Category: Nevin Manimala

Oral Radiol. 2022 Oct 21. doi: 10.1007/s11282-022-00660-9. Online ahead of print.

ABSTRACT

This study aimed at performing a systematic review of the literature on the application of artificial intelligence (AI) in dental and maxillofacial cone beam computed tomography (CBCT) and providing comprehensive descriptions of current technical innovations to assist future researchers and dental professionals. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA) Statement was followed. The study’s protocol was prospectively registered. Following databases were searched, based on MeSH and Emtree terms: PubMed/MEDLINE, Embase and Web of Science. The search strategy enrolled 1473 articles. 59 publications were included, which assessed the use of AI on CBCT images in dentistry. According to the PROBAST guidelines for study design, seven papers reported only external validation and 11 reported both model building and validation on an external dataset. 40 studies focused exclusively on model development. The AI models employed mainly used deep learning models (42 studies), while other 17 papers used conventional approaches, such as statistical-shape and active shape models, and traditional machine learning methods, such as thresholding-based methods, support vector machines, k-nearest neighbors, decision trees, and random forests. Supervised or semi-supervised learning was utilized in the majority (96.62%) of studies, and unsupervised learning was used in two (3.38%). 52 publications included studies had a high risk of bias (ROB), two papers had a low ROB, and four papers had an unclear rating. Applications based on AI have the potential to improve oral healthcare quality, promote personalized, predictive, preventative, and participatory dentistry, and expedite dental procedures.

PMID:36269515 | DOI:10.1007/s11282-022-00660-9

Matern Child Health J. 2022 Oct 21. doi: 10.1007/s10995-022-03506-2. Online ahead of print.

ABSTRACT

OBJECTIVES: Social and structural barriers drive disparities in prenatal care utilization among minoritized women in the United States. This study examined the impact of Arizona’s Health Start Program, a community health worker (CHW) home visiting intervention, on prenatal care utilization among an ethno-racially and geographically diverse cohort of women.

METHODS: We used Health Start administrative and state birth certificate data to identify women enrolled in the program during 2006-2016 (n = 7,117). Propensity score matching was used to generate a statistically-similar comparison group (n = 53,213) of women who did not participate in the program. Odds ratios were used to compare rates of prenatal care utilization. The process was repeated for select subgroups, with post-match regression adjustments applied where necessary.

RESULTS: Health Start participants were more likely to report any (OR 1.24, 95%CI 1.02-1.50) and adequate (OR 1.08, 95%CI 1.01-1.16) prenatal care, compared to controls. Additional specific subgroups were significantly more likely to receive any prenatal care: American Indian women (OR 2.22, 95%CI 1.07-4.60), primipara women (OR 1.64, 95%CI 1.13-2.38), teens (OR 1.58, 95%CI 1.02-2.45), women in rural border counties (OR 1.45, 95%CI 1.05-1.98); and adequate prenatal care: teens (OR 1.31, 95%CI 1.11-1.55), women in rural border counties (OR 1.18, 95%CI 1.05-1.33), primipara women (OR 1.18, 95%CI 1.05-1.32), women with less than high school education (OR 1.13, 95%CI 1.00-1.27).

CONCLUSIONS FOR PRACTICE: A CHW-led perinatal home visiting intervention operated through a state health department can improve prenatal care utilization among demographically and socioeconomically disadvantaged women and reduce maternal and child health inequity.

PMID:36269498 | DOI:10.1007/s10995-022-03506-2

Hist Philos Life Sci. 2022 Oct 21;44(4):49. doi: 10.1007/s40656-022-00528-5.

ABSTRACT

This paper contributes to the ongoing reassessment of the controversy between William Bateson and Karl Pearson by characterising what we call “Batesonian Mendelism” and “Pearsonian biometry” as coherent and competing scientific outlooks. Contrary to the thesis that such a controversy stemmed from diverging theoretical commitments on the nature of heredity and evolution, we argue that Pearson’s and Bateson’s alternative views on those processes ultimately relied on different appraisals of the methodological value of the statistical apparatus developed by Francis Galton. Accordingly, we contend that Bateson’s belief in the primacy of cross-breeding experiments over statistical analysis constituted a minimal methodological unifying condition ensuring the internal coherence of Batesonian Mendelism. Moreover, this same belief implied a view of the study of heredity and evolution as an experimental endeavour and a conception of heredity and evolution as fundamentally discontinuous processes. Similarly, we identify a minimal methodological unifying condition for Pearsonian biometry, which we characterise as the view that experimental methods had to be subordinate to statistical analysis, according to methodological standards set by biometrical research. This other methodological commitment entailed conceiving the study of heredity and evolution as subsumable under biometry and primed Pearson to regard discontinuous hereditary and evolutionary processes as exceptions to a statistical norm. Finally, we conclude that Batesonian Mendelism and Pearsonian biometry represented two potential versions of a single genetics-based evolutionary synthesis since the methodological principles and the phenomena that played a central role in the former were also acknowledged by the latter-albeit as fringe cases-and conversely.

