Category: Statistics

Clin Transl Oncol. 2023 Aug 11. doi: 10.1007/s12094-023-03300-8. Online ahead of print.

ABSTRACT

BACKGROUND: This review was implemented to examine the impact of bone metastasis on the prognosis of non-small cell lung cancer patients (NSCLC) treated with immune checkpoint inhibitors (ICIs).

METHODS: A literature search was conducted in the PubMed, CENTRAL, Web of Science, and Embase databases up to 4th September 2022. Multivariable adjusted data were pooled in a random-effects model.

RESULTS: 13 studies were included. On a combined analysis of 10 studies, it was noted that bony metastasis was associated with poor overall survival (OS) in NSCLC patients treated with ICIs (HR: 1.55 95% CI 1.24, 1.94 I² = 69% p = 0.001). Meta-analysis of seven studies showed that bony metastasis was not associated with poor progression-free survival (PFS) in NSCLC patients treated with ICIs (HR: 1.31 95% CI 0.85, 2.01 I² = 85% p = 0.22). Meta-regression analysis using the moderator’s age, male gender, smoking history, squamous histology, and ICI as 1st line therapy for the outcome OS was not statistically significant.

CONCLUSION: The presence of bone metastasis is a predictor of poor OS in NSCLC treated with ICIs. However, PFS does not seem to be influenced by the presence of bone metastasis. Clinicians should prioritize the management of NSCLC patients with bone metastasis and explore the use of combination therapies to achieve optimal results. Further studies taking into account different combination therapies for such patients would strengthen the evidence.

PMID:37566344 | DOI:10.1007/s12094-023-03300-8

Obes Surg. 2023 Aug 11. doi: 10.1007/s11695-023-06750-9. Online ahead of print.

ABSTRACT

INTRODUCTION: With the increase in life expectancy and a growing number of people suffering from obesity, bariatric and metabolic surgery is becoming a major concern in the elderly population. The study aimed to collect, systematize and present the available data on the surgical treatment of obesity among Polish patients over 65 years of age.

MATERIAL AND METHODS: A retrospective study analysed patients over 65 years who underwent laparoscopic bariatric procedures in Poland from 2008 to 2022. The efficacy endpoints were percentage of excess weight loss (EWL%), percentage of total weight loss (%TWL), improvement in obesity-related diseases.

RESULTS: The group consisted of 284 patients (173 women, 60.9%). The mean follow-up was 47.5 months. The mean BMI before surgery was 43.1 kg/m2. 146 (51.4%) patients had T2D, and 244 (85.9%) had HT. The most common procedure was sleeve gastrectomy (82.0%). The mean EWL% after surgery was 50.9%, and the mean TWL% after surgery was 20.6%. There was the statistically significant difference between AGB vs OAGB, SG vs OAGB in %EWL (p = 0.0116, p = 0.009, respectively) and RYGB vs OAGB in %TWL (p = 0.0291). After surgery, 93 patients (63.7%) had complete or partial remission of T2D, and 112 patients (45.9%) had complete or partial remission of HT.

CONCLUSION: Bariatric surgery appears to be a safe and effective method of treatment of obesity in patients over 65 years of age. OAGB seems to have better results in weight loss than SG, RYGB, and AGB in older patients.

PMID:37566339 | DOI:10.1007/s11695-023-06750-9

Behav Res Methods. 2023 Aug 11. doi: 10.3758/s13428-023-02198-y. Online ahead of print.

ABSTRACT

This article presents CPB-LEX, a large-scale database of lexical statistics derived from children’s picture books (age range 0-8 years). Such a database is essential for research in psychology, education and computational modelling, where rich details on the vocabulary of early print exposure are required. CPB-LEX was built through an innovative method of computationally extracting lexical information from automatic speech-to-text captions and subtitle tracks generated from social media channels dedicated to reading picture books aloud. It consists of approximately 25,585 types (wordforms) and their frequency norms (raw and Zipf-transformed), a lexicon of bigrams (two-word sequences and their transitional probabilities) and a document-term matrix (which shows the importance of each word in the corpus in each book). Several immediate contributions of CPB-LEX to behavioural science research are reported, including that the new CPB-LEX frequency norms strongly predict age of acquisition and outperform comparable child-input lexical databases. The database allows researchers and practitioners to extract lexical statistics for high-frequency words which can be used to develop word lists. The paper concludes with an investigation of how CPB-LEX can be used to extend recent modelling research on the lexical diversity children receive from picture books in addition to child-directed speech. Our model shows that the vocabulary input from a relatively small number of picture books can dramatically enrich vocabulary exposure from child-directed speech and potentially assist children with vocabulary input deficits. The database is freely available from the Open Science Framework repository: https://tinyurl.com/4este73c .

