Evidence map›Paper›PMID 37907114›Full record

ArticleThe journal of pain2024

Baseline Characteristics From a New Longitudinal Cohort of Patients With Noncancer Pain and Chronic Opioid Use in the United States.

Scott Secrest, Lisa R Miller-Matero, Timothy Chrusciel, Joanne Salas, Mark D Sullivan, Celeste Zabel, Patrick Lustman, Brian Ahmedani, Ryan W Carpenter, Jeffrey F Scherrer

Open access · bronzeAbstract read
In one paragraph

Article in The journal of pain, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 8 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

10 authors at 5 institutions in 1 country.

Scott SecrestDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, Missouri.
Lisa R Miller-MateroCenter for Health Policy and Health Services Research and Behavioral Health Services, Henry Ford Health, One Ford Place, Detroit, Michigan.
Timothy ChruscielDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, Missouri; Advanced HEAlth Data (AHEAD) Research Institute, Saint Louis University School of Medicine, St. Louis, Missouri; Department of Health and Clinical Outcomes Research, Saint Louis University School of Medicine, St. Louis, Missouri.
Joanne SalasDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, Missouri; Advanced HEAlth Data (AHEAD) Research Institute, Saint Louis University School of Medicine, St. Louis, Missouri.
Mark D SullivanDepartment of Psychiatry and Behavioral Science, University of Washington School of Medicine, Seattle, Washington.
Celeste ZabelCenter for Health Policy and Health Services Research and Behavioral Health Services, Henry Ford Health, One Ford Place, Detroit, Michigan.
Patrick LustmanDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri.
Brian AhmedaniCenter for Health Policy and Health Services Research and Behavioral Health Services, Henry Ford Health, One Ford Place, Detroit, Michigan.
Ryan W CarpenterDepartment of Psychological Sciences, University of Missouri-St. Louis, St. Louis, Missouri.
Jeffrey F ScherrerDepartment of Family and Community Medicine, Saint Louis University School of Medicine, St. Louis, Missouri; Advanced HEAlth Data (AHEAD) Research Institute, Saint Louis University School of Medicine, St. Louis, Missouri; Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, St. Louis, Missouri.
Saint Louis University · USBehavioral Health Services · USUniversity of Missouri–St. Louis · USUniversity of Washington · USWashington University in St. Louis · US

Funding

Pathways from Chronic Prescription Opioid Use to New Onset Mood DisorderR01DA043811 · NIDA · SAINT LOUIS UNIVERSITY · PI SCHERRER, JEFFREY F. · 2019 to 2023
$3.2M
Developing a modified brief alcohol-focused intervention tailored for patients with alcohol use disorder in opioid agonist treatmentK23AA029729 · NIAAA · UNIVERSITY OF NOTRE DAME · PI Ryan W Carpenter · 2022 to 2026
$793k
NIAAA NIH HHS K23 AA029729NIDA NIH HHS R01 DA043811
6 · The paper itself

Abstract

Retrospective cohort studies have consistently observed that long-term prescription opioid use is a risk factor for new major depressive episodes. However, prospective studies are needed to confirm these findings and establish evidence for causation. The Prescription Opioids and Depression Pathways cohort study is designed for this purpose. The present report describes the baseline sample and associations between participant characteristics and odds of daily versus nondaily opioid use. Second, we report associations between participant characteristics and odds of depression, dysthymia, anhedonia, and vital exhaustion. Patients with noncancer pain were eligible if they started a new period of prescription opioid use lasting 30 to 90 days. Participants were 54.8 (standard deviation ± 11.3) years of age, 57.3% female and 73% White race. Less than college education was more common among daily versus nondaily opioid users (32.4% vs 27.3%; P = .0008), as was back pain (64.2% vs 51.3%; P < .0001), any nonopioid substance use disorder (12.8% vs 4.8%; P < .0001), and current smoking (30.7% vs 18.4% P < .0001). High pain interference (50.9% vs 28.4%; P < .0001) was significantly associated with depression, as was having more pain sites (6.9 ± 3.6 vs 5.7 ± 3.6; P < .0001), and benzodiazepine comedication (38.2% vs 23.4%; P < .0001). High pain interference was significantly more common among those with anhedonia (46.8% vs 27.4%; P < .0001), and more pain sites (7.0 ± 3.7 vs 5.6 ± 3.6; P < .0001) were associated with anhedonia. Having more pain sites (7.9 ± 3.6 vs 5.5 ± 3.50; P < .0001) was associated with vital exhaustion, as was back pain (71.9% vs 56.8%; P = .0001) and benzodiazepine comedication (42.8% vs 22.8%; P < .0001). Patients using prescription opioids for noncancer pain have complex pain, psychiatric, and substance use disorder comorbidities. Longitudinal data will reveal whether long-term opioid therapy leads to depression or other mood disturbances such as anhedonia and vital exhaustion. PERSPECTIVE: This study reports baseline characteristics of a new prospective, noncancer pain cohort study. Risk factors for adverse opioid outcomes were most common in those with depression and vital exhaustion and less common in dysthymia and anhedonia. Baseline data highlight the complexity of patients receiving long-term opioid therapy for noncancer pain.

Indexed as

Chronic PainMajor Depressive DisorderOpioid-Related DisordersAnalgesics, OpioidAnhedoniaBack PainBenzodiazepinesCohort StudiesFemaleHumansMaleMiddle AgedProspective StudiesRetrospective StudiesUnited StatesAnalgesics, OpioidBenzodiazepinescohortepidemiologymoodOpioidpain

Identifiers

PMID37907114
PMCPMC10960712
OpenAlexW4388104534

What OpenQuestion holds

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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.