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Nevin Manimala Statistics

Application of different quantitative analytical techniques for estimation of aspirin and omeprazole in pharmaceutical preparation

BMC Chem. 2022 Aug 15;16(1):60. doi: 10.1186/s13065-022-00854-6.

ABSTRACT

Several quantitative analytical methods were used to estimate aspirin and omeprazole in recently FDA-approved tablets. The first derivative of the ratio spectra was used to resolve the recorded overlapping spectra between aspirin and omeprazole. The first derivative of the ratio spectra of the studied drug mixtures was divided by a spectrum of a standard solution of omeprazole for the estimation of aspirin. Also, the first derivative of the ratio spectra of the studied drug mixtures was divided by a spectrum of the standard solution of aspirin for the estimation of omeprazole. For the simultaneous quantitative analysis of aspirin and omeprazole, the TLC densitometry technique was applied using TLC aluminum silica gel plates, toluene-acetonitrile-methanol (7:2:0.5, by volume) as the mobile phase, and UV detection at 272 nm. The advantages and disadvantages of the proposed techniques were discussed in the context of the results and the sensitivity limits of the methods. The proposed techniques were validated and successfully applied to the analysis of drugs in pure and pharmaceutical forms. A statistical comparison of the data obtained by the described methods with other data obtained by a previously published HPLC method was performed. The results agreed well with respect to the recommended statistical tests. Furthermore, the greenness of the described methods was assessed using different tools, the analytical eco-scale, the green analytical procedure index and the AGREE evaluation method. The proposed methods showed more adherence to the greenness characters in comparison to the previously reported HPLC method.

PMID:35971129 | DOI:10.1186/s13065-022-00854-6

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Nevin Manimala Statistics

Virtual Interviews Improve Equity and Wellbeing: Results of a Survey of Applicants to Obstetrics and Gynecology Subspecialty Fellowships

BMC Med Educ. 2022 Aug 15;22(1):620. doi: 10.1186/s12909-022-03679-y.

ABSTRACT

BACKGROUND: Nationwide restrictions and recommendations from the Association of American Medical Colleges mandated program directors to conduct all graduate medical education interviews virtually in the Spring of 2020 in response to the COVID-19 pandemic. This study was conducted to assess the impact of virtual interviews on a candidates’ ability to effectively create a rank list.

OBJECTIVE: The primary objective of this study was to evaluate Obstetrics and Gynecology (ObGyn) subspecialty fellowship applicants’ perspectives regarding the effectiveness of virtual interviews for creating a rank list. Secondary outcomes included perceived advantages and disadvantages of the process and costs of the process.

METHODS: This was a cross-sectional IRB-exempt study, using an electronic survey administered to a convenience sample of applicants to ObGyn subspecialty fellowship programs. The survey was administered via RedCap between the rank list submission deadline and the Match. Descriptive statistics were used.

RESULTS: Response rate was 158/330 (48%). Overall, 129/158 (82%) percent of respondents felt confident in making their rank list based on the virtual interviews, and 146/158 (92%) were “very satisfied” or “somewhat satisfied” with the process. Of those who expressed an interview style preference, 65/149(44%) of respondents preferred virtual interviews; 49/149(33%) had no preference or were not sure. Nearly all 146/148(99%) applicants cited cost-savings as a distinct advantage of virtual interviews.

CONCLUSION: Applicants to ObGyn subspecialty fellowships felt comfortable to create a rank list based on the virtual interview. This study indicates that the virtual format is effective, less stressful and less costly for ObGyn subspecialty interviews and should be considered beyond the pandemic to remove barriers and burdens for applicants.

PMID:35971126 | DOI:10.1186/s12909-022-03679-y

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Nevin Manimala Statistics

Calling situated: a survey among medical students supplemented by a qualitative study and a comparison with a surveyed sample of physicians

BMC Med Educ. 2022 Aug 15;22(1):619. doi: 10.1186/s12909-022-03642-x.

