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[Radiological information searching on the Internet: data banks, search machines and intelligent agents].

UNLABELLED: The Internet plays an important role in a growing number of medical applications. Finding relevant information is not always easy as the amount of available information on the Web is rising quickly. Even the best search engines can only collect links to a fraction of all existing Web pages. In addition, many of these indexed documents have been changed or deleted. The vast majority of information on the Web is not searchable with conventional methods. New search strategies, technologies and standards are combined in intelligent search agents (ISA) and robots, which can retrieve desired information in a specific approach. CONCLUSION: The article describes differences between ISAs and conventional search engines and how communication between agents improves their ability to find information. Examples of existing ISAs are given and the possible influences on the current and future work in radiology is discussed.

Databases, Factual↗

Health information on the internet: patient empowerment or patient deceit?

Internet is the biggest medical library in the world. It has transformed the way many health seekers find health information. Seekers on net have exponentially increased from 54 million in 1998 to 110 million in 2002 (U.S. figures) and are ever increasing. Act of looking for health or medical information is the third most popular activities online. Search engines are used by almost 81% of the e-patients to look for the information they want. Internet is fast becoming an influential force as more than 70% consumers say that the information on the net has influenced their treatment decisions. However, the reliability of all the health information available on the Internet is questionable. Numerous studies have indicated deficiencies in the quality of information on the Internet. Due to technical and commercial reasons, the results provided by various search engines can be potentially biased. Only about a quarter of health seekers thoroughly check the source, timeliness of information every time they search for health information. In fact, most adults from USA, Japan, France and Germany who participated in a recent survey thought online health care information to be trustworthy, of good quality, easy to understand and easy to find. Efforts are now being taken to ensure the quality of health information on the Internet. Patients need to be educated about the worthiness of a site and also be prescribed the right sites to be consulted for information.

Health Education↗

The low availability of metadata elements for evaluating the quality of medical information on the World Wide Web.

A great barrier to the use of Internet resources for patient education is the concern over the quality of information available. We conducted a study to determine what information was available in Web pages, both within text and metadata source code, that could be used in the assessment of information quality. Analysis of pages retrieved from 97 unique sites using a simple keyword search for "breast cancer treatment" on a generic and a health-specific search engine revealed that basic publishing elements were present in low frequency: authorship (20%), attribution/references (32%), disclosure (41%), and currency (35%). Only one page retrieved contained all four elements. Automated extraction of metadata elements from the source code of 822 pages retrieved from five popular generic search engines revealed even less information. We discuss the design of a metadata-based system for the evaluation of quality of medical content on the World Wide Web that addresses current limitations in ensuring quality.

Breast Neoplasms↗

Unraveling the web: an evaluation of the content quality, usability, and readability of nutrition web sites.

OBJECTIVE: To determine the content quality, general readability, and usability characteristics of consumer nutrition information on the World Wide Web. DESIGN: Almost 500 Web sites were identified for evaluation through 2 different approaches. Of these, 150 were included for further evaluation. Each site was rated on a 27-item tool covering content quality, readability, and usability. ANALYSIS: Summary statistics, means, ranges, and standard deviation were calculated for each study variable. The statistical significance of differences between item means by search strategy was determined using Student's t tests. RESULTS: Web sites identified using popular search engines scored significantly lower for content quality (P < .0001), were easier to navigate (P < .001), had better overall adherence to usability standards (P < .0001), and had lower reading levels compared with those sites identified using a government Web portal. CONCLUSIONS AND IMPLICATIONS: Nutrition Web sites obtained using popular search engines may be aesthetically appealing and easy to use, but they often provide inaccurate nutrition information. As consumers increasingly turn to the World Wide Web for nutrition advice and education, it is imperative that the needs of diverse user populations be identified and addressed. Future nutrition education research should build on these findings by creating strategies that help users find reliable user-friendly gateways to accurate nutrition information on the Internet.

Evaluation Studies as Topic↗

Comprehensive analysis of a multidimensional liquid chromatography mass spectrometry dataset acquired on a quadrupole selecting, quadrupole collision cell, time-of-flight mass spectrometer: II. New developments in Protein Prospector allow for reliable and comprehensive automatic analysis of large datasets.

