Readability and Information Quality in Cancer Information From a Free vs Paid Chatbot.

Importance: The mainstream use of chatbots requires a thorough investigation of their readability and quality of information. Objective: To identify readability and quality differences in information between a free and paywalled chatbot cancer-related responses, and to explore if more precise prompting can mitigate any observed differences. Design, Setting, and Participants: This cross-sectional study compared readability and information quality of a chatbot's free vs paywalled responses with Google Trends' top 5 search queries associated with breast, lung, prostate, colorectal, and skin cancers from January 1, 2021, to January 1, 2023. Data were extracted from the search tracker, and responses were produced by free and paywalled ChatGPT. Data were analyzed from December 20, 2023, to January 15, 2024. Exposures: Free vs paywalled chatbot outputs with and without prompt: "Explain the following at a sixth grade reading level: [nonprompted input]." Main Outcomes and Measures: The primary outcome measured the readability of a chatbot's responses using Flesch Reading Ease scores (0 [graduate reading level] to 100 [easy fifth grade reading level]). Secondary outcomes included assessing consumer health information quality with the validated DISCERN instrument (overall score from 1 [low quality] to 5 [high quality]) for each response. Scores were compared between the 2 chatbot models with and without prompting. Results: This study evaluated 100 chatbot responses. Nonprompted free chatbot responses had lower readability (median [IQR] Flesh Reading ease scores, 52.60 [44.54-61.46]) than nonprompted paywalled chatbot responses (62.48 [54.83-68.40]) (P < .05). However, prompting the free chatbot to reword responses at a sixth grade reading level was associated with increased reading ease scores than the paywalled chatbot nonprompted responses (median [IQR], 71.55 [68.20-78.99]) (P < .001). Prompting was associated with increases in reading ease in both free (median [IQR], 71.55 [68.20-78.99]; P < .001)and paywalled versions (median [IQR], 75.64 [70.53-81.12]; P < .001). There was no significant difference in overall DISCERN scores between the chatbot models, with and without prompting. Conclusions and Relevance: In this cross-sectional study, paying for the chatbot was found to provide easier-to-read responses, but prompting the free version of the chatbot was associated with increased response readability without changing information quality. Educating the public on how to prompt chatbots may help promote equitable access to health information.

Quality of Information About Kidney Stones from Artificial Intelligence Chatbots.

Introduction: Kidney stones are common and morbid conditions in the general population with a rising incidence globally. Previous studies show substantial limitations of online sources of information regarding prevention and treatment. The objective of this study was to examine the quality of information on kidney stones from artificial intelligence (AI) chatbots. Methods: The most common online searches about kidney stones from Google Trends and headers from the National Institute of Diabetes and Digestive and Kidney Diseases website were used as inputs to four AI chatbots (ChatGPT version 3.5, Perplexity, Chat Sonic, and Bing AI). Validated instruments were used to assess the quality (DISCERN instrument from 1 low to 5 high), understandability, and actionability (PEMAT, from 0% to 100%) of the chatbot outputs. In addition, we examined the reading level of the information and whether there was misinformation compared with guidelines (5 point Likert scale). Results: AI chatbots generally provided high-quality consumer health information (median DISCERN 4 out of 5) and did not include misinformation (median 1 out of 5). The median understandability was moderate (median 69.6%), and actionability was moderate to poor (median 40%). Responses were presented at an advanced reading level (11th grade; median Flesch-Kincaid score 11.3). Conclusions: AI chatbots provide generally accurate information on kidney stones and lack misinformation; however, it is not easily actionable and is presented above the recommended reading level for consumer health information.

Potential clinical applications of current and future oral forms of desmopressin (Review).

Desmopressin is a synthetic analogue of vasopressin and a selective vasopressin receptor 2 agonist. It was first synthesised in 1967 and utilised for its antidiuretic properties. It is also used in bleeding disorders to enhance clotting. Other potential uses of the drug have been reported. The present review aims to provide a broad overview of the literature on potential further uses of oral forms of desmopressin. Key therapeutic areas of interest were identified based on known physiological activities/targets of desmopressin or reports of an effect of desmopressin in the literature. The feasibility of adequate dosing with oral forms of the drug was also considered. Systematic literature searches were carried out using the silvi.ai software for the identified areas, and summaries of available papers were included in tables and discussed. The results of the searches showed that desmopressin has been investigated for its efficacy in a number of areas, including bleeding control, renal colic, the central nervous system and oncology. Evidence suggests that oral desmopressin may have the potential to be of clinical benefit for renal colic and bleeding control in particular. However, further research is needed to clarify its effect in these areas, including randomised controlled studies and studies specifically of oral formulations (and doses). Further research may also yield findings for cancer, cognition and overactive bladder.

