Xiaoting Shi
About
Biography
Xiaoting Shi is a doctoral student in the Department of Environmental Health Sciences. Her research and training focus on synthesizing evidence, conducting meta-research (i.e., research on research) projects, and applying causal inference methods in environmental epidemiology. In particular, she has developed an interest in and currently works on various research projects that: 1) synthesize and assess the evidence from literature, including systematic reviews, and umbrella reviews. 2) evaluate current publication practices, including evaluation of preprints, investigation of retracted publications, and estimation of publication fees. 3) conduct research on regulatory science, including evaluating regulatory policies by the US FDA and developing tools to facilitate real-world data to inform regulatory decision-making. Specifically, Xiaoting is part of the 2021-2022 CERSI Scholars Program to support regulatory science research that addresses the mission of the FDA. 4) utilize causal inference methods, including quantitative bias analysis and Mendelian randomization methods.
As a graduate teaching fellow at Yale, she has taught multiple courses and led various online workshops on research skills training for master students. She is also passionate about gaining more teaching experience in the future. Before coming to Yale, Xiaoting received her Bachelor's Degree in Preventive Medicine with a minor in Statistics in 2019.
Education & Training
- BMedSci
- Shanghai Jiao Tong University, Preventive Medicine (2019)
- BS
- East China Normal University, Statistics (Minor) (2019)
Research
Overview
Medical Subject Headings (MeSH)
ORCID
0000-0002-5256-0646
Research at a Glance
Yale Co-Authors
Research Interests
Joseph Ross, MD, MHS
Guneet Janda
Harlan Krumholz, MD, SM
Joshua J. Skydel, MD
Kate Nyhan, MLS
Mallory Kathryn Ellingson, MPH
Mendelian Randomization Analysis
Publications
2024
Artificial intelligence tools for optimising recruitment and retention in clinical trials: a scoping review protocol
Lu X, Chen M, Lu Z, Shi X, Liang L. Artificial intelligence tools for optimising recruitment and retention in clinical trials: a scoping review protocol. BMJ Open 2024, 14: e080032. PMID: 38508642, PMCID: PMC10953313, DOI: 10.1136/bmjopen-2023-080032.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsClinical trialsJoanna Briggs InstituteData charting tableObservational studyQuasi-experimental studyPeer-reviewed journalsAnalytic observational studyComputer science databasesProcess of clinical trialsContext of clinical trialsComprehensive electronic searchOptimise recruitmentCharting tableClinical trial researchEthical approvalReview protocolWeb of Science Core CollectionReview teamData extractionScience Core CollectionElectronic searchTrial researchScoping studyScience databasesReview of relevant literatureMediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes
Rogne T, Gill D, Liew Z, Shi X, Stensrud V, Nilsen T, Burgess S. Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes. JAMA Network Open 2024, 7: e2351166. PMID: 38206626, PMCID: PMC10784860, DOI: 10.1001/jamanetworkopen.2023.51166.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMeSH KeywordsBirth WeightCholesterolCohort StudiesDiabetes Mellitus, Type 2Educational StatusFemaleGenome-Wide Association StudyHumansHyperemesis GravidarumInfant, NewbornLipoproteins, HDLMediation AnalysisMendelian Randomization AnalysisPre-EclampsiaPregnancyPregnancy OutcomePregnancy, EctopicPremature BirthConceptsCardiometabolic risk factorsBody mass indexOffspring birth weightEducational attainmentMendelian randomizationHigh-density lipoprotein cholesterol levelsSystolic blood pressureInverse variance-weighted methodModifiable cardiometabolic risk factorsPregnancy outcomesCohort studyLipoprotein cholesterol levelsMR-Egger regressionMass indexUnivariable MR analysisEffects of educational attainmentAssociated with increased risk of adverse pregnancy outcomesPublic health interventionsMaternal education levelLower educational attainmentRisk factorsRisk of adverse pregnancy outcomesGenome-wide association studiesAssociated with increased riskBirth weight
2022
Comparison of Clinical Study Results Reported in medRxiv Preprints vs Peer-reviewed Journal Articles
