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Nevin Manimala Statistics

Attitude and prevalence of early sexual debut and associated risk sexual behavior among adolescents in Tanzania; Evidence from baseline data in a Randomized Controlled Trial

BMC Public Health. 2023 Sep 9;23(1):1758. doi: 10.1186/s12889-023-16623-6.

ABSTRACT

BACKGROUND: Unsafe sexual behaviours and associated sexual ideas among adolescents may contribute to adverse health consequences for sexual health in adulthood. The patterns of sexual ideology and sociodemographic factors profiles on adolescents’ sexual behaviours have not been the subject of a definite consensus in research. The purpose of this study was to investigate the attitude and prevalence of early sexual debut and associated risk sexual behavior among adolescents in Tanzania as the evidence from baseline data in a Randomized Controlled Trial.

METHODS: The study included 647 randomly chosen in-school adolescents from Tanzania and used an analytical cross-section survey in a quantitative research approach. Sexual-risk Behaviour Beliefs and Self-esteem Scale from previous studies were the main data collection tool. According to the Statistical Analysis Software (SAS), computer software version 9.4 descriptive analysis established respondents’ socio-demographic profiles, attitudes, prevalence, and determinants linked to teenagers’ early sexual debut. The link between the variables was established via multivariate logistic regression at a 5% significance level and a 95% confidence interval.

RESULTS: The mean age was 15 ± 1.869 years while 57.5% of adolescents were females. 69.7% of adolescents were sexually active whereas 44.8% of them practised sexual behaviours willingly against 24.9% who practised coerced sexual behaviours. The majority (44.4%) and 16.2% of them initiated sexual behaviours during the early and middle adolescence stages respectively. Most adolescents had the ideology that sex was okay to them even before the age of 18 years. Their odds of practicing sexual behaviours were significantly high with the ideology that sex was okay to them even before 18 years of age (AOR = 1.293; p < 0.05; 95%CI: 0.689, 2.989), exposure to drug abuse (AOR = 1.210; p < 0.05; 95%CI: 0.803, 2.130), using media (AOR = 1.006; p < 0.05; 95%CI: 0.748, 2.667) and/or exposure to social groups [Jogging, Gym, health clubs, betting, Games] (AOR = 1.032; p < 0.05; 95%CI: 0.889, 2.044).

CONCLUSION: Findings suggest that holding a positive attitude towards early sexual debut is a precursor to early sexual activity among adolescents. Unsafe sex, coercive sex, and other risky sexual behaviors are not uncommon among adolescents starting sex before the age of 18 years. Exposure to drug abuse, online sexual content, and/or social groups significantly influenced early sexual debut irrespective of other known factors. Age-appropriate school-based sexuality education programs should be promoted and implemented to address the most prevalent positive attitude towards early sexual debut and associated risk sexual behaviour among adolescents in Tanzania and other similar settings.

PMID:37689638 | DOI:10.1186/s12889-023-16623-6

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Nevin Manimala Statistics

Planning ahead for research participation: survey of public and professional stakeholders’ views about the acceptability and feasibility of advance research planning

BMC Med Ethics. 2023 Sep 9;24(1):70. doi: 10.1186/s12910-023-00948-3.

ABSTRACT

BACKGROUND: Anticipatory planning in the UK focuses on supporting people who anticipate periods of impaired capacity to express their wishes about future care through processes such as advance care planning. Other countries have extended anticipatory planning to include processes for people to prospectively express their preferences about research participation. Advance research planning (ARP) is thought to extend autonomy and ensure that ‘proxy’ decisions about research are based on their wishes and preferences.

METHODS: A cross-sectional survey was conducted with two stakeholder groups (members of the public including people living with capacity-affecting conditions and family members; researchers and other professionals) who were recruited via research registries and other routes. Online questionnaires were used to capture the perspectives of the two groups. Responses were analysed using descriptive statistics and content analysis.

RESULTS: A total of 327 participants (members of the public n = 277, professionals n = 50) completed the survey (November 2022 – March 2023). ARP was supported by 97% of public contributors and 94% of professionals. Participants thought that ARP should include the person’s general wishes about research, specific types of studies, and who should make decisions on their behalf. They identified a number of challenges, including how ARP could take account of changes in individuals’ preferences or circumstances whilst protecting their rights and interests. Implementation barriers included the potential time, complexity, and cost involved. These could be addressed by embedding ARP in existing anticipatory planning pathways and aligning it with other research enrolment activities. Relationships and trust played a key role, including underpinning who should support the delivery of ARP, how they are trained, and when it is undertaken.

