Edward Tran
MD Student, expected graduation Spring 2031
All Publications
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A Scoping Review of Mosquito Vector Range Shifts: Widespread Expansions and Evidence Gaps in Climate Attribution.
Global change biology
2025; 31 (10): e70551
Abstract
As global temperatures rise, concerns about shifting mosquito ranges-and accompanying changes in the transmission of malaria, dengue, and other diseases-are mounting. However, systematic evidence for climate-driven changes in mosquito ranges remains limited. We conducted a scoping review following PRISMA-ScR guidelines of studies documenting expansions or contractions in medically important mosquito species. In total, 178 studies on six continents identified range expansions in 118 mosquito species. While over a third of these studies cited warming as a driver, fewer than 10% performed statistical tests of the role of climate. Instead, most expansions were linked to human-aided dispersal (e.g., trade, travel), land-use changes, and urbanization. Although several studies reported poleward or upward expansions consistent with climate warming, none demonstrated warm-edge contractions driven by rising temperatures, which are theoretically predicted in some settings. Rather than expanding into newly suitable areas, many expansions appear to be filling preexisting thermally suitable habitats. Our findings highlight the need for long-term mosquito monitoring, rigorous climate-attribution methods, and better documentation of confounding factors like land-use change and vector control efforts to disentangle climate-driven changes from other anthropogenic factors.
View details for DOI 10.1111/gcb.70551
View details for PubMedID 41074272
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Cost and Cost-Effectiveness of Treating Human Epidermal Growth Factor Receptor 2-Low Metastatic Breast Cancer.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
2025: JCO2401960
Abstract
Creating value-aligned treatment pathways in breast cancer requires understanding the cost and cost-effectiveness of new therapies. To address uncertainty in the optimal treatment sequence, we developed a decision model to assess the cost-effectiveness of various treatment sequences for patients with human epidermal growth factor receptor 2 (HER2)-low metastatic breast cancer who are eligible for trastuzumab deruxtecan (T-DXd) and sacituzumab govitecan (SG) under current US Food and Drug Administration labeling.We derived disease progression and therapy data from the Destiny-Breast04 trial and sourced cost and quality-of-life data from the published literature. Our simulation modeled 57-year-old women with HER2-low, endocrine refractory, and triple-negative metastatic breast cancer eligible for third-line treatment. We evaluated four sequences: chemotherapy (chemo) → chemo, T-DXd → chemo, chemo → T-DXd, and T-DXd → SG. Outcomes included quality-adjusted life years (QALYs), total lifetime costs (2020 US dollars [USD], 3% annual discount), and incremental cost-effectiveness ratios. Sequences that cost <$150,000 USD to gain an additional QALY were considered cost effective.Chemo → chemo has the lowest cost at $176,000 (USD) per patient and yields 0.82 QALYs. T-DXd → chemo costs $282,000 (USD) and yields 1.08 QALYs, with an incremental cost-effectiveness ratio of $408,000 (USD) per QALY gained. T-DXd → SG costs $304,000 (USD) and yields 1.09 QALYs, with an incremental cost-effectiveness ratio of $2,200,000 (USD) per QALY gained. Drug cost drives the cost differences between each strategy. For T-DXd → chemo to be cost effective at the $150,000 (USD) per QALY threshold, we estimate that a 41% price reduction for T-DXd is needed.At its current price, T-DXd is not cost effective for HER2-low metastatic breast cancer. Price reductions can make this drug cost effective. Optimal value-based sequencing in this patient population uses a single antibody-drug conjugate rather than back-to-back conjugates.
View details for DOI 10.1200/JCO-24-01960
View details for PubMedID 40397834
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A systematic review of climate-change driven range shifts in mosquito vectors.
bioRxiv : the preprint server for biology
2025
Abstract
As global temperatures rise, concerns about shifting mosquito ranges-and accompanying changes in the transmission of malaria, dengue, and other diseases-are mounting. However, systematic evidence for climate-driven changes in mosquito ranges remains limited. We conducted a systematic review of studies documenting expansions or contractions in medically important mosquito species. In total, 178 studies on six continents identified range expansions in 118 mosquito species. While over a third of these studies cited warming as a driver, fewer than 10% performed statistical tests of the role of climate. Instead, most expansions were linked to human-aided dispersal (e.g., trade, travel), land-use changes, and urbanization. Although several studies reported poleward or upward expansions consistent with climate warming, none demonstrated warm-edge contractions driven by rising temperatures, which are theoretically predicted in some settings. Rather than expanding into newly suitable areas, many expansions appear to be filling preexisting thermally suitable habitats. Our findings highlight the need for long-term mosquito monitoring, rigorous climate-attribution methods, and better documentation of confounding factors like land-use change and vector control efforts to disentangle climate-driven changes from other anthropogenic factors.
