Evidence map›Paper›PMID 41999142›Full record

Trial reportClinical nursing research2026

Effects of Patient-Preferred Music on Anxiety, Pain, and Quality of Recovery After Knee Arthroplasty Under Spinal Anesthesia: A Randomized Controlled Trial.

Burak Nalbant, Gokhan Erdem, Muhammed Kose, Enes Saglam, Abdulaziz Aysel, Fatma Kavak Akelma

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical nursing research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Burak NalbantAnkara Yıldırım Beyazıt University, Turkiye.ORCID 0000-0003-2582-6880
Gokhan ErdemAnkara Bilkent City Hospital, Turkiye.ORCID 0000-0002-6642-2279
Muhammed KoseAnkara Bilkent City Hospital, Turkiye.ORCID 0000-0003-0475-9586
Enes SaglamAnkara Bilkent City Hospital, Turkiye.ORCID 0009-0006-0615-0685
Abdulaziz AyselAnkara Bilkent City Hospital, Turkiye.ORCID 0000-0002-1194-9217
Fatma Kavak AkelmaAnkara Yıldırım Beyazıt University, Turkiye.ORCID 0000-0003-3647-7516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preoperative anxiety and pain can adversely affect recovery and satisfaction. Music is a safe, low-cost, non-pharmacological intervention that may enhance perioperative outcomes. This study evaluated the effects of patient-preferred music on anxiety, recovery, pain, satisfaction, and hemodynamics during unilateral knee arthroplasty under spinal anesthesia. In this prospective, randomized, controlled, single-blind trial, 80 patients were assigned to either a music group (Group M) or a control group (Group C). Group M listened to preferred music via headphones before and during surgery, while Group C received standard care. Anxiety (State-Trait Anxiety Inventory; state: STAI-S, trait: STAI-T), recovery (Quality of Recovery-15 [QoR-15]), pain (Numeric Rating Scale [NRS]), satisfaction, and hemodynamic parameters were measured. Minimal clinically important difference (MCID) analyses were used to assess clinical significance. Sixty-five patients (Group M: 32; Group C: 33) were analyzed. Postoperative STAI-S scores were significantly lower in Group M (

Indexed as

Anesthesia, SpinalAnxietyArthroplasty, Replacement, KneeMusic TherapyPostoperative PainAgedFemaleHumansMaleMiddle AgedPatient SatisfactionProspective StudiesSingle-Blind Methodanxietyminimal clinically important differencemusic therapyQoR-15recoverySTAItotal knee arthroplasty

Identifiers

PMID41999142
PMCPMC13291381

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.