Evidence map›Paper›PMID 18784487›Full record

ReviewCurrent opinion in anaesthesiology2008

Progress in pain assessment: the cognitively compromised patient.

C Richard Chapman

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in anaesthesiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Facial Expressions as a Nexus for Health Assessment.Bioengineering (Basel, Switzerland) · 2026
    Review
  3. Review
  4. Article
  5. Pain management in patients with dementia.Clinical interventions in aging · 2013
    Review
  6. Article
  7. Article
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

1 author at 1 institution in 1 country.

C Richard ChapmanDepartment of Anesthesiology, School of Medicine, University of Utah, Salt Lake City, Utah 84108, USA. crc20@utah.edu
University of Utah · US

Funding

Improving Measurement of Acute PainR01NR009542 · NINR · UNIVERSITY OF UTAH · PI CHAPMAN, C RICHARD · 2005 to 2009
$2.2M
NINR NIH HHS NR009542NINR NIH HHS R01 NR009542
6 · The paper itself

Abstract

purpose of reviewPain assessment is essential for patient care in many settings, but it proves difficult when the patient is cognitively compromised or otherwise unable to produce a conventional pain report. The present review describes the progress in pain assessment technology that involves the coding of human facial expression. RECENT

findingsIt is possible to quantify facial expression by coding patterns of facial muscle contraction and relaxation. These patterns are action units, and they can gauge the intensity of pain as well as signal its occurrence. The experience of pain seems to generate a unique facial expression comprising several action units. Concerns have existed about whether demented patients produce diagnostically meaningful facial expressions of pain because they tend to generate more nonspecific facial expressions and perhaps code pain intensity less well than normals. Recent work shows that facial expression reflects pain as well or better in demented patients compared with normals. SUMMARY: Although still nascent, coded facial expression appears to work reliably as a pain assessment tool with cognitively compromised patients. Clinical application awaits the development of technology that can automate facial coding and scoring.

Indexed as

Cognition DisordersFacial ExpressionPain MeasurementAgedData CollectionHumansPainUnited States

Identifiers

PMID18784487
PMCPMC2692868
OpenAlexW1986863545

What OpenQuestion holds

Textmetadata
LicenceTDM
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.