Literature DB >> 34995100

Patient-Reported Outcome-Based Symptom Management Versus Usual Care After Lung Cancer Surgery: A Multicenter Randomized Controlled Trial.

Wei Dai1, Wenhong Feng2, Yuanqiang Zhang3, Xin Shelley Wang4, Yangjun Liu5, Cecilia Pompili6,7, Wei Xu8, Shaohua Xie1, Yaqin Wang1, Jia Liao1, Xing Wei1, Run Xiang1, Bin Hu1, Bo Tian1, Xiaozun Yang1, Xiang Wang1, Ping Xiao1, Qi Lai1, Xin Wang1, Bangrong Cao9, Qifeng Wang10, Fang Liu11, Xiaoqin Liu1, Tianpeng Xie1, Xiaojun Yang1, Xiang Zhuang1, Zhong Wu12, Guowei Che13, Qiang Li1, Qiuling Shi14,15.   

Abstract

PURPOSE: We aimed to evaluate the efficacy and feasibility of patient-reported outcome (PRO)-based symptom management in the early period after lung cancer surgery.
METHODS: Before surgery, patients with clinically diagnosed lung cancer were randomly assigned 1:1 to receive postoperative PRO-based symptom management or usual care. All patients reported symptoms on MD Anderson Symptom Inventory-Lung Cancer presurgery, daily postsurgery, and twice a week after discharge for up to 4 weeks via an electronic PRO system. In the intervention group, treating surgeons responded to overthreshold electronic alerts driven by any of the five target symptom scores (score ≥ 4 on a 0-10 scale for pain, fatigue, disturbed sleep, shortness of breath, and coughing). The control group patients received usual care and no alerts were generated. The primary outcome was the number of symptom threshold events (any target symptom with a score of ≥ 4) at discharge. Per-protocol analyses were conducted.
RESULTS: Of the 166 participants, 83 were randomly allocated to each group. At discharge, the intervention group reported fewer symptom threshold events than the control group (median [interquartile range], 0 [0-2] v 2 [0-3]; P = .007). At 4 weeks postdischarge, this difference was maintained between the intervention and control groups (median [interquartile range], 0 [0-0] v 0 [0-1]; P = .018). The intervention group had a lower complication rate than the control group (21.5% v 40.6%; P = .019). Surgeons spent a median of 3 minutes managing an alert.
CONCLUSION: PRO-based symptom management after lung cancer surgery showed lower symptom burden and fewer complications than usual care for up to 4 weeks postdischarge.

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Mesh:

Year:  2022        PMID: 34995100      PMCID: PMC8937008          DOI: 10.1200/JCO.21.01344

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  37 in total

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Authors:  Ethan Basch; Allison M Deal; Amylou C Dueck; Howard I Scher; Mark G Kris; Clifford Hudis; Deborah Schrag
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5.  Patient-Reported Outcomes of Video-Assisted Thoracoscopic Surgery Versus Thoracotomy for Locally Advanced Lung Cancer: A Longitudinal Cohort Study.

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6.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

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7.  Role of eHealth application Oncokompas in supporting self-management of symptoms and health-related quality of life in cancer survivors: a randomised, controlled trial.

Authors:  Anja van der Hout; Cornelia F van Uden-Kraan; Karen Holtmaat; Femke Jansen; Birgit I Lissenberg-Witte; Grard A P Nieuwenhuijzen; José A Hardillo; Robert J Baatenburg de Jong; Nicolette L Tiren-Verbeet; Dirkje W Sommeijer; Koen de Heer; Cees G Schaar; Robert-Jan E Sedee; Koop Bosscha; Michiel W M van den Brekel; Japke F Petersen; Matthijs Westerman; Jimmie Honings; Robert P Takes; Ilse Houtenbos; Wim T van den Broek; Remco de Bree; Patricia Jansen; Simone E J Eerenstein; C René Leemans; Josée M Zijlstra; Pim Cuijpers; Lonneke V van de Poll-Franse; Irma M Verdonck-de Leeuw
Journal:  Lancet Oncol       Date:  2019-12-11       Impact factor: 41.316

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Review 9.  Symptom and functional recovery monitoring in thoracic surgery.

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10.  Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey.

Authors:  Daniel Dindo; Nicolas Demartines; Pierre-Alain Clavien
Journal:  Ann Surg       Date:  2004-08       Impact factor: 12.969

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  3 in total

1.  Development and Validation of a Machine Learning Algorithm Predicting Emergency Department Use and Unplanned Hospitalization in Patients With Head and Neck Cancer.

Authors:  Christopher W Noel; Rinku Sutradhar; Lesley Gotlib Conn; David Forner; Wing C Chan; Rui Fu; Julie Hallet; Natalie G Coburn; Antoine Eskander
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2022-08-01       Impact factor: 8.961

2.  The effectiveness of telephone and internet-based supportive care for patients with esophageal cancer on enhanced recovery after surgery in China: A randomized controlled trial.

Authors:  Yuan Yu; Min Li; Ran Kang; Xinzhe Liu; Nuoxiaoxuan Wang; Qingmiao Zhu; Jun Cao; Minghua Cong
Journal:  Asia Pac J Oncol Nurs       Date:  2022-03-05

3.  Shortness of Breath on Day 1 After Surgery Alerting the Presence of Early Respiratory Complications After Surgery in Lung Cancer Patients.

Authors:  Qingsong Yu; Hongfan Yu; Wei Xu; Yang Pu; Yuxian Nie; Wei Dai; Xing Wei; Xin Shelley Wang; Charles S Cleeland; Qiang Li; Qiuling Shi
Journal:  Patient Prefer Adherence       Date:  2022-03-19       Impact factor: 2.711

  3 in total

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