PMID:36269490 | DOI:10.1007/s40656-022-00528-5

J Robot Surg. 2022 Oct 21. doi: 10.1007/s11701-022-01462-1. Online ahead of print.

ABSTRACT

Laparoscopic rectal surgery within the confines of a narrow pelvis may be associated with a high rate of open conversion. In the obese and morbidly obese patient, the complexity of laparoscopic surgery increases substantially. Robotic technology is known to reduce the risk of conversion, but it is unclear if it can overcome the technical challenges associated with obesity. The ACS NSQIP database was used to identify obese patients who underwent elective laparoscopic or robotic-assisted rectal resection from 2015 to 2016. Obesity was defined as a body mass index (BMI) greater than or equal to 30 kg/m². Morbid obesity was defined as a BMI greater than or equal to 35 kg/m². The primary outcome was unplanned conversions to open. Other outcomes measures assessed included anastomotic leak, operative time, surgical site infections, length of hospital stay, readmissions and mortality. Statistical analyses were performed using SPSS 22.0 (IBM SPSS, USA). 1490 patients had robotic-assisted and 4967 patients had laparoscopic rectal resections between 2015 and 2016. Of those patients, 561 obese patients had robotic-assisted rectal resections and 1824 patients underwent laparoscopic rectal surgery. In the obese cohort, the rate of unplanned conversion to open in the robotic group was 14% compared to 24% in the laparoscopic group (P < 0.0001). Median operative time was significantly longer in the robotic group (248 min vs. 215 min, P < 0.0001). There was no difference in anastomotic leak or systemic sepsis between the laparoscopic and robotic rectal surgery groups. In morbidly obese patients (BMI ≥ 35 kg/m²), the rate of unplanned conversion to open in the robotic group was 19% compared to 26% in the laparoscopic group (P < 0.027). There was no difference in anastomotic leak, systemic sepsis or surgical site infection rates between robotic and laparoscopic rectal resection. Multivariate analysis showed that robotic-assisted surgery was associated with fewer unplanned conversions to open (OR 0.28, P < 0.0001). Robotic-assisted surgery is associated with a decreased risk of conversion to open in obese and morbidly obese patients when compared to conventional laparoscopic surgery. However, robotic surgery was associated with longer operative time and despite improvement in the rate of conversion to open, there was no difference in complications or length of stay. Our findings are limited by the retrospective non-randomised nature of the study, demographic differences between the two groups, and the likely difference in surgeon experience between the two groups. Large randomised controlled studies are needed to further explore the role of robotic rectal surgery in obese and morbidly obese patients.

PMID:36269488 | DOI:10.1007/s11701-022-01462-1

Clin Oral Investig. 2022 Oct 21. doi: 10.1007/s00784-022-04717-1. Online ahead of print.

ABSTRACT

OBJECTIVES: This study evaluates the impact of systemic medications and polypharmacy on unstimulated (UWS) and chewing-stimulated whole saliva (SWS) flow rates in patients with xerostomia.

MATERIAL AND METHODS: This cross-sectional multicenter study is based on data of patients referred to five oral medicine outpatient practices in Europe and USA from January 2000 and April 2014. Relevant demographic, social, medical history and current medications were collected.

RESULTS: The study included 1144 patients, 972 (85%) females, with a mean (SD) age of 59 (14.1) years. In unmatched patients, the UWS flow rate was lower in patients taking a medication (vs. not taking a medication) from the following drug categories: opioid analgesics, anticonvulsants, antidepressants, antihypertensives, benzodiazepines, corticosteroids, diuretics, disease-modifying antirheumatic drugs (DMARDs) and hormones. There was a greater negative effect on SWS flow rate in patients taking (vs. not taking) anticonvulsants, antidepressants, benzodiazepines, corticosteroids, and DMARDs. In matched patients, both UWS (0.22 vs. 0.19 ml/min; p = 0.03) and SWS (0.97 vs. 0.85 ml/min; p = .017) flow rates were higher in patients on non-opioid analgesics (vs. not taking). The UWS flow rate was lower in patients taking antidepressants (vs. not taking) (0.16 vs. 0.22 ml/min p = .002) and higher (and within normal range) in patients taking sex hormones (vs. not taking) (0.25 vs. 0.16 ml/min; p = .005). On the other hand, SWS was lower in patients taking corticosteroid (vs. not taking) (0.76 vs. 1.07 ml/min; p = .002), and in patients taking DMARDs (vs. not taking) (0.71 vs. 0.98 ml/min; p = .021). Finally, differences in medians of both UWS and SWS were statistically significant in patients taking 1 or more than 1 opioid analgesic (vs. not taking, p ≤ .0001 and p = .031, respectively), 1 or more than 1 anticonvulsants (vs. not taking, p = .008 and p = .007), 1 or more than 1 antidepressants (vs. not taking, p < .0001 for both), 1 or more than 1 DMARDs (vs. not taking, p = .042, and p = .003).

CONCLUSIONS: A greater negative impact on UWS and SWS flow rates was seen in patients taking more than one medication from the same drug class. Intake of antidepressants, corticosteroids and DMARDs is associated with lower whole saliva flow rates.

CLINICAL RELEVANCE: Salivary flow rate can be modified by some specific medications, mostly by polypharmacy.

PMID:36269468 | DOI:10.1007/s00784-022-04717-1

Environ Monit Assess. 2022 Oct 17;194(12):899. doi: 10.1007/s10661-022-10585-9.

ABSTRACT

Total hardness (TH) is an important index representing the water suitability for domestic purpose. TH is represented mainly by Ca²⁺ and Mg²⁺ which are essential elements for human bone development. Between 2000 and 2015, the TH values of groundwater in major cities of the Guanzhong Plain varied significantly. The study was carried out to investigate TH variation over 16 years and to examine how effective the grey Markov model was in predicting TH concentrations in time series datasets. The hydrochemical parameters determining TH concentration and their origins were investigated using statistical analysis and geochemical models. The grey Markov model, which is effective in short time series prediction, was used to forecast the multi-time series of TH. The findings demonstrated a prevalence of HCO₃^– and SO₄^2- in the groundwater types combined with calcite precipitation, gypsum, and dolomite dissolution that increased the concentration of Ca²⁺, Mg²⁺, and HCO₃^–, influencing TH variation. The predicted TH values of the eight monitoring wells for the year 2016 were 1213.66, 124.30, 203.66, 103.01, 349.56, 251.23, 453.31, and 471.81 mg/L, respectively. Datasets with low TH variation were more accurately predicted than datasets with high TH variation. This was especially observed on sample B557 where TH concentration in 2010 was 400.33 mg/L and suddenly dropped to 90.1, 82.6, 85.1, 87.6, and 75.1 mg/L in 2011, 2012, 2013, 2014, and 2015, respectively. The study also shows that the Markov chain model can optimize the GM(1,1) model and improve the prediction accuracy significantly. All samples in Weinan City and one sample in Xi’an City showed a significant decrease in TH concentration. Except one sample in Xi’an City, TH concentrations tended to rise in the other cities (Baoji, Xianyang) of the Guanzhong Plain. This study verified the reliability of the grey Markov model in terms of forecasting time series datasets with high variability, and the results can be referential to similar studies in the world.

PMID:36269437 | DOI:10.1007/s10661-022-10585-9

Environ Monit Assess. 2022 Oct 21;195(1):6. doi: 10.1007/s10661-022-10567-x.

ABSTRACT

Pen shell species such as Pinna bicolor and Pinna deltodes are found in the muddy region associated with intertidal seagrass in the coastal area of Pudupattinam. The pen shell is one of the sources of animal protein-rich, thereby encouraging the community of pen shells and their study worldwide. The water samples were collected for a year between January to December 2016 and analysed. Salinity (30.1-31.5‰), pH (8.1-8.2), EC value (39.79 103-46.09103 mho), turbidity 25-54 NTU, TSS value (5.51-108 mg/l), DO (4.45-5.74 ml/l), BOD (0.175 -1.05 mg/l), chemical oxygen demand (9.6-39.1 mg/l), chloride 14,276.8-16,124.9 mg/l), sulphate (1975.3-25 mg/l), ammonia (0.022-0.112 μm/l), inorganic phosphate (0.754 μm/l and maximum 1.568 μm/l), total nitrogen (10.829-29.509 μm/l), total phosphate (1.76-3.174 μm/l) and silicate (42.264-64.121 μm/l). Minimum and maximum water temperature ranges (26.9-30.6 °C) were recorded. A total of 623 Pinna bicolor and 1341 Pinna deltodes were collected during the same time and consisted of 305 males and 318 females and 558 males and 783 females, respectively. The improvements in the parameters of physico-chemical and statistical analysis have been shown to have a minor effect on the distribution of these two species in the present research, as environmental factors were not sufficient to influence their distribution.

PMID:36269436 | DOI:10.1007/s10661-022-10567-x

Environ Monit Assess. 2022 Oct 21;195(1):5. doi: 10.1007/s10661-022-10648-x.

