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Preoperative Decision-Making in Patients With Pulmonary Nodules Suspected of Lung Cancer

14. Mai 2026 aktualisiert von: Xing Wei, MD, Sichuan Cancer Hospital and Research Institute

Preoperative Decision-Making Characteristics and Associated Mechanisms in Patients With Pulmonary Nodules Suspected of Lung Cancer

Patients with pulmonary nodules that are highly suspected to be lung cancer often need to make important treatment decisions before a definite pathological diagnosis is available. These decisions may include whether to undergo surgery, whether to continue follow-up, whether to have further diagnostic tests, and how to understand the potential benefits and risks of different management options.

This prospective observational study aims to describe the preoperative decision-making status of adult patients with pulmonary nodules suspected of lung cancer. The study will assess patients' decision self-efficacy, decisional conflict, shared decision-making experience, and decision regret using standardized questionnaires. It will also explore factors associated with better or worse decision quality, such as demographic characteristics, clinical information, health literacy, doctor-patient communication, family involvement, and emotional status.

No treatment or intervention will be assigned by the study. Participants will receive routine clinical care, and study data will be collected mainly through questionnaires before surgery or during the preoperative period. The findings may help clinicians identify patients who need additional decision support and improve communication during preoperative decision-making for suspected lung cancer.

Studienübersicht

Status

Noch keine Rekrutierung

Bedingungen

Intervention / Behandlung

Detaillierte Beschreibung

Pulmonary nodules that are highly suspected of malignancy represent a common and clinically challenging scenario in thoracic surgery. Before a definite pathological diagnosis is available, patients may need to make complex decisions regarding surgery, additional diagnostic procedures, active surveillance, or other management strategies. These decisions are often made under uncertainty and may be influenced by patients' understanding of medical information, perceived cancer risk, fear of treatment delay, concerns about unnecessary surgery, family involvement, and communication with clinicians.

This is a single-center, prospective observational study conducted at Sichuan Cancer Hospital. The study plans to enroll approximately 200 adult patients with pulmonary nodules highly suspected of lung cancer who are facing preoperative clinical decision-making. The study will not assign any treatment, diagnostic procedure, or behavioral intervention. All clinical management decisions will be made according to routine clinical practice and shared discussion between patients and their treating clinicians.

The primary aim of the study is to characterize preoperative decision-making among patients with pulmonary nodules suspected of lung cancer. Specifically, the study will assess decision self-efficacy, decisional conflict, and decision quality. Decision self-efficacy will be evaluated using the Decision Self-Efficacy Scale. Decisional conflict will be assessed using the Decisional Conflict Scale. Decision quality and shared decision-making experience will be evaluated using instruments such as the SDM-Q-9 and decision regret-related measures, as applicable.

The study will also explore the relationships among decision self-efficacy, decisional conflict, and decision quality. Potential associated factors may include demographic characteristics, clinical characteristics, health literacy, quality of doctor-patient communication, family involvement, emotional status, and patient preferences. Data will be collected using structured questionnaires during the preoperative outpatient or inpatient period.

Descriptive statistics will be used to summarize participant characteristics and questionnaire scores. Correlation analyses, multivariable regression models, and, if appropriate, structural equation modeling will be used to examine the associations and potential pathways linking decision self-efficacy, decisional conflict, and decision quality. The study is expected to provide evidence for identifying patients at risk of poor decision quality and for developing future decision support strategies in thoracic surgical practice.

Studientyp

Beobachtungs

Einschreibung (Geschätzt)

200

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienkontakt

Studieren Sie die Kontaktsicherung

Studienorte

  • China
    • Sichuan
      • Chengdu, Sichuan, China, 610041
        • Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China
        • Kontakt:
        • Hauptermittler:
          • Xing Wei, MD

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

  • Erwachsene
  • Älterer Erwachsener

Akzeptiert gesunde Freiwillige

Nein

Probenahmeverfahren

Nicht-Wahrscheinlichkeitsprobe

Studienpopulation

The study population will include adult patients treated at Sichuan Cancer Hospital who have pulmonary nodules highly suspected of lung cancer before pathological confirmation and who are facing preoperative clinical decision-making. Eligible participants will be identified from thoracic surgery outpatient clinics and inpatient wards. Participants will receive routine clinical care, and study data will be collected using structured questionnaires during the preoperative period.

Beschreibung

Inclusion Criteria:

  1. Age 18 years or older.
  2. Adult patients with pulmonary nodules that are highly suspected of malignancy based on clinical and radiological assessment.
  3. No definite pathological diagnosis of lung cancer before enrollment.
  4. Patients who are facing preoperative clinical decision-making with more than one reasonable management option, such as surgery, additional diagnostic evaluation, or follow-up.
  5. Able to understand the study procedures and complete the study questionnaires.
  6. Able and willing to provide written informed consent.

