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Nevin Manimala Statistics

Google star ratings of Canadian hospitals: a nationwide cross-sectional analysis

BMJ Open Qual. 2024 Jul 22;13(3):e002713. doi: 10.1136/bmjoq-2023-002713.

ABSTRACT

BACKGROUND: Data on patients’ self-reported hospital experience can help guide quality improvement. Traditional patient survey programmes are resource intensive, and results are not always publicly accessible. Unsolicited online hospital reviews are an alternative data source; however, the nature of online reviews for Canadian hospitals is unknown.

METHODS: We conducted a nationwide cross-sectional study of Canadian acute care hospitals with more than 10 Google Reviews during the 2018-2019 fiscal year. We characterised the volume and distribution of Google Reviews of Canadian hospitals, and assessed their correlation with hospital characteristics (teaching status, size, occupancy rate, length of stay, resource utilisation) and Canadian Patient Experience Survey on Inpatient Care (CPES-IC) scores.

RESULTS: 167 out of 523 (31.9%) acute care hospitals in Canada met the inclusion criteria. Among included hospitals, there was a total of 10 395 Google Reviews and a median of 35 reviews per hospital. The mean Google Star Rating for included hospitals was 2.85 out of 5, with a range of 1.36-4.57. Teaching hospitals had significantly higher mean Google Star Ratings compared with non-teaching hospitals (3.16 vs 2.81, p <0.01). There was a weak, positive correlation between hospitals’ Google Star Ratings and CPES-IC ‘Overall Hospital Experience’ scores (p =0.04), but no significant correlation between Google Star Ratings and other hospital characteristics or subcategories of CPES-IC scores.

INTERPRETATION: There is significant interhospital variation in patients’ self-reported care experiences at Canadian acute care hospitals. Online reviews can serve as a readily accessible source of real-time data for hospitals to monitor and improve the patient experience.

PMID:39038856 | DOI:10.1136/bmjoq-2023-002713

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Nevin Manimala Statistics

Global compositional and functional states of the human gut microbiome in health and disease

Genome Res. 2024 Jul 22. doi: 10.1101/gr.278637.123. Online ahead of print.

ABSTRACT

The human gut microbiota is of increasing interest, with metagenomics a key tool for analyzing bacterial diversity and functionality in health and disease. Despite increasing efforts to expand microbial gene catalogs and an increasing number of metagenome-assembled genomes, there have been few pan-metagenomic association studies and in-depth functional analyses across different geographies and diseases. Here, we explored 6014 human gut metagenome samples across 19 countries and 23 diseases by performing compositional, functional cluster, and integrative analyses. Using interpreted machine learning classification models and statistical methods, we identified Fusobacterium nucleatum and Anaerostipes hadrus with the highest frequencies, enriched and depleted, respectively, across different disease cohorts. Distinct functional distributions were observed in the gut microbiomes of both westernized and nonwesternized populations. These compositional and functional analyses are presented in the open-access Human Gut Microbiome Atlas, allowing for the exploration of the richness, disease, and regional signatures of the gut microbiota across different cohorts.

PMID:39038849 | DOI:10.1101/gr.278637.123

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Nevin Manimala Statistics

Scalable summary statistics-based heritability estimation method with individual genotype level accuracy

Genome Res. 2024 Jul 22:gr.279207.124. doi: 10.1101/gr.279207.124. Online ahead of print.

ABSTRACT

SNP heritability, the proportion of phenotypic variation explained by genotyped SNPs, is an important parameter in understanding the genetic architecture underlying various diseases and traits. Methods that aim to estimate SNP heritability from individual genotype and phenotype data are limited by their ability to scale to Biobank-scale datasets and by the restrictions in access to individual-level data. These limitations have motivated the development of methods that only require summary statistics. While the availability of publicly accessible summary statistics makes them widely applicable, these methods lack the accuracy of methods that utilize individual genotypes. Here we present a SUMmary statistics-based Randomized Haseman-Elston regression (SUM-RHE), a method that can estimate the SNP heritability of complex phenotypes with accuracies comparable to approaches that require individual genotypes, while exclusively relying on summary statistics. SUM-RHE employs Genome-Wide Association Study (GWAS) summary statistics and statistics obtained on a reference population, which can be efficiently estimated and readily shared for public use. Our results demonstrate that SUM-RHE obtains estimates of SNP heritability that are substantially more accurate compared to other summary statistic methods and on par with methods that rely on individual-level data.

