Publications by authors named "C Goertz"

Recent unusual mortality events involving skin pathology in bearded (), ringed (), and spotted seals () in Alaska highlight the potential sensitivity of ice-associated species to the complex effects of climate change. The regulation of thyroid hormones, cortisol, and vitamin A have been shown to play essential roles in skin health and seasonal molt in some pinnipeds. Unfortunately, the lack of available reference data for healthy Alaskan ice seals has prevented the adequate evaluation of these factors in cases associated with mortality events.

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Objective: We evaluate change in low back pain (LBP) intensity and interference as the mechanism by which chiropractic care affects other biopsychosocial factors in US active-duty military members.

Design: We conducted secondary, exploratory mediation analysis of pragmatic, multisite, clinical trial (NCT01692275) post results using natural effect modeling. Mediators were the 6-week values of Patient-Reported Outcomes Measurement Information System (PROMIS)-29 pain interference and intensity.

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Article Synopsis
  • Chiropractors focus on diagnosing and treating musculoskeletal disorders, often using spinal manipulative therapy (SMT), with increased acceptance in the US since Medicare funded it in 1972.
  • A review of chiropractic research from 1972-2024 revealed over 6,000 articles, showing an upward trend in publication and a shift from historical topics to more clinical studies like randomized controlled trials.
  • Recent clinical practice guidelines (CPGs) have made 59 recommendations for SMT, mainly endorsing its use for low back pain (90% efficacy) and neck pain (100% efficacy), along with recent support for treating tension-type headaches.
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This study evaluates biopsychosocial factors as mediators of the effect of chiropractic care on low back pain (LBP) intensity and interference for active-duty military members. Data from a multi-site, pragmatic clinical trial comparing six weeks of chiropractic care plus usual medical care to usual medical care alone for 750 US active-duty military members with LBP were analyzed using natural-effect, multiple-mediator modeling. Mediation of the adjusted mean effect difference on 12-week outcomes of PROMIS-29 pain interference and intensity by 6-week mediators of other PROMIS-29 physical, mental, and social health subdomains was evaluated.

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Background Context: Low back pain (LBP) remains the leading cause of disability globally. In recent years, machine learning (ML) has emerged as a potentially useful tool to aid the diagnosis, management, and prognostication of LBP.

Purpose: In this review, we assess the scope of ML applications in the LBP literature and outline gaps and opportunities.

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