ABSTRACT

BACKGROUND: Calling within the medical context receives growing academic attention and empirical research has started to demonstrate its beneficial effects. The purpose of this study is to investigate what motivates students to enter medical school and what role calling may play (i), to evaluate if calling influences the way in which they experience their studies (ii), and to compare medical students’ experience of calling with those of physicians.

METHODS: A questionnaire survey was distributed among medical students (N = 1048; response rate above 60%) of the University of Lausanne in Switzerland. It was supplemented by a group discussion between bachelor medical students (N = 8) and senior physicians (N = 4), focusing on different facets of calling. An existing data set of a survey among physicians, addressing calling with the same questionnaire, was used to compare students’ and physicians’ attitudes towards calling. Survey data were analyzed with the habitual statistical procedures for categorical and continuous variables. The group discussion was analyzed with thematic analysis.

RESULTS: The survey showed that experiencing calling is a motivational factor for study choice and influences positively choice consistency. Students experiencing calling differed from those who did not: they attributed different definitions to calling, indicated more often prosocial motivational factors for entering medical school and perceived the learning context as less burdensome. The analysis of the group discussion revealed that the concept of calling has a fluid definition. It was conceived as having the characteristics of a double-edged sword and as originating from within or outside or from a dialectic interplay between the inner and outer world. Finally, calling is experienced less often by physicians than by medical students, with a decreasing prevalence as the immersion in the clinical years of the study of medicine progresses.

CONCLUSIONS: Calling plays an important role in study choice and consistency of medical students. Given its relevance for medical students and its ramifications with the learning context, calling should become a topic of the reflexive parts of the medical curriculum. We critically discuss the role played by calling for medical students and provide some perspectives on how calling could be integrated in the reflection and teaching on physicianhood.

PMID:35971124 | DOI:10.1186/s12909-022-03642-x

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Nevin Manimala Statistics

Space-time dynamics regression models to assess variations of composite index for anthropometric failure across the administrative zones in Ethiopia

BMC Public Health. 2022 Aug 15;22(1):1550. doi: 10.1186/s12889-022-13939-7.

ABSTRACT

BACKGROUND: A single anthropometric index such as stunting, wasting, or underweight does not show the holistic picture of under-five children’s undernutrition status. To alleviate this problem, we adopted a multifaceted single index known as the composite index for anthropometric failure (CIAF). Using this undernutrition index, we investigated the disparities of Ethiopian under-five children’s undernutrition status in space and time.

METHODS: Data for analysis were extracted from the Ethiopian Demographic and Health Surveys (EDHSs). The space-time dynamics models were formulated to explore the effects of different covariates on undernutrition among children under five in 72 administrative zones in Ethiopia.

RESULTS: The general nested spatial-temporal dynamic model with spatial and temporal lags autoregressive components was found to be the most adequate (AIC = -409.33, R2 = 96.01) model. According to the model results, the increase in the percentage of breastfeeding mothers in the zone decreases the CIAF rates of children in the zone. Similarly, the increase in the percentages of parental education, and mothers’ nutritional status in the zones decreases the CIAF rate in the zone. On the hand, increased percentages of households with unimproved water access, unimproved sanitation facilities, deprivation of women’s autonomy, unemployment of women, and lower wealth index contributed to the increased CIAF rate in the zone.

CONCLUSION: The CIAF risk factors are spatially and temporally correlated across 72 administrative zones in Ethiopia. There exist geographical differences in CIAF among the zones, which are influenced by spatial neighborhoods of the zone and temporal lags within the zone. Hence these findings emphasize the need to take the spatial neighborhood and historical/temporal contexts into account when planning CIAF prevention.

PMID:35971115 | DOI:10.1186/s12889-022-13939-7

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Nevin Manimala Statistics

Alveolar soft part sarcoma: progress toward improvement in survival? A population-based study

BMC Cancer. 2022 Aug 15;22(1):891. doi: 10.1186/s12885-022-09968-5.

ABSTRACT

BACKGROUND: Alveolar soft part sarcoma (ASPS) is a rare histological subtype of soft-tissue sarcoma, which remains refractory to conventional cytotoxic chemotherapy. We aimed to characterize ASPS and investigate whether the oncological outcome has improved over the past decade.

