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DNA sequencing and comparative sequence analysis reveal that the Escherichia coli genomic DNA may replace the target DNA during molecular cloning: evidence for the erroneous assembly of E. coli DNA into database sequences.

DNA sequencing and similarity search of databases provide experimental evidence that portions of the host Escherichia coli genome may get ligated into the cloning vector, resulting in clones containing nontargeted inserts. Several lines of evidence suggest that this non-targeted ligation, as observed by us while subcloning troponin I cDNA, is presumably due to a recombination-mediated mechanism by which host DNA replaces the target DNA in the cloning vector. The E. coli genome mapping to 64-65 min and 92.8-00.1 min, the latter containing insertion sequences, appears to be the hotspot regions involved in this process. We examined the possibility that some sequences reported in the databases may also contain genomic sequences of E. coli. A search of current databases revealed that a rat hepatic glutathione transporter cDNA contains a 2.2-kb-long portion of the E. coli genome that has been wrongly assembled into its 5' untranslated and coding regions. In addition, about 30 sequences in databases, including a Yersinia pestis toxin gene, showed relatively high sequence identity with those portions of the E. coli genome that were present in the nonauthentic clones.

Animals↗

An Internet-ready database for prospective randomized clinical trials of high-dose-rate brachytherapy for adenocarcinoma of the prostate.

PURPOSE: To demonstrate a new interactive Internet-ready database for prospective clinical trials in high-dose-rate (HDR) brachytherapy for prostate cancer. METHODS AND MATERIALS: An Internet-ready database was created that allows common data acquisition and statistical analysis. Patient anonymity and confidentiality are preserved. These data forms include all common elements found from a survey of the databases. The forms allow the user to view patient data in a view-only or edit mode. Eight linked forms document patient data before and after receiving HDR therapy. The pretreatment forms are divided into four categories: staging, comorbid diseases, external beam radiotherapy data, and signs and symptoms. The posttreatment forms separate data by HDR implant information, HDR medications, posttreatment signs and symptoms, and follow-up data. The forms were tested for clinical usefulness. CONCLUSION: This Internet-based database enables the user to record and later analyze all relevant medical data and may become a reliable instrument for the follow-up of patients and evaluation of treatment results.

Adenocarcinoma↗

A chronological database to support outcomes research in prostate cancer.

PURPOSE: To outline the process for developing a data management system for patients with prostate cancer. METHODS AND MATERIALS: Between 1997 and 2002, several generations of a working database using a Microsoft Access platform were developed for the tracking of patients with prostate cancer. The database evolved to include both the management of clinical practice and outcomes research. A chronological data system lists events by their date and value. Algorithms for data exporting can access these lists in defined ways to mine for specific parameters. RESULTS: The most recent working model of our database was implemented with over 2000 patients entered and over 250,000 rows of data. It is utilized by the entire staff and is central for processing prostate cancer data within the department. Outcome studies have been performed using the system, and data export algorithm development remains ongoing. CONCLUSIONS: This work demonstrates that functional database systems are possible for large clinics treating patients with prostate cancer. The ability to maintain up-to-the-minute data variables is vital not only for unbiased outcomes analysis, but for patient flow and care. Future systems will migrate to web platforms.

Brachytherapy↗

Suggested specifications for a standardized Addiction Severity Index database.

The Addiction Severity Index (ASI) has become one of the most widely used instruments in the addictions field. As a result of its wide popularity, there are multiple versions of the instrument in use, and a wide range of computer systems used to collect and/or store ASI data. Thus, it has been difficult for different users and systems to share ASI data. This difficulty significantly reduces the value of the information for treatment providers, policy makers, and researchers. This article provides operational definitions and specifications for a "Standard ASI Database." Descriptions for standard variable names, data types, field lengths, value labels, range checks, and programming notes for all items in the fifth edition of the ASI are available electronically from the senior. Examples from the full protocol and the rationale for producing the Standard ASI Database elements are illustrated here. It is hoped that the format suggested will become the "industry standard" for ASI data storage among all users of the ASI and that, regardless of the software used or the method of data collection, there will be a single, standard format for all ASI databases. The potential applications from such a database would benefit treatment providers/clinicians and researchers as well as payers and policy makers.

Databases as Topic↗

Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review?

Evaluation of co-morbidity data is essential in health outcomes research. Co-morbidity data derived from administrative databases has been criticized for lacking the accuracy required for clinical research. We compared co-morbidity data derived from a Canadian provincial hospitalization database with chart review in 817 adults treated with a percutaneous coronary intervention at a single tertiary care hospital between 1994 and 1995. While the administrative database tended to under-estimate the prevalence of some co-morbid conditions, the agreement between chart review and administrative data was good to very good for most conditions. Asymptomatic conditions were noted to have lower levels of agreement. Multivariate risk models for all-cause mortality constructed from both data sources were almost identical, suggesting minimal misclassification. The results indicate that clinical data abstracted from most Canadian hospitalization databases can provide reliable information regarding baseline co-morbid conditions believed to influence survival in a population undergoing percutaneous coronary interventions.

Adult↗

Assessing the Saskatchewan database for outcomes research studies of depression and its treatment.

This study was conducted to evaluate the validity of using the Saskatchewan Health administrative claims databases for conducting depression research. To develop a claims-based definition of depression, we identified a cohort of individuals who began a "new" period of antidepressant use (no use 180 days prior) from which we selected a stratified random sample (n = 600) for medical record abstraction. The medical record diagnosis was used as the gold standard for judging our database definitions of depression. After defining a primary database definition of depression, we tried to refine it using medically probable scenarios and assessed refinement by agreement statistics. Defining depression with ICD9 codes 296 (affective disorders), 309 (adjustment reaction), and 311 (depressive disorders), the sensitivity (Se), specificity (Sp), positive (PV+) and negative predictive (PV-) values were: 71%, 85%, 86%, and 70%, respectively. Algorithms that limited the number of false-negatives resulted in: Se = 84% and PV- = 77% whereas those that limited false-positives resulted in: Sp = 90% and PV+ = 86%. Although our depression definition requires treatment with antidepressants, this definition will allow us to conduct future studies of depression and its treatment using the Saskatchewan Health databases.

Adult↗

Using Boolean reasoning to anonymize databases.

This paper investigates how Boolean reasoning can be used to make the records in a database anonymous. In a medical setting, this is of particular interest due to privacy issues and to prevent the possible misuse of confidential information. As electronic medical records and medical data repositories get more common and widespread, the issue of making sensitive data anonymous becomes increasingly important. A theoretically well-founded algorithm is proposed that via cell suppression can be used to make a database anonymous before releasing or sharing it to the outside world. The degree of anonymity can be tailored according to the specific needs of the recipient, and according to the amount of trust we place in the recipient. Furthermore, the required measure of anonymity can be specified as far down as to the individual objects in the database. The algorithm can also be used for anonymization relative to a particular piece of information, effectively blocking deterministic inferences about sensitive database fields.

Adult↗

A database of 660 peptide ion cross sections: use of intrinsic size parameters for bona fide predictions of cross sections.

An ion trap/ion mobility/time-of-flight mass spectrometry technique has been used to measure collision cross sections for 660 peptide ions generated by tryptic digestion of 34 common proteins. Measured cross sections have been compiled into a database that contains peptide molecular weight and sequence information. The database is used to generate average intrinsic contributions to cross section (size parameters) for different amino acid residues by solving systems of equations that relate the unknown contributions of individual residues to the sequences and cross sections of database peptides. Size parameters are combined with information about amino acid composition to calculate cross sections for database peptides. Bona fide cross section predictions (made prior to measurement) for peptides observed in tryptic digests of sperm whale myoglobin and yeast enolase are made. Eight of 10 predicted cross sections are within 2% of the experimental values and all 10 are within 3.2%. The utility of size parameters for cross section prediction is explored and discussed.

Algorithms↗

Unknown identification using reference mass spectra. Quality evaluation of databases.

The high success of the "uncertified" mass spectrometry spectral collection started in 1956 demonstrated qualitatively that a partial reference mass spectrum, even one measured routinely, can be of real value. Correct matchings were still possible despite reference errors, which almost never led to close matches that were incorrect. This study shows quantitatively that the number of different compounds, not the number of peaks in a spectrum, is by far the most important determinant of database efficiency for identifying a "global" unknown. A statistical evaluation of matching performance shows that only 6, 12, and 18 peaks in a reference spectrum are 13%, 67%, and 96%, respectively, as valuable as hundreds of peaks. Also, a separately measured second spectrum of the same compound is 50% as valuable as the first. Database expansion that tripled the number of possible wrong answers only reduced the proportion of correct identifications by 5%. Corrections of a mass or abundance error in each of six reference spectra increase the database matching performance by as much as the addition of one spectrum of a new compound. A new "matching quality index" based statistically on these values indicates that the largest database is also by far the most effective for matching unknowns.

Animals↗

National Cancer Institute initiative: Lung image database resource for imaging research.

Preliminary clinical studies suggest that spiral computed tomography (CT) of the lungs can improve early detection of lung cancer in high-risk individuals. More clinical studies are needed, however, before public health recommendations can be proposed for population-based screening. Spiral CT generates large-volume data sets and thus poses problems in terms of implementation of efficient and cost-effective screening methods. Image processing algorithms such as computer assisted diagnostic (CAD) methods have the potential to assist in lesion (eg, nodule) detection on spiral CT studies. CAD methods may also be used to characterize nodules by either assessing the stability or change in size of lesions based on evaluation of serial CT studies, or quantitatively measuring the temporal parameters related to contrast dynamics when using contrast material-enhanced CT studies. CAD methods therefore have the potential to enhance the sensitivity and specificity of spiral CT lung screening studies. Lung cancer screening studies now under investigation create an opportunity to develop an image database that will allow comparison and optimization of CAD algorithms. This database could serve as an important national resource for the academic and industrial research community that is currently involved in the development of CAD methods. The National Cancer Institute request for applications (RFA) (CA-01-001) has already been announced (April 2000) to establish and support a consortium of academic centers to develop this database, the consortium to be referred to as the Lung Image Database Consortium (LIDC). This RFA is now closed. Five academic sites have been selected to be members of the LIDC, the first meeting of this consortium is planned for spring of 2001, and a public meeting is to be held in 2002. This report is abstracted from the previously published RFA to serve as an example of how an initiative is developed by the National Cancer Institute to support a research resource. For specific details of the RFA, please access the following Internet site: http://www. nci.nih.gov/bip/NCI-DIPinisumm.htm#a11.

Algorithms↗

Computer-aided design of chiral ligands. Part I. Database search methods to identify chiral ligand types for asymmetric reactions.

The utility of database searching to identify chiral ligand motifs is outlined. The key elements of three known chiral ligands have been described as bond vectors. The CAVEAT program was then used to screen the Cambridge Structural Database (CSD), portions of the Chemical Abstracts Services three-dimensional database (CAS-3D), and the TRIAD tricyclic structure database for scaffolds containing these elements. Scaffolds corresponding to the known starting points were identified indicating that this method can be used to identify chiral ligand structural motifs. In addition, alternate structural motifs were found that suggested alternative possible ligands.

Boranes↗

Ballistic fingerprinting databases.

This article discusses a number of questions regarding the setting up of ballistic fingerprinting databases, consisting of ammunition components fired by all the firearms held in legal possession. These questions can be classified into three categories--the efficiency of the database, forensic issues, and practical issues to be dealt with. The current New York State legislation is used as an illustration of the choices to be made when setting up a ballistic fingerprinting database. Three important arguments are formulated against the installation of a ballistic fingerprinting database.

Databases, Factual↗

Providing dermatological photographs using the multimedia extension of the international computer database for radiation accident case histories.

The World Health Organisation (WHO) Radiation Emergency Medical Preparedness (REMPAN) centres have built up the International Computer Database for Radiation Accident Case Histories (ICDREC) to document the medical treatment of acute radiation syndrome (ARS) patients. Images play an increasing role as complementary information beside text and numerical data in medicine. In particular, retrieval and display of digitised skin photographs serve to improve patient care, medical education and scientific analysis concerning the cutaneous radiation syndrome (CRS). The ICDREC has been built up as a client/server system. Particular focus has been set on using commercial off-the-shelf software components. All the medical data including the multimedia data are stored in a relational database system. The database can be accessed by inexpensive personal computers in the physician's workplace. Retrieval of one photograph via local area network (LAN) requires approximately 3 s. Authorised institutions can access the database via the Internet. The current state of the ICDREC multimedia component is illustrated with the skin lesion treatment of a Chernobyl patient. An example is given on how the workflow in a dermatology department is supported by the ICDREC.

Databases, Factual↗

Construction of a non-redundant human SH2 domain database.

Domain database is essential for domain property research. Eliminating redundant information in database query is very important for database quality. Here we report the manual construction of a non-redundant human SH2 domain database. There are 119 human SH2 domains in 110 SH2-containing proteins. Human SH2s were aligned with ClustalX, and a homologous tree was generated. In this tree, proteins with similar known function were classified into the same group. Some proteins in the same group have been reported to have similar binding motifs experimentally. The tree might provide clues about possible functions of hypothetical proteins for further experimental verification.

Amino Acid Sequence↗

Populating decision-analytic models: the feasibility and efficiency of database searching for individual parameters.

OBJECTIVES: The aim of the study was to investigate the feasibility and effectiveness of searching selected databases to identify information required to populate a decision-analytic model. METHODS: Methods of searching for information to populate a decision-analytic model were piloted using a case study of prophylactic antibiotics to prevent recurrent urinary tract infections in children. This study explored how the information requirements for a decision-analytic model could be developed into searchable questions and how search strategies could be derived to answer these questions. The study also assessed the usefulness of three published search filters and explored which resources might produce relevant information for the various model parameters. RESULTS: Based on the data requirements for this case study, 42 questions were developed for searching. These questions related to baseline event rates, health-related quality of life and outcomes, relative treatment effects, resource use and unit costs, and antibiotic resistance. A total of 1,237 records were assessed by the modeler, and of these, 48 were found to be relevant to the model. Search precision ranged from 0 percent to 38 percent, and no single database proved the most useful for all the questions. CONCLUSIONS: The process of conducting specific searches to address each of the model questions provided information that was useful in populating the case study model. The most appropriate resources to search were dependent on the question, and multiple database searching using focused search strategies may prove more effective in finding relevant data than thorough searches of a single database.

Anti-Bacterial Agents↗

The Human Communication Research Centre dialogue database.

The HCRC dialogue database consists of over 700 transcribed and coded dialogues from pairs of speakers aged from seven to fourteen. The speakers are recorded while tackling co-operative problem-solving tasks and the same pairs of speakers are recorded over two years tackling 10 different versions of our two tasks. In addition there are over 200 dialogues recorded between pairs of undergraduate speakers engaged on versions of the same tasks. Access to the database, and to its accompanying custom-built search software, is available electronically over the JANET system by contacting liz@psy.glasgow.ac.uk, from whom further information about the database and a user's guide to the database can be obtained.

Adolescent↗

Adaptation and evaluation of the National Cancer Institute's Diet History Questionnaire and nutrient database for Canadian populations.

BACKGROUND AND OBJECTIVE: Despite assumed similarities in Canadian and US dietary habits, some differences in food availability and nutrient fortification exist. Food-frequency questionnaires designed for the USA may therefore not provide the most accurate estimates of dietary intake in Canadian populations. Hence, we undertook to evaluate and modify the National Cancer Institute's Diet History Questionnaire (DHQ) and nutrient database. METHODS: Of the foods queried on the DHQ, those most likely to differ in nutrient composition were identified. Where possible these foods were matched to comparable foods in the Canadian Nutrient File. Nutrient values were examined and modified to reflect the Canadian content of minerals (calcium, iron, zinc) and vitamins (A, C, D, thiamin, riboflavin, niacin, B6, folate and B12). DHQs completed by 13 181 Alberta Cohort Study participants aged 35-69 years were analysed to estimate nutrient intakes using the original US and modified versions of the DHQ databases. Misclassification of intake for meeting the Dietary Reference Intake (DRI) was determined following analysis with the US nutrient database. RESULTS: Twenty-five per cent of 2411 foods deemed most likely to differ in nutrient profile were subsequently modified for folate, 11% for vitamin D, 10% for calcium and riboflavin, and between 7 and 10% for the remaining nutrients of interest. Misclassification with respect to meeting the DRI varied but was highest for folate (7%) and vitamin A (7%) among men, and for vitamin D (7%) among women over 50 years of age. CONCLUSION: Errors in nutrient intake estimates owing to differences in food fortification between the USA and Canada can be reduced in Canadian populations by using nutrient databases that reflect Canadian fortification practices.

Adult↗

Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

We present a statistical model to estimate the accuracy of peptide assignments to tandem mass (MS/MS) spectra made by database search applications such as SEQUEST. Employing the expectation maximization algorithm, the analysis learns to distinguish correct from incorrect database search results, computing probabilities that peptide assignments to spectra are correct based upon database search scores and the number of tryptic termini of peptides. Using SEQUEST search results for spectra generated from a sample of known protein components, we demonstrate that the computed probabilities are accurate and have high power to discriminate between correctly and incorrectly assigned peptides. This analysis makes it possible to filter large volumes of MS/MS database search results with predictable false identification error rates and can serve as a common standard by which the results of different research groups are compared.

Algorithms↗