Evidence map›Paper›PMID 42500954›Full record

ArticleJournal of pain & palliative care pharmacotherapy2026

Centralized Pain Diagnoses in Older Adults With and Without Cancer.

Madison N Irwin, Vincent Marshall, N Lynn Henry, Karen Farris, Michael A Smith

Abstract read
In one paragraph

Article in Journal of pain & palliative care pharmacotherapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Madison N IrwinUniversity of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.ORCID 0000-0003-3769-7035
Vincent MarshallUniversity of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.ORCID 0000-0002-2594-7407
N Lynn HenryUniversity of Michigan Medical School, Ann Arbor, Michigan, USA.
Karen FarrisUniversity of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.
Michael A SmithUniversity of Michigan College of Pharmacy, Ann Arbor, Michigan, USA.

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
Centralized Pain Management In Older Adult Cancer SurvivorsK08AG081505 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Michael A Smith · 2024 to 2026
$509k
NIA NIH HHS K08 AG081505NIA NIH HHS P30 AG024824
6 · The paper itself

Abstract

Chronic pain is highly prevalent in older adult cancer survivors, but the prevalence of nociplastic pain is ill-defined. This is important because nociplastic pain responds poorly to opioids, the cornerstone of cancer pain management. Moreover, older adults face high risk of respiratory depression, falls, and mortality from opioids. Given these risks, a better understanding of nociplastic pain prevalence is needed. This was a cross-sectional analysis study at a large, academic medical center. Patients ≥65 years of age with at least one outpatient visit between November 1, 2015 and December 23, 2021 were included. The primary outcome was the proportion of older adults, with and without cancer, with a chronic overlapping pain condition (COPC) diagnosis (a type of nociplastic pain). There were 320,727 older adults included and 15.5% carried at least one COPC diagnosis. Those with COPCs were more likely to be female, younger, and have a higher Elixhauser Comorbidity Index. Black Americans were less likely to carry a COPC diagnosis. The incidence rate of COPCs was 1.0333 times higher in older adults with cancer (95% CI [1.014, 1.053],

Indexed as

Cancerfibromyalgianociplastic painolder adultsopioids

Identifiers

PMID42500954
PMCPMC13591457

What OpenQuestion holds

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Registered trials

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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.