Evidence map›Paper›PMID 42698559›Full record

ArticleFrontiers in pharmacology2026

Longitudinal patient-reported outcomes and predictors of improvement in chemotherapy-induced peripheral neuropathy a secondary analysis of a randomized trial.

Hager Salah, Ahmed Hassan Shaaban, Mona A Abdelrahman, Hasnaa Osama, Asmaa M El-Kalaawy

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Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hager SalahDepartment of Clinical Pharmacy Services, King Hamad University Hospital, Royal Medical Services, Al saya, Bahrain.
Ahmed Hassan ShaabanDepartment of Clinical Oncology, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt.
Mona A AbdelrahmanDepartment of Clinical Pharmacy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, Egypt.
Hasnaa OsamaDepartment of Clinical Pharmacy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef, Egypt.
Asmaa M El-KalaawyDepartment of Pharmacology, Faculty of Medicine, Beni-Suef University, Beni-Suef, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chemotherapy-induced peripheral neuropathy (CIPN) compromises function and quality of life (QoL) and may precipitate chemotherapy modification. We evaluated longitudinal Patient-reported outcome measures (PROMs) during duloxetine-based CIPN management and explored clinical predictors of response. Methods: This secondary longitudinal analysis was conducted within a randomized clinical cohort receiving duloxetine-based therapy for chemotherapy-induced peripheral neuropathy (CIPN). Of the patients included in the parent trial, 72 with analyzable patient-reported outcome data were included in the present analysis. PROMs were collected at baseline, week 4, and week 8 using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Chemotherapy-Induced Peripheral Neuropathy 20-item module (EORTC QLQ- CIPN20), Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity (FACT/GOG-Ntx), Brief Pain Inventory (BPI), and Hamilton Anxiety Rating Scale HAM-A, and were analyzed using generalized estimating equations with multivariable adjustment. Instruments included EORTC QLQ-CIPN20 (0-100; higher = worse), FACT/GOG-Ntx (higher = better), Brief Pain Inventory (BPI) severity and interference (0-10; higher = worse), and. Hamilton Anxiety Rating Scale (HAM-A; higher = worse). Results: In this PROM analysis, significant improvement was observed across CIPN symptoms, pain, anxiety, and QoL outcomes over 8 weeks. QLQ-CIPN20 total decreased at week 4 (MD -12.64) and week 8 (MD -23.81) versus baseline (both p < 0.001), with sensory (-13.71; -26.45), motor (-10.97; -22.06), and autonomic (-9.00; -18.44) domain reductions (all p < 0.001). FACT/GOG-Ntx increased in week 4 (MD +6.42) and week 8 (MD +7.46) (p < 0.001), with no significant week 4-to-week eight increment. HAM-A decreased (-3.42; -6.77), while BPI severity (-1.55; -2.78) and interference (-1.26; -2.60) improved (all p < 0.001). Higher baseline pain predicted worse CIPN, lower QoL, and higher anxiety; metastatic disease and chemotherapy dose reduction were associated with poorer outcomes; missingness showed no strong baseline predictors. Conclusion: Duloxetine-based management was associated with rapid, sustained improvement in CIPN symptoms, pain, anxiety, and QoL over 8 weeks, supporting risk-stratified supportive care pathways.

Indexed as

Brief Pain Inventorychemotherapy-induced peripheral neuropathyduloxetineEORTC QLQ-CIPN20FACT/GOG-NTXHamilton Anxiety Rating Scalepatient-reported outcomes

Identifiers

PMID42698559
PMCPMC13541686

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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.