PMID:37566336 | DOI:10.3758/s13428-023-02198-y

Environ Sci Pollut Res Int. 2023 Aug 11. doi: 10.1007/s11356-023-28576-9. Online ahead of print.

ABSTRACT

Cancer disease is one of the main causes of death in the world, with million annual cases in the last decades. The need to find a cure has stimulated the search for efficient treatments and diagnostic procedures. One of the most promising tools that has emerged against cancer in recent years is machine learning (ML), which has raised a huge number of scientific papers published in a relatively short period of time. The present study analyzes global scientific production on ML applied to the most relevant cancer types through various bibliometric indicators. We find that over 30,000 studies have been published so far and observe that cancers with the highest number of published studies using ML (breast, lung, and colon cancer) are those with the highest incidence, being the USA and China the main scientific producers on the subject. Interestingly, the role of China and Japan in stomach cancer is correlated with the number of cases of this cancer type in Asia (78% of the worldwide cases). Knowing the countries and institutions that most study each area can be of great help for improving international collaborations between research groups and countries. Our analysis shows that medical and computer science journals lead the number of publications on the subject and could be useful for researchers in the field. Finally, keyword co-occurrence analysis suggests that ML-cancer research trends are focused not only on the use of ML as an effective diagnostic method, but also for the improvement of radiotherapy- and chemotherapy-based treatments.

PMID:37566331 | DOI:10.1007/s11356-023-28576-9

Environ Sci Pollut Res Int. 2023 Aug 11. doi: 10.1007/s11356-023-28988-7. Online ahead of print.

ABSTRACT

The increasing occurrence of micropollutants in natural water bodies has medium to long-term effects on both aquatic life and human health. The aim of this study is to optimize the degradation of two pharmaceutical pollutants of emerging concern: amoxicillin and acetaminophen in aqueous solution at laboratory and pilot scale, by solar photo-Fenton process carried out at neutral pH using ethylenediamine-N,N’-disuccinic acid (EDDS) as a complexing agent to maintain iron in solution. The initial concentration of each compound was set at 1 mg/L dissolved in a simulated effluent from a municipal wastewater treatment plant (MWTP). A factorial experimental design and its surface response analysis were used to optimize the operating parameters to achieve the highest initial degradation rate of each target. The evolution of the degradation process was measured by ultra-performance liquid chromatography (UPLC/UV), obtaining elimination rates above 90% for both contaminants. Statistical study showed the optimum concentrations of Fe(III) at 3 mg/L at an Fe-EDDS ratio of 1:2 and 2.75 mg/L H₂O₂ for the almost complete removal of the target compounds by solar photo-Fenton process. Validation of the experimental design was successfully carried out with actual MWTP effluent spiked with 100 μg/L of amoxicillin and acetaminophen, each at pilot plant scale.

PMID:37566324 | DOI:10.1007/s11356-023-28988-7

Int Urol Nephrol. 2023 Aug 11. doi: 10.1007/s11255-023-03663-5. Online ahead of print.

ABSTRACT

BACKGROUND: Intraperitoneal pressure (IPP) in peritoneal dialysis (PD) is an individual characteristic that can be modified by posture and intraperitoneal volume (IPV). It is considered one of the predisposing factors for complications in the abdominal wall, such as the appearance of hernias. No studies to date have confirmed this. The main aim of this study was to assess the relationship between the development of hernia in incident PD patients and IPP measured at PD onset.

METHODS: A prospective observational study of incident patients in a PD programme between 2010 and 2020. IPP was measured using the Durand’s method.