How Well Do Artificial Intelligence Chatbots Respond to the Top Search Queries About Urological Malignancies?

Artificial intelligence (AI) chatbots are becoming a popular source of information but there are limited data on the quality of information on urological malignancies that they provide. Our objective was to characterize the quality of information and detect misinformation about prostate, bladder, kidney, and testicular cancers from four AI chatbots: ChatGPT, Perplexity, Chat Sonic, and Microsoft Bing AI. We used the top five search queries related to prostate, bladder, kidney, and testicular cancers according to Google Trends from January 2021 to January 2023 and input them into the AI chatbots. Responses were evaluated for quality, understandability, actionability, misinformation, and readability using published instruments. AI chatbot responses had moderate to high information quality (median DISCERN score 4 out of 5, range 2-5) and lacked misinformation. Understandability was moderate (median Patient Education Material Assessment Tool for Printable Materials [PEMAT-P] understandability 66.7%, range 44.4-90.9%) and actionability was moderate to poor (median PEMAT-P actionability 40%, range 0-40%The responses were written at a fairly difficult reading level. AI chatbots produce information that is generally accurate and of moderate to high quality in response to the top urological malignancy-related search queries, but the responses lack clear, actionable instructions and exceed the reading level recommended for consumer health information. PATIENT SUMMARY: Artificial intelligence chatbots produce information that is generally accurate and of moderately high quality in response to popular Google searches about urological cancers. However, their responses are fairly difficult to read, are moderately hard to understand, and lack clear instructions for users to act on.

Assessment of Artificial Intelligence Chatbot Responses to Top Searched Queries About Cancer.

Importance: Consumers are increasingly using artificial intelligence (AI) chatbots as a source of information. However, the quality of the cancer information generated by these chatbots has not yet been evaluated using validated instruments. Objective: To characterize the quality of information and presence of misinformation about skin, lung, breast, colorectal, and prostate cancers generated by 4 AI chatbots. Design, Setting, and Participants: This cross-sectional study assessed AI chatbots' text responses to the 5 most commonly searched queries related to the 5 most common cancers using validated instruments. Search data were extracted from the publicly available Google Trends platform and identical prompts were used to generate responses from 4 AI chatbots: ChatGPT version 3.5 (OpenAI), Perplexity (Perplexity.AI), Chatsonic (Writesonic), and Bing AI (Microsoft). Exposures: Google Trends' top 5 search queries related to skin, lung, breast, colorectal, and prostate cancer from January 1, 2021, to January 1, 2023, were input into 4 AI chatbots. Main Outcomes and Measures: The primary outcomes were the quality of consumer health information based on the validated DISCERN instrument (scores from 1 [low] to 5 [high] for quality of information) and the understandability and actionability of this information based on the understandability and actionability domains of the Patient Education Materials Assessment Tool (PEMAT) (scores of 0%-100%, with higher scores indicating a higher level of understandability and actionability). Secondary outcomes included misinformation scored using a 5-item Likert scale (scores from 1 [no misinformation] to 5 [high misinformation]) and readability assessed using the Flesch-Kincaid Grade Level readability score. Results: The analysis included 100 responses from 4 chatbots about the 5 most common search queries for skin, lung, breast, colorectal, and prostate cancer. The quality of text responses generated by the 4 AI chatbots was good (median [range] DISCERN score, 5 [2-5]) and no misinformation was identified. Understandability was moderate (median [range] PEMAT Understandability score, 66.7% [33.3%-90.1%]), and actionability was poor (median [range] PEMAT Actionability score, 20.0% [0%-40.0%]). The responses were written at the college level based on the Flesch-Kincaid Grade Level score. Conclusions and Relevance: Findings of this cross-sectional study suggest that AI chatbots generally produce accurate information for the top cancer-related search queries, but the responses are not readily actionable and are written at a college reading level. These limitations suggest that AI chatbots should be used supplementarily and not as a primary source for medical information.

Association between pregnancy and nocturia: A National Health and Nutrition Examination Survey analysis.

