Li, Tianjing

Harms are assessed inconsistently and reported inadequately Part 2: nonsystematic adverse events

Mayo-Wilson, E., Fusco, N., Li, T., Hong, H., Canner, J. K., Dickersin, K., Bertizzolo, L., Cowley, T., Doshi, P., Ehmsen, J., et al. (2019) · Journal of Clinical Epidemiology

Pharmacovigilance and Adverse Drug ReactionsPharmaceutical industry and healthcare

Cited by 109

Cherry-picking by trialists and meta-analysts can drive conclusions about intervention efficacy

Mayo-Wilson, E., Li, T., Fusco, N., Bertizzolo, L., Canner, J. K., Cowley, T., Doshi, P., Ehmsen, J., Gresham, G., Guo, N., et al. (2017) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 108

Design, Analysis, and Reporting of Crossover Trials for Inclusion in a Meta-Analysis

Li, T., Yu, T., Hawkins, B. S., & Dickersin, K. (2015) · PLOS ONE

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 107

CONSORT Harms 2022 statement, explanation, and elaboration: updated guideline for the reporting of harms in randomized trials

Junqueira, D. R., Zorzela, L., Golder, S., Loke, Y., Gagnier, J. J., Julious, S. A., Li, T., Mayo-Wilson, E., Pham, B., Phillips, R., et al. (2023) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 67

Review and publication of protocol submissions to Trials – what have we learned in 10 years?

Li, T., Boutron, I., Salman, R. A.-S., Cobo, E., Flemyng, E., Grimshaw, J. M., & Altman, D. G. (2017) · Trials

Publishing and Scholarly CommunicationAcademic Publishing and Open Access

Cited by 66

Harms in Systematic Reviews Paper 1: An introduction to research on harms

Qureshi, R., Mayo-Wilson, E., & Li, T. (2022) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 63

Harms are assessed inconsistently and reported inadequately part 1: systematic adverse events

Mayo-Wilson, E., Fusco, N., Li, T., Hong, H., Canner, J. K., Dickersin, K., Bertizzolo, L., Cowley, T., Doshi, P., Ehmsen, J., et al. (2019) · Journal of Clinical Epidemiology

Pharmacovigilance and Adverse Drug ReactionsPharmaceutical industry and healthcare

Cited by 63

A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviews

Li, T., Saldanha, I. J., Jap, J., Smith, B. T., Canner, J., Hutfless, S. M., Branch, V., Carini, S., Chan, W., de Bruijn, B., et al. (2019) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsResearch Data Management Practices

Cited by 54

Clinical trial registration was associated with lower risk of bias compared with non-registered trials among trials included in systematic reviews

Lindsley, K., Fusco, N., Li, T., Scholten, R., & Hooft, L. (2022) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsPharmaceutical industry and healthcare

Cited by 52

Protocol for the development of a tool (INSPECT-SR) to identify problematic randomised controlled trials in systematic reviews of health interventions

Wilkinson, J., Heal, C., Antoniou, G. A., Flemyng, E., Alfirevic, Z., Avenell, A., Barbour, G., Brown, N. J. L., Carlisle, J., Clarke, M., et al. (2024) · BMJ Open

Meta-analysis and systematic reviewsAcademic integrity and plagiarism

Cited by 45

Prospective reporting of statistical analysis plans for randomised controlled trials

Hemming, K., Kearney, A., Gamble, C., Li, T., Jüni, P., Chan, A.-W., & Sydes, M. R. (2020) · Trials

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 34

Assessing the feasibility and impact of clinical trial trustworthiness checks via an application to Cochrane Reviews: Stage 2 of the INSPECT-SR project

Wilkinson, J., Heal, C., Antoniou, G. A., Flemyng, E., Ahnström, L., Alteri, A., Avenell, A., Barker, T. H., Borg, D. N., Brown, N. J. L., et al. (2025) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsAcademic integrity and plagiarism

Cited by 28

Tool to assess risk of bias in studies estimating the prevalence of mental health disorders (RoB-PrevMH)

Tonia, T., Buitrago-Garcia, D., Peter, N. L., Mesa-Vieira, C., Li, T., Furukawa, T. A., Cipriani, A., Leucht, S., Low, N., & Salanti, G. (2023) · BMJ Mental Health

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 26

Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trial

Saldanha, I. J., Schmid, C. H., Lau, J., Dickersin, K., Berlin, J. A., Jap, J., Smith, B. T., Carini, S., Chan, W., De Bruijn, B., et al. (2016) · Systematic Reviews

Meta-analysis and systematic reviewsSoftware Engineering Techniques and Practices

Cited by 15

INSPECT-SR: a tool for assessing trustworthiness of randomised controlled trials

Wilkinson, J., Heal, C., Flemyng, E., Antoniou, G. A., Aburrow, T., Alfirevic, Z., Avenell, A., Barbour, V., Berghella, V., Bishop, D. V. M., et al. (2025) · medRxiv

Meta-analysis and systematic reviewsAcademic integrity and plagiarism

Cited by 15

A survey of experts to identify methods to detect problematic studies: stage 1 of the INveStigating ProblEmatic Clinical Trials in Systematic Reviews project

Wilkinson, J., Heal, C., Antoniou, G. A., Flemyng, E., Avenell, A., Barbour, V., Bordewijk, E. M., Brown, N. J. L., Clarke, M., Dumville, J., et al. (2024) · Journal of Clinical Epidemiology

Academic integrity and plagiarismMeta-analysis and systematic reviews

Cited by 11