Evidence map›Paper›PMID 41210012›Full record

ArticleCureus2025

Facial Emotion Analysis During Rehabilitation Treatment of a Patient With Acute Generalized Peritonitis and Delirium.

Naoto Seriu, Shogo Sasaki, Yuya Mawarikado, Yusuke Inagaki, Akira Kido

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Observational
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.

Naoto SeriuRehabilitation Medicine, Nara Medical University, Kashihara, JPN.
Shogo SasakiRehabilitation Medicine, Nara Medical University, Kashihara, JPN.
Yuya MawarikadoRehabilitation Medicine, Nara Medical University, Kashihara, JPN.
Yusuke InagakiRehabilitation Medicine, Nara Medical University, Kashihara, JPN.
Akira KidoRehabilitation Medicine, Nara Medical University, Kashihara, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rehabilitation treatment is known to improve not only physical function but also emotional well-being. However, objectively assessing emotions in critically ill patients with impaired consciousness by using conventional subjective measures is difficult. In this study, we focused on a specific method for analyzing emotions from facial expressions and aimed to perform facial emotion analysis in a single patient with delirium. The patient was a man in his 70s with acute generalized peritonitis who developed postoperative delirium. Rehabilitation treatment was initiated on the first day after surgery, and facial emotion analysis was performed before and after rehabilitation treatment on day 14. Five emotional factors (Neutral, Happy, Sad, Angry, and Surprised) were measured, and 38 measurements were taken during 19 sessions. Visual analog scale (VAS) and salivary α-amylase activity (sAA) levels were also measured 22 times in 11 sessions from day 30 until discharge. Throughout the imaging period, the Happy emotion increased significantly after training when compared with the period before training, whereas the Surprised emotion decreased significantly. Furthermore, during the delirium period, happiness showed an increasing trend following training, whereas other emotional factors tended to decline. The VAS score decreased after training, whereas sAA levels did not show a consistent change. These observations suggest that facial emotion analysis may be feasible as an objective adjunct, but its clinical utility and generalizability require confirmation in larger studies.

Indexed as

artificial intelligence (ai)emotion analysisfacial expression analysis systempost operative deliriumpostoperative physiotherapy rehabilitation

Identifiers

PMID41210012
PMCPMC12590191

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.