A thorough analysis of the protein interaction partners of the yeast GTPase Gsp1p was carried out by a multidimensional chromatography strategy of strong cation exchange fractionation of peptides followed by reverse phase LC-ESI-MSMS using a QSTAR instrument. This dataset was then analyzed using the latest developmental version of Protein Prospector. The Prospector search results were also compared with results from the search engine "Mascot" using a new results comparison program within Prospector named "SearchCompare." The results from this study demonstrate that the high quality data produced on a quadrupole selecting, quadrupole collision cell, time-of-flight (QqTOF) geometry instrument allows for confident assignment of the vast majority of interpretable spectra by current search engines.

Autoanalysis↗

Interpretation of mass spectrometry data for high-throughput proteomics.

Recent developments in proteomics have revealed a bottleneck in bioinformatics: high-quality interpretation of acquired MS data. The ability to generate thousands of MS spectra per day, and the demand for this, makes manual methods inadequate for analysis and underlines the need to transfer the advanced capabilities of an expert human user into sophisticated MS interpretation algorithms. The identification rate in current high-throughput proteomics studies is not only a matter of instrumentation. We present software for high-throughput PMF identification, which enables robust and confident protein identification at higher rates. This has been achieved by automated calibration, peak rejection, and use of a meta search approach which employs various PMF search engines. The automatic calibration consists of a dynamic, spectral information-dependent algorithm, which combines various known calibration methods and iteratively establishes an optimised calibration. The peak rejection algorithm filters signals that are unrelated to the analysed protein by use of automatically generated and dataset-dependent exclusion lists. In the "meta search" several known PMF search engines are triggered and their results are merged by use of a meta score. The significance of the meta score was assessed by simulation of PMF identification with 10,000 artificial spectra resembling a data situation close to the measured dataset. By means of this simulation the meta score is linked to expectation values as a statistical measure. The presented software is part of the proteome database ProteinScape which links the information derived from MS data to other relevant proteomics data. We demonstrate the performance of the presented system with MS data from 1891 PMF spectra. As a result of automatic calibration and peak rejection the identification rate increased from 6% to 44%.

Algorithms↗

Lumbar disc herniation: evaluation of information on the internet.

STUDY DESIGN: An original study was performed evaluating the information presented on existing web sites for the topic of lumbar disc herniation. OBJECTIVES: The purpose of this study was to evaluate the type and quality of internet information available to patients on the topic of lumbar disc herniation. Our secondary objectives were to rank the identified World Wide Web sites with respect to the caliber of relevant information and to determine the propensity for secondary commercial gain by the web site sponsors. SUMMARY OF BACKGROUND DATA: Two-thirds of the United States population "surfs" the internet. A substantial percentage of internet users search for medical information on the World Wide Web. Because no standards exist regarding the publication of medical literature on the internet, the relevant web sites vary dramatically in terms of content and quality. Misleading or inaccurate information poses a theoretical risk to patients seeking treatment for medical conditions. METHODS.: Five search terms (lumbar disc herniation, herniated nucleus pulposus, herniated disc, slipped disc, and sciatica) were entered into 5 commonly used search engines. The first 25 links displayed by each engine were evaluated for a theoretical total of 625 web sites. Each site was evaluated in terms of content, authorship, and secondary commercial gain. An information quality score of 0 to 25 points was generated for each site; a score of 20 or greater was indicative of "high-quality" content. RESULTS: Our search identified 169 unique web sites of which only 16 (9.5%) scored >or=20 on the information quality score; 103 (60.9%) scored <or=10. The overall mean information quality score was 9. Highest mean scores were noted for commercial corporate (13.1) and hospital-based sites (11.2). Overall, 34.3% of sites sought secondary commercial gain. Higher scoring sites were more likely to appear within the first 10 links identified by each search engine. CONCLUSIONS: The quality of internet information on lumbar disc herniation is variable. Less than 10% of relevant web sites were determined to be of high-quality. The vast majority of sites were of poor informational value and more than one-third sought secondary commercialgain. The rank list of high quality sites generated from ourinformational quality score should prove useful to patients seeking information on the internet pertaining to lumbar disc herniation.

Humans↗

Learning Boolean queries for article quality filtering.

Prior research has shown that Support Vector Machine models have the ability to identify high quality content-specific articles in the domain of internal medicine. These models, though powerful, cannot be used in Boolean search engines nor can the content of the models be verified via human inspection. In this paper, we use decision trees combined with several feature selection methods to generate Boolean query filters for the same domain and task. The resulting trees are generated automatically and exhibit high performance. The trees are understandable, manageable, and able to be validated by humans. The subsequent Boolean queries are sensible and can be readily used as filters by Boolean search engines.

Algorithms↗

A day in the life of PubMed: analysis of a typical day's query log.

OBJECTIVE: To characterize PubMed usage over a typical day and compare it to previous studies of user behavior on Web search engines. DESIGN: We performed a lexical and semantic analysis of 2,689,166 queries issued on PubMed over 24 consecutive hours on a typical day. MEASUREMENTS: We measured the number of queries, number of distinct users, queries per user, terms per query, common terms, Boolean operator use, common phrases, result set size, MeSH categories, used semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. RESULTS: The size of the result sets from a sample of queries showed a bimodal distribution, with peaks at approximately 3 and 100 results, suggesting that a large group of queries was tightly focused and another was broad. Like Web search engine sessions, most PubMed sessions consisted of a single query. However, PubMed queries contained more terms. CONCLUSION: PubMed's usage profile should be considered when educating users, building user interfaces, and developing future biomedical information retrieval systems.

Algorithms↗

A critical review of internet information about depression.

OBJECTIVE: The source and quality of information about depression available on the Internet were examined. METHODS: Online searches using the phrase "depression and treatment" were conducted on ten major Internet search engines. The first 20 sites generated by each engine were examined. The Web sites and the individual Web pages they contained were categorized by source, target audience, and affiliation with either a for-profit or a not-for-profit organization. Each site was rated by whether it mentioned the nine symptoms and five major criteria of a major depressive episode and whether it made any of three basic treatment recommendations. Ratings were compared to determine whether treatment differences between the sites could be attributed to the site's source. RESULTS: The search generated a total of 178 active sites. Overall, the quality of information was poor. Only half of the sites mentioned any DSM-IV diagnostic symptom or criteria in their descriptions of depression, and only a quarter listed 11 to 14 symptoms or criteria. Almost half of the sites made no mention of medications, psychotherapy, or professional consultation as suggested treatments for depression. Almost two-thirds of the pages were found on for-profit sites. Documents from these sites scored lower on diagnostic accuracy and treatment recommendations than those from not-for-profit sites. CONCLUSIONS: The quality of information on the Internet produced by the search was quite low. For-profit Web sites appeared much more frequently than not-for-profit sites among the first 20 sites generated by each search engine, and they contained poorer information.

Depressive Disorder↗

Added value for tandem mass spectrometry shotgun proteomics data validation through isoelectric focusing of peptides.

A very popular approach in proteomics is the so-called "shotgun LC-MS/MS" strategy. In its mostly used form, a total protein digest is separated by ion exchange fractionation in the first dimension followed by off- or on-line RP LC-MS/MS. We replaced the first dimension by isoelectric focusing in the liquid phase using the Off-Gel device producing 15 fractions. As peptides are separated by their isoelectric point in the first dimension and hydrophobicity in the second, those experimentally derived parameters (pI and R(T)) can be used for the validation of potentially identified peptides. We applied this strategy to a cellular extract of Drosophila Kc167 cells and identified peptides with two different database search engines, namely PHENYX and SEQUEST, with PeptideProphet validation of the SEQUEST results. PHENYX returned 7582 potential peptide identifications and SEQUEST 7629. The SEQUEST results were reduced to 2006 identifications by validation with PeptideProphet. Validation of the PeptideProphet, SEQUEST and PHENYX results by pI and R(T) parameters confirmed 1837 PeptideProphet identifications while in the remainder of the SEQUEST results another 1130 peptides were found to be likely hits. The validation on PHENYX resulted in the fixation of a solid p-value threshold of <1 x 10(-04) that sets by itself the correct identification confidence to >95%, and a final count of 2034 highly confident peptide identifications was achieved after pI and R(T) validation. Although the PeptideProphet and PHENYX datasets have a very high confidence the overlap of common identifications was only at 79.4%, to be explained by the fact that data interpretation was done searching different protein databases with two search engines of different algorithms. The approach used in this study allowed for an automated and improved data validation process for shotgun proteomics projects producing MS/MS peptide identification results of very high confidence.

Algorithms↗

Health websites in Italy: use, classification and international policy.

In this paper, we discuss international policy in relation to the use of health websites and we describe the results obtained from application of a search engine to the recognition and classification of health websites in Italy. We then compare the results with health websites in other countries. Effective use of technology has led to medical advances that have not only extended life expectancy, but also fuelled an increasingly well-informed public to expect more and more from today's healthcare providers. As a consequence of the Web's rapid, chaotic growth, the resulting network of information lacks organization and structure and the quest for a method of quickly finding relevant and reliable information is spawning the growth of Internet portal sites. The US and the European Union and now Italy, have established the importance of rules to check the quality of health sites both for the non-professional users (citizens), mainly for privacy and security (for example, of medical records); and for health operators (physicians and others), where the most important thing is to evaluate the quality of content. In June 2001, the search engine used here found 2627 Italian health sites, of which only 46 exhibited the HON Code, and they can be classified into: 1% personal medical sites, 17% health portals, 18%, metasites, 27% documental sites and 37% information sites for health operators and/or for citizens.

Community Participation↗

Functional mapping of cannabinoid receptor homologs in mammals, other vertebrates, and invertebrates.

Over the past decade, several putative homologs of cannabinoid receptors (CBRs) have been identified by homology screening. Homology screening utilizes sequence alignment search engines to recognize homologs. We investigated these putative CBR homologs further by 'functional mapping' of their deduced amino acid sequences. The entire pharmacophore of a CBR has not yet been elucidated, but point-mutation studies have identified over 20 amino acid residues that impart CBR specificity for ligand recognition and/or signal transduction. Twenty point-mutation studies were used to construct a CBR functionality matrix. Sixteen putative CBR homologs were then mapped over the matrix. Several putative homologs did not hold up to this analysis: human GPR3, GPR6, GPR12, and Caenorhabditis elegans C02H7.2 expressed a series of crippling substitutions in the matrix, strongly suggesting they do not encode functional CBRs. Mapping the contested leech (Hirudo medicinalis) CBR sequence suggests that it encodes a functional CB1; it expresses fewer substitutions than the sea squirt (Ciona intestinalis) CB1 sequence. Mapping a putative CB2 ortholog in the puffer fish (Fugu rubripes T012234) suggests it may encode a CBR other than CB2. These findings are consistent with the lack of experimental data proving these putative CBRs have affinity for cannabinoid ligands. Matrix analysis also reveals that SR144528, a 'CB2-specific' synthetic antagonist, has affinity for non-mammalian CB1 receptors, and that L3.45 appears to be CB2-specific, its cognate in CB1 receptors is F3.45. In conclusion, functional mapping, utilizing point-mutation studies, may improve the specificity of homology screening performed by sequence alignment search engines.

Amino Acid Sequence↗

Recent evolutionary origin within the primate lineage of two pseudogenes with similarity to members of the transforming growth factor-beta superfamily.

Using a search engine called Motifer, we searched the public database of the human genome for genes matching a consensus pattern of cysteine residues derived from members of the transforming growth factor-beta (TGF-beta) superfamily. We identified two genes (named MDF451 and MDF628) that display sequence similarity to members of the TGF-beta superfamily in the arrangement of six conserved cysteine residues. Phylogenetic analyses revealed that MDF451 and MDF628 constitute a distinct subgroup within the TGF-beta superfamily, distantly related to the GDNF subfamily of ligands. Both genes could be identified in several primate species in addition to human, including chimpanzee, gorilla, guereza, and green and gray monkey, but not in rodents or other non-primate mammals, and appear not to be present in the genomes of mouse, rat or zebrafish. RNAs for MDF451 and MDF628 were expressed at low levels within distinct regions of the human central nervous system, including adult cerebellum, adult spinal cord and fetal brain. Despite expression at the RNA level, both genes presented a transcribed upstream stop codon that would prevent translation of the TGF-beta-like reading frame. The coding potential of alternative reading frames was not immediately apparent. The two genes may represent TGF-beta-like pseudogenes that have recently appeared in evolution in a common ancestor of the primate lineage by duplication from a GDNF/TGF-beta-like ancestral gene.

Amino Acid Sequence↗

Quality of global e-pharmacies: can we safeguard consumers?

OBJECTIVE: E-pharmacies are web sites selling prescription-only medicines and other products including non-prescription and complementary medicines to consumers via the internet. This study aims to evaluate the quality of global e-pharmacies, discuss whether e-pharmacies support the safe and appropriate use of medicines, and consider how we can protect consumers in the future. METHODS: A survey of public information published on global e-pharmacy web sites was conducted between July and September 2001. We used a meta-search engine, Copernic, and the search terms of 'online' or 'internet', and 'pharmacy', 'pharmacies' and 'medicines' to identify a sampling frame of global e-pharmacies. We surveyed all web sites in the sampling frame except those under construction or only offering electronic refills, members-only and non-English web sites. Survey data included country of origin, range of medicines sold, prescription requirements, availability of online medical consultations and pharmacists' advice, quality accreditation seals, policies and advertisements. RESULTS: E-pharmacies operated in at least 13 countries; however, the country of origin could not be identified for 22 web sites. Twenty web sites (19%) appeared to supply prescription-only medicines with no prescription required. Only 12% of e-pharmacies displayed quality accreditation seals. We observed information published on e-pharmacy web sites that potentially undermines the safe and appropriate use of medicines. CONCLUSION: Safeguarding consumers and ensuring the quality of web sites that sell medicines across state and national boundaries is both complex and difficult. Strategies to improve the quality of e-pharmacies include independent third-party regulation of providers, evaluation and enforcement of sanctions in cases of dissemination of fraudulent or harmful information and practices, self-regulation and consumer education. The development of internet regulatory technologies themselves and the resolution of jurisdictional issues offer future solutions but international co-operation is vital.

Data Collection↗

ASDB: database of alternatively spliced genes.

Version 2.1 of ASDB (Alternative Splicing Data Base) contains 1922 protein and 2486 DNA sequences. The protein entries from SWISS-PROT are joined into clusters corresponding to alternatively spliced variants of one gene. The DNA division consists of complete genes with alternative splicing mentioned or annotated in GenBank. The search engine allows one to search over SWISS-PROT and GenBank fields and then follow the links to all variants. The database can be assessed at the URL http://cbcg.nersc.gov/asdb

Alternative Splicing↗

Searching the literature using medical subject headings versus text word with PubMed.

OBJECTIVE/HYPOTHESIS: This study was conducted to investigate the performance of two search strategies in the retrieval of information from the National Library of Medicine (NLM) on otolaryngology-head and neck surgery related conditions and diagnoses using PubMed. METHODS: Two search strategies-one based on the use of Medical Subject Headings (MeSH) and the second based on text word searching-were compared. RESULTS: The MeSH search provided a more efficient search than the text word search. CONCLUSIONS: Head and neck surgeons can most efficiently search the NLM using PubMed as a search engine by initiating the search with MeSH terms. Once a key article is identified, the searcher should use the "Related Articles" feature.

Humans↗

Declaration of patent applications as financial interests: a survey of practice among authors of papers on molecular biology in Nature.

OBJECTIVES: To determine whether authors of scientific publications in molecular biology declare patents and other potential financial interests. DESIGN: Survey of a 6-month sample of papers related to molecular biology in Nature. METHODS: The esp@cenet worldwide patent search engine was used to search for patents applied for by the authors of scientific papers in Nature that were related to molecular biology and genetics, between January and June 2005. RESULTS: Of the 79 papers considered, four had declared that certain authors had competing financial interests. Seven papers in which no financial interests were declared had authors with patent applications that were based on the research in the paper or were closely related to it. Another paper had two authors with connections to biotechnology companies that were not disclosed. CONCLUSION: Two thirds of the papers in which authors had patent applications or company affiliations that might be considered to be competing financial interests did not disclose them. Failure to disclose such information may have negative implications on the perception of science in society and on its quality if the possible bias is hidden. Journals should make greater efforts to ensure full disclosure, and scientific institutions should consider failure to disclose financial interests as an example of scientific malpractice. Establishing a register of interests for scientists is one way to increase transparency and openness.

Biotechnology↗