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Nevin Manimala Statistics

Research progress on correlative prediction factors and prediction models of endometriosis associated ovarian carcinoma

Medicine (Baltimore). 2024 Oct 18;103(42):e40131. doi: 10.1097/MD.0000000000040131.

ABSTRACT

BACKGROUND: Endometriosis is a common benign disease in women of childbearing age, with a malignant change rate of about 1%. Endometriosis associated ovarian cancer (EAOC), which usually occurs in the ovaries, is a serious threat to women’s health. Early identification of high-risk groups of EMs malignant transformation is of great significance for the prevention and treatment of EAOC. However, there is still a lack of specific and sensitive prediction factors. In recent years, scholars at home and abroad have used traditional statistical methods and machine learning to explore EAOC related prediction factors and prediction models. This paper mainly reviews and evaluates the diagnosis and prediction model of EAOC.

METHODS: Studies were identified by searching the CNKI, PubMed and Web of Science Core Collection, (WOSCC) till 2023, Data which met the inclusion criteria of clinical studies were evaluated about the quality. This paper analyzes and summarizes the prediction factors and prediction models in the literature.

RESULTS: After screening, 7 relevant studies were finally obtained. Prediction factors included: age, menstruation, menopausal status, course of disease, infertility associated with endometriosis, history of single estrogen use during menopause, serological indexes: human epididymis protein 4, carbohydrate antigen 125(CA125), ovarian malignancy risk algorithm, indications for ultrasound examination: cyst shape, structure and blood flow signal, etc. Prediction models: Alignment diagram, Multivariate logistic regression model, Gail model, Gradient Boosting Decision Tree and Lasso-logistics regression.

CONCLUSION: Related models were in good agreement with the actual situation, and have good sensitivity and specificity. The relevant prediction factors and prediction models were summarized to provide reference and new thinking for the research of prediction models in the field of EAOC, in order to develop standardized long-term management strategies for high-risk groups of EAOC and realize the advance of the diagnosis threshold of patients with EAOC.

PMID:39432664 | DOI:10.1097/MD.0000000000040131

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Nevin Manimala Statistics

Combined detection of serum adiponectin and pregnancy-associated plasma protein A for early prediction of gestational diabetes mellitus

Medicine (Baltimore). 2024 Oct 18;103(42):e40091. doi: 10.1097/MD.0000000000040091.

ABSTRACT

Early diagnosis of gestational diabetes mellitus (GDM) reduces the risk of adverse perinatal and maternal outcomes. At present, the value of serum adiponectin (ADP) and pregnancy-associated plasma protein A (PAPP-A) in clinical practice for the diagnosis of GDM in early pregnancy is unclear. To investigate the predictive value of serum ADP and PAPP-A in GDM. The electronic medical record data of all pregnant women from Zhongshan People’s Hospital from 2018 to 2021 were retrospectively collected and divided into GDM group and control group according to whether GDM occurred. ADP and PAPP-A levels of the 2 groups were detected in early pregnancy, and the related factors of GDM were analyzed by binary logistic regression analysis. Receiver operating characteristic (ROC) curves of ADP and PAPP-A in predicting GDM in the early pregnancy were plotted and their clinical predictive value was analyzed. The significance level for all statistical tests is 0.05. Compared with the non-GDM group, the ADP of the GDM group was significantly lower than that of the non-GDM group [(8.19 ± 2.24) vs. (10.04 ± 2.73)]mg/L, the difference between groups was statistically significant (P < .05), and the multiple of median (MoM) of PAPP-A was significantly lower than that of the non-GDM group (1.13 ± 0.52) versus (1.45 ± 0.61) (P < .05). Binary logistic regression analysis showed that elevated serum ADP and PAPP-A levels were negatively correlated with the subsequent development of GDM [odds ratio (OR) 95% confidence interval (95% CI)] was 0.626 (0.536, 0.816), 0.934 (0.908, 0.961), respectively, P < .05.ROC curve analysis showed that the sensitivity and specificity of ADP and PAPP-A in predicting gestational diabetes were79.1% and 58.6%, respectively, 92.7% and 73.1%, and respectively. The area under curve (AUC) is 0.755 for ADP and 0.770 for PAPP-A. The AUC of the combined detection was 0.867, both of which were higher than that of single index diagnosis, and the sensitivity and specificity of the combined detection were 0.958 and 0.853, respectively. In summary, PAPP-A and ADP levels are independent related factors affecting the occurrence of GDM. The combined detection of PAPP-A and ADP should be utilized in diagnosing GDM to improve pregnancy outcomes for pregnant women.

