Displaying publications 101 - 120 of 9658 in total

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  1. Fulltext Why more successful? An analysis of participants' self-monitoring data in an online weight loss intervention
    Tang HB, Jalil NIBA, Tan CS, He L, Zhang SJ
    BMC Public Health, 2024 Jan 29;24(1):322.
    PMID: 38287333 DOI: 10.1186/s12889-024-17848-9
    BACKGROUND: Self-monitoring is crucial for behavioral weight loss. However, few studies have examined the role of self-monitoring using mixed methods, which may hinder our understanding of its impact.

    METHODS: This study examined self-monitoring data from 61 Chinese adults who participated in a 5-week online group intervention for weight loss. Participants reported their baseline Body Mass Index (BMI), weight loss motivation, and engaged in both daily quantitative self-monitoring (e.g., caloric intake, mood, sedentary behavior, etc.) and qualitative self-monitoring (e.g., daily log that summarizes the progress of weight loss). The timeliness of participants' daily self-monitoring data filling was assessed using a scoring rule. One-way repeated measurement ANOVA was employed to analyze the dynamics of each self-monitoring indicator. Correlation and regression analyses were used to reveal the relationship between baseline data, self-monitoring indicators, and weight change. Content analysis was utilized to analyze participants' qualitative self-monitoring data. Participants were categorized into three groups based on their weight loss outcomes, and a chi-square test was used to compare the frequency distribution between these groups.

    RESULTS: After the intervention, participants achieved an average weight loss of 2.52 kg (SD = 1.36) and 3.99% (SD = 1.96%) of their initial weight. Daily caloric intake, weight loss satisfaction, frequency of daily log, and the speed of weight loss showed a downward trend, but daily sedentary time gradually increased. Moreover, regression analysis showed that baseline BMI, weight loss motivation, and timeliness of daily filling predicted final weight loss. Qualitative self-monitoring data analysis revealed four categories and nineteen subcategories. A significant difference in the frequency of qualitative data was observed, with the excellent group reporting a greater number of daily logs than expected in all categories and most subcategories, and the moderate and poor groups reporting less than expected in all categories and most subcategories.

    CONCLUSION: The self-monitoring data in short-term online group intervention exhibited fluctuations. Participants with higher baseline BMI, higher levels of weight loss motivation, and timely self-monitoring achieved more weight loss. Participants who achieved greater weight loss reported a higher quantity of qualitative self-monitoring data. Practitioners should focus on enhancing dieters' weight loss motivation and promote adherence to self-monitoring practices.

