Evidence map›Paper›PMID 41333837›Full record

ArticleNeurobiology of pain (Cambridge, Mass.)

Left nucleus accumbens volume is associated with poor sleep in hip osteoarthritis.

Natalia Egorova-Brumley, Luiza Bonfim Pacheco, Gabby Knox, Leila Nategh, Fiona Dobson, Michelle Hall

Abstract read
In one paragraph

Article in Neurobiology of pain (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Natalia Egorova-BrumleyMelbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia.
Luiza Bonfim PachecoMelbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia.
Gabby KnoxDepartment of Physiotherapy, Melbourne School of Health Sciences, University of Melbourne, Victoria, Australia.
Leila NateghMelbourne School of Psychological Sciences, University of Melbourne, Victoria, Australia.
Fiona DobsonDepartment of Physiotherapy, Melbourne School of Health Sciences, University of Melbourne, Victoria, Australia.
Michelle HallSydney Musculoskeletal Health, The Kolling Institute, The University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Reduction in the volume of the nucleus accumbens (NAc) has emerged as a promising signature of chronic pain transition, including in osteoarthritis (OA). Yet, less is known about the factors that could influence these changes in the mesolimbic system. Given that poor sleep is common in OA, and recent studies of sleep disturbance on pain perception in animals and healthy populations have specifically implicated the NAc, we hypothesised that the left NAc volume in hip OA would be associated with sleep quality and quantity. Furthermore, we explored how sex interacts with this relationship. Methods: Cross-sectional study in participants with hip OA (n = 34; aged 60+/-12 years, 67 % females) who reported moderate pain were recruited. Results: A one-sample Conclusions: Our results suggest that the reduction of the NAc volumes as a candidate biomarker of pain might be influenced by sleep. This exploratory finding in a chronic hip OA population is consistent with the results previously only reported in animal and experimental pain/sleep studies in healthy participants. Significance: The left NAc as a candidate biomarker of chronic pain is sensitive to the effects of sleep quality, especially in females with OA.

Indexed as

Chronic painHip osteoarthritisNucleus accumbensPainSleep

Identifiers

PMID41333837
PMCPMC12666800

What Socratic 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 Socratic graph.