View details for DOI 10.1101/2025.03.25.645279
View details for PubMedID 40196676
View details for PubMedCentralID PMC11974840
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Feasibility and Methodology of a Pilot Free Blood Pressure Monitoring and Follow-Up Program at Two Free Clinics.
Journal of primary care & community health
2024; 15: 21501319241278836
Abstract
Hypertension affects approximately 1 in 2 adults in the US. Home blood pressure (BP) monitoring programs are effective in the diagnosis and management of hypertension. Free clinics serve as an integral safety net for millions of uninsured and economically disadvantaged patients in the US. The feasibility and effects of a free home BP monitoring and follow-up program in a free clinic setting is not well characterized.This was a prospective study of the implementation of a pilot BP monitoring and follow-up program between March 2021 and August 2023 at 2 free clinics in the San Francisco Bay Area. A total of 78 hypertensive patients were enrolled in the program and given a free BP monitor. We surveyed via telephone the change in systolic and diastolic BPs and BP monitor use and comfort at 3 weeks. Volunteers in clinic roles involved in the BP monitoring program were surveyed to assess their time spent and perceptions of the program.Of the 78 patients, 37 provided responses to the 3-week survey. A total of 36 of 37 (97%) patients reported using their BP monitor. A total of 35 patients reported using it at least once a week (95%), with the majority reporting at least four uses a week (68%). A total of 36 patients (97%) planned on continuing to use their BP monitor. At 3 weeks, the mean systolic and diastolic BP changed by -6.40 mmHg (95% CI, -10.8 to -2.01 mmHg; P = .00577) and -2.72 mmHg (95% CI, -5.62 to 0.188 mmHg; P = .0657), respectively. The time commitment for this program ranged from 130 ± 51 min for program leaders to 16 ± 14 min per week for patient-facing roles. All volunteer roles (patient-facing, phone follow-up, program leaders) expressed that they had a clear understanding of their responsibilities in the program (median 4 on Likert scale, IQR 3-5).Home BP monitoring and follow-up is feasible to implement in free clinics, resulting in high rates of patient engagement among respondents. Our findings suggest that home BP monitoring and follow-up programs may be beneficial in vulnerable patient populations.
View details for DOI 10.1177/21501319241278836
View details for PubMedID 39269685
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Extraction of Unstructured Electronic Health Records to Evaluate Glioblastoma Treatment Patterns.
JCO clinical cancer informatics
2024; 8: e2300091
Abstract
Data on lines of therapy (LOTs) for cancer treatment are important for clinical oncology research, but LOTs are not explicitly recorded in electronic health records (EHRs). We present an efficient approach for clinical data abstraction and a flexible algorithm to derive LOTs from EHR-based medication data on patients with glioblastoma multiforme (GBM).Nonclinicians were trained to abstract the diagnosis of GBM from EHRs, and their accuracy was compared with abstraction performed by clinicians. The resulting data were used to build a cohort of patients with confirmed GBM diagnosis. An algorithm was developed to derive LOTs using structured medication data, accounting for the addition and discontinuation of therapies and drug class. Descriptive statistics were calculated and time-to-next-treatment (TTNT) analysis was performed using the Kaplan-Meier method.Treating clinicians as the gold standard, nonclinicians abstracted GBM diagnosis with a sensitivity of 0.98, specificity 1.00, positive predictive value 1.00, and negative predictive value 0.90, suggesting that nonclinician abstraction of GBM diagnosis was comparable with clinician abstraction. Of 693 patients with a confirmed diagnosis of GBM, 246 patients contained structured information about the types of medications received. Of them, 165 (67.1%) received a first-line therapy (1L) of temozolomide, and the median TTNT from the start of 1L was 179 days.We described a workflow for extracting diagnosis of GBM and LOT from EHR data that combines nonclinician abstraction with algorithmic processing, demonstrating comparable accuracy with clinician abstraction and highlighting the potential for scalable and efficient EHR-based oncology research.