AIMS: This study aimed to determine the impact of pregnancy and pregnancy-associated characteristics on nocturia. METHODS: Using the National Health and Nutrition Examination Survey (NHANES) database from 2005/06 to 2017/18, we analyzed women who completed the "Reproductive Health" and "Kidney Conditions-Urology" questionnaires by sorting them into three groups: nulligravida, previously pregnant (nonpregnant with prior pregnancies), and currently pregnant. After excluding patients with pre-existing conditions impacting nocturia or with incomplete data, we weighed and matched the groups for age, race, BMI, and number of pregnancies. The relationships of nocturia to pregnancy in all groups and pregnancy-associated characteristics (gestational diabetes mellitus [GDM], history of multiple pregnancies, and trimesters of pregnancy) in currently pregnant women were assessed. RESULTS: Of 8330 women that indicated pregnancy status, 1544 women (age range: 20-44 years; 523 nulligravida, 498 previously pregnant, 523 currently pregnant women) were included in analysis. Currently, pregnant women had a higher prevalence of nocturia than previously pregnant and nulligravida women (56.4% vs. 22.5% vs. 16.1%, p < 0.001) and had the highest odds of nocturia (OR: 6.82, p < 0.001). GDM or history of multiple pregnancies showed no associations in currently pregnant women. Increasing trimesters were associated with nocturia, with the third trimester showing the highest odds (OR: 10.35, p < 0.001) and a greater average of nighttime voids than the first and second trimesters (2.40 ± 1.42 vs. 1.56 ± 1.31 and 1.88 ± 1.32, p < 0.001). CONCLUSIONS: The association noted between pregnancy and nocturia, which strengthened with increasing trimesters, demonstrates that nocturia can significantly impact quality of life and therefore must be addressed during pregnancy.

Impact of COVID-19 on Online Interest in Urologic Conditions: An Analysis of Google Trends.

Background With COVID-19 leading to several isolation measures for preventative care, health care utilization, especially within urology, decreased substantially. The impact of COVID-19 on the population's interests in urologic conditions remains to be established. By using the platform of Google Trends, which allows search behaviors and interest in healthcare topics to be quantified over time, we investigated the impact of COVID-19 on online search behaviors relating to common urologic conditions in the US. Methods The platform of Google Trends was utilized to analyze online interest in twelve common urologic conditions in the US from October 1, 2018 to August 1, 2021 (divided into "pre-COVID" and "COVID" periods at March 1, 2020). Search volume index (SVI), a measure of relative search volume on Google, data sets for the US, top queried and populated states, rising queries, and top queries were retrieved and analyzed for all conditions. Pre-COVID and COVID median SVIs were compared using the Mann Whitney U test, and correlations were analyzed using Spearman's rank-order correlation test. Results For all twelve urologic conditions, rising and top queries were often related to symptoms, treatments, and COVID-19. COVID showed higher SVIs for erectile dysfunction (p=0.04) and lower SVIs for bladder cancer (p<0.01), hematuria (p<0.01), kidney cancer (p<0.01), kidney stones (p=0.03), and prostate cancer (p<0.01). Correlations to COVID-19 searches were seen for bladder cancer (RS=-0.36, p<0.01), erectile dysfunction (RS=0.20, p=0.04), hematuria (RS=-0.31, p<0.01), overactive bladder (RS=-0.23, p=0.04), and prostate cancer (RS=-0.33, p<0.01). No correlations were found for benign prostatic hyperplasia, interstitial cystitis, low testosterone, urinary incontinence, and urinary tract infections. Conclusions Online interest in many urologic conditions, especially cancers, decreased during COVID. Given the internet's increasing role in healthcare, a reduced interest could translate to delayed diagnosis and treatment of these conditions. Only erectile dysfunction showed increasing interest, potentially due to research or misinformation linking it to COVID-19.

Time of peak nocturnal diuresis rate between men with secondary nocturnal polyuria versus nocturnal polyuria syndrome.

