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.

The analytical approach described in this manuscript yielded reproducible quantitative data regarding the intracellular distribution of model compounds in U-937 cells. With the aid of a relatively sensitive analytical assay, this technique should be useful for most drugs that have a specific concentrative mechanism for organelle accumulation similar to Dox and LTR.

IntroductionSurgery is one of the primary treatments for lung cancer. The postoperative symptom burden experienced by patients with lung cancer is substantial, seriously delaying their recovery from surgery and impairing their quality of life. Patient-reported outcome (PRO)-based symptom management is increasingly regarded as an optimal model for patient-centred care. Currently, clinical trial-based evidence involving early-phase (immediately after surgery for up to 1 month) symptom management of lung cancer is lacking. We propose a randomised trial to evaluate the effect of a PRO-based symptom-monitoring programme with overthreshold alerts and responses for postoperative recovery in patients with lung cancer.Methods and analysisThe study will recruit 160 patients with lung cancer from six hospitals. The patients will be randomly allocated to the intervention group or control group in a ratio of 1:1. Patients in the intervention group will receive PRO-based symptom management from the specialists when their reported target symptom (pain, coughing, fatigue, disturbed sleep and shortness of breath) scores reach the preset threshold (score ≥4). Patients in the control group will not generate alerts and will follow the standard procedures for symptom management. All patients will receive symptom assessments via the MD Anderson Symptom Inventory—lung cancer module on the day before surgery, daily after surgery and twice a week after discharge until 4 weeks or the start of postoperative oncological treatment. The primary outcome—mean symptom threshold events—will be compared between the intervention and control group via independent sample Student’s t-test.Ethics and disseminationThe study was approved by the Ethics Committee of Sichuan Cancer Hospital on 22 November 2018 (No. SCCHEC-02-2018-045). This manuscript is based on V.2.0, 9 May 2019 of the protocol. The study results will be disseminated in publications in peer-reviewed journals and presentations at academic conferences.Trials registration numberChiCTR1900020846.

IntroductionPatient-reported outcome-based symptom monitoring and alerting have been attractive for patient care after a tumour-removal surgery. However, the implementation parameters of this patient-centred symptom management system in perioperative patients with lung cancer are still lacking. We aim to develop a perioperative symptom scale (PSS) for monitoring, to determine the optimal time points for symptom assessment and to define the alert thresholds for medical intervention.Methods and analysisThis study will prospectively recruit 300 patients undergoing lung cancer surgery in six hospitals. The MD Anderson Symptom Inventory–Lung Cancer Module (MDASI-LC) is used to collect longitudinal symptom data preoperatively, daily postoperatively during in-hospital stay and weekly after discharge until 4 weeks or the start of postoperative oncological therapy. Symptoms that change significantly over time will be generated as the PSS. We will determine the optimal time points for follow-up using the generalised linear mixed-effects models. The MDASI-LC interference-measured functional status will be used as the anchor for the alert thresholds.Ethics and disseminationEthics Committee of Sichuan Cancer Hospital approved this study on 16 October 2017 (No. SCCHEC-02-2017-042). The manuscript is based on the latest protocol of Version 3.0, 15 September 2019. The results of this study will be presented at medical conferences and published in peer-reviewed journals.Trials registration number NCT03341377.

IntroductionAlthough molecular testing is crucial for many patients with lung cancer, the decision to carry out molecular testing is not easy to make in actual clinical scenarios. Using a specific decision aid (DA) to conduct shared decision-making (SDM) may help ameliorate this problem. However, no DA currently exists for lung cancer molecular testing (DA_LCMT). We aim to develop an evidence-based, iteratively refined DA, which may facilitate SDM and improve the quality of SDM.Methods and analysisAfter considering the Ottawa Decision Support Framework, International Patient Decision Aid Standards and Food and Drug Administration guidance about methods to identify what is important to patients, semistructured interviews with qualitative research methods will be used to generate the decision-making needs of patients with lung cancer diagnosed with lung adenocarcinoma by intraoperative frozen pathological sections. Input will be provided by patients and other stakeholders, including thoracic surgeons, nurses, hospital administrators, molecular testing company staff and insurance company staff. Then, a modified Delphi method will be used to develop the DA_LCMT V.1.0 (DA_LCMT 1.0). Structured interviews with qualitative research methods will be used in the cognitive debriefing (alpha tests) and field testing (beta tests) to revise and improve the DA_LCMT from version 1.0 to the final version, version 3.0. Descriptive statistics will be used to summarise the baseline characteristics of the patients and other stakeholders. Qualitative data will be analysed using the three steps of grounded theory: generate a codebook, update the codebook and create a comprehensive list of related items.Ethics and disseminationEthics Committee for Medical Research and New Medical Technology of Sichuan Cancer Hospital approved this study. This protocol is based on the latest version 1.0, dated 31 October 2021. The study was also approved by the Ethics Committees of The Third People’s Hospital of Chengdu, Zigong First People’s Hospital and Jiangyou People’s Hospital. The results of this study will be presented at medical conferences and published in peer-reviewed journals.Trial registration numberNCT05191485.