Evidence map›Paper›PMID 39946087›Full record

ReviewIntensive care medicine experimental2025

Quantification of facial cues for acute illness: a systematic scoping review.

Iris C Cramer, Eline G M Cox, Jip W T M de Kok, Jacqueline Koeze, Martje Visser, Hjalmar R Bouma, Ashley De Bie Dekker, Iwan C C van der Horst, R Arthur Bouwman, Bas C T van Bussel

Abstract readReview
In one paragraph

Review in Intensive care medicine experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Facial Expressions as a Nexus for Health Assessment.Bioengineering (Basel, Switzerland) · 2026
    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

10 authors.

Iris C Cramer *Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Eline G M Cox *Department of Intensive Care Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands. eline.cox@mumc.nl.ORCID http://orcid.org/0000-0003-0821-7362
Jip W T M de KokDepartment of Intensive Care Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands.
Jacqueline KoezeDepartment of Critical Care, University Medical Center Groningen, Groningen, The Netherlands.
Martje VisserDepartment of Internal Medicine, University Medical Center Groningen, Groningen, The Netherlands.
Hjalmar R BoumaDepartment of Internal Medicine, University Medical Center Groningen, Groningen, The Netherlands.
Ashley De Bie DekkerDepartment of Intensive Care, Catharina Hospital, Eindhoven, the Netherlands.
Iwan C C van der HorstDepartment of Intensive Care Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands.
R Arthur Bouwman *Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Bas C T van Bussel *Department of Intensive Care Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceThe patient's face provides healthcare professionals with important information about the patient's general appearance and clinical condition.

objectiveThe primary aim of this review is to identify patients' facial cues that healthcare providers can use at the bedside to monitor the clinical condition of acutely ill patients. EVIDENCE REVIEW: Studies about facial cues for acute illness were systematically searched in PubMed, Embase, Cochrane, and Cumulative Index to Nursing & Allied Health (CINAHL) databases. Studies on vital signs, pain, psychiatric illnesses, animal studies, qualitative studies, case reports, and systematic reviews were excluded. Acute illness was defined as any life-threatening condition or condition that required immediate intervention to prevent serious morbidity, permanent disability, or mortality. An overview of all identified facial cues was created.

findingsIn total, 35 different facial cues were identified in 13 studies. A total of 21 were related to facial appearance, with the most frequently reported cues being closed eyes (2 studies), pale lips (2 studies), parted lips (3 studies), droopy mouth (3 studies), and paler skin tone (2 studies). In addition, 14 facial expression features were identified, characterized primarily by more sad, less happy, and less surprised. Most cues have only been described in a single study without external validation, limiting the generalizability of definitions of these cues and their clinical applicability. CONCLUSIONS AND RELEVANCE: This systematic scoping review identified 35 facial cues associated with acute illness in patients in the hospital, highlighting the potential of facial observation to enhance clinical assessments. However, the lack of standardization limits applicability in healthcare. Future research should refine the setting of acute illness, develop diverse datasets, and validate the predictive value of facial cues across various populations.

Indexed as

Clinical gestaltDeterioration detectionFacial appearanceFacial cuesMonitoring

Identifiers

PMID39946087
PMCPMC11825411

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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.