METHODS: One hundred and twenty patients with newly diagnosed ASPS from 2006 to 2017, identified from the Bone and Soft-Tissue Tumor Registry in Japan, were analyzed retrospectively.

RESULTS: The study cohort comprised 34 (28%) patients with localized ASPS and 86 (72%) with metastatic disease at presentation. The 5-year disease-specific survival (DSS) was 68% for all patients and 86% and 62% for localized and metastatic disease, respectively (p = 0.019). Metastasis at presentation was the only adverse prognostic factor for DSS (hazard ratio [HR]: 7.65; p = 0.048). Patients who were > 25 years (80%; p = 0.023), had deep-seated tumors (75%; p = 0.002), and tumors > 5 cm (5-10 cm, 81%; > 10 cm, 81%; p < 0.001) were more likely to have metastases at presentation. In patients with localized ASPS, adjuvant chemotherapy or radiotherapy did not affect survival, and 13 patients (45%) developed distant metastases in the lung (n = 12, 92%) and brain (n = 2, 15%). In patients with metastatic ASPS (lung, n = 85 [99%]; bone, n = 12 [14%]; and brain n = 9 [11%]), surgery for the primary or metastatic site did not affect survival. Prolonged survival was seen in patients who received pazopanib treatment (p = 0.045), but not in those who received doxorubicin-based cytotoxic chemotherapy. Overall, improved DSS for metastatic ASPS has been observed since 2012 (5-year DSS, from 58 to 65%) when pazopanib was approved for advanced diseases, although without a statistically significant difference (p = 0.117).

CONCLUSION: The national study confirmed a unique feature of ASPS with frequent metastasis to the lung and brain but an indolent clinical course. An overall trend toward prolonged survival after the introduction of targeted therapy encourages continuous efforts to develop novel therapeutic options for this therapeutically resistant soft-tissue sarcoma.

PMID:35971085 | DOI:10.1186/s12885-022-09968-5

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Nevin Manimala Statistics

Primary care physicians’ knowledge and attitudes about obesity, adherence to treatment guidelines and association with confidence to treat obesity: a Swedish survey study

BMC Prim Care. 2022 Aug 16;23(1):208. doi: 10.1186/s12875-022-01811-x.

ABSTRACT

BACKGROUND: Obesity is a chronic disease with increasing prevalence. We aimed to explore primary care physicians’ knowledge and attitudes about obesity and how knowledge and attitudes are associated with confidence and adherence to obesity guidelines and barriers to obesity treatment.

METHODS: A questionnaire survey was sent by e-mail to 1642 primary care physicians in four regions in Sweden. The survey focused on the physicians’ knowledge, attitudes towards obesity, confidence in obesity management, adherence to obesity guidelines and barriers to optimal care. We created different statistical indices for knowledge, attitudes and adherence. To analyse the correlation between these indices, we used linear regression analyses.

RESULTS: Replies from 235 primary care physicians yielded a response rate of 14.3%. Most physicians answered correctly that obesity is a disease (91%), that obesity regulation sits in the hypothalamus (70%) and that obesity is due to disorders of appetite regulation (69%). However, 44% of the physicians thought that the most effective weight reduction method for severe obesity was lifestyle changes; 47% believed that obesity is due to lack of self-control, 14% mentioned lack of motivation and 22% stated laziness. Although 97% believed that physicians can help individuals with obesity and 56% suggested that obesity treatment should be prioritised, 87% of the physicians expressed that losing weight is the patients’ responsibility. There was a positive association between higher knowledge and better adherence to obesity guidelines (B = 0.07, CI 0.02-0.12, p-value = 0.005) and feeling confident to suggest medication (p < 0.001) or bariatric surgery (p = 0.002). While 99% of the physicians felt confident to discuss lifestyle changes, 67% and 81% were confident to suggest medication or bariatric surgery, respectively. Respondents perceived that the greatest barrier in obesity management was lack of time (69%) and resources (49%).