RESULTS: One hundred and twenty-four incident patients on PD, 68% male, mean age 62.1 ± 15.23 years, body mass index (BMI) 27.7 ± 4.82 kg/m², 44% were diabetic. IPP in supine was 16.6 ± 4.60 cm H₂O for a mean IPV of 2047.1 ± 359.19 mL. Hernias were reported in 18.5% of patients during PD follow-up: 57% were inguinal hernias, 33% umbilical, and a further 10% presented in a combined form. PD hernias correlated positively with IPP in supine position (p = 0.037), patient age (p = 0.008), BMI (p = 0.043), a history of prior hernia (0.016), laparoscopic catheter placement (p = 0.026), and technique failure (p = 0.012). In the multivariate analysis, a higher IPP was independently related to the development of hernias (p = 0.028).

CONCLUSIONS: The development of hernias in PD was related to a higher IPP at PD onset, older age, higher BMI, history of prior hernia, catheter placement by laparoscopy, and technique failure.

PMID:37566322 | DOI:10.1007/s11255-023-03663-5

J Assist Reprod Genet. 2023 Aug 11. doi: 10.1007/s10815-023-02901-0. Online ahead of print.

ABSTRACT

PURPOSE: To evaluate embryo ploidy in a cohort of patients who underwent preimplantation genetic testing for aneuploidy (PGT-A) with vitrified oocytes compared to fresh oocytes.

METHODS: Patients who underwent their first autologous oocyte vitrification and warming followed by in vitro fertilization (IVF) and trophectoderm biopsy for PGT-A between 1/1/2017 and 12/31/2021 at a single academic institution were included. Patients were compared 1:3 to age-matched controls who underwent their first IVF cycle with fresh oocytes and subsequent trophectoderm biopsy for PGT-A. The primary outcome was the proportions of euploid, mosaic, and aneuploid embryos between those using vitrified versus fresh oocytes.

RESULTS: 117 patients who cryopreserved a total of 1,272 mature oocytes were included in the study and were matched with 351 controls using fresh oocytes. The average age was 36.9 ± 2.6 years, and the median interval between oocyte vitrification and warming was 38 months. There were similar numbers of mature oocytes (10.9 ± 4.9 vs. 11.1 ± 6.3, P = .67), fertilized oocytes (7.8 ± 4.0 vs. 8.7 ± 5.5, P = .10), and blastocysts per patient (5.1 ± 3.1 vs. 5.8 ± 4.3, P = .10) between those using vitrified versus fresh oocytes. In terms of embryo ploidy results, there were no statistically significant differences in rates of euploidy (40.1% vs. 41.6%), mosaicism (15.7% vs. 12.0%), or aneuploidy (44.3% vs. 46.4%) (P = .06) between the two groups.

CONCLUSIONS: Oocyte vitrification with subsequent warming, fertilization, and trophectoderm biopsy for PGT-A was not associated with adverse chromosomal competence when compared to age-matched controls utilizing fresh oocytes.

PMID:37566316 | DOI:10.1007/s10815-023-02901-0

Int J Cardiovasc Imaging. 2023 Aug 11. doi: 10.1007/s10554-023-02924-9. Online ahead of print.

ABSTRACT

Echocardiographic deformation curves provide detailed information on myocardial function. Deep neural networks (DNNs) may enable automated detection of disease features in deformation curves, and improve the clinical assessment of these curves. We aimed to investigate whether an explainable DNN-based pipeline can be used to detect and visualize disease features in echocardiographic deformation curves of phospholamban (PLN) p.Arg14del variant carriers. A DNN was trained to discriminate PLN variant carriers (n = 278) from control subjects (n = 621) using raw deformation curves obtained by 2D-speckle tracking in the longitudinal axis. A visualization technique was used to identify the parts of these curves that were used by the DNN for classification. The PLN variant carriers were clustered according to the output of the visualization technique. The DNN showed excellent discriminatory performance (C-statistic 0.93 [95% CI 0.87-0.97]). We identified four clusters with PLN-associated disease features in the deformation curves. Two clusters showed previously described features: apical post-systolic shortening and reduced systolic strain. The two other clusters revealed novel features, both reflecting delayed relaxation. Additionally, a fifth cluster was identified containing variant carriers without disease features in the deformation curves, who were classified as controls by the DNN. This latter cluster had a very benign disease course regarding development of ventricular arrhythmias. Applying an explainable DNN-based pipeline to myocardial deformation curves enables automated detection and visualization of disease features. In PLN variant carriers, we discovered novel disease features which may improve individual risk stratification. Applying this approach to other diseases will further expand our knowledge on disease-specific deformation patterns. Overview of the deep neural network-based pipeline for feature detection in myocardial deformation curves. Firstly, phospholamban (PLN) p.Arg14del variant carriers and controls were selected and a deep neural network (DNN) was trained to detect the PLN variant carriers. Subsequently, a clustering-based approach was performed on the attention maps of the DNN, which revealed 4 distinct phenotypes of PLN variant carriers with different prognoses. Moreover, a cluster without features and a benign prognosis was detected.

