Publications by authors named "Nicole D Agaronnik"

Background/aims: People with disability have higher rates of cancer, excluding skin cancer, compared with people without disability. Food and Drug Administration draft guidelines from 2024 address use of performance status criteria to determine eligibility for clinical trials, advocating for less restrictive thresholds. We examined the exclusion of people with disability from clinical trials based on performance status and other criteria.

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Context: Efficiently tracking Advance Care Planning (ACP) documentation in electronic heath records (EHRs) is essential for quality improvement and research efforts. The use of large language models (LLMs) offers a novel approach to this task.

Objectives: To evaluate the ability of LLMs to identify ACP in EHRs for patients with advanced cancer and compare performance to gold-standard manual chart review and natural language processing (NLP).

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Low bone mineral density (BMD) can predispose to vertebral body compression fractures and postoperative instrumentation failure. DEXA is considered the gold standard for measurement of BMD, however it is not obtained for all spine surgery patients preoperatively. There is a growing body of evidence suggesting that more routinely acquired spine imaging studies such as computed tomography (CT) and magnetic resonance imaging (MRI) can be opportunistically used to measure BMD.

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Article Synopsis
  • The study evaluates the effectiveness of the American College of Surgeons Geriatric Surgery Verification (GSV) Program's preoperative communication standards in older patients undergoing high-risk spine surgery.
  • Using a natural language processing method, the researchers analyzed documentation from 1,294 patients aged 65 and older, revealing that only 0.8% had documentation meeting all GSV communication requirements.
  • The findings suggest a significant lack of adherence to GSV standards, particularly regarding overall health goals, indicating a need for improved communication practices in geriatric spine surgery.
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  • * A retrospective review of telemedicine encounters showed that 65.2% of 158 patients seeking arthroplasty were indicated for surgery, with factors like arthritis severity and previous treatments influencing surgical decisions.
  • * A machine learning algorithm was developed and performed well in predicting surgical candidates, potentially allowing for more efficient patient selection in the future if validated in wider contexts.
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Background: Osteochondromas are a relatively common primary bone tumor, which may share common clinical features with Osgood-Schlatter disease (OSD). A limited number of cases have described tumors misdiagnosed as OSD.

Case Presentation: We report the case of an 11-year-old male with a sessile osteochondroma of the tibial tubercle and concomitant involvement of the distal extension and attachment of the patellar tendon into the tibial periosteum.

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Article Synopsis
  • The study aimed to develop and validate a deep learning model to extract symptoms from clinical notes in electronic health records, which are important for cancer research and monitoring.
  • A total of 1,225 outpatient progress notes were analyzed, with 1,125 used for training the model and 100 for testing its accuracy, focusing on detecting 80 symptoms recognized by the National Cancer Institute.
  • The best-performing model, called ELECTRA-small, achieved a high accuracy in identifying symptoms, suggesting that deep learning can effectively support system-wide tracking of symptoms in cancer care.
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We sought to develop natural language processing (NLP) methods for automated detection and characterization of neuromonitoring documentation from free-text operative reports in patients undergoing spine surgery. We included 13,718 patients who received spine surgery at two tertiary academic medical centers between December 2000 - December 2020. We first validated a rule-based NLP method for identifying operative reports containing neuromonitoring documentation, comparing performance to standard administrative codes.

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Individuals living with disabilities are underrepresented in the physician workforce, despite benefits of inclusion. This article describes how both ableism in admissions processes and expectations set by technical standards can perpetuate harm. The authors advocate for active attention to disability diversity and equity in medical school admissions.

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More than thirty years since the enactment of the Americans with Disabilities Act (ADA), people with disability continue to experience health care disparities. The ADA mandates that patients with disability receive reasonable accommodations. In our survey of 714 US physicians in outpatient practices, 35.

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More than sixty-one million Americans have disabilities, and increasing evidence documents that they experience health care disparities. Although many factors likely contribute to these disparities, one little-studied but potential cause involves physicians' perceptions of people with disability. In our survey of 714 practicing US physicians nationwide, 82.

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Purpose: Approximately 13% of the US population report mobility disability. People with mobility disability experience healthcare disparities, including lower rates of cancer screening and substandard cancer care compared with nondisabled people. We explored clinicians' reports of aspects of diagnosing and treating three common cancer types among persons with pre-existing mobility disability.

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Background: Mobility disability is the most common disability among adult Americans, estimated at 13.7% of the US population. Cancer prevalence is higher among people with mobility disability compared with the general population, yet people with disability experience disparities in cancer screening and treatment.

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Introduction: Studies suggest that women with disability experience disparities in routine, high-value screening services, including mammograms and Papanicolaou (Pap) tests. However, few studies have explored whether women with disability have higher risks than other women of developing breast or cervical cancers.

Methods: The authors analyzed 2010, 2013, 2015, and 2018 National Health Interview Surveys, which involved civilian, noninstitutionalized US residents, and included supplemental surveys on cancer screening.

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Objective: We explored the process of cancer care for patients with preexisting mobility disability, focusing on treatment decisions and experiences.

Design: We recruited 20 participants with preexisting mobility disability, requiring use of an assistive device or assistance with activities of daily living, subsequently diagnosed with cancer (excluding skin cancers). We conducted open-ended individual interviews, which reached data saturation and were transcribed verbatim for conventional content analysis.

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Objective: Mobility disability affects approximately 13.7% of the United States population, representing the most common disability type. People with mobility disability experience disparities in cancer screening and higher prevalence of some cancers compared to the general population.

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Background: Approximately 61 million Americans have a disability. Little research has explored whether disability is associated with subsequent diagnosis of cancer, the second-leading cause of death in the United States. The objective of this study was to explore associations between cancer and disability, focusing on 4 cancers that may present with nonspecific symptoms that could be conflated with aspects of disability, thus delaying cancer diagnoses.

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Background: Given the growing population of U.S. adults with obesity and mobility disability, physicians will need to accommodate these patients.

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Objective: To assess the utility of applying natural language processing (NLP) to electronic health records (EHRs) to identify individuals with chronic mobility disability.

Design: We used EHRs from the Research Patient Data Repository, which contains EHRs from a large Massachusetts health care delivery system. This analysis was part of a larger study assessing the effects of disability on diagnosis of colorectal cancer.

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Disability civil rights laws require equitable treatment of the approximately sixty-one million Americans with disability. However, federal reports and numerous research studies indicate that this diverse and growing population often experiences health care disparities. To examine one possible contributing factor, we interviewed practicing physicians to explore their knowledge of their obligations to accommodate patients with disability under federal civil rights law.

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