PMID:39038848 | DOI:10.1101/gr.279207.124

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Nevin Manimala Statistics

Scotland to ask doctors to reduce prescribing of “low value” drugs

BMJ. 2024 Jul 22;386:q1614. doi: 10.1136/bmj.q1614.

NO ABSTRACT

PMID:39038829 | DOI:10.1136/bmj.q1614

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Nevin Manimala Statistics

Estimating sojourn time and sensitivity of screening for ovarian cancer using a Bayesian framework

J Natl Cancer Inst. 2024 Jul 23:djae145. doi: 10.1093/jnci/djae145. Online ahead of print.

ABSTRACT

BACKGROUND: Ovarian cancer is among the leading causes of gynecologic cancer-related death. Past ovarian cancer screening trials using combination of cancer antigen 125 testing and transvaginal ultrasound failed to yield statistically significant mortality reduction. Estimates of ovarian cancer sojourn time-that is, the period from when the cancer is first screen detectable until clinical detection-may inform future screening programs.

METHODS: We modeled ovarian cancer progression as a continuous time Markov chain and estimated screening modality-specific sojourn time and sensitivity using a Bayesian approach. Model inputs were derived from the screening arms (multimodal and ultrasound) of the UK Collaborative Trial of Ovarian Cancer Screening and the Prostate, Lung, Colorectal and Ovarian cancer screening trials. We assessed the quality of our estimates by using the posterior predictive P value. We derived histology-specific sojourn times by adjusting the overall sojourn time based on the corresponding histology-specific survival from the Surveillance, Epidemiology, and End Results Program.

RESULTS: The overall ovarian cancer sojourn time was 2.1 years (posterior predictive P value = .469) in the Prostate, Lung, Colorectal and Ovarian studies, with 65.7% screening sensitivity. The sojourn time was 2.0 years (posterior predictive P value = .532) in the United Kingdom Collaborative Trial of Ovarian Cancer Screening’s multimodal screening arm and 2.4 years (posterior predictive P value = .640) in the ultrasound screening arm, with sensitivities of 93.2% and 64.5%, respectively. Stage-specific screening sensitivities in the Prostate, Lung, Colorectal and Ovarian studies were 39.1% and 82.9% for early-stage and advanced-stage disease, respectively. The histology-specific sojourn times ranged from 0.8 to 1.8 years for type II ovarian cancer and 2.9 to 6.6 years for type I ovarian cancer.

CONCLUSIONS: Annual screening is not effective for all ovarian cancer subtypes. Screening sensitivity for early-stage ovarian cancers is not sufficient for substantial mortality reduction.

PMID:39038822 | DOI:10.1093/jnci/djae145

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Nevin Manimala Statistics

Investigation of the association between the CASP8rs1045485 and SOD2 rs4880 single nucleotide polymorphisms (SNPs) with breast cancer

Cancer Treat Res Commun. 2024 Jul 11;40:100835. doi: 10.1016/j.ctarc.2024.100835. Online ahead of print.

ABSTRACT

INTRODUCTION: Single nucleotide polymorphisms (SNPs) have been identified as prognostic markers that can influence the response to chemotherapy and, ultimately, the outcome of the disease. The objective of this study is to investigate the association between the rs1045485 and rs4880 variants and breast cancer.

METHODS: Ninety-nine cases and 81 healthy individuals (over 60 years old) were recruited from Iranian population. Genotyping of the rs1045485 and rs4880 polymorphisms was determined using the PCR-RFLP molecular method. The obtained results were then evaluated using the SPSS 23.0, odds ratios (ORs) with 95 % confidence intervals (95 %CIs).

RESULTS: The average age of the subjects was 50.17± 1.8 years, with age ranging from 40 to 76 years. Additionally, more patients were in stage and grade 2 of the disease. Furthermore, 51.73 %, 53.24 % and 41.48 % of patients tested positive for ER, PR and HER2 status, respectively. The odds ratios of the genotypes studied for each of the two variants were not statistically significant. Additionally, all models (dominant, codominant, recessive and over dominant) also indicated that this difference was not significant (p > 0.05). Investigation of the association between the CASP8rs1045485 and SOD2 rs4880 variants with clinicopathological status were not revealed a significant relationship. The Hardy-Weinberg test showed that the evaluated population was balanced (p > 0.05).