ABSTRACT

The cationic and anionic composition in groundwater can be better understood by identifying the type of hydrogeochemical processes influencing groundwater chemistry. This research deals with the characterization of groundwater samples by considering the likely role of hydrogeochemical processes and the factors responsible for the weathering process. The study applies statistical methods and supervised machine learning algorithm (i.e., logistic regression model) on the large data set of 1300 water samples from the Lahore district of Punjab, Pakistan. All the water samples were collected by the local authorities from a deep unconfined aquifer (> 350 ft in depth) for the years of 2005 to 2016. The characterization of groundwater quality parameters includes pH, total dissolved solids (TDS), electrical conductivity (EC), total hardness (TH), calcium (Ca²⁺), magnesium (Mg²⁺), sodium (Na⁺), potassium (K⁺), chloride (Cl^–), bicarbonate (HCO₃^–), nitrate (NO₃^–), and sulfate (SO₄^2-). The results show the sequence of the major ion in the following order: Na⁺ > Ca²⁺ > Mg⁺ > K⁺ and HCO₃^2- > SO₄^2- > Cl^– > NO₃^–. The ionic ratios and Gibb’s plot revealed that the prominent hydrogeochemical facies of aquifer water is Ca-HCO₃, Ca-Na-HCO₃, and mixed Ca-Mg-Cl type rock-weathering process, especially carbonate and silicate weathering, as significant process controlling water chemistry. The statistical evaluation of the prepared regression model determined its prediction accuracy as 92.2%, which means the model is highly efficient and satisfies the analysis. The outcomes of this study favor the utilization of such methods for other areas with large data sets.

PMID:36269432 | DOI:10.1007/s10661-022-10648-x

Health Justice. 2022 Oct 21;10(1):31. doi: 10.1186/s40352-022-00194-6.

ABSTRACT

INTRODUCTION: Mass incarceration has mental health consequences on those directly affected; some studies have also shown spillover effects on the physical health of the surrounding population. There is a dearth of research on the spillover mental health consequences of mass incarceration. This study aimed to quantify a consequence of mass incarceration which may adversely affect the population’s health and widen health disparities.

METHODS: Using data from the Vera Institute’s Incarceration Trends 2.2 and the Robert Wood Johnson County Health Rankings, the association between county-level (n = 2823) counts of jail incarceration and reported number of poor mental health days within the past 30 days in the United States in 2018 was examined. To conduct the analysis, a negative binomial regression model was fit, adjusting for State and key demographic covariates.

RESULTS: A change in jail incarceration rate from the first to the second and third tertiles was associated with 10.14% and 14.52% increases, respectively. For every 1% increase in the rate of mass incarceration, there was a statistically significant 15% increase in the average number of reported poor mental health days over the past 30 days.

DISCUSSION: Mass incarceration is a threat to mental health as well as the well-being of the surrounding population. This can be attributed to the spillover effects that extend beyond those who are directly affected by mass incarceration. Interventions to reduce jail incarceration as well as address the mental health needs of those living in high-incarceration rate areas should be prioritized in order to reduce health inequities and augment health outcomes for all residents of the United States.

PMID:36269431 | DOI:10.1186/s40352-022-00194-6

Eur J Orthop Surg Traumatol. 2022 Oct 21. doi: 10.1007/s00590-022-03404-x. Online ahead of print.

ABSTRACT

PURPOSE: The purpose of this study was to investigate the amount of saline required to identify a positive traumatic shoulder arthrotomy in a cadaveric model. In addition, intra-articular pressure monitoring was conducted to confirm needle placement and evaluate peak pressure curves prior to capsular failure.

METHODS: We conducted a cadaveric study using thirty fresh-frozen upper extremities with maintained glenohumeral joint. A shoulder arthrotomy was made in the deltopectoral interval using a 4.4-mm trocar. The joint was loaded using an 18-gauge spinal needle inserted posteriorly and attached to a pressure monitoring system. Fluid was introduced at a uniform rate of 1 cc/sec until active extravasation was visualized from the anterior arthrotomy site. Statistical analysis included assessment of distribution, ANOVA and linear regression.

RESULTS: A positive joint challenge was obtained in all specimens (n = 30) within a maximum of 59 ml of fluid (mean 28 ml, STD 15.4). Average intra-articular pressure at visualization (PAV) was 166.8 mmHg (min., 107; max., 268). In twelve specimens, peak pressures (PP) exceeded PAV, showing a corresponding fall in pressure prior to visualization (ΔPP-PAV = 16.5). To reach a sensitivity of 90% and 95% of arthrotomies, 50 and 58 ml of fluid had to be injected.

CONCLUSION: Results demonstrated 58 ml of fluid was required to identify a majority of shoulder arthrotomies. Intra-articular pressure monitoring identified successful needle placement. Pressure curve analysis could identify capsular failure before fluid extravasation visualization which could enhance clinical identification and treatment of traumatic shoulder arthrotomies.

LEVEL OF EVIDENCE: Level IV Diagnostic.

PMID:36269430 | DOI:10.1007/s00590-022-03404-x