Biomedical subjects

Sonia Jain

Publications and source records attributed to Sonia Jain.

2 recordsLinked to original sources

PubMed2026

Characterizing Time Toxicity in Lung Cancer Clinical Trials: Development and Application of a Novel Time Burden Metric.

PURPOSE: Participation in clinical trials imposes additional time commitments beyond routine care; however, trial-associated time toxicity (TT) remains underinvestigated and poorly characterized. The purpose of this study was to develop a scalable, procedure-based metric to quantify total time required for trial participation using the protocol schedule of events. We applied this framework to lung cancer clinical trials to estimate trial-associated burden and explore changes in TT over time. MATERIALS AND METHODS: Protocols for clinical trials associated with United States (US) Food and Drug Administration (FDA) approvals of oral lung cancer therapies were obtained from public sources. Using each protocol's schedule of events, study-mandated procedures were assigned time toxicity units (TTUs) based on standardized time estimates. TTUs for each procedure were multiplied by their frequency and summed for screening through cycle 5 to determine a trial's total time toxicity (TTT). Days with health care contact (DHC) were summed over the same period to determine total DHC (TDHC). Median (m) TTT and TDHC were compared between studies published in 2005-2014 and 2015-2024 to assess temporal trends. Two-sample Mann-Whitney U tests were used for nonparametric comparisons. RESULTS: Thirty-two phase-specific protocols from trials published between 2005 and 2024 were included. Among studies published in 2005-2014 (n = 7), the median TTT (mTTT) was 63.8 (41.8-109.3) versus 82 (50.3-139.5) in 2015-2024 (n = 25) (P = .042). Corresponding median TDHC values were 14 (10-21) versus 15 (11-44), respectively (P = .16). CONCLUSION: More contemporary studies demonstrated higher TTT, with significantly greater mTTT observed in studies published in 2015-2024 versus 2005-2014. TDHC demonstrated less sensitivity in capturing differences in time burden. These findings demonstrate the feasibility and practical applicability of the proposed TT framework for characterizing protocol-associated time burden. Prospective validation and broader implementation may help inform patients and encourage streamlined protocol development.

Journal Article↗

PubMed2026

Role of Polygenic Risk Scores in Predicting Cognitive Functioning after Mild Traumatic Brain Injury: A TRACK-TBI Study.

Patients with traumatic brain injury (TBI) and Glasgow Coma Scale scores of 13-15 (historically called mild TBI [mTBI]) commonly experience changes in cognitive functioning, including processing speed, memory, and executive functioning. In a prospective sample (N = 523) of individuals of European descent who had been treated in a U.S. level 1 trauma center for mTBI, we examined the prognostic value of four polygenic risk scores (PRS) for cognitive outcomes at 6-months postinjury. To estimate the impact of mTBI on cognition, primary cognitive outcomes were scaled as z-scores reflecting changes in performance relative to predicted preinjury performance. The PRS examined were previously developed and validated to predict cognition-related outcomes of educational attainment (Education-PRS), intelligence (Intelligence-PRS), and Alzheimer's disease (AD-mild traumatic brain injury (APOE)-PRS and AD + APOE-PRS). Both the Education-PRS and Intelligence-PRS displayed bivariate associations with all four cognitive outcomes (β = 0.19-0.32), whereas neither Alzheimer's disease PRS was significantly associated with any outcome. After controlling for other factors known to predict cognitive outcomes of TBI (e.g., sex, education, mTBI severity defined by a combination of Glasgow Coma Scale scores and the presence/absence of acute intracranial findings on clinical neuroimaging), the Education-PRS and Intelligence-PRS remained independently predictive of verbal episodic memory (β = 0.10-0.16), whereas their associations with processing speed and executive functioning were mostly nonsignificant and were mediated through educational attainment. Looking across primary z-score and secondary raw score outcomes, cognitive outcomes 6 months post-mTBI were good on average, and PRS made small independent contributions to outcome prediction. The mediation model findings may support theories of cognitive reserve, which propose that individuals with stronger preinjury cognitive processing abilities (often estimated by educational history) can better compensate for TBI. Moreover, findings indicate that PRS may contribute modestly to multivariable models predicting cognitive function after TBI.

Humans↗