Evidence map›Paper›PMID 40745257›Full record

ArticleScientific reports2025

Effectiveness of a nurse-led pain management model following TACE: a retrospective analysis.

Yili Qu, Haizhi Xu, Xianjun Guo, Chunyan Zhang, Bei Xu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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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

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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. Article
4 · The record

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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.

Yili QuGeneral Surgery, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China.
Haizhi XuDepartment of Radiotherapy and Hematology, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China.
Xianjun GuoDepartment of Emergency Medicine, Armed Police Corps Hospital of Shanghai, Shanghai, 201103, China.
Chunyan ZhangGeneral Surgery, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China.
Bei XuGeneral Surgery, The Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China. johnriosvwko@mail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the clinical effectiveness of a nurse-led pain management model in patients undergoing transarterial chemoembolization (TACE) for primary liver cancer. The model included four key components: (1) dynamic pain assessment using the Numerical Rating Scale (NRS); (2) individualized non-pharmacological comfort interventions; (3) early mobilization support; and (4) patient education and post-discharge follow-up. The objective was to determine whether this structured nursing model could improve postoperative outcomes compared to conventional care. This retrospective study included 90 patients who underwent c-TACE for primary liver cancer at our hospital. Patients were divided into two groups: the control group (n = 45, May-July 2023) received standard care, while the experimental group (n = 45, August-October 2023) received the nurse-led pain management model in addition to standard care. NRS scores were recorded at 24 and 72 h postoperatively, and comfort, satisfaction, and complication rates were assessed on the day of discharge. Baseline characteristics were comparable between the two groups. At 24 h post-TACE, NRS scores showed no significant difference between the experimental (4.58 ± 1.12) and control (4.69 ± 1.05) groups (P = 0.648). However, by 72 h, the experimental group had significantly lower NRS scores (2.58 ± 0.79 vs. 3.62 ± 0.91, P < 0.001). Comfort and satisfaction scores were significantly higher in the experimental group (P < 0.01), while the overall complication rate was lower (P < 0.05). The nurse-led structured pain management model significantly improved pain control, patient comfort, and satisfaction while reducing postoperative complications. This scalable approach may serve as an effective adjunct to conventional postoperative care following TACE.

Indexed as

Chemoembolization, TherapeuticLiver NeoplasmsPain ManagementPostoperative PainAgedFemaleHumansMaleMiddle AgedPain MeasurementRetrospective StudiesTreatment OutcomeDynamic pain assessmentEarly mobilizationFollow-up careNon-pharmacologic interventionNurse-led modelPostoperative painPrimary liver cancerTransarterial chemoembolization

Identifiers

PMID40745257
PMCPMC12313911

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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.