ArticleJournal of pain research2020
A Step Towards a Better Understanding of Pain Phenotypes: Latent Class Analysis in Chronic Pain Patients Receiving Multimodal Inpatient Treatment.
Article in Journal of pain research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed.
- Identifying classes with different disability profiles amongst patients with persistent neck pain.Journal of rehabilitation medicine · 2026Article
- Achieving Targeted Combined Endpoints in Patients With Atopic Dermatitis: A Real-World Study.The Journal of dermatology · 2026Article
- Large language models for automated and audience-tailored labeling of latent classes.JAMIA open · 2026Article
- A Latent Profile Analysis of Psychological, Personality, and Religious Characteristics in Iranian Adults With Chronic Pain.Pain research & management · 2026Article
- Biobehavioral phenotypes of chronic low back pain: Psychosocial subgroup identification using latent profile analysis.Pain medicine (Malden, Mass.) · 2026Article
- Baseline predictors of responders to auricular point acupressure in chronic low back pain.Clinical traditional medicine and pharmacology · 2025Article
- Pain Phenotypes in Endometriosis: A Population-Based Study Using Latent Class Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025Article
- Pain Phenotyping Indicators in Older Adults with Chronic Low Back Pain: A Secondary Analysis of a Randomized Controlled Trial.Journal of pain research · 2025Article
- Identifying Latent Profiles of Healthy Adults' Biopsychosocial Pain Concepts.Pain research & management · 2025Article
- Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework.Scientific reports · 2024Article
- Identifying latent subgroups in the older population seeking primary health care for a new episode of back pain - findings from the BACE-N cohort.BMC musculoskeletal disorders · 2024Observational
- Perspectives of people with spinal cord injury on a pain education resource.Frontiers in public health · 2024Article
- Systems Medicine Approach for Tinnitus with Comorbid Disorders.Nutrients · 2022Article
- Time to evolve: the applicability of pain phenotyping in manual therapy.The Journal of manual & manipulative therapy · 2022Article
- Article
- Article
- Psychopathological and Personality Pro file in Chronic Nononcologic Nociceptive and Neuropathic pain: Cross-sectional Comparative Study.International journal of psychological researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe number of non-responders to treatment among patients with chronic pain (CP) is high, although intensive multimodal treatment is broadly accessible. One reason is the large variability in manifestations of CP. To facilitate the development of tailored treatment approaches, phenotypes of CP must be identified. In this study, we aim to identify subgroups in patients with CP based on several aspects of self-reported health. PATIENTS AND
methodsA latent class analysis (LCA) was carried out in retrospective data from 411 patients with CP of different origins. All patients experienced severe physical and psychosocial consequences and were therefore undergoing multimodal inpatient pain treatment. Self-reported measures of pain (visual analogue scales for pain intensity, frequency, and impairment; Pain Perception Scale), emotional distress (Patient Health Questionnaire, PHQ-9; Generalized Anxiety Disorder Scale, GAD-7) and physical health (Short Form Health Survey; SF-8) were collected immediately after admission and before discharge. Instruments assessed at admission were used as input to the LCA. Resulting classes were compared in terms of patient characteristics and treatment outcome.
resultsA model with four latent classes demonstrated the best model fit and interpretability. Classes 1 to 4 included patients with high (54.7%), extreme (17.0%), moderate (15.6%), and low (12.7%) pain burden, respectively. Patients in class 4 showed high levels of emotional distress, whereas emotional distress in the other classes corresponded to the levels of pain burden. While pain as well as physical and mental health improved in class 1, only the levels of depression and anxiety improved in patients in the other groups during multimodal treatment.
conclusionThe specific needs of these subgroups should be taken into account when developing individualized treatment programs. However, the retrospective design limits the significance of the results and replication in prospective studies is desirable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.