AIM: Compare the circadian trajectory of diuresis between nocturnal polyuria (NP) patients with versus without identifiable contributory comorbidities. METHODS: Retrospective analysis of frequency-volume charts from male patients with clinically-significant nocturia (≥2 nocturnal voids) and NP (defined by nocturnal urine production [NUP] ≥90 mL/hour or nocturnal polyuria index [NPi] ≥0.33). Patients with NP and chronic kidney disease, congestive heart failure, and/or undertreated obstructive sleep apnea (OSA) were deemed to have secondary NP. Nocturnal polyuria syndrome (NPS) was defined as NP without edema, loop diuretic use, or the aforementioned conditions. Patients with diabetes insipidus or OSA with appropriate continuous positive airway pressure utilization were excluded. The timing and volumes of nocturnal voids were used to derive "early" and "late" nocturnal diuresis rates (mL/hour of urine produced before and after the first nocturnal awakening, respectively). The likelihood of an early peak nocturnal diuresis rate (ie, early >late nocturnal diuresis rate) was compared between patients with NPS versus secondary NP using both a crude and adjusted odds ratio. RESULTS: The likelihood of an early peak nocturnal diuresis rate in patients with NPS compared with secondary NP was 2.58 (1.05-6.31) at NUP ≥ 90 mL/hour and 1.96 (0.87-4.42) at NPi ≥ 0.33 on crude analysis, and 2.44 (0.96-6.24) and 1.93 (0.83-4.48) after adjustment, respectively. CONCLUSIONS: A peak early nocturnal diuresis rate was significantly more likely in patients with NPS at NUP ≥ 90 mL/hour, with similar odds ratios at NPi ≥ 0.33 and following adjustment. Delineating nocturic patients by NP subgroup may facilitate more individualized management. PATIENT SUMMARY: Many people have to wake up to urinate because they produce too much urine at night-a condition known as "nocturnal polyuria." Nocturnal polyuria might be caused by drinking too much fluid, other behavioral factors, or conditions that make your body hold on to too much fluid, like heart disease, kidney disease, and sleep apnea. In cases of nocturnal polyuria where no clear cause can be identified, it is thought that patients may suffer from a deficiency in nighttime vasopressin, a hormone that plays a key role in how much urine you produce. In this study, we compared the pattern of nighttime urine production in patients with different causes of nocturnal polyuria, which may lead to more personalized treatment options for patients with this condition.

Kidney Stone Recurrence among Children and Adolescents.

PURPOSE: Kidney stone disease has become increasingly common during childhood and adolescence. However, the rate of symptomatic kidney stone recurrence for pediatric patients is uncertain. We sought to determine the recurrence rate of symptomatic kidney stones in a cohort of children with incident symptomatic nephrolithiasis. MATERIALS AND METHODS: We performed a retrospective cohort study of patients 3 to 18 years old without anatomical abnormalities or genetic causes of nephrolithiasis who presented with a first symptomatic kidney stone between 2008 and 2014. We determined recurrence rates of symptomatic nephrolithiasis, defined as a new kidney stone on ultrasound and/or computerized tomogram associated with pain and/or vomiting. We also estimated associations between completing 24-hour urinalysis and symptomatic kidney stone recurrence using Kaplan-Meier curves and multivariable Cox regression models. RESULTS: A total of 285 children with a median age of 14.8 years (IQR 11.3-16.6) at nephrolithiasis diagnosis were followed for 492 person-years. A total of 86 symptomatic recurrent stones developed in 68 patients (24%) during the followup period. The probability of symptomatic stone recurrence was 50% at 3 years after the index kidney stone. Median time to stone recurrence was 3 years at the first recurrence and 5 years at the second. Adjusting for confounders including adherence to followup, completing a 24-hour urinalysis after a kidney stone episode was associated with a 60% decreased risk of recurrence (hazard ratio 0.40, 95% CI 0.18-0.91). CONCLUSIONS: The risk of kidney stone recurrence is high during childhood, with approximately 50% of children presenting with symptomatic recurrence within 3 years of the first stone. The role and usefulness of analyzing 24-hour urine chemistries in decreasing kidney stone recurrence should be explored in future prospective studies.

Surgical Considerations for the Geriatric Urology Patient.

INTRODUCTION: As the number of geriatric patients continues to increase, urologists will encounter more elderly patients who require counseling about medical or surgical management of their conditions. In this review we provide a practical pathway for the elderly patient being considered for urological surgery. METHODS: Our review includes preoperative evaluation and assessment for cognition, frailty, functional status, falls, cardiovascular and pulmonary status, and nutritional state. RESULTS: Intraoperative concerns include operative procedure choice (with minimally invasive approaches emphasized), positioning, hypothermia, and antibiotic and venous thromboembolism prophylaxis. Postoperative attention requires assessment for delirium, early ambulation, fall prevention, lung expansion, avoidance of nasogastric tubes, early oral feeding and adequate but age adjusted pain control. Appropriate discharge from the hospital must follow, with planning started in the preoperative phase. CONCLUSIONS: Special attention to these adjustments in the operative pathway lead to high operative success rates with a lower risk of complications.

