Evidence map›Paper›PMID 41798543›Full record

ReviewCureus2026

Efficacy of Selective Serotonin Reuptake Inhibitors for the Treatment of Chronic Pain and Comorbid Depression in Individuals With Fibromyalgia: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Salman Alfawaz, Zakiyah Aljeshi, Jehad Aldandan, Muath Alharthi, Mohammed Alnefaie, Nada Babelli, Nouf Alshehri, Shaden Alsenaidi, Wael Albalawi, Ghadah Alghamdi and 2 more

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Salman AlfawazPhysical Medicine and Rehabilitation, Ministry of Health - Kuwait, Kuwait City, KWT.
Zakiyah AljeshiCollege of Medicine, Alfaisal University, Riyadh, SAU.
Jehad AldandanCollege of Medicine, King Faisal University, Hofuf, SAU.
Muath AlharthiCollege of Medicine, Taif University, Taif, SAU.
Mohammed AlnefaieCollege of Medicine, University of Jeddah, Jeddah, SAU.
Nada BabelliNeurology, King Fahad Medical City, Riyadh, SAU.
Nouf AlshehriCollege of Medicine, University of Tabuk, Tabuk, SAU.
Shaden AlsenaidiCollege of Medicine, Almaarefa University, Riyadh, SAU.
Wael AlbalawiCollege of Pharmacy, Qassim University, Buraydah, SAU.
Ghadah AlghamdiCollege of Medicine, King Abdulaziz University, Jeddah, SAU.
Sarah AlsufyaniPsychology, Washington Adventist University, Takoma Park, USA.
Aziz AlfeeliPhysical Medicine and Rehabilitation, Al-Amiri Hospital, Kuwait City, KWT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibromyalgia causes symptoms like chronic widespread pain, fatigue, and cognitive difficulties, often alongside depression and chronic pain, complicating treatment. While selective serotonin reuptake inhibitors (SSRIs) are prescribed for fibromyalgia-related depression and pain, their effectiveness is unclear. This systematic review and meta-analysis evaluated SSRI efficacy in fibromyalgia patients with comorbid depression and chronic pain. This systematic review was registered with the International Prospective Register of Systematic Reviews (PROSPERO) and conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. We searched PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Web of Science, Ovid, and Google Scholar. We included randomized controlled trials (RCTs) using formal fibromyalgia criteria and reporting depression or pain outcomes. Non-RCTs, studies with non-adults, or non-SSRI comparisons without isolating SSRI effects were excluded. The Cochrane risk-of-bias tool for randomized trials (RoB-2) was used to assess the risk of bias in this study. Four reviewers independently screened titles and abstracts; four assessed full-texts with disagreements resolved by a senior reviewer. Outcome data were converted to mean change scores from baseline where not directly reported. The standardized mean difference (SMD) was used for the meta-analysis to pool data across different scales. Nine RCTs (n = 461 participants, predominantly female, mean ages across studies ranged from 32.7 to 52.9 years) were analyzed. Compared to placebo, SSRIs significantly reduced pain (eight RCTs, n = 421; SMD -0.53, 95% confidence interval (CI): -0.92 to -0.14, p = 0.007) and improved depression (six RCTs, n = 265; SMD -0.67, 95% CI: -1.14 to -0.20, p = 0.005). SSRIs also significantly improved quality of life (QOL) versus placebo (five RCTs, n = 301; SMD -0.30, 95% CI: -0.55 to -0.04, p = 0.02). Compared to other non-pharmacological interventions (acupuncture and aerobic exercise), SSRIs showed non-significant improvement in depression (two RCTs, n = 70; SMD -0.39, 95% CI: -1.32 to 0.54, p = 0.41). Common side effects included gastrointestinal issues, dry mouth, sedation, sexual dysfunction, and headaches; SSRI groups reported more adverse events and higher dropout rates. SSRIs showed statistically significant benefits for pain, depression, and QOL in fibromyalgia compared to placebo. However, the overall evidence quality was found to be very low to low due to heterogeneity and risk of bias. Future RCT designs should adhere to a strict methodology in order to strengthen the available evidence on the efficacy of SSRIs in treating fibromyalgia.

Indexed as

chronic widespread paincitalopramescitalopramfibromyalgiafibromyalgia syndromefluoxetineparoxetineselective serotonin reuptake inhibitorsertralinessri

Identifiers

PMID41798543
PMCPMC12966770

What Socratic 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 Socratic graph.