CONCLUSION: In the studied models of both polymorphisms, no significant correlation was found between the genotypes and the conditions of estrogen, progesterone and Her2 receptors, as well as the stage and grade of the disease.

PMID:39038402 | DOI:10.1016/j.ctarc.2024.100835

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Nevin Manimala Statistics

Characteristics and outcomes of patients with low back pain with and without radiating leg pain following the GLA:D back program

Musculoskelet Sci Pract. 2024 Jul 11;73:103144. doi: 10.1016/j.msksp.2024.103144. Online ahead of print.

ABSTRACT

BACKGROUND: Some patients with low back pain (LBP) also report radiating leg pain which is a prognostic factor for poorer clinical outcomes. We aimed: 1) to compare the baseline characteristics of patients with LBP with – (LBP + leg pain) and without radiating leg pain (LBP – alone); 2) to investigate whether patients with LBP + leg pain show similar post-treatment outcomes as compared to LBP – alone, after participation in an exercise and patient education program, i.e. the GLA:D Back program.

METHODS: The patient sample included 3508 patients in the GLA:D Back program between March 2018 and August 2022. The outcomes were mean changes in LBP intensity, back-related activity limitation, self-efficacy and fear of movement measured from baseline to 3, 6 and 12 months. Baseline characteristics were compared with descriptive statistics, and linear mixed models were used to estimate group differences in changes from baseline to 3-, 6- and 12 months.

RESULTS: 1915 (55%) of the patients were in the group LBP- alone and 1593 (45%) in the LBP + leg pain. The LBP + leg pain group displayed higher STarT back classification (greater risk of chronicity) compared to the LBP-alone. The LBP + leg pain group showed almost similar improvements in all outcomes compared to LBP – alone after the GLA:D Back program.

CONCLUSION: In long-lasting (chronic) LBP patients, the LBP + leg pain group improved to the same extent as LBP – alone regarding LBP intensity, disability, and fear of movement following an exercise and patient education program, GLA:D Back.

PMID:39038395 | DOI:10.1016/j.msksp.2024.103144

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Nevin Manimala Statistics

Biophysical essentials – A full stack open-source software framework for conserved and advanced analysis of patch-clamp recordings

Comput Methods Programs Biomed. 2024 Jul 17;255:108328. doi: 10.1016/j.cmpb.2024.108328. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVES: Patch-Clamp recordings allow for in depth electrophysiological characterization of single cells, their general biophysical properties as well as characteristics of voltage- and ligand-gated ionic currents. Different acquisition modes, such as whole-cell patch-clamp recordings in the current or voltage clamp configuration, capacitance measurements or single channel recordings from cultured cells as well as acute brain slices are routinely performed for these purposes. Nevertheless, multipurpose transparent and adaptable software tools to perform reproducible state-of-the-art analysis of multiple experiment types and to manage larger sets of experimental data are currently unavailable.

METHODS: Biophysical Essentials (BPE) was developed as an open-source full stack python software for transparent and reproducible analysis of electrophysiological recordings. For validation, BPE results were compared with manually analyzed single-cell patch-clamp data acquired from a human in vitro nociceptor-model and mouse dorsal root ganglia neurons.

RESULTS: While initially designed to improve time consuming and repetitive analysis steps, BPE was further optimized as a technical software solution for entire workflow processing including data acquisition, data preprocessing, normalization and visualization and of single recordings up to stacked calculations and statistics of multiple experiments. BPE can operate with different file formats from different amplifier systems and producers. An in-process database logs all analysis steps reproducible review and serves as a central storage point for recordings. Statistical testing as well as advanced analysis functions like Boltzmann-fitting and dimensional reduction methods further support the researchers’ needs in projects involving electrophysiology techniques.