PMID:37566298 | DOI:10.1007/s10554-023-02924-9

Protein J. 2023 Aug 11. doi: 10.1007/s10930-023-10146-0. Online ahead of print.

ABSTRACT

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects approximately 1/68 children, with a more recent study suggesting numbers as high as 1/36. According to Diagnostic and Statistical Manual of Mental Disorders, the etiology of ASD is unknown and diagnosis of this disorder is behavioral. There is currently no biomarker signature for ASD, however, identifying a biomarker signature is crucial as it would aid in diagnosis, identifying treatment targets, monitoring treatments, and identifying the etiology of the disorder. Here we used nanoliquid chromatography-tandem mass spectrometry (nanoLC-MS/MS) to investigate the saliva from individuals with ASD and matched controls in a 14 vs 14 study. We found numerous proteins to have statistically significant dysregulations, including lactotransferrin, transferrin, polymeric immunoglobulin receptor, Ig A L, Ig J chain, mucin 5 AC, and lipocalin 1 isoform X1. These findings are consistent with previous studies by our lab, and others, and point to dysregulations in the immune system, lipid metabolism and/or transport, and gastrointestinal disturbances, which are common and reoccurring topics in ASD research.

PMID:37566278 | DOI:10.1007/s10930-023-10146-0

Eur Radiol. 2023 Aug 11. doi: 10.1007/s00330-023-10061-z. Online ahead of print.

ABSTRACT

OBJECTIVES: To evaluate the performance of natural language processing (NLP) models to predict isocitrate dehydrogenase (IDH) mutation status in diffuse glioma using routine MR radiology reports.

MATERIALS AND METHODS: This retrospective, multi-center study included consecutive patients with diffuse glioma with known IDH mutation status from May 2009 to November 2021 whose initial MR radiology report was available prior to pathologic diagnosis. Five NLP models (long short-term memory [LSTM], bidirectional LSTM, bidirectional encoder representations from transformers [BERT], BERT graph convolutional network [GCN], BioBERT) were trained, and area under the receiver operating characteristic curve (AUC) was assessed to validate prediction of IDH mutation status in the internal and external validation sets. The performance of the best performing NLP model was compared with that of the human readers.

RESULTS: A total of 1427 patients (mean age ± standard deviation, 54 ± 15; 779 men, 54.6%) with 720 patients in the training set, 180 patients in the internal validation set, and 527 patients in the external validation set were included. In the external validation set, BERT GCN showed the highest performance (AUC 0.85, 95% CI 0.81-0.89) in predicting IDH mutation status, which was higher than LSTM (AUC 0.77, 95% CI 0.72-0.81; p = .003) and BioBERT (AUC 0.81, 95% CI 0.76-0.85; p = .03). This was higher than that of a neuroradiologist (AUC 0.80, 95% CI 0.76-0.84; p = .005) and a neurosurgeon (AUC 0.79, 95% CI 0.76-0.84; p = .04).

CONCLUSION: BERT GCN was externally validated to predict IDH mutation status in patients with diffuse glioma using routine MR radiology reports with superior or at least comparable performance to human reader.

CLINICAL RELEVANCE STATEMENT: Natural language processing may be used to extract relevant information from routine radiology reports to predict cancer genotype and provide prognostic information that may aid in guiding treatment strategy and enabling personalized medicine.

KEY POINTS: • A transformer-based natural language processing (NLP) model predicted isocitrate dehydrogenase mutation status in diffuse glioma with an AUC of 0.85 in the external validation set. • The best NLP models were superior or at least comparable to human readers in both internal and external validation sets. • Transformer-based models showed higher performance than conventional NLP model such as long short-term memory.

PMID:37566271 | DOI:10.1007/s00330-023-10061-z