Evidence map›Paper›PMID 33203516›Full record

SynthesisThe journal of pain2021

II. Indices of Pain Intensity Derived From Ecological Momentary Assessments and Their Relationships With Patient Functioning: An Individual Patient Data Meta-analysis.

Stefan Schneider, Doerte U Junghaenel, Joan E Broderick, Masakatsu Ono, Marcella May, Arthur A Stone

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in The journal of pain, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  10. Multidomain postoperative recovery trajectories after lumbar and thoracolumbar spine surgery.The spine journal : official journal of the North American Spine Society · 2025
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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

6 authors at 1 institution in 1 country.

Stefan SchneiderDornsife Center for Self-Report Science, University of Southern California, California. Electronic address: schneids@usc.edu.
Doerte U JunghaenelDornsife Center for Self-Report Science, University of Southern California, California.
Joan E BroderickDornsife Center for Self-Report Science, University of Southern California, California.
Masakatsu OnoDornsife Center for Self-Report Science, University of Southern California, California.
Marcella MayDornsife Center for Self-Report Science, University of Southern California, California.
Arthur A StoneDornsife Center for Self-Report Science, University of Southern California, California; Deparment of Psychology, University of Southern California, California.
University of Southern California · US

Funding

Innovative pain outcomes derived from patients real-time pain reportsR01AR066200 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHNEIDER, STEFAN, STONE, ARTHUR A · 2015 to 2018
$1.8M
NIAMS NIH HHS R01 AR066200
6 · The paper itself

Abstract

Pain intensity is a complex and dynamic experience. A focus on assessing patients' average pain levels may miss important aspects of pain that impact functioning in daily life. In this second of 3 articles investigating alternative indices of pain intensity derived from Ecological Momentary Assessments (EMA), we examine the indices' associations with physical and psychosocial functioning. EMA data from 10 studies (2,660 patients) were reanalyzed to construct indices of Average Pain, Maximum Pain, Minimum Pain, Pain Variability, Time in High Pain, Time in Low Pain, Pain after Wake-up. Three sets of individual patient data meta-analyses examined 1) the test-retest reliability of the pain indices, 2) their convergent validity in relation to physical functioning, fatigue, depression, mental health, and social functioning, and 3) the incremental validity of alternative indices above Average Pain. Reliabilities approaching or exceeding a level of .7 were observed for all indices, and most correlated significantly with all functioning domains, with small to medium effect sizes. Controlling for Average Pain, Maximum Pain and Pain Variability uniquely predicted all functioning measures, and Time in High Pain predicted physical and social functioning. We suggest that alternative pain indices can provide new perspectives for understanding functioning in chronic pain. PERSPECTIVE: Alternative summary measures of pain intensity derived from EMA have the potential to help better understand patients' pain experience. Utilizing EMA for the assessment of Maximum Pain, Pain Variability, and Time in High Pain may provide an enhanced window into the relationships between pain and patients' physical and psychosocial functioning.

Indexed as

Ecological Momentary AssessmentFunctional StatusPain MeasurementSeverity of Illness IndexAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedPainReproducibility of ResultsSystematic Reviews as Topicecological momentary assessmentindividual patient data meta-analysisintensive longitudinal datapain indicesPain intensity

Identifiers

PMID33203516
PMCPMC8043976
OpenAlexW3094257648

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.