Exclusion Criteria:

  1. Patients without a real clinical decision-making choice regarding the management of the pulmonary nodule.
  2. Patients with severe cognitive impairment or a history of severe psychiatric disease that would interfere with valid questionnaire completion.
  3. Patients who are unable to communicate effectively with the study staff.
  4. Patients who decline to participate or are unable to provide written informed consent.

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

Kohorten und Interventionen

Gruppe / Kohorte
Intervention / Behandlung
Patients With Pulmonary Nodules Suspected of Lung Cancer
Adult patients with pulmonary nodules highly suspected of lung cancer who are facing preoperative clinical decision-making before pathological confirmation. Participants will receive routine clinical care. No intervention, treatment assignment, or diagnostic procedure will be assigned by the study. Study data will be collected using structured questionnaires to assess decision self-efficacy, decisional conflict, shared decision-making experience, decision regret, and related clinical and demographic factors.
Sonstiges: Questionnaire-Based Decision-Making Assessment
Participants will complete structured questionnaires during the preoperative outpatient or inpatient period. The questionnaires will assess decision self-efficacy, decisional conflict, shared decision-making experience, decision regret, and related demographic and clinical factors. The study will not assign any treatment, diagnostic procedure, surgery, or decision-support intervention. All clinical care and management decisions will follow routine practice.

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Decisional Conflict Scale Score
Zeitfenster: At enrollment during the preoperative period, before surgery
Decisional conflict will be assessed using the Decisional Conflict Scale. The scale evaluates uncertainty in decision-making, feeling uninformed, unclear personal values, inadequate support, and perceived ineffective decision-making. The total score ranges from 0 to 100, with higher scores indicating greater decisional conflict. A score of 37.5 or higher indicates clinically important decisional conflict.
At enrollment during the preoperative period, before surgery

Sekundäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Decision Self-Efficacy Scale Score
Zeitfenster: At enrollment during the preoperative period, before surgery
Decision self-efficacy will be assessed using the Decision Self-Efficacy Scale. The scale measures participants' confidence in obtaining information, understanding risks and benefits, clarifying personal values, expressing preferences, and making healthcare decisions. The total score ranges from 0 to 100, with higher scores indicating greater decision self-efficacy.
At enrollment during the preoperative period, before surgery
Shared Decision-Making Questionnaire-9 Score
Zeitfenster: After preoperative clinical consultation and before surgery
The shared decision-making experience will be assessed using the 9-item Shared Decision-Making Questionnaire. The questionnaire evaluates the participant's perception of involvement in the clinical decision-making process. The total score will be transformed to a 0-to-100 scale, with higher scores indicating a better shared decision-making experience.
After preoperative clinical consultation and before surgery
Decision Regret Scale Score
Zeitfenster: 1 month after the preoperative clinical decision
Decision regret will be assessed using the Decision Regret Scale. The scale measures distress or remorse after a healthcare decision has been made. The total score ranges from 0 to 100, with higher scores indicating greater decision regret.
1 month after the preoperative clinical decision

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Sponsor

Sichuan Cancer Hospital and Research Institute

Ermittler

  • Hauptermittler: Xing Wei, MD, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China

Publikationen und hilfreiche Links

Die Bereitstellung dieser Publikationen erfolgt freiwillig durch die für die Eingabe von Informationen über die Studie verantwortliche Person. Diese können sich auf alles beziehen, was mit dem Studium zu tun hat.

Allgemeine Veröffentlichungen

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Geschätzt)

1. Mai 2026

Primärer Abschluss (Geschätzt)

30. Juni 2027

Studienabschluss (Geschätzt)

31. Juli 2027

Studienanmeldedaten

Zuerst eingereicht

10. Mai 2026

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

10. Mai 2026

Zuerst gepostet (Tatsächlich)

15. Mai 2026

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

18. Mai 2026

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

14. Mai 2026

Zuletzt verifiziert

1. Mai 2026

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Schlüsselwörter

Andere Studien-ID-Nummern

  • CN-SDM-Lung 2

Plan für individuelle Teilnehmerdaten (IPD)

Planen Sie, individuelle Teilnehmerdaten (IPD) zu teilen?

NEIN

Beschreibung des IPD-Plans

Individual participant data will not be publicly shared because the study collects sensitive clinical and decision-making information from patients before pathological confirmation. De-identified aggregate results may be reported in publications or conference presentations. Requests for de-identified data may be considered by the principal investigator and the ethics committee, subject to applicable institutional policies and participant consent.

Arzneimittel- und Geräteinformationen, Studienunterlagen

Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

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