Evidence map›Paper›PMID 39976814›Full record

ReviewDrugs & aging2025

Antidepressants to Manage Osteoarthritic Pain: The Value of Pain Phenotyping.

Di Zhang, Leticia A Deveza, Bryan Yijia Tan, Blake Dear, David J Hunter

Abstract readReview
In one paragraph

Review in Drugs & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
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.

Di ZhangThe Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Leticia A DevezaSydney Musculoskeletal Health, Kolling Institute of Medical Research, The University of Sydney, 10N Missenden Rd, Camperdown, NSW, 2050, Australia.
Bryan Yijia TanDepartment of Orthopaedic Surgery, Woodlands Health, National Healthcare Group, Singapore, Singapore.
Blake DearSchool of Psychological Sciences, Macquarie University, Sydney, Australia.
David J HunterSydney Musculoskeletal Health, Kolling Institute of Medical Research, The University of Sydney, 10N Missenden Rd, Camperdown, NSW, 2050, Australia. david.hunter@sydney.edu.au.

Funding

National Natural Science Foundation of China 82073494National Natural Science Foundation of China 82122061NHMRC Investigator Grant 1194737
6 · The paper itself

Abstract

Osteoarthritis (OA) is a chronic condition in which pain significantly affects quality of life, often leading to reduced physical activity and disability. Globally, an estimated 595 million people are affected, with the numbers likely to increase owing to an aging population and rising obesity rates. Effective pain management is crucial, yet current treatments, such as nonsteroidal anti-inflammatory drugs (NSAIDs) and opioids, often provide limited relief and come with risks. One reason for this limited success is the insufficient recognition of the importance of psychosocial factors and heterogeneity of patients with OA (such as anxiety and depression), which can exacerbate pain and its impacts. The variability in patient pain experiences highlights the potential value of pain phenotyping, which involves a comprehensive assessment of pain characteristics to tailor treatments to individual needs. Antidepressants, particularly serotonin-norepinephrine reuptake inhibitors (SNRIs), show promise in alleviating both psychological symptoms and OA-related pain, but their effectiveness varies among individuals. Therefore, further research into standardized pain phenotyping methods and their integration into antidepressant treatment is needed to improve efficacy and minimize side effects through more personalized approaches.

Indexed as

Antidepressive AgentsOsteoarthritisPainPain ManagementHumansPhenotypeAntidepressive Agents

Identifiers

PMID39976814
PMCPMC11880052

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.