Evidence map›Paper›PMID 39584468›Full record

ArticleLupus2025

The problem of pain in systemic lupus erythematosus: A comprehensive analysis of pain distribution using the CHOIR body map and PROMIS measures.

Tiffany En Jiang, Sean Mackey, Beth D Darnall, Julia F Simard, Titilola Falasinnu

Abstract read
In one paragraph

Article in Lupus, 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. Review
  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.

Tiffany En JiangYale University School of Medicine, New Haven, CT, USA.
Sean MackeyDivision of Pain Medicine, Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Beth D DarnallDivision of Pain Medicine, Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Julia F SimardDivision of Immunology and Rheumatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Titilola FalasinnuDivision of Pain Medicine, Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-9580-4743

Funding

Prognostic biomarkers for high-impact chronic pain: Development and validationR61NS118651 · NINDS · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2020 to 2020
$7.3M
Can hydroxychloroquine prevent preeclampsia and preterm delivery in lupus pregnancy?R01AR077103 · NIAMS · STANFORD UNIVERSITY · PI SIMARD, JULIA F · 2020 to 2024
$2.4M
Implicit Bias in the Evidence: An Evaluation of Female-Predominant DiseaseR01AI154533 · NIAID · STANFORD UNIVERSITY · PI SIMARD, JULIA F · 2020 to 2023
$2.1M
Research and Mentoring in Innovative Patient Oriented Pain and Opioid ScienceK24DA053564 · NIDA · STANFORD UNIVERSITY · PI Beth Denise Darnall · 2021 to 2026
$1.0M
Characterization of Chronic Pain and its Biopsychosocial Mechanisms in Lupus using Electronic Health RecordsK01AR079039 · NIAMS · STANFORD UNIVERSITY · PI FALASINNU, TITILOLA · 2021 to 2025
$631k
Mentoring in Discovery and Validation of Clinical Chronic Pain BiomarkersK24NS126781 · NINDS · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2021 to 2021
$324k
NIAID NIH HHS R01 AI154533NIAMS NIH HHS K01 AR079039NIAMS NIH HHS R01 AR077103NIDA NIH HHS K24 DA053564NINDS NIH HHS K24 NS126781NINDS NIH HHS R61 NS118651
6 · The paper itself

Abstract

backgroundOur study investigates the associations between pain distribution, biopsychosocial factors, and Patient-Reported Outcomes Measurement Information System (PROMIS) measures in patients with systemic lupus erythematosus (SLE). Employing self-reported pain body maps, we aim to characterize the distribution of pain and its impact on biopsychosocial measures.

methodsWe retrospectively analyzed the electronic health records (EHR) of 332 adult patients with SLE attending pain clinics at an academic medical center. The study included demographics, pain distribution assessed via self-reported body maps, and PROMIS assessments of biopsychosocial experiences. We used linear regression models adjusted for age and sex to investigate associations between pain distribution and PROMIS outcomes.

resultsMen, on average, indicated pain in 3.2 regions, whereas women reported pain in 5.6 regions. Women predominantly highlighted the hip, buttock, and leg region, whereas men primarily emphasized the shoulder and arm region. We found a positive correlation between pain widespreadness and worse PROMIS measures, including pain interference, behavior, fatigue, depression, anxiety, sleep disturbance, and social isolation. Additionally, widespread pain was associated with lower physical function, emotional support, and satisfaction in roles and activities. Female patients reported higher levels of pain and PROMIS measures compared to males.

conclusionOur findings highlight the multidimensional impact of pain on SLE patients' lives underscoring the need for holistic pain management approaches. The intricate associations between pain distribution and biopsychosocial factors emphasize the importance of considering spatial dimensions of pain in clinical interventions. Further research is warranted to explore effective interventions addressing psychosocial aspects of pain in SLE, aiming to enhance patient symptom management and quality of life.

Indexed as

Lupus Erythematosus, SystemicPain MeasurementPatient Reported Outcome MeasuresAdultElectronic Health RecordsFemaleHumansMaleMiddle AgedPainQuality of LifeRetrospective StudiesSelf Reporterythematosusmusculoskeletalsubacute lupusSystemic lupus erythematosus

Identifiers

PMID39584468
PMCPMC11663094

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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.