Evidence map›Paper›PMID 26024645›Full record

ReviewSchmerz (Berlin, Germany)2015

[Psychological assessment and psychotherapy for chronic pain in the elderly].

P Mattenklodt, C Leonhardt

Abstract readReview
PubMed Publisher
In one paragraph

Review in Schmerz (Berlin, Germany), 2015. 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
0.6field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. [Interdisciplinary pain therapy in the elderly].Schmerz (Berlin, Germany) · 2024
    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

2 authors at 1 institution in 1 country.

P MattenklodtSchmerzzentrum, Universitätsklinikum Erlangen, Krankenhausstr. 12, 91054, Erlangen, Deutschland, peter.mattenklodt@uk-erlangen.de.
C Leonhardt
Universitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic reviews of psychosocial assessment and effectiveness of psychotherapy for chronic pain syndromes in older patients are rare. However, it is of particular importance to consider the psychosocial aspects of elderly people with chronic pain. This narrative review describes recommended German-language assessments of the psychosocial dimensions of pain and summarizes existing studies of psychological therapy approaches for chronic pain in old age. Effective psychometric instruments are available for the assessment of cognitive function, pain-specific attitudes, depression, fear of falling, interpersonal processes and social activities, pain management, pain acceptance, disability, psychological well-being, and quality of life. Further experience with the use of these instruments with cognitively impaired or geriatric patients is required. The efficacy of age-adapted cognitive behavioral therapy and multimodal therapy for older patients has been documented. However, there is often a lack of supporting documentation about important result parameters (e.g., quality of life, functioning in everyday life, or pain acceptance). Overall, chronic pain in elderly people requires a biopsychosocial-spiritual model of pain. More attention should be given in research and daily practice to religiosity/spirituality as a possible means of coping, while mindfulness- and acceptance-based therapies should be further explored.

Indexed as

PsychotherapyActivities of Daily LivingAgedChronic PainCognitive Behavioral TherapyCombined Modality TherapyHumansPain ManagementPersonality AssessmentPsychometricsQuality of LifeRelaxation TherapySpiritualityTreatment Outcome

Identifiers

PMID26024645
OpenAlexW903999586

What OpenQuestion holds

Textmetadata
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.