CONCLUSIONS: There were high levels of support for introducing ARP in the UK. Further research should explore practical barriers and stakeholder concerns and identify any unintended consequences. Future activities should include developing ARP interventions alongside training and other resources, and also focus on public awareness campaigns, and engaging policymakers and other stakeholders.

PMID:37689636 | DOI:10.1186/s12910-023-00948-3

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Nevin Manimala Statistics

Using public clinical trial reports to probe non-experimental causal inference methods

BMC Med Res Methodol. 2023 Sep 9;23(1):204. doi: 10.1186/s12874-023-02025-0.

ABSTRACT

BACKGROUND: Non-experimental studies (also known as observational studies) are valuable for estimating the effects of various medical interventions, but are notoriously difficult to evaluate because the methods used in non-experimental studies require untestable assumptions. This lack of intrinsic verifiability makes it difficult both to compare different non-experimental study methods and to trust the results of any particular non-experimental study.

METHODS: We introduce TrialProbe, a data resource and statistical framework for the evaluation of non-experimental methods. We first collect a dataset of pseudo “ground truths” about the relative effects of drugs by using empirical Bayesian techniques to analyze adverse events recorded in public clinical trial reports. We then develop a framework for evaluating non-experimental methods against that ground truth by measuring concordance between the non-experimental effect estimates and the estimates derived from clinical trials. As a demonstration of our approach, we also perform an example methods evaluation between propensity score matching, inverse propensity score weighting, and an unadjusted approach on a large national insurance claims dataset.

RESULTS: From the 33,701 clinical trial records in our version of the ClinicalTrials.gov dataset, we are able to extract 12,967 unique drug/drug adverse event comparisons to form a ground truth set. During our corresponding methods evaluation, we are able to use that reference set to demonstrate that both propensity score matching and inverse propensity score weighting can produce estimates that have high concordance with clinical trial results and substantially outperform an unadjusted baseline.

CONCLUSIONS: We find that TrialProbe is an effective approach for probing non-experimental study methods, being able to generate large ground truth sets that are able to distinguish how well non-experimental methods perform in real world observational data.

PMID:37689623 | DOI:10.1186/s12874-023-02025-0

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Nevin Manimala Statistics

Painted playgrounds for preschoolers’ physical activity and fundamental motor skill improvement: a randomized controlled pilot trial of effectiveness

BMC Pediatr. 2023 Sep 9;23(1):455. doi: 10.1186/s12887-023-04260-2.

ABSTRACT

BACKGROUND: Preschool children are not meeting recommended levels of physical activity (PA) nor are they proficient in fundamental motor skills (FMS), which are the foundation for PA. As such, interventions are needed to increase PA and FMS in young children. This trial examined the effects of an environmental (“painted playgrounds”) and capacity-building (written toolkit) intervention on child FMS, PA, and sedentary behavior at early childhood education (ECE) centers and examined feasibility.

METHODS: In a randomized controlled trial, four ECE centers were randomly assigned to an intervention group or wait-list control. For intervention centers, stencils were spray painted adjacent to playgrounds and teachers were provided material for using stencils for FMS practice. Follow-up assessments were conducted six to eight weeks after baseline. Time spent in PA and sedentary behavior was assessed via accelerometry and FMS were evaluated using the Test of Gross Motor Development (TGMD-3) at baseline and follow-up. A repeated measures linear model was performed to test the effects of the painted playgrounds on the primary outcomes of interest. Feasibility was measured by stencil engagement via direct observation and satisfaction surveys.

RESULTS: A total of 51 preschoolers completed baseline assessments (4.3±0.6 years; 43.1% male). There were no significant changes in PA or sedentary behavior (all confidence intervals contain 0) between control and intervention groups. Intervention children significantly improved ball skill, locomotor, and overall TGMD-3 percentile scores at follow-up (all (all confidence intervals contain 0), which was not observed in control group. However, there was no significant change in FMS between the control and intervention groups (confidence intervals contain 0). For stencil use, boys and girls interacted with different stencils during their free play. Directors and teachers reported children incorporated academic concepts and initiated games, and teachers prompted more PA opportunities on the playground.

