indexed as

Acute PainAnesthesiaCritical CareNociceptionPain MeasurementHumansanalgesiaartificial intelligencecritical careelectroencephalographyintensive care unitsmachine learningmonitoringpain managementpain measurementphysio­logical

Identifiers

PMID41362928
PMCPMC12793994

What OpenQuestion holds

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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.