Viet-Thi Tran

Associate Professor

Université Paris-Saclay

France

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Viet-Thi Tran is an Associate Professor at Université de Paris in France. His research focuses on methodological frameworks in health studies, particularly regarding the misalignment of eligibility criteria and treatment assignment. His recent work includes assessing patient-reported outcomes in chronic pain and investigating the efficacy of COVID-19 vaccinations on long COVID symptoms. Additionally, he explores discrepancies in perspectives on smoking cessation and the reliability of self-reported health data.

Articles (17)

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2025

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2021

Collaborators (7)

Julia Stadelmaier

GERMANY

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Gerald Gartlehner

UNITED STATES

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Alexandre Malmartel

Université Paris Cité

FRANCE

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Sivem Afach

FRANCE

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Philippe Ravaud

Professor

Université Paris-Saclay

FRANCE

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Isabelle Boutron

Professor of Epidemiology

Université Paris-Saclay

FRANCE

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Bridget Young

Professor

University of Liverpool

UNITED KINGDOM

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Viet-Thi Tran

Research Interests

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About

Articles (17)

Review of methods to deal with the misalignment of times of eligibility, start of follow-up, and treatment assignment in studies explicitly aimed at emulating target trials

Reliability of self-reported endometriosis and adenomyosis data in online surveys: results from the ComPaRe-Endometriosis e-cohort

Sensitivity and Specificity of Using GPT-3.5 Turbo Models for Title and Abstract Screening in Systematic Reviews and Meta-analyses

Preferred study designs to support a comparative therapeutic strategy question in oncology: a vignette study

Discordances in patients’ and physicians’ perspectives on which contextual factors should be accounted for during smoking cessation

Psychometric properties and domains covered by patient-reported outcome measures used in trials assessing interventions for chronic pain

Characteristics of non-randomised studies of drug treatments: cross sectional study

Trajectories of the evolution of post-COVID-19 condition, up to two years after symptoms onset

A methodological framework allows the identification of personomic markers to consider when designing personalized interventions

Efficacy of first dose of covid-19 vaccine versus no vaccination on symptoms ofpatientswith long covid: target trial emulation based on ComPaRe e-cohort

Patients’ Perspectives on Transforming Clinical Trial Participation: Large Online Vignette-based Survey

Course of post COVID-19 disease symptoms over time in the ComPaRe long COVID prospective e-cohort

Development and Validation of the Long Coronavirus Disease (COVID) Symptom and Impact Tools: A Set of Patient-Reported Instruments Constructed From Patients’ Lived Experience

Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study

Priorities to improve the care for chronic conditions and multimorbidity: a survey of patients and stakeholders nested within the ComPaRe e-cohort

An International, Mixed-Methods Study of the Perceived Intrusiveness of Remote Digital Diabetes Monitoring

A classification of methods used to personalize participative interventions revealed inadequate reporting in trial protocols

Collaborators (7)

Julia Stadelmaier

Gerald Gartlehner

Alexandre Malmartel

Sivem Afach

Philippe Ravaud

Isabelle Boutron

Bridget Young

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