CONCLUSIONS: This intervention did not show statistically significant changes in children’s PA, FMS, or sedentary behavior compared to a control group; however, small FMS improvements for the intervention group were found from baseline to follow-up. Further work should examine intervention fidelity as well as inexpensive supplies, teacher training, or other strategies to increase preschool children’s PA and improve FMS at ECE centers.

PMID:37689622 | DOI:10.1186/s12887-023-04260-2

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Nevin Manimala Statistics

Ex vivo detection of mandibular incisors’ root canal morphology using cone-beam computed tomography with 4 different voxel sizes and micro-computed tomography

BMC Oral Health. 2023 Sep 9;23(1):656. doi: 10.1186/s12903-023-03376-2.

ABSTRACT

BACKGROUND: In recent years, cone-beam computed tomography (CBCT) has been widely used to evaluate patients’ root canal anatomy due to its high resolution and noninvasive nature. As voxel size is one of the most important parameters affecting CBCT image quality, the current study evaluated the diagnostic potential of CBCT with 4 different voxel sizes in the detection of double root canal systems and accessory canals (ACs) in permanent mandibular incisors.

METHODS: A total of 106 extracted mandibular permanent incisors were collected from the dental clinics, and then were scanned by using micro-CT with a voxel size of 9 μm. The teeth were then fixed in the tooth sockets of human dry mandibles and scanned by using a CBCT device with 4 different voxel sizes (300, 200, 250, and 125 μm). Four observers detected in blind the root canal morphology of the teeth according to the CBCT images, and the presence or absence of a double root canal system, and the presence or absence of ACs, were scored according to a 5-point scale, respectively. Receiver operating characteristic (ROC) analysis was performed, and DeLong test was used to compare the area under the curve (AUC) values and the micro-CT data was taken as a gold standard.

RESULTS: Among 106 sample teeth, 25 specimens with a double root canal system were identified by the micro-CT. ROC curve analysis of the data obtained by the four observers showed that in the detection of double root canal systems, the AUC values ranged from 0.765 to 0.889 for 300 μm voxel size, from 0.877 to 0.926 for 250 μm voxel size, from 0.893 to 0.967 for 200 μm voxel size, and from 0.914 to 0.967 for 125 μm voxel size (all p < 0.01). In general, we observed a trend that the AUC values, sensitivity, and specialty increased with the decrease in the voxel size, and significantly higher AUC values were detected in 125 μm voxel size images. In the detection of ACs, ROC curve analysis showed that among the four observers, the AUC values ranged from 0.554 to 0.639 for 300 μm voxel size, from 0.532 to 0.654 for 250 μm voxel size, from 0.567 to 0.626 for 200 μm voxel size, and from 0.638 to 0.678 for 125 μm voxel size. CBCT images at a voxel size of 125 μm had a weak diagnostic potential (AUC: 0.5-0.7, all p < 0.05) in the detection of AC, with a lower sensitivity ranging from 36.8 to 57.9% and a higher specialty ranging from 73.6 to 98.8%.

CONCLUSIONS: CBCT with 300 μm voxel size could only provide moderate diagnostic accuracy in the detection of a double canal system in mandibular incisors. CBCT with a voxel size of 125 μm exhibited high diagnostic value in the detection of double canal systems, while showing low but statistically significant value in the detection of ACs.

PMID:37689620 | DOI:10.1186/s12903-023-03376-2

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Nevin Manimala Statistics

Differentiation of lung and breast cancer brain metastases: Comparison of texture analysis and deep convolutional neural networks

J Clin Ultrasound. 2023 Sep 9. doi: 10.1002/jcu.23558. Online ahead of print.

ABSTRACT

PURPOSE: Metastases are the most common neoplasm in the adult brain. In order to initiate the treatment, an extensive diagnostic workup is usually required. Radiomics is a discipline aimed at transforming visual data in radiological images into reliable diagnostic information. We aimed to examine the capability of deep learning methods to classify the origin of metastatic lesions in brain MRIs and compare the deep Convolutional Neural Network (CNN) methods with image texture based features.

METHODS: One hundred forty three patients with 157 metastatic brain tumors were included in the study. The statistical and texture based image features were extracted from metastatic tumors after manual segmentation process. Three powerful pre-trained CNN architectures and the texture-based features on both 2D and 3D tumor images were used to differentiate lung and breast metastases. Ten-fold cross-validation was used for evaluation. Accuracy, precision, recall, and area under curve (AUC) metrics were calculated to analyze the diagnostic performance.