Janda G, Khetpal V, Shi X, Ross J, Wallach J. Comparison of Clinical Study Results Reported in medRxiv Preprints vs Peer-reviewed Journal Articles. JAMA Network Open 2022, 5: e2245847. PMID: 36484989, PMCID: PMC9856222, DOI: 10.1001/jamanetworkopen.2022.45847.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPrimary end pointPrimary end point resultsPeer-reviewed journalsClinical studiesEnd pointClinical trialsObservational studyStudy characteristicsEnd point resultsClinical study resultsMost clinical studiesCross-sectional studyHealth-related outcomesSample sizeMAIN OUTCOMEPeer-reviewed publicationsMedRxivEffect estimatesStudy interpretationDiscordant pairsCOVID-19TrialsCharacterization and corroboration of safety signals identified from the US Food and Drug Administration Adverse Event Reporting System, 2008-19: cross sectional study
Dhodapkar MM, Shi X, Ramachandran R, Chen EM, Wallach JD, Ross JS. Characterization and corroboration of safety signals identified from the US Food and Drug Administration Adverse Event Reporting System, 2008-19: cross sectional study. The BMJ 2022, 379: e071752. PMID: 36198428, PMCID: PMC9533298, DOI: 10.1136/bmj-2022-071752.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPotential safety signalsSafety signalsSectional studyUS FoodDrug Administration Adverse Event Reporting SystemLiterature searchAdverse Event Reporting SystemSentinel InitiativeDrug Safety CommunicationsEvent Reporting SystemDrug safety signalsAdverse eventsCase seriesCase reportRegulatory actionDrug labelingSignificant associationFDA regulatory actionsComprehensive safety evaluationFAERSFDACharacteristics of Retracted Research Articles About COVID-19 vs Other Topics
Shi X, Abritis A, Patel RP, Grewal M, Oransky I, Ross JS, Wallach JD. Characteristics of Retracted Research Articles About COVID-19 vs Other Topics. JAMA Network Open 2022, 5: e2234585. PMID: 36194415, PMCID: PMC9533180, DOI: 10.1001/jamanetworkopen.2022.34585.Peer-Reviewed Original ResearchCitationsAltmetricUmbrella reviews: a useful study design in need of standardisation
Shi X, Wallach J. Umbrella reviews: a useful study design in need of standardisation. The BMJ 2022, 378: o1740. DOI: 10.1136/bmj.o1740.Peer-Reviewed Original ResearchCitationsAltmetricEnvironmental risk factors for non-Hodgkin's lymphoma: umbrella review and comparison of meta-analyses of summary and individual participant data
Shi X, Zhuo H, Du Y, Nyhan K, Ioannidis J, Wallach J. Environmental risk factors for non-Hodgkin's lymphoma: umbrella review and comparison of meta-analyses of summary and individual participant data. BMJ Medicine 2022, 1: e000184. PMID: 36936582, PMCID: PMC9978687, DOI: 10.1136/bmjmed-2022-000184.Peer-Reviewed Original ResearchCitationsAltmetricConceptsIndividual participant dataEnvironmental risk factorsHodgkin's lymphomaRisk factorsUmbrella reviewSummary-level dataParticipant dataInternational Lymphoma Epidemiology ConsortiumIndividual participant-level dataAMSTAR-2 toolRelated risk factorsConfidence intervalsParticipant-level dataRandom-effects modelUnique environmental risk factorsSummary effect sizeCoeliac diseasePotential confoundersCochrane LibraryMethodological qualityEligibility criteriaLymphomaRegistration numberEpidemiology ConsortiumEvidence synthesis
2021
Assessment of Concordance and Discordance Among Clinical Studies Posted as Preprints and Subsequently Published in High-Impact Journals
Shi X, Ross JS, Amancharla N, Niforatos JD, Krumholz HM, Wallach JD. Assessment of Concordance and Discordance Among Clinical Studies Posted as Preprints and Subsequently Published in High-Impact Journals. JAMA Network Open 2021, 4: e212110. PMID: 33734411, PMCID: PMC7974637, DOI: 10.1001/jamanetworkopen.2021.2110.Peer-Reviewed Original ResearchCitationsAltmetricPublishing at any cost: a cross-sectional study of the amount that medical researchers spend on open access publishing each year
Ellingson MK, Shi X, Skydel JJ, Nyhan K, Lehman R, Ross JS, Wallach JD. Publishing at any cost: a cross-sectional study of the amount that medical researchers spend on open access publishing each year. BMJ Open 2021, 11: e047107. PMID: 33526505, PMCID: PMC7852964, DOI: 10.1136/bmjopen-2020-047107.Peer-Reviewed Original ResearchCitationsAltmetric