The presence of high-grade prostatic intraepithelial neoplasia or atypia on prostate biopsy does not adversely affect prostatectomy outcomes for patients otherwise eligible for active surveillance.

OBJECTIVE: To investigate if the presence of concomitant high-grade prostatic intraepithelial neoplasia (HGPIN) or atypical small acinar proliferation (ASAP) on biopsy increases the risk of occult adverse pathology in patients otherwise suitable for active surveillance (AS). METHODS: Patients with D'Amico low-risk prostate cancer on ≥ 10-core biopsy who underwent radical prostatectomy at our academic center were evaluated for eligibility for AS by either Epstein criteria or Memorial Sloan Kettering Cancer Center (MSKCC) criteria. Prostatectomy specimens of patients eligible for AS were compared to determine if the presence of clinical HGPIN or ASAP affected the primary outcomes of pathologic upstaging and Gleason score upgrading. RESULTS: Of 553 patients with low-risk prostate cancer, 400 patients (72.3%) met the MSKCC criteria, whereas only 170 patients (30.7%) met the Epstein criteria. HGPIN was present in approximately 32%, and ASAP in approximately 12%, of each AS cohort. On univariate and multivariate analyses, HGPIN and ASAP had no impact on the rate of upgrading and upstaging in either Epstein or MSKCC AS-eligible patients. Furthermore, the presence of HGPIN and ASAP had no impact on the 5-year biochemical recurrence-free survival. CONCLUSION: The presence of HGPIN or ASAP does not increase the risk of upgrading, upstaging, or adverse pathology at the time of prostatectomy for patients who meet the AS criteria. If otherwise suitable, HGPIN and ASAP should not impact the decision to choose AS. However, analysis of prospective AS trials is required to determine if HGPIN or ASAP impacts tumor progression once on AS.

Prostate Stromal Tumor of Uncertain Malignant Potential: Case Report With 5-Year Follow-up.

Prostate stromal tumor of uncertain malignant potential is a term used to describe a specialized proliferation of stromal cells within the prostate. Most of these tumors tend to be benign, but some can present with local invasion or progress to prostatic stromal sarcoma with distant metastasis. We report a case of a 62-year-old male patient who presented to us with a diagnosis of stromal tumor of uncertain malignant potential. We have followed up the patient for 5 years with imaging, prostate-specific antigen checks, and annual prostate biopsies.

Spontaneous Urinary Bladder Perforation: An Unusual Presentation of Diabetes Mellitus.

Spontaneous urinary bladder perforation is a rare event, which requires immediate medical attention due to its extremely high morbidity and mortality. We report a case of a 36-year-old man who presented with acute-onset abdominal pain without any inciting events. His glucose level at the time of presentation was 1107 mg/dL. On initial abdominal imaging, it was believed that he had a large pelvic mass likely originating from the bladder. On further workup at our hospital, it was discovered that he had an intraperitoneal perforation after which he underwent an exploratory laparotomy and a cystorrhaphy.

Simple, age-based formula for predicting renal length in children.

OBJECTIVE: To determine a simple, age based formula for predicting ideal renal length in children. Renal size is a valuable marker in the evaluation of children with urological disorders. Although many authors have described complex nomograms and multivariate formulas for determining renal size, we propose a simple and accurate formula. MATERIAL AND METHODS: All renal ultrasound (US) studies performed over a 9-year period in patients <18 years of age were retrospectively evaluated, excluding patients with a history of urinary tract disease or with abnormal renal US findings. RESULTS: Ultrasounds were performed in 778 children <18 years who met inclusion criteria. Sixty-one percent of the patient population was ≥1 year of age at the time of the US. Forty-four percent of the children were male. In children 1 year of age or older, the formula was length (cm) = age (years) × 0.3 + 6, R(2) = .81. In infants younger than 1 year, renal length was poorly estimated by a simple age-based formula. CONCLUSION: Our proposed formula can be used to predict renal length in children older than 1 year.