PMID:39432661 | DOI:10.1097/MD.0000000000040091

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Nevin Manimala Statistics

The mediating impact of exercise frequency and duration on the relationship between digital health literacy and health among older adults: A cross-sectional study

Medicine (Baltimore). 2024 Oct 18;103(42):e39877. doi: 10.1097/MD.0000000000039877.

ABSTRACT

Although several studies have discussed the relationships among digital health literacy, health, and exercise behavior, few have integrated these 3 factors into a single model. This study aims to address this research gap. This article aims to analyze the impact of digital health literacy on the health of older adults, as well as the mediating mechanisms related to exercise frequency and duration. A cross-sectional survey was conducted in Luoyang and Zhengzhou urban areas from December 2023 to January 2024. Utilizing random sampling methods, data were collected from 661 older adults through the “digital health literacy scale,” “health scale,” and “count of exercise duration and frequency” questionnaires. The data were processed by employing SPSS 20 and Process, v3.0, and analyzed through independent samples t test, 1-way ANOVA (F-test), and mediation testing methods. The results indicate that no statistical significance (P > .05) is observed in terms of the 3 dimensions of digital health literacy, exercise behavior, and health status among older adults with different genders, living conditions, educational backgrounds, and economic status. In contrast, statistical significance (P < .05) is observed in terms of exercise frequency and health status among older adults with varying levels of smoking and drinking. The 3 dimensions of digital health literacy among older adults statistically impact (P < .05) their exercise duration, frequency, and health. The dimension of access and assessment exerts the most significant influence on exercise duration (β = 0.415) and a considerable impact on health (β = 0.214). Furthermore, the impact of exercise duration and frequency on health status is statistically significant (P < .05). In terms of the interactive capability dimension, exercise frequency exerts the most significant influence (β = 0.199). Digital health literacy has a significant impact on the health of older adults. The duration and frequency of exercise play a partial mediating role between older adults’ digital health literacy and their physical health status. Digital health literacy can encourage older adults to increase the duration and frequency of exercise, which, in turn, promotes their physical health.

PMID:39432656 | DOI:10.1097/MD.0000000000039877

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Nevin Manimala Statistics

Impact analysis of the driver’s license-type scoring system in the quality management of hospital medical records: An observational study

Medicine (Baltimore). 2024 Oct 18;103(42):e40101. doi: 10.1097/MD.0000000000040101.

ABSTRACT

The purpose of this study was to analyze the impact of implementing a driver’s license-type scoring system on the quality management of hospital medical records. We collected relevant medical record quality control data before (from April to November 2021) and after (from April to November 2022) the use of the driver’s license-type scoring management in the medical record quality management of a Grade-A tertiary general hospital in a prefecture-level city (“R Hospital” for short). We evaluated the impact by statistically analyzing the data using the χ2 test and t test with the SPSSAU online statistical analysis software. Compared with before the implementation of the new system, the filling rate of discharge medical records within 2 days, logical rate of day diagnosis and treatment medical records, logical rate of day surgery medical records, and clinical tumor-node-metastasis staging evaluation rate before tumor treatment significantly increased, and the difference was statistically significant (P < .05); the rate of errors or omissions on the first page of inpatient medical records significantly decreased, and the difference between before and after implementation of the new system was statistically significant (P < .05). We found that the driver’s license-type scoring management adapted for use in the quality management of hospital medical records was effective in regulating the medical record writing behavior of physicians and improved the quality of medical records, thus meriting wide promotion.

PMID:39432653 | DOI:10.1097/MD.0000000000040101

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Nevin Manimala Statistics

Efficacy and safety of different oral anticoagulants for stroke prevention in older patients with atrial fibrillation: A network meta-analysis

Medicine (Baltimore). 2024 Oct 18;103(42):e39937. doi: 10.1097/MD.0000000000039937.

ABSTRACT

BACKGROUND: Various oral anticoagulants have been used for stroke prevention in older patients with atrial fibrillation (AF). However, the optimal anticoagulants for stroke prevention has not yet been developed. We performed a systematic review and network meta-analysis to determine the optimal instructions.

METHODS: We searched for randomized controlled trials (RCTs) from PubMed, Embase, and the Cochrane Library without restriction for publication date or language at January 2024. Any RCTs that compared the effectiveness of a direct oral anticoagulant and a vitamin K antagonist (VKA) for stroke prevention in older patients with AF were included in this network meta-analysis. The Bayesian network meta-analysis used a random effects model and surface under the cumulative ranking curve analysis to rank results. All analyses were done using R software with gemtc package, with statistical significance set at P < .05.

RESULTS: We included 7 RCTs (79,003 patients) comparing 8 different instructions including Apixaban 5 mg, Dabigatran 110 mg, Dabigatran 150 mg, Edoxaban 30 mg, Edoxaban 60 mg, Rivaroxaban 15 mg, Rivaroxaban 20 mg, and VKA. Apixaban 5 mg, Dabigatran 110 mg, and Dabigatran 150 mg was more effective than the VKA for reducing stroke or systemic embolism risks, and the difference was statistically significant (P < .05). Apixaban 5 mg, Dabigatran 110 mg, Dabigatran 150 mg, Edoxaban 30 mg, and Edoxaban 60 mg was associated with a reduction of the intracranial hemorrhage rate than the VKA (P < .05). The surface under the cumulative ranking curve shows that Dabigatran 110 mg ranked first for reducing stroke or systemic embolism risks. Edoxaban 60 mg ranked first for major bleeding. Dabigatran 110 mg ranked first for intracranial hemorrhage. Apixaban 5 mg ranked first for all bleeding events.

CONCLUSIONS: Direct oral anticoagulants were found to have lower rates of thromboembolic events compared to VKAs in older patients with AF. Apixaban 5 mg, Dabigatran 110 mg, Dabigatran 150 mg, Edoxaban 30 mg, and Edoxaban 60 mg were also associated with a reduction of intracranial hemorrhage than VKA.

PMID:39432641 | DOI:10.1097/MD.0000000000039937

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Nevin Manimala Statistics

Causal relationship between uric acid and stroke: a two-sample mendelian randomization study

Medicine (Baltimore). 2024 Oct 18;103(42):e39591. doi: 10.1097/MD.0000000000039591.

ABSTRACT

Many previous observational studies have disputed whether there is a link between uric acid and stroke. And the causal relationship between uric acid and stroke is unclear. To determine whether there is a causal relationship between uric acid and stroke by using mendelian randomization (MR). Uric acid dataset was obtained from Anna Kottgen et al, with a sample size of 110,347 people, including 2450,548 single nucleotide polymorphisms (SNPs). Stroke pooled data from Malik R et al, publicly available in MEGASTROKE genome-wide association study, included meta-analysis data from 40,585 stroke patients and 406,111 control patients, totaling 8211,693 SNPs. The summary data of genome-wide association study of uric acid and stroke were collected from publicly available online databases. Inverse variance weighting was used to determine the causal relationship between uric acid and stroke. MR-Egger and weighted median model were used for supplementary analysis. Results were then analyzed for heterogeneity, pleiotropy, and sensitivity to ensure no statistical pleiotropy and to reduce bias. A total of 27 SNPs were included in this study after the disequilibrium instrumental variables were excluded. Check the PhenoScanner database for SNPs associated with confounders. In the end, a total of 8 SNPs were excluded. Two SNPs were excluded because the correction direction was the same. Since the F statistic is >10, rs10761587 and rs1825043 are excluded. Finally, 15 SNPs were selected as uric acid instrumental variables. Inverse variance weighting-fixed effect model suggested that there was no causal relationship between uric acid and stroke (odds ratio = 1.004, 95% confidence interval = 0.940, 1.072). MR-Egger and weighted median model also showed the same result. In addition, the results of this study were robust without heterogeneity and pleiotropy. This MR study suggests no support of a causal relationship between uric acid and stroke.

