Evidence map›Paper›PMID 41728313›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Trajectories of pain and cognitive function: 22 years of evidence in mid-to-later life.

Salomé Andres, Simon R Cox, Chloe Fawns-Ritchie

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

5 · Who and what money

Authors and funding

3 authors.

Salomé AndresAdvanced Care Research Centre Academy, College of Science and Engineering, University of Edinburgh, 10 Max Born Crescent EH9 3BF, United Kingdom.ORCID 0009-0002-7415-6502
Simon R CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh, 7 George Square EH8 9JZ, United Kingdom.
Chloe Fawns-RitchieLothian Birth Cohorts, Edinburgh Futures Institute, University of Edinburgh, 1 Lauriston Place EH2 9EF, United Kingdom.

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Large-Scale Genomic Analysis of Aging-Related Cognitive Change Prior to Dementia OnsetRF1AG073593 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2021 to 2021
$2.1M
NIA NIH HHS R01 AG017644NIA NIH HHS RF1 AG073593Wellcome Trust
6 · The paper itself

Abstract

Chronic pain has been identified as a risk factor for cognitive decline in later life. However, most studies measure pain at a single time point and none have investigated whether variations in pain severity are associated with changes in cognitive function over time. This project aimed to assess the relationship between individual-level change in pain severity and decline in cognitive function over time. We used data from the English Longitudinal Study of Ageing (ELSA), a cohort of nationally representative middle aged and older adults. Pain severity was measured at each wave using a 4-point scale (none, mild, moderate and severe) and cognitive function was assessed using 3 objective tests. We applied latent growth curve modelling, a method for longitudinal analysis, to 19,376 ELSA participants' data collected over 11 waves, spanning more than 20 years, to examine the relationship between initial level and change of both pain and cognitive function. Adjusting for age and sex, worsening chronic pain severity was associated with accelerated decline in a general measure of cognitive function (β = -0.053,

Indexed as

cognitive declinelatent growth curve modellinglongitudinal studyolder adultsPain severity

Identifiers

PMID41728313
PMCPMC12919116

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.