View details for DOI 10.1200/CCI.23.00091
View details for PubMedID 38857465
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Selective prediction for extracting unstructured clinical data.
Journal of the American Medical Informatics Association : JAMIA
2023
Abstract
While there are currently approaches to handle unstructured clinical data, such as manual abstraction and structured proxy variables, these methods may be time-consuming, not scalable, and imprecise. This article aims to determine whether selective prediction, which gives a model the option to abstain from generating a prediction, can improve the accuracy and efficiency of unstructured clinical data abstraction.We trained selective classifiers (logistic regression, random forest, support vector machine) to extract 5 variables from clinical notes: depression (n = 1563), glioblastoma (GBM, n = 659), rectal adenocarcinoma (DRA, n = 601), and abdominoperineal resection (APR, n = 601) and low anterior resection (LAR, n = 601) of adenocarcinoma. We varied the cost of false positives (FP), false negatives (FN), and abstained notes and measured total misclassification cost.The depression selective classifiers abstained on anywhere from 0% to 97% of notes, and the change in total misclassification cost ranged from -58% to 9%. Selective classifiers abstained on 5%-43% of notes across the GBM and colorectal cancer models. The GBM selective classifier abstained on 43% of notes, which led to improvements in sensitivity (0.94 to 0.96), specificity (0.79 to 0.96), PPV (0.89 to 0.98), and NPV (0.88 to 0.91) when compared to a non-selective classifier and when compared to structured proxy variables.We showed that selective classifiers outperformed both non-selective classifiers and structured proxy variables for extracting data from unstructured clinical notes.Selective prediction should be considered when abstaining is preferable to making an incorrect prediction.
View details for DOI 10.1093/jamia/ocad182
View details for PubMedID 37769323
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Cost-effectiveness of trastuzumab deruxtecan in HER2 low metastatic breast cancer
LIPPINCOTT WILLIAMS & WILKINS. 2023
View details for Web of Science ID 001053772000312
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Cost-effectiveness of trastuzumab deruxtecan in HER2 low metastatic breast cancer
LIPPINCOTT WILLIAMS & WILKINS. 2023
View details for DOI 10.1200/JCO.2023.41.16_suppl.1593
View details for Web of Science ID 001555528800005
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Affordable IgY-based antiviral prophylaxis for resource-limited settings to address epidemic and pandemic risks.
Journal of global health
2022; 12: 05009
Abstract
Background: The COVID-19 pandemic caused by SARS-CoV-2 exposed a global problem, as highly effective vaccines are challenging to produce and distribute, particularly in regions with limited resources and funding. As an alternative, immunoglobulins produced in eggs of immunized hens (IgY) can be a simple and inexpensive source for a topical and temporary prophylaxis. Here, we developed a method to extract and purify IgY antibodies from egg yolks of hens immunized against viral pathogen-derived proteins using low-cost, readily available materials, for use in resource-limited settings.Methods: Existing protocols for IgY purification and equipment were modified, including extraction from yolks and separation of water-soluble IgY using common household reagents and tools. A replacement for a commercial centrifuge was developed, using a home food processor equipped with a 3D printed adapter to enable IgY precipitation. IgY purification was verified using standard gel electrophoresis and Western blot analyses.Results: We developed a step-by-step protocol for IgY purification for two settings in low- and middle-income countries (LMIC): a local laboratory, where commercial centrifuges are available, or a more rural setting, where an alternative for expensive centrifuges can be used. Gel electrophoresis and Western blot analyses confirmed that the method produced highly enriched IgY preparation; each commercial egg produced~90 mg of IgY. We also designed a kit for IgY production in these two settings and provided a cost estimate of the kit.Conclusion: IgY purified from eggs of immunized local hens can offer a fast and affordable prophylaxis, provided that purification can be performed in a resource-limited setting. Here, we created a low-cost method that can be used anywhere where electricity is available using inexpensive, readily available materials in place of costly, specialized laboratory equipment and chemicals. This procedure can readily be used now to make an anti-SARS-CoV-2 prophylaxis in areas where vaccines are unavailable, and can be modified to combat future threats from viral epidemics and pandemics.
View details for DOI 10.7189/jogh.12.05009
View details for PubMedID 35265332
https://orcid.org/0009-0005-4327-0291