    Matched MeSH terms: Behavior Therapy/methods
  2. Fulltext Temperature vegetation dryness index (TVDI) for drought monitoring in the Guangdong Province from 2000 to 2019
    Chen A, Jiang J, Luo Y, Zhang G, Hu B, Wang X, et al.
    PeerJ, 2023;11:e16337.
    PMID: 38130929 DOI: 10.7717/peerj.16337
    Drought monitoring is crucial for assessing and mitigating the impacts of water scarcity on various sectors and ecosystems. Although traditional drought monitoring relies on soil moisture data, remote sensing technology has have significantly augmented the capabilities for drought monitoring. This study aims to evaluate the accuracy and applicability of two temperature vegetation drought indices (TVDI), TVDINDVI and TVDIEVI, constructed using the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) vegetation indices for drought monitoring. Using Guangdong Province as a case, enhanced versions of these indices, developed through Savitzky-Golay filtering and terrain correction were employed. Additionally, Pearson correlation analysis and F-tests were utilized to determine the suitability of the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) in correlation with TVDINDVI and TVDIEVI. The results show that TVDINDVI had more meteorological stations passing both significance test levels (P 
    Matched MeSH terms: Environmental Monitoring/methods
  3. Paroxysmal Hypertension Associated With Urination
    Lou Y, Fan L, Hou X, Dominiczak AF, Wang JG, Staessen JA, et al.
    Hypertension, 2019 11;74(5):1068-1074.
    PMID: 31564165 DOI: 10.1161/HYPERTENSIONAHA.119.13140
    Matched MeSH terms: Cystectomy/methods; Positron Emission Tomography Computed Tomography/methods*
  4. Fulltext Dense sampling of bird diversity increases power of comparative genomics
    Feng S, Stiller J, Deng Y, Armstrong J, Fang Q, Reeve AH, et al.
    Nature, 2020 11;587(7833):252-257.
    PMID: 33177665 DOI: 10.1038/s41586-020-2873-9
    Whole-genome sequencing projects are increasingly populating the tree of life and characterizing biodiversity1-4. Sparse taxon sampling has previously been proposed to confound phylogenetic inference5, and captures only a fraction of the genomic diversity. Here we report a substantial step towards the dense representation of avian phylogenetic and molecular diversity, by analysing 363 genomes from 92.4% of bird families-including 267 newly sequenced genomes produced for phase II of the Bird 10,000 Genomes (B10K) Project. We use this comparative genome dataset in combination with a pipeline that leverages a reference-free whole-genome alignment to identify orthologous regions in greater numbers than has previously been possible and to recognize genomic novelties in particular bird lineages. The densely sampled alignment provides a single-base-pair map of selection, has more than doubled the fraction of bases that are confidently predicted to be under conservation and reveals extensive patterns of weak selection in predominantly non-coding DNA. Our results demonstrate that increasing the diversity of genomes used in comparative studies can reveal more shared and lineage-specific variation, and improve the investigation of genomic characteristics. We anticipate that this genomic resource will offer new perspectives on evolutionary processes in cross-species comparative analyses and assist in efforts to conserve species.
    Matched MeSH terms: Genomics/methods*
  5. Alzheimer's disease prediction algorithm based on de-correlation constraint and multi-modal feature interaction
    Cheng J, Wang H, Wei S, Mei J, Liu F, Zhang G
    Comput Biol Med, 2024 Mar;170:108000.
    PMID: 38232453 DOI: 10.1016/j.compbiomed.2024.108000
    Alzheimer's disease (AD) is a neurodegenerative disease characterized by various pathological changes. Utilizing multimodal data from Fluorodeoxyglucose positron emission tomography(FDG-PET) and Magnetic Resonance Imaging(MRI) of the brain can offer comprehensive information about the lesions from different perspectives and improve the accuracy of prediction. However, there are significant differences in the feature space of multimodal data. Commonly, the simple concatenation of multimodal features can cause the model to struggle in distinguishing and utilizing the complementary information between different modalities, thus affecting the accuracy of predictions. Therefore, we propose an AD prediction model based on de-correlation constraint and multi-modal feature interaction. This model consists of the following three parts: (1) The feature extractor employs residual connections and attention mechanisms to capture distinctive lesion features from FDG-PET and MRI data within their respective modalities. (2) The de-correlation constraint function enhances the model's capacity to extract complementary information from different modalities by reducing the feature similarity between them. (3) The mutual attention feature fusion module interacts with the features within and between modalities to enhance the modal-specific features and adaptively adjust the weights of these features based on information from other modalities. The experimental results on ADNI database demonstrate that the proposed model achieves a prediction accuracy of 86.79% for AD, MCI and NC, which is higher than the existing multi-modal AD prediction models.
