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Record W3021904732

Nanotechnology: an evidence-based analysis.

2006· article· en· W3021904732 on OpenAlexaboutno aff
Medical Advisory Secretariat

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
FieldEngineering
TopicNanotechnology research and applications
Canadian institutionsnot available
Fundersnot available
KeywordsNanotechnologyMaterials science
DOInot available

Abstract

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OBJECTIVE: Due to continuing advances in the development of structures, devices, and systems with a length of about 1 to 100 nanometres (nm) (1 nm is one billionth of a metre), the Medical Advisory Secretariat conducted a horizon scanning appraisal of nanotechnologies as new and emerging technologies, including an assessment of the possibly disruptive impact of future nanotechnologies. The National Cancer Institute (NCI) in the United States proclaimed a 2015 challenge goal of eliminating suffering and death from cancer. To help meet this goal, the NCI is engaged in a concerted effort to introduce nanotechnology "to radically change the way we diagnose, treat and prevent cancer." It is the NCI's position that "melding nanotechnology and cancer research and development efforts will have a profound, disruptive effect on how we diagnose, treat, and prevent cancer." Thus, this appraisal sought to determine the systemic effects of nanotechnologies that target, image and deliver drugs, for example, with respect to health human resources, training, and new specialties; and to assess the current status of these nanotechnologies and their projected timeline to clinical utilization. CLINICAL NEED: TARGET POPULATION AND CONDITION Cancer is a heterogeneous set of many malignant diseases. In each sex, 3 sites account for over one-half of all cancers. In women, these are the breast (28%), colorectum (13%) and lungs (12%). In men, these are the prostate (28%), lungs (15%), and the colorectum (13%). It is estimated that 246,000 people in Ontario (2% of the population) have been diagnosed with cancer within the past 10 years and are still alive. Most were diagnosed with cancer of the breast (21%), prostate (20%), or colon or rectum (13%). The number of new cancer cases diagnosed each year in Ontario is expected to increase from about 53,000 in 2001 to 80,000 in 2015. This represents more than a 50% increase in new cases over this period. An aging population, population growth, and rising cancer risk are thought to be the main factors that will contribute to the projected increase in the number of new cases. THE TECHNOLOGY BEING REVIEWED - MEDICAL ADVISORY SECRETARIAT DEFINITION OF NANOTECHNOLOGY: FIRST-GENERATION NANOTECHNOLOGIES: Early application of nanotechnology-enabled products involved drug reformulation to deliver some otherwise toxic drugs (e.g., antifungal and anticancer agents) in a safer and more effective manner. Examples of first-generation nanodevices include the following: liposomes;albumin bound nanoparticles;gadolinium chelate for magnetic resonance imaging (MRI);iron oxide particles for MRI;silver nanoparