Evidence map›Paper›PMID 28875436›Full record

ArticleInternational journal of behavioral medicine2018

Predictors of Daily Pain Medication Use in Individuals with Recurrent Back Pain.

John A Sturgeon, Jennifer M Hah, Yasamin Sharifzadeh, Stephanie K Middleton, Thomas Rico, Kevin A Johnson, Sean C Mackey

Abstract read
In one paragraph

Article in International journal of behavioral medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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, 12 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

John A SturgeonDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, Stanford University School of Medicine, Stanford Systems Neuroscience and Pain Laboratory, 1070 Arastradero, Suite 200, MC 5596, Palo Alto, CA, USA. jasturge@stanford.edu.ORCID http://orcid.org/0000-0001-6388-0920
Jennifer M HahDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, Stanford University School of Medicine, Stanford Systems Neuroscience and Pain Laboratory, 1070 Arastradero, Suite 200, MC 5596, Palo Alto, CA, USA.
Yasamin SharifzadehDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, Stanford University School of Medicine, Stanford Systems Neuroscience and Pain Laboratory, 1070 Arastradero, Suite 200, MC 5596, Palo Alto, CA, USA.
Stephanie K MiddletonDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, Stanford University School of Medicine, Stanford Systems Neuroscience and Pain Laboratory, 1070 Arastradero, Suite 200, MC 5596, Palo Alto, CA, USA.
Thomas RicoDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, Stanford University School of Medicine, Stanford Systems Neuroscience and Pain Laboratory, 1070 Arastradero, Suite 200, MC 5596, Palo Alto, CA, USA.
Kevin A JohnsonDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, Stanford University School of Medicine, Stanford Systems Neuroscience and Pain Laboratory, 1070 Arastradero, Suite 200, MC 5596, Palo Alto, CA, USA.
Sean C MackeyDepartment of Anesthesiology, Perioperative and Pain Medicine, Division of Pain Medicine, Stanford University School of Medicine, Stanford Systems Neuroscience and Pain Laboratory, 1070 Arastradero, Suite 200, MC 5596, Palo Alto, CA, USA.
Stanford Medicine · US

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Neuroimaging and Mentoring in Translational Pain ResearchK24DA029262 · NIDA · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2010 to 2019
$1.9M
Psychological Factors Contributing to Persistent Opioid Use After SurgeryK23DA035302 · NIDA · STANFORD UNIVERSITY · PI HAH, JENNIFER · 2013 to 2017
$903k
Research Training Using TMS to Study Pain Processing in Long-Term Opioid UseK23DA031808 · NIDA · STANFORD UNIVERSITY · PI JOHNSON, KEVIN ANDREW · 2011 to 2015
$764k
NIDA NIH HHS K23 DA031808NIDA NIH HHS K23 DA035302NIDA NIH HHS K24 DA029262NIDA NIH HHS T32 DA035165NIDA NIH HHS T32 DA035165-02S1
6 · The paper itself

Abstract

purposeA key component to chronic pain management regimens is the use of analgesic medications. Psychological factors, such as mood states, may also affect the use of pain medications for individuals with chronic pain, but few observational studies have examined how these factors may predict pain medication use at the daily level.

methodsDaily assessments from 104 individuals with back pain were used to examine fluctuations in daily pain intensity, mood, sleep quality, and physical activity as predictors of the likelihood of pain medication (opioid and non-opioid) use and levels of medication use on the same day.

resultsPain intensity and mood ratings significantly predicted whether participants used pain medication on the same day, while only pain intensity predicted whether participants used more medication than usual. Further, current opioid users were more likely to increase the amount of their medication use on days of higher pain. DISCUSSION: This article identifies fluctuations in daily pain intensity and mood as salient predictors of daily pain medication use in individuals with recurrent back pain. The current study is among the first to highlight both pain and mood states as predictors of daily pain medication use in individuals with back pain, though future studies may expand on these findings through the use of higher-resolution daily medication use variables.

Indexed as

AdultAffectAgedAnalgesicsAnalgesics, OpioidBack PainChronic PainFemaleHumansMaleMiddle AgedPain MeasurementYoung AdultAnalgesicsAnalgesics, OpioidDaily diariesMedication useMoodOpioid medicationsPain intensity

Identifiers

PMID28875436
PMCPMC5837935
OpenAlexW2750737170

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.