    Matched MeSH terms: Magnetic Resonance Imaging/methods; Positron-Emission Tomography/methods; Neuroimaging/methods
  6. Fulltext Characterization of a novel orthoreovirus isolated from fruit bat, China
    Hu T, Qiu W, He B, Zhang Y, Yu J, Liang X, et al.
    BMC Microbiol, 2014;14:293.
    PMID: 25433675 DOI: 10.1186/s12866-014-0293-4
    In recent years novel human respiratory disease agents have been described for Southeast Asia and Australia. The causative pathogens were classified as pteropine orthoreoviruses with a strong phylogenetic relationship to orthoreoviruses of bat origin.
    Matched MeSH terms: Sequence Analysis, DNA/methods
  7. Fulltext Identification of a novel Getah virus by Virus-Discovery-cDNA random amplified polymorphic DNA (RAPD)
    Hu T, Zheng Y, Zhang Y, Li G, Qiu W, Yu J, et al.
    BMC Microbiol, 2012;12:305.
    PMID: 23268691 DOI: 10.1186/1471-2180-12-305
    The identification of new virus strains is important for the study of infectious disease, but current (or existing) molecular biology methods are limited since the target sequence must be known to design genome-specific PCR primers. Thus, we developed a new method for the discovery of unknown viruses based on the cDNA--random amplified polymorphic DNA (cDNA-RAPD) technique. Getah virus, belonging to the family Togaviridae in the genus Alphavirus, is a mosquito-borne enveloped RNA virus that was identified using the Virus-Discovery-cDNA RAPD (VIDISCR) method.
    Matched MeSH terms: Virology/methods*; Random Amplified Polymorphic DNA Technique/methods*
  8. Photodynamic inactivation of Burkholderia cepacia by curcumin in combination with EDTA
    Hu J, Lin S, Tan BK, Hamzah SS, Lin Y, Kong Z, et al.
    Food Res Int, 2018 09;111:265-271.
    PMID: 30007685 DOI: 10.1016/j.foodres.2018.05.042
    Burkholderia cepacia (B. cepacia) is an aerobic Gram-negative bacillus found in various aquatic environments and can cause food contamination. We investigated the photodynamic antibacterial effects of food additive curcumin combined with EDTA on B. cepacia. We found a ~4-log reduction in B. cepacia viability when photo-irradiated with curcumin at 50 μM by blue LED light (16 mW/cm2) for 30 min with 0.4% (w/v) EDTA. Moreover, the bacterial morphological alterations and the leakage of intracellular contents were observed after photodynamic treatment. There were also obvious genomic DNA cleavage and a general loss of bacterial proteins assigned to large-scale protein degradation after photodynamic inactivation treatment. Collectively, curcumin in combination with EDTA illuminated by blue LED is a potential candidate for photodynamic inactivation of B. cepacia.
    Matched MeSH terms: Food Irradiation/methods*
  9. Fulltext Strongyloides stercoralis induced bilateral blood stained pleural effusion in patient with recurrent Non-Hodgkin lymphoma
    Win TT, Sitiasma H, Zeehaida M
    Trop Biomed, 2011 Apr;28(1):64-7.
    PMID: 21602770
    Infections and mTalignancies are common causes of pleural effusion. Among infectious causes, hyperinfection syndrome of Strongyloides stercoralis may occur in immunosuppressive patient. A 62-year-old man, known case of Non-Hodgkin lymphoma (NHL) was presented with recurrent NHL stage IV and had undergone salvage chemotherapy. Patient subsequently developed pneumonia with bilateral pleural effusion and ascites. We reported rhabditiform larvae of S. stercoralis in pleural fluid of both lungs without infiltration by lymphoma cells. Stool for microscopic examination also revealed rhabditiform larvae of S. stercoralis. This patient was a known case of NHL receiving chemotherapy resulting in immunosuppression state. Although S. stercoralis infection is not very common compared to other parasitic infections, it is common in immunosuppressive patients and may present with hyperinfection. Therefore, awareness of this parasite should be kept in mind in immunosuppressive patients.
    Matched MeSH terms: Salvage Therapy/methods
  10. Fulltext A survey of parasitic infection on small ruminant farms in Kinta and Hilir Perak districts, Perak, Malaysia
    Chandrawathani P, Nurulaini R, Adnan M, Premalaatha B, Khadijah S, Jamnah O, et al.
    Trop Biomed, 2009 Apr;26(1):11-5.
    PMID: 19696722 MyJurnal
    This paper reports the occurrence of helminth and protozoan infections on small ruminants from eight farms situated in Kinta and Perak Tengah district, Perak. The results of this survey indicate that helminthiasis and coccidiosis is rampant in sheep and goat farms. Several anthelmintics have been used for the control of helminths. The smallholders depended on health and extention services from the State Veterinary Department. This survey is part of an ongoing programme by the Department of Veterinary Services to upgrade services and report the current status of parasitic diseases in the state.
    Matched MeSH terms: Animal Husbandry/methods
  11. Temporal patterns and source apportionment of nitrate-nitrogen leaching in a paddy field at Kelantan, Malaysia
    Hussain H, Yusoff MK, Ramli MF, Abd Latif P, Juahir H, Zawawi MA
    Pak J Biol Sci, 2013 Nov 15;16(22):1524-30.
    PMID: 24511695
    Nitrate-nitrogen leaching from agricultural areas is a major cause for groundwater pollution. Polluted groundwater with high levels of nitrate is hazardous and cause adverse health effects. Human consumption of water with elevated levels of NO3-N has been linked to the infant disorder methemoglobinemia and also to non-Hodgkin's disease lymphoma in adults. This research aims to study the temporal patterns and source apportionment of nitrate-nitrogen leaching in a paddy soil at Ladang Merdeka Ismail Mulong in Kelantan, Malaysia. The complex data matrix (128 x 16) of nitrate-nitrogen parameters was subjected to multivariate analysis mainly Principal Component Analysis (PCA) and Discriminant Analysis (DA). PCA extracted four principal components from this data set which explained 86.4% of the total variance. The most important contributors were soil physical properties confirmed using Alyuda Forecaster software (R2 = 0.98). Discriminant analysis was used to evaluate the temporal variation in soil nitrate-nitrogen on leaching process. Discriminant analysis gave four parameters (hydraulic head, evapotranspiration, rainfall and temperature) contributing more than 98% correct assignments in temporal analysis. DA allowed reduction in dimensionality of the large data set which defines the four operating parameters most efficient and economical to be monitored for temporal variations. This knowledge is important so as to protect the precious groundwater from contamination with nitrate.
    Matched MeSH terms: Environmental Monitoring/methods
  12. On tapir ecology, evolution and conservation: what we know and future perspectives-part I
    Gonçalves DA Silva A, Campos-Arceiz A, Zavada MS
    Integr Zool, 2012 Dec;7(4):329-330.
    PMID: 23253364 DOI: 10.1111/1749-4877.12015
    Matched MeSH terms: Conservation of Energy Resources/methods
  13. Design of interacting multi-stable nucleic acids for molecular information processing
    Ramlan EI, Zauner KP
    Biosystems, 2011 Jul;105(1):14-24.
    PMID: 21396427 DOI: 10.1016/j.biosystems.2011.02.006
    Despite an exponential increase in computing power over the past decades, present information technology falls far short of expectations in areas such as cognitive systems and micro robotics. Organisms demonstrate that it is possible to implement information processing in a radically different way from what we have available in present technology, and that there are clear advantages from the perspective of power consumption, integration density, and real-time processing of ambiguous data. Accordingly, the question whether the current silicon substrate and associated computing paradigm is the most suitable approach to all types of computation has come to the fore. Macromolecular materials, so successfully employed by nature, possess uniquely promising properties as an alternate substrate for information processing. The two key features of macromolecules are their conformational dynamics and their self-assembly capabilities. The purposeful design of macromolecules capable of exploiting these features has proven to be a challenge, however, for some groups of molecules it is increasingly practicable. We here introduce an algorithm capable of designing groups self-assembling of nucleic acid molecules with multiple conformational states. Evaluation using natural and artificially designed nucleic acid molecules favours this algorithm significantly, as compared to the probabilistic approach. Furthermore, the thermodynamic properties of the generated candidates are within the same approximation as the customised trans-acting switching molecules reported in the laboratory.
    Matched MeSH terms: Automatic Data Processing/methods*
  14. Assessment of groundwater vulnerability to anthropogenic pollution and seawater intrusion in a small tropical island using index-based methods
    Kura NU, Ramli MF, Ibrahim S, Sulaiman WN, Aris AZ, Tanko AI, et al.
    Environ Sci Pollut Res Int, 2015 Jan;22(2):1512-33.
    PMID: 25163562 DOI: 10.1007/s11356-014-3444-0
    In this work, the DRASTIC and GALDIT models were employed to determine the groundwater vulnerability to contamination from anthropogenic activities and seawater intrusion in Kapas Island. In addition, the work also utilized sensitivity analysis to evaluate the influence of each individual parameter used in developing the final models. Based on these effects and variation indices of the said parameters, new effective weights were determined and were used to create modified DRASTIC and GALDIT models. The final DRASTIC model classified the island into five vulnerability classes: no risk (110-140), low (140-160), moderate (160-180), high (180-200), and very high (>200), covering 4, 26, 59, 4, and 7 % of the island, respectively. Likewise, for seawater intrusion, the modified GALDIT model delineates the island into four vulnerability classes: very low (<90), low (90-110), moderate (110-130), and high (>130) covering 39, 33, 18, and 9 % of the island, respectively. Both models show that the areas that are likely to be affected by anthropogenic pollution and seawater intrusion are within the alluvial deposit at the western part of the island. Pearson correlation was used to verify the reliability of the two models in predicting their respective contaminants. The correlation matrix showed a good relationship between DRASTIC model and nitrate (r = 0.58). In a similar development, the correlation also reveals a very strong negative relationship between GALDIT model and seawater contaminant indicator (resistivity Ωm) values (r = -0.86) suggesting that the model predicts more than 86 % of seawater intrusion. In order to facilitate management strategy, suitable areas for artificial recharge were identified through modeling. The result suggested some areas within the alluvial deposit at the western part of the island as suitable for artificial recharge. This work can serve as a guide for a full vulnerability assessment to anthropogenic pollution and seawater intrusion in small islands and will help policy maker and manager with understanding needed to ensure sustainability of the island's aquifer.
    Matched MeSH terms: Environmental Monitoring/methods*
  15. Fulltext Green biosynthesis of silver nanoparticles using Curcuma longa tuber powder
    Shameli K, Ahmad MB, Zamanian A, Sangpour P, Shabanzadeh P, Abdollahi Y, et al.
    Int J Nanomedicine, 2012;7:5603-10.
    PMID: 23341739 DOI: 10.2147/IJN.S36786
    Green synthesis of noble metal nanoparticles is a vastly developing area of research. Metallic nanoparticles have received great attention from chemists, physicists, biologists, and engineers who wish to use them for the development of a new-generation of nanodevices. In this study, silver nanoparticles were biosynthesized from aqueous silver nitrate through a simple and eco-friendly route using Curcuma longa tuber-powder extracts, which acted as a reductant and stabilizer simultaneously. Characterizations of nanoparticles were done using different methods, which included ultraviolet-visible spectroscopy, powder X-ray diffraction, transmission electron microscopy, scanning electron microscopy, energy-dispersive X-ray fluorescence spectrometry, and Fourier-transform infrared spectroscopy. The ultraviolet-visible spectrum of the aqueous medium containing silver nanoparticles showed an absorption peak at around 415 nm. Transmission electron microscopy showed that mean diameter and standard deviation for the formation of silver nanoparticles was 6.30 ± 2.64 nm. Powder X-ray diffraction showed that the particles are crystalline in nature, with a face-centered cubic structure. The most needed outcome of this work will be the development of value-added products from C. longa for biomedical and nanotechnology-based industries.
    Matched MeSH terms: Green Chemistry Technology/methods*
  16. Flexibility and inflexibility in an Iranian sample: psychometric properties of MPFI based on the Hexaflex model
    Moosivand M, Kulemarzi MJB, Shirazi MS, Zaremohzzabieh Z
    BMC Psychol, 2024 Jan 18;12(1):34.
    PMID: 38238867 DOI: 10.1186/s40359-024-01531-0
    OBJECTIVES: Acceptance and Commitment Therapy (ACT) emphasizes the importance of psychological flexibility in promoting emotional, psychological, and social well-being, while also acknowledging rigidity as a precursor to psychological disorders. Analyzing the psychometric qualities based on the multidimensional Hexaflex model is critical for determining the efficiency of therapeutic interventions. Thus, the purpose of this study is to investigate the psychometric features of the Multidimensional Psychological Flexibility Inventory (MPFI) within the context of the Hexaflex model in a group of Iranian university students.

    METHODS: Exploratory and confirmatory factor analyses were used in this study to evaluate the psychometric features of the flexibility/inflexibility scale (MPFI) in a sample of Iranian university students.

    FINDINGS: In the exploratory factor analysis involving a sample of 300 students, six factors were identified for flexibility and six for inflexibility (56.3% males and 43.7% females). In the confirmatory factor analysis with a sample of 388 participants, the results validated 60 items across a total of six flexibility and inflexibility factors. This outcome can serve as a robust estimate for flexibility, inflexibility, the second-order model, and the final model. Cronbach's alpha values for various components, including acceptance, present-moment awareness (or contact with the present moment), self as context, cognitive defusing, values, committed action, total flexibility, experiential avoidance, lack of present-moment awareness, self as content, fusion, lack of contact with values, inaction, and total inflexibility, were reported as follows: 0.818, 0.869, 0.862, 0.904, 0.935, 0.935, 0.942, 0.895, 0.839, 0.883, 0.904, 0.912, 0.941, and 0.941, respectively.

    CONCLUSIONS: The Farsi version of the MPFI for university students has great psychometric qualities, making it a reliable assessment instrument for the ACT.

    Matched MeSH terms: Psychometrics/methods
  17. First report on the seroprevalence of the Crimean-Congo haemorrhagic fever virus, a tick-borne virus, in Malaysia's Orang Asli population
    Lani R, Mohd Rahim NF, Hassan H, Yaghoobi R, Chang LY, AbuBakar S, et al.
    Eur Rev Med Pharmacol Sci, 2015;19(3):461-6.
    PMID: 25720719
    The Crimean-Congo haemorrhagic fever virus (CCHFV), which is transmitted by the ticks of Hyalomma spp. in general and H. marginatumin particular, can cause severe disease in humans, with mortality rates of 3-30%. Other than from the bites of infected ticks, CCHFV can also be transmitted through contact with patients with the acute phase of infection or contact with blood or tissues from viraemic livestock.  Outbreaks of human cases of haemorrhagic manifestations have been documented since 1945 and described in parts of Africa, Asia, Eastern Europe and the Middle East and most recently India in 2011. In addition, serological evidence of the disease has been reported in some countries where no human cases were reported. As regional neighbours China and India have been affected by this virus, this study was conducted to determine the seroprevalence of CCHFV among Orang Asli population of Malaysia as the most at risk people who residing in the deep forests.
    Matched MeSH terms: Enzyme-Linked Immunosorbent Assay/methods
  18. Fulltext Seroprevalence report on tick-borne encephalitis virus and Crimean-Congo hemorrhagic fever virus among Malaysian's farm workers
    Mohd Shukri M, Ling Kho K, Ghane Kisomi M, Lani R, Marlina S, Muhd Radzi SF, et al.
    BMC Public Health, 2015;15:704.
    PMID: 26205588 DOI: 10.1186/s12889-015-1901-4
    Tick-borne encephalitis virus (TBEV) and Crimean-Congo haemorrhagic fever virus (CCHFV) are important tick-borne viruses. Despite their wide geographical distribution and ease of acquisition, the prevalence of both viruses in Malaysia is still unknown. This study was conducted to determine the seroprevalence for TBEV and CCHFV among Malaysian farm workers as a high-risk group within the population.
    Matched MeSH terms: Enzyme-Linked Immunosorbent Assay/methods
  19. Preparedness of recent dental graduates and final-year undergraduate dental students for practice amidst the COVID-19 pandemic
    Pandarathodiyil AK, Mani SA, Ghani WMN, Ramanathan A, Talib R, Zamzuri AT
    Eur J Dent Educ, 2023 Feb;27(1):78-86.
    PMID: 35100466 DOI: 10.1111/eje.12779
    INTRODUCTION: Dental education involves performing clinical procedures on patients under expert supervision. The COVID-19 pandemic has disrupted routine face-to-face teaching-learning-assessment dynamics world over. This study assessed the self-perceived preparedness of dental undergraduate students for practice, whose clinical training was interrupted by the COVID-19 pandemic from dental schools across Malaysia.

    MATERIALS AND METHODS: This cross-sectional web-based questionnaire survey was done among new dental graduates of the academic year 2019-2020 and the final year undergraduate students (academic year 2020-2021) from dental schools in Malaysia, using the Dental Undergraduates Preparedness Assessment Scale (DU-PAS), from 6th to 26th April 2021. The questionnaire addressed clinical skill competence, and cognitive and behavioral attributes. The number of respondents needed to achieve a confidence level of 95% with margin of error of 5% was 306.

    RESULTS: A total of 453 (243 final year students and 210 new graduates) responded from dental schools nationwide, with a response rate of 30.6%. The overall mean score for preparedness for dental practice was 76.3±14.7, for clinical skills 39.7±7.3, and behavioral and cognitive attributes 36.5±9.1. New graduates had significantly higher mean preparedness score (78.6±14.4) as compared to students in their final year (74.2±14.7). Performing endodontic treatment on multi-rooted teeth had the lowest perceived competency (29.8%), followed by assessing treatment needs of patients requiring orthodontics (37.1%), prescribing drugs (46.6%) and providing crowns using principles of tooth preservation (48.1%).

    CONCLUSIONS: Satisfactory scores were obtained for most attributes. The final-year cohort was significantly less prepared for dental practice compared to the newly graduated cohort.

    Matched MeSH terms: Education, Dental/methods
  20. Fulltext GnRH agonist and GnRH antagonist in intracytoplasmic injection cycles
    Rashid MR, Ong FB, Omar MH, Ng SP, Nurshaireen A, Sharifah-Teh NS, et al.
    Med J Malaysia, 2008 Jun;63(2):113-7.
    PMID: 18942295 MyJurnal
    The long agonistic protocol for controlled ovarian hyperstimulation (COH) is effective and used most often, thus is considered the gold standard. Therefore any new regimen has to be compared in its results with those obtained with the long protocol. This report compares the efficacy of GnRH agonist and antagonist in a retrospective study of IVF/ICSI carried out in a tertiary teaching hospital from 2003 to 2006. Only the first COH cycle followed by IVF-ICSI from 200 couples (agonist = 120 and antagonist = 80) were analysed. The end points studied included the number of oocytes recovered, number of mature (MII) oocytes, fertilization, cleavage, morphology based embryo quality, pregnancy rate, quantity and cost of gonadotrophin. The average age of female subjects was 35.1 +/- 4.7 years with 50% being 35 years and above. Major infertility factors were tubal blockage, male factor and endometriosis altogether comprising 68%. GnRH agonist and antagonist cycle parameters were comparable except lesser amount of gonadotrophin was used with lower resultant costs (both p < 0.0005) in antagonistic regime. Antagonist regime produce somewhat more good quality embryos (p = 0.065), an insignificant difference. A clinical pregnancy rate per embryo transfer of 16.3% in agonist and 20.6% in antagonist regime was achieved respectively. In conclusion, GnRH antagonist protocol produced a COH response, embryonic development and pregnancy rates on par to GnRH agonist regime. Moreover GnRH antagonist protocol required a shorter stimulation period plus fewer complications. Hence GnRH antagonist regime provided means for a friendlier, convenient and cost effective protocol for patients.
    Matched MeSH terms: Ovulation Induction/methods*
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