CONCLUSIONS: BPE extends beyond available patch-clamp specific, open source – and commercial analysis tools in particular because of reproducible and sharable analysis workflows. BPE enables full analysis from raw data acquisition to publication ready result visualizations – all within one single program. Thereby, BPE significantly enhances transparency in the analytical process of patch-clamp data analysis. BPEs function scope is completely accessible through an easy-to-use graphical user interface eliminating the need for programing language proficiency as required by many community patch-clamp analysis frameworks and algorithms.

PMID:39038390 | DOI:10.1016/j.cmpb.2024.108328

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Nevin Manimala Statistics

Occurrence and emission characteristics of microplastics in agricultural surface runoff under different natural rainfall and short-term fertilizer application

J Hazard Mater. 2024 Jul 17;477:135254. doi: 10.1016/j.jhazmat.2024.135254. Online ahead of print.

ABSTRACT

Land-based microplastics (MPs) are considered the primary source of MPs in aquatic environments, with runoff being a major pathway for their transfer from soil to surface water. However, the transportation characteristics of MPs via agricultural surface runoff remain unclear. In this study, we investigated the occurrence and emission characteristics of MPs in agricultural surface runoff under various short-term fertilizer applications and natural rainfall events using laser direct infrared imaging analysis (LDIR). MPs from fertilizers and soils co-migrated with the agricultural runoff. The abundance and concentration of MPs in runoff were 145.90 ± 22.48-2043.38 ± 89.51 items·L-1 and 39.17 ± 21.94-523.04 ± 47.85 µg·L-1, respectively. Small and low-density MPs, such as polyethylene (PE), chlorinated polyethylene (CPE), and polyurethane (PU) in film/fragment form with 20-50 µm exhibited a higher mobility. No statistical differences were observed in the distribution of runoff MPs with the application of different fertilizers. There was a significant positive relationship between runoff MP abundance and rainfall intensity. The annual emission load in this study area was 116.73 g·hm-2, indicating that the transportation of MPs via agricultural surface runoff cannot be ignored. This study is conducive to understanding the migration behavior of MPs in soil-water environments in a better manner.

PMID:39038379 | DOI:10.1016/j.jhazmat.2024.135254

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Nevin Manimala Statistics

Factors Influencing the Efficacy of Shenqi Yanshen Granule in Ameliorating Early Proteinuria Among Patients with Nephrotic Syndrome: A Logistic Analysis

Altern Ther Health Med. 2024 Jul 19:AT10280. Online ahead of print.

ABSTRACT

OBJECTIVE: The study aimed to investigate the factors influencing the efficacy of Shenqi Yanshen Granule in ameliorating proteinuria among nephrotic syndrome patients in renal function stages 1-3.

METHODS: 100 patients with nephrotic syndrome and renal function stages 1-3, treated at our hospital from May 2021 to March 2023 were enrolled. All patients received Shenqi Yanshen granule treatment. The patients were divided into the control group (n = 68, with proteinuria reduction of ≥50%) and the observation group (n = 32, with proteinuria reduction of <50% or increased proteinuria) at 24 hours after treatment. Clinical data, proteinuria levels at 24 hours after treatment, renal function indices, and mean blood pressure were statistically compared. The efficacy of Shenqi Yanshen Granule in treating proteinuria and factors influencing the efficacy was assessed using multiple logistic regression.

RESULTS: The observation group had a higher average age and duration of disease compared to the control group (P < .05). Upon treatment, proteinuria decreased in both groups (P < .05), with higher levels in the observation group than in the control group. Post-treatment, serum creatinine levels decreased and GFR increased in the control group (P < .05), while the serum creatinine level increased and GFR decreased in the observation group (P < .05). Mean blood pressure decreased in both groups post-treatment (P < .05). The observation group exhibited lower rates of remarkable and effective outcomes and higher rates of general effective and ineffective outcomes (P < .05). Logistic regression analysis highlighted age, severity of nephropathy, underlying conditions, lifestyle, and pre-treatment proteinuria as significant factors influencing the impact of Shenqi Yanshen Granule on proteinuria in patients with nephrotic syndrome (P < .05).

CONCLUSION: Shenqi Yanshen Granule proves to be a potent intervention for reducing proteinuria in patients with nephrotic syndrome. Notably, age and disease severity emerge as pivotal determinants of drug efficacy.

PMID:39038363