RESULTS: The texture-based image features on 3D volumes achieved better discrimination results than 2D image features. The overall performance of CNN architectures with 3D inputs was higher than the texture-based features. Xception architecture, with 3D volumes as input, yielded the highest accuracy (0.85) while the AUC value was 0.84. The AUC values of VGG19 and the InceptionV3 architectures were 0.82 and 0.81, respectively.

CONCLUSION: CNNs achieved superior diagnostic performance in differentiating brain metastases from lung and breast malignancies than texture-based image features. Differentiation using 3D volumes as input exhibited a higher success rate than 2D sagittal images.

PMID:37688435 | DOI:10.1002/jcu.23558

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Nevin Manimala Statistics

Results of Medial Patellofemoral Ligament Reconstruction with and without Tibial Tubercle Transfer in Patellar Instability: A Systematic Review and Meta-Analysis

Orthop Surg. 2023 Sep 9. doi: 10.1111/os.13870. Online ahead of print.

ABSTRACT

The optimal surgical intervention for lateral patellar instability remains a topic of controversy despite satisfactory clinical outcomes and low re-dislocation rates reported in numerous studies following medial patellofemoral ligament reconstruction (MPFLR) with and without tibial tubercle transfer (TTT). The purpose of this systematic review and meta-analysis is to investigate the hypothesis that combining MPFLR with TTT provides reduced complication rates and improved clinical outcomes to isolated MPFLR in patients with lateral patellar instability. We conducted a comprehensive systematic review and meta-analysis of comparative trials involving MPFLR with and without TTT, sourcing data from PubMed, the Cochrane Library, Embase, and Web of Science. The primary clinical outcomes analyzed included the Kujala score, the Lysholm score, complication rates, and the Caton-Deschamps index (CDI). Random or fixed effects were used for the meta-analysis. Postoperatively, there were no significant differences observed in the Kujala and Lysholm scores between MPFLR and MPFLR + TTT (p = 0.053). At the final follow-up, the CDI had decreased 0.015 (95% CI -0.044, 0.013; p = 0.289) points in the MPFLR group, with no statistical significance. In contrast, the MPFLR + TTT group demonstrated a significant decrease of 0.207 (95% CI -0.240, -0.174; p = 0.000) points in CDI. Notably, the complication rate was higher in the MPFLR + TTT group compared to the MPFLR-only group (RR = 2.472; 95% CI 1.638, 3.731; p = 0.000). Both MPFLR and MPFLR + TTT procedures yield significant improvements in the Kujala and Lysholm scores. However, the MPFLR + TTT approach results in an apparent improvement in CDI and corrects patellar maltracking, particularly in cases involving high tibial tuberosity-trochlear groove (TT-TG) (>20 mm) or patella alta (CDI > 1.2), while MPFLR alone cannot. It is essential to consider the higher complication rate of MPFLR + TTT, which suggests that MPFLR alone may be sufficient for patients without high TT-TG or patella alta.

PMID:37688429 | DOI:10.1111/os.13870

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Nevin Manimala Statistics

Impact of inter-observer variability on first axillary level dosimetry in breast cancer radiotherapy: An AIRO multi-institutional study

Tumori. 2023 Sep 9:3008916231196801. doi: 10.1177/03008916231196801. Online ahead of print.

ABSTRACT

This study quantified the incidental dose to the first axillary level (L1) in locoregional treatment plan for breast cancer. Eighteen radiotherapy centres contoured L1-L4 on three different patients (P1,2,3), created the L2-L4 planning target volume (single centre planning target volume, SC-PTV) and elaborated a locoregional treatment plan. The L2-L4 gold standard clinical target volume (CTV) along with the gold standard L1 contour (GS-L1) were created by an expert consensus. The SC-PTV was then replaced by the GS-PTV and the incidental dose to GS-L1 was measured. Dosimetric data were analysed with Kruskal-Wallis test. Plans were intensity modulated radiotherapy (IMRT)-based. P3 with 90° arm setup had statistically significant higher L1 dose across the board than P1 and P2, with the mean dose (Dmean) reaching clinical significance. Dmean of P1 and P2 was consistent with the literature (77.4% and 74.7%, respectively). The incidental dose depended mostly on L1 proportion included in the breast fields, underlining the importance of the setup, even in case of IMRT.

PMID:37688419 | DOI:10.1177/03008916231196801

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Nevin Manimala Statistics

Improving care safety by characterizing task interruptions during interactions between healthcare professionals: an observational study

Int J Qual Health Care. 2023 Sep 9:mzad069. doi: 10.1093/intqhc/mzad069. Online ahead of print.

ABSTRACT

BACKGROUND: Few studies have investigated interruptions to the work of professionals practicing in inpatient hospitals, and even fewer take account of the functions that make up the system. Safety of care can be improved by considering avoidable interruptions during interactions between managerial and care delivery functions. The present study describes the characteristics of interruptions to the work of professionals working in the inpatient hospital sector, with respect to their typology, frequency, duration, and avoidability in the context of interactions between functions.

METHODS: This direct observational study of interruptions in hospital care was performed in the Pays de la Loire (west coast) area of France. A total of 23 teams (17 institutions) working in medical or surgical specialties (excluding intensive care) were included. Observations were performed between May and September 2019, and lasted seven consecutive hours per team. A pair of observers simultaneously observed the same professional for approximately 30 minutes. Each occupational category was examined. Reported characteristics were: (i) the method and duration of the request, (ii) the location of interrupted and interrupting persons, (iii) the reaction of the interrupted person, (iv) the characteristics of the interrupting person; and (v) the classification of interrupted and interrupting tasks according to their function. An avoidable interruption was defined. Interruptions during interactions between professionals were categorised in terms of their function and avoidability. Descriptive statistical analyses (mean, standard deviation, distribution) were run. In particular, cross-comparisons were run to highlight avoidability interruptions and interactions between managerial and care delivery functions during the working day, for different professional categories, and for the location of the request.

RESULTS: Overall, 286 interrupted professionals were observed and 1,929 interruptions were characterised. The majority of interruptions were due to a face-to-face request (58.7%), lasting ≤30 seconds (72.5%). Professionals engaged in the response in 49.3% of cases. A total of 57.4% of interruptions were avoidable. The average number of interruptions was 10.5 (SD=3.2) per hour per professional. An analysis of avoidability and interactions between managerial and care delivery functions found that the period between 12:00 and 13:00 was the riskiest in terms of care safety.

CONCLUSION: This study highlighted the characteristics of interruptions to the activity of professionals working in inpatient hospitals. Care teams could focus on making medical and nursing professionals much more aware of the importance of interruptions, and each team could decide how to best-manage interruptions, in the context of their specific working environment.

PMID:37688401 | DOI:10.1093/intqhc/mzad069

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Non-invasive diagnosis of early cutaneous squamous cell carcinoma

Exp Dermatol. 2023 Sep 9. doi: 10.1111/exd.14921. Online ahead of print.

ABSTRACT

Early cutaneous squamous cell carcinoma (cSCC) can be challenging to diagnose using clinical criteria as it could present similar to actinic keratosis (AK) or Bowen’s disease (BD), precursors of cSCC. Currently, histopathological assessment of an invasive biopsy is the gold standard for diagnosis. A non-invasive diagnostic approach would reduce patient and health system burden. Therefore, this study used non-invasive sampling by tape-stripping coupled with data-independent acquisition mass spectrometry (DIA-MS) proteomics to profile the proteome of histopathologically diagnosed AK, BD and cSCC, as well as matched normal samples. Proteomic data were analysed to identify proteins and biological functions that are significantly different between lesions. Additionally, a support vector machine (SVM) machine learning algorithm was used to assess the usefulness of proteomic data for the early diagnosis of cSCC. A total of 696 proteins were identified across the samples studied. A machine learning model constructed using the proteomic data classified premalignant (AK + BD) and malignant (cSCC) lesions at 77.5% accuracy. Differential abundance analysis identified 144 and 21 protein groups that were significantly changed in the cSCC, and BD samples compared to the normal skin, respectively (adj. p < 0.05). Changes in pivotal carcinogenic pathways such as LXR/RXR activation, production of reactive oxygen species, and Hippo signalling were observed that may explain the progression of cSCC from premalignant lesions. In summary, this study demonstrates that DIA-MS analysis of tape-stripped samples can identify non-invasive protein biomarkers with the potential to be developed into a complementary diagnostic tool for early cSCC.

PMID:37688398 | DOI:10.1111/exd.14921