PMID:39432637 | DOI:10.1097/MD.0000000000039591

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Nevin Manimala Statistics

Hematopoietic stem cell transplantation therapy for refractory’ Crohn disease: A systematic review and meta-analysis

Medicine (Baltimore). 2024 Oct 18;103(42):e40144. doi: 10.1097/MD.0000000000040144.

ABSTRACT

BACKGROUND: Despite the availability of numerous treatments for Crohn disease, there are patients who do not respond to any therapy, thereby diminishing their quality of life. The aim of this review is to analyze the efficacy and safety of autologous hematopoietic stem cell transplantation therapy for refractory Crohn disease.

METHODS: This work is a systematic review with meta-analysis conducted in accordance with the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analyses. Electronic databases such as PubMed, Scopus, Web of Science, and ClinicalTrials were consulted. The searches were carried out in August 2024. To evaluate the efficacy of autologous hematopoietic stem cell transplantation in inducing remission, the mean and standard deviation of the Crohn’s Disease Activity Index pre- and post- treatment were used, and a fixed-effects meta-analysis was conducted. Additionally, to assess the efficacy in perianal fistulas, a random-effects meta-analysis was performed, collecting data on the number of subjects with fistulas at the beginning and end of the intervention. All 95% confidence intervals were calculated, and the I2 statistic was used to assess the heterogeneity of the outcome variables.

RESULTS: A total of 609 records were identified from databases, with 12 studies selected for inclusion in the review. Immediate intervention proved effective in inducing a decrease in the Crohn Disease Activity Index compared to late intervention with conventional therapies. Moreover, the meta-analysis demonstrated efficacy for Crohn disease and associated fistulas with a mean decrease in the CDAI of -217.53 ± 14.3. When evaluating the efficacy of the procedure in perianal fistulas, a risk ratio of 0.47 with a 95% CI of [0.26, 0.86] was obtained. However, the procedure showed adverse effects, such as infections, acute renal failure or deaths.

CONCLUSION: Systemic autologous hematopoietic stem cell transplantation has shown efficacy in patients who fail to achieve remission of their Crohn disease with conventional therapies. This procedure has also demonstrated efficacy in treating perianal fistulas. However, it is essential to carefully evaluate de implementation of this procedure due to the associated risks.

PMID:39432634 | DOI:10.1097/MD.0000000000040144

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Nevin Manimala Statistics

Accessibility, Cost, and Quality of an Online Regular Follow-Up Visit Service at an Internet Hospital in China: Mixed Methods Study

J Med Internet Res. 2024 Oct 21;26:e54902. doi: 10.2196/54902.

ABSTRACT

BACKGROUND: Telemedicine provides remote health care services to overcome constraints of time and space in accessing medical care. Similarly, internet hospitals in China support and provide remote health care services. Due to the COVID-19 pandemic, there has been a proliferation of internet hospitals. Many new services, including online consultations and regular online follow-up visit services, can now be accessed via internet hospitals in China. However, the accessibility, cost, and quality advantages of regular online follow-up visit services remain unclear.

OBJECTIVE: This study aimed to evaluate the accessibility, costs, and quality of an online regular follow-up visit service provided by an internet hospital in China. By analyzing the accessibility, costs, and quality of this service from the supply and demand sides, we can summarize the practical and theoretical experiences.

METHODS: A mixed methods study was conducted using clinical records from 18,473 patients receiving 39,239 online regular follow-up visit services at an internet hospital in 2021, as well as interviews with 7 physicians, 2 head nurses, and 3 administrative staff members. The quantitative analysis examined patient demographics, diagnoses, prescriptions, geographic distribution, physician characteristics, accessibility (travel time and costs), and service hours. The qualitative analysis elucidated physician perspectives on ensuring the quality of online health care.

RESULTS: Patients were predominantly middle-aged men with chronic diseases like viral hepatitis who were located near the hospital. The vast majority were from Guangdong province where the hospital is based, especially concentrated in Guangzhou city. The online regular follow-up visit service reduced travel time by 1 hour to 9 hours and costs by ¥6 to ¥991 (US $0.86-$141.32) depending on proximity, with greater savings for patients farther from the hospital. Consultation times were roughly equivalent between online and in-person visits. Physicians provided most online services during lunch breaks (12 PM to 2 PM) or after work hours (7 PM to 11 PM), indicating increased workload. The top departments providing online regular follow-up visit services were Infectious Diseases, Rheumatology, and Dermatology. The most commonly prescribed medications aligned with the prevalent chronic diagnoses. To ensure quality, physicians conducted initial in-person consultations to fully evaluate patients before allowing online regular follow-up visits, during which they communicated with patients to assess conditions and determine if in-person care was warranted. They also periodically reminded patients to come in person for more comprehensive evaluations. However, they acknowledged online visits cannot fully replace face-to-face care.

CONCLUSIONS: Telemedicine services such as online regular follow-up visit services provided by internet hospitals must strictly adhere to fundamental medical principles of diagnosis, prescription, and treatment. For patients with chronic diseases, online regular follow-up visit services improve accessibility and reduce cost but cannot fully replace in-person evaluations. Physicians leverage various strategies to ensure the quality of online care.

PMID:39432365 | DOI:10.2196/54902

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Nevin Manimala Statistics

Bouncing back from life’s perturbations: Formalizing psychological resilience from a complex systems perspective

Psychol Rev. 2024 Oct 21. doi: 10.1037/rev0000497. Online ahead of print.

ABSTRACT

Experiencing stressful or traumatic events can lead to a range of responses, from mild disruptions to severe and persistent mental health issues. Understanding the various trajectories of response to adversity is crucial for developing effective interventions and support systems. Researchers have identified four commonly observed response trajectories to adversity, from which the resilient is the most common one. Resilience refers to the maintenance of healthy psychological functioning despite facing adversity. However, it remains an open question how to understand and anticipate resilience, due to its dynamic and multifactorial nature. This article presents a novel formalized framework to conceptualize resilience from a complex systems perspective. We use the network theory of psychopathology, which states that mental disorders are self-sustaining endpoints of direct symptom-symptom interactions organized in a network system. The internal structure of the network determines the most likely trajectory of symptom development. We introduce the resilience quadrant, which organizes the state of symptom networks on two domains: (1) healthy versus dysfunctional and (2) stable versus unstable. The quadrant captures the four commonly observed response trajectories to adversity along those dimensions: resilient trajectories in the face of adversity, as well as persistent symptoms despite treatment interventions. Subsequently, an empirical illustration, by means of a proof-of-principle, shows how simulated observations from four different network architectures lead to the four commonly observed responses to adversity. As such, we present a novel outlook on resilience by combining existing statistical symptom network models with simulation techniques. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:39432353 | DOI:10.1037/rev0000497

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A review of general cognitive-behavioral programs in English and Welsh prisons and probation services: Three decades of quasi-experimental evaluations

Am Psychol. 2024 Oct 21. doi: 10.1037/amp0001405. Online ahead of print.

ABSTRACT

For over 30 years, general cognitive-behavioral programs have contributed to the rehabilitation services offered within His Majesty’s Prison and Probation Service in England and Wales. There is an extensive body of international evidence that demonstrates the effectiveness of such interventions as a correctional strategy. However, there is widespread variability of program effects associated with the standards of implementation. Over the last 3 decades, British researchers have produced a steady output of quasi-experimental program evaluations that have contributed to the evidence base. The most recent additions are some of the largest and most rigorous available worldwide. This review documents those evaluations and provides a meta-analysis that statistically aggregates the effects of programs delivered in His Majesty’s prisons in England and Wales. We suggest there is sufficient evidence from evaluations of acceptable scientific rigor to conclude that general cognitive-behavioral programs delivered in prisons during the last decade and a half (circa 2006 to 2019) have had a small statistically significant mean reductive effect on general reoffending (odds ratio = 0.91). Program characteristics and implementation factors, including program dose, the scale of service delivery and program integrity, are discussed as possible factors associated with the size of the effect. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

PMID:39432335 | DOI:10.1037/amp0001405