2025
Association between Marital/Partner Status and Patient-Reported Outcomes in Stroke Patients: A Systematic Review
Zhu C, Tran P, Leifheit E, Spatz E, Dreyer R, Nyhan K, Wang S, Roberson P, Goldstein L, Lichtman J. Association between Marital/Partner Status and Patient-Reported Outcomes in Stroke Patients: A Systematic Review. Cerebrovascular Diseases 2025, 1-21. PMID: 40383118, PMCID: PMC12353958, DOI: 10.1159/000546413.Peer-Reviewed Original ResearchPatient-reported outcome measuresMarital/partner statusStroke patientsOutcome domainsSystematic reviewPersonal recovery outcomesPatient-reported outcomesPoststroke functional outcomeNewcastle-Ottawa ScaleFunctional outcomesPeer-reviewed studiesMental domainsMental healthStudy qualityRecovery outcomesPartner statusPoststroke depressionOutcome measuresQualitative synthesisNewcastle-OttawaMeta-analysesMeta-analysisStrokeAssociationOutcomes
2024
Quantitative bias analysis methods for summary-level epidemiologic data in the peer-reviewed literature: a systematic review
Shi X, Liu Z, Zhang M, Hua W, Li J, Lee J, Dharmarajan S, Nyhan K, Naimi A, Lash T, Jeffery M, Ross J, Liew Z, Wallach J. Quantitative bias analysis methods for summary-level epidemiologic data in the peer-reviewed literature: a systematic review. Journal Of Clinical Epidemiology 2024, 175: 111507. PMID: 39197688, PMCID: PMC12135099, DOI: 10.1016/j.jclinepi.2024.111507.Peer-Reviewed Original ResearchQuantitative bias analysis methodsQuantitative bias analysisPeer-reviewed literatureSystematic reviewEpidemiological dataObservational studyOpen Science FrameworkEnglish-language articlesWeb of ScienceMisclassification biasImpact of biasScience FrameworkStudy designEffect estimatesMeta-analysesPre-registeredStudy protocolBias analysisSelection biasLevel dataFuture investigationsMultiple biasesConfoundingReviewMEDLINE
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply