Evidence map›Paper›PMID 38480874›Full record

SynthesisMolecular psychiatry2024

Painful physical symptoms and antidepressant treatment outcome in depression: a systematic review and meta-analysis.

Jia Jia Liu, Xiao Huang, Yan-Ping Bao, Lin Lu, Ping Dong, Owen M Wolkowitz, John R Kelsoe, Jie Shi, Ya Bin Wei

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Molecular psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 17 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

9 authors at 4 institutions in 2 countries.

Jia Jia Liu *School of Nursing, Peking University, Beijing, China.
Xiao Huang *Department of Psychological Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Yan-Ping BaoSchool of Public Health, National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.ORCID 0000-0002-1881-0939
Lin LuPeking University Sixth Hospital, Peking University Institute of Mental Health, Key of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.ORCID 0000-0003-0742-9072
Ping DongPsychiatric Department, Peking University Sixth Hospital, Beijing, China.
Owen M WolkowitzWeill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.ORCID 0000-0003-0655-5042
John R KelsoeDepartment of Psychiatry and Center for Circadian Biology, University of California San Diego (UCSD), La Jolla, CA, USA.
Jie ShiNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China. shijie@bjmu.edu.cn.ORCID 0000-0001-6567-8160
Ya Bin WeiNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China. yabin.wei@bjmu.edu.cn.ORCID 0000-0002-3786-908X
Peking University · CNFudan University · CNUniversity of California San Diego · USUniversity of California, San Francisco · US

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82001430
6 · The paper itself

Abstract

backgroundPainful physical symptoms (PPS) are highly prevalent in patients with major depressive disorder (MDD). Presence of PPS in depressed patients are potentially associated with poorer antidepressant treatment outcome. We aimed to evaluate the association of baseline pain levels and antidepressant treatment outcomes.

methodsWe searched PubMed, Embase and Cochrane Library databases from inception through February 2023 based on a pre-registered protocol (PROSPERO: CRD42022381349). We included original studies that reported pretreatment pain measures in antidepressant treatment responder/remitter and non-responder/non-remitter among patients with MDD. Data extraction and quality assessment were performed following the Preferred Reporting Items for Systematic Reviews and Meta-analyses by two reviewers independently. The primary outcome was the difference of the pretreatment pain levels between antidepressant treatment responder/remitter and non-responder/non-remitter. Random-effects meta-analysis was used to calculate effect sizes (Hedge's g) and subgroup and meta-regression analyses were used to explore sources of heterogeneity.

resultsA total of 20 studies were included. Six studies reported significantly higher baseline pain severity levels in MDD treatment non-responders (Hedge's g = 0.32; 95% CI, 0.13-0.51; P = 0.0008). Six studies reported the presence of PPS (measured using a pain severity scale) was significantly associated with poor treatment response (OR = 1.46; 95% CI, 1.04-2.04; P = 0.028). Five studies reported significant higher baseline pain interference levels in non-responders (Hedge's g = 0.46; 95% CI, 0.32-0.61; P < 0.0001). Four studies found significantly higher baseline pain severity levels in non-remitters (Hedge's g = 0.27; 95% CI, 0.14-0.40; P < 0.0001). Eight studies reported the presence of PPS significantly associated with treatment non-remission (OR = 1.70; 95% CI, 1.24-2.32; P = 0.0009).

conclusionsThis study suggests that PPS are negatively associated with the antidepressant treatment outcome in patients with MDD. It is possible that better management in pain conditions when treating depression can benefit the therapeutic effects of antidepressant medication in depressed patients.

Indexed as

Antidepressive AgentsMajor Depressive DisorderPainDepressionHumansTreatment OutcomeAntidepressive Agents

Identifiers

PMID38480874
OpenAlexW4392741155

What Socratic holds

Textmetadata
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 Socratic graph.