CONCLUSION: There was a positive association between Swedish primary care physicians’ knowledge and adherence to obesity guidelines and being more confident to suggest obesity treatment. Yet, many physicians had an ambivalent attitude towards obesity management.

PMID:35971075 | DOI:10.1186/s12875-022-01811-x

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Nevin Manimala Statistics

On model-based time trend adjustments in platform trials with non-concurrent controls

BMC Med Res Methodol. 2022 Aug 15;22(1):228. doi: 10.1186/s12874-022-01683-w.

ABSTRACT

BACKGROUND: Platform trials can evaluate the efficacy of several experimental treatments compared to a control. The number of experimental treatments is not fixed, as arms may be added or removed as the trial progresses. Platform trials are more efficient than independent parallel group trials because of using shared control groups. However, for a treatment entering the trial at a later time point, the control group is divided into concurrent controls, consisting of patients randomised to control when that treatment arm is in the platform, and non-concurrent controls, patients randomised before. Using non-concurrent controls in addition to concurrent controls can improve the trial’s efficiency by increasing power and reducing the required sample size, but can introduce bias due to time trends.

METHODS: We focus on a platform trial with two treatment arms and a common control arm. Assuming that the second treatment arm is added at a later time, we assess the robustness of recently proposed model-based approaches to adjust for time trends when utilizing non-concurrent controls. In particular, we consider approaches where time trends are modeled either as linear in time or as a step function, with steps at time points where treatments enter or leave the platform trial. For trials with continuous or binary outcomes, we investigate the type 1 error rate and power of testing the efficacy of the newly added arm, as well as the bias and root mean squared error of treatment effect estimates under a range of scenarios. In addition to scenarios where time trends are equal across arms, we investigate settings with different time trends or time trends that are not additive in the scale of the model.

RESULTS: A step function model, fitted on data from all treatment arms, gives increased power while controlling the type 1 error, as long as the time trends are equal for the different arms and additive on the model scale. This holds even if the shape of the time trend deviates from a step function when patients are allocated to arms by block randomisation. However, if time trends differ between arms or are not additive to treatment effects in the scale of the model, the type 1 error rate may be inflated.

CONCLUSIONS: The efficiency gained by using step function models to incorporate non-concurrent controls can outweigh potential risks of biases, especially in settings with small sample sizes. Such biases may arise if the model assumptions of equality and additivity of time trends are not satisfied. However, the specifics of the trial, scientific plausibility of different time trends, and robustness of results should be carefully considered.

PMID:35971069 | DOI:10.1186/s12874-022-01683-w

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Nevin Manimala Statistics

Geography vs. past climate: the drivers of population genetic structure of the Himalayan langur

BMC Ecol Evol. 2022 Aug 15;22(1):100. doi: 10.1186/s12862-022-02054-1.

ABSTRACT

BACKGROUND: Contemporary species distribution, genetic diversity and evolutionary history in many taxa are shaped by both historical and current climate as well as topography. The Himalayas show a huge variation in topography and climatic conditions across its entire range, and have experienced major climatic fluctuations in the past. However, very little is known regarding how this heterogenous landscape has moulded the distribution of Himalayan fauna. A recent study examined the effect of these historical events on the genetic diversity of the Himalayan langurs in Nepal Himalaya. However, this study did not include the samples from the Indian Himalayan region (IHR). Therefore, here we revisit the questions addressed in the previous study with a near complete sampling from the IHR, along with the samples from the Nepal Himalaya. We used the mitochondrial Cytochrome-b (Cyt-b, 746 bp) region combined with multiple phylogeographic analyses and palaeodistribution modelling.

RESULTS: Our dataset contained 144 sequences from the IHR as well as the Nepal Himalaya. Phylogenetic analysis showed a low divergent western clade nested within high divergent group of eastern lineages and in the network analysis we identified 22 haplotypes over the entire distribution range of the Himalayan langurs. Samples from the Nepal Himalaya showed geographically structured haplotypes corresponding to different river barriers, whereas samples from IHR showed star-like topology with no structure. Our statistical phylogeography analysis using diyABC supported the model of east to west colonisation of these langurs with founder event during colonisation. Analysis of demographic history showed that the effective population size of the Himalayan langurs decreased at the onset of last glacial maximum (LGM) and started increasing post LGM. The palaeodistribution modelling showed that the extent of suitable habitat shifted from low elevation central Nepal, and adjoining parts of north India, during LGM to the western Himalaya at present.

CONCLUSION: The current genetic diversity and distribution of Himalayan langurs in the Nepal Himalaya has been shaped by river barriers, whereas the rivers in the IHR had relatively less time to act as a strong genetic barrier after the recent colonisation event. Further, the post LGM expansion could have had confounding effect on Himalayan langur population structure in both Nepal Himalaya and IHR.

PMID:35971061 | DOI:10.1186/s12862-022-02054-1

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Nevin Manimala Statistics

An integrated biomarker assessment of biochemical responses in a freshwater fish species after vanadium pentoxide (V2O5) exposure

Fish Physiol Biochem. 2022 Aug 16. doi: 10.1007/s10695-022-01113-0. Online ahead of print.

ABSTRACT

Vanadium (V) is a toxicant becoming increasingly concentrated in freshwater with the potential to affect aquatic organisms. Vanadium pentoxide (V2O5), accumulated in fish, can act as an oxidizing agent and cause oxidative damage. To determine the effects of V2O5 on exposed adult Oreochromis mossambicus, acute exposure experiments were conducted. Bioaccumulation and biomarker analyses were performed on various excised tissues of the exposed fish. As expected, accumulated V concentrations in the gills increased as the exposure concentration increased. Gill tissue accumulated more vanadium than muscle tissue. Metallothionein content increased in the highest concentrations compared to the lower concentrations, therefore showing that metallothionein proteins were attempting to sequester V2O5 in the tissues. Superoxide dismutase (SOD) showed an excitation at lower concentrations and inhibition as the exposure concentrations increased, possibly due to ROS detoxification. Catalase activity decreased from the first exposure concentration to the last concentration; this could have been due to SOD compensation. Protein carbonyl concentration decreased as the concentrations of V2O5 increased, indicating an inhibition of protein oxidation. The IBRv2 comparison revealed the biochemical responses caused by V2O5 more effectively than traditional statistical analysis.

PMID:35971046 | DOI:10.1007/s10695-022-01113-0

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Statistical optimization of media components for production of extracellular lipase from edible mushroom Cantharellus cibarius

Biol Futur. 2022 Aug 15. doi: 10.1007/s42977-022-00131-6. Online ahead of print.

ABSTRACT

Cantharellus cibarius is a wild edible mushrooms and considered as a plethora of compounds with potential biotechnological applications. This study highlighted the utilization of C. cibarius mushroom in the production of extracellular lipase under submerged fermentation, representing the first report on lipase production by this mushroom. Various physicochemical factors were optimized via one-factor-at-a time (OFAT) method. Maximum enzyme production was recorded when the mushroom mycelium was grown at 30 °C on pH 6.0 for 96 h in the medium supplemented with 1% [(v/v)] olive oil. Productivity of enzyme was affected by variation in the nitrogen sources, carbon sources, metal ions and NaCl salt. Glucose and peptone significantly enhanced enzyme production as carbon and nitrogen sources, respectively. Stimulatory and inhibitory effects were found by Ca2+ and Zn2+ ions, respectively. Furthermore, Box-Behnken Design (BBD) of Response Surface Methodology (RSM) was employed to optimize the interactive effects of specific media components like glucose, olive oil and CaCl2. The regression model was significant with a coefficient of determination (R2) value of 0.9483. Statistically optimized design (RSM) resulted approximately two-fold increase (23.5-42.283 UmL-1) of lipase production than classical optimization method (OFAT), confirmed the validation of model. The kinetic parameters for p-nitrophenyl palmitate hydrolysis, Km and Vmax were 5.24 mM and 0.768 mmol/min/mg respectively, established a high affinity for the substrate.

PMID:35971039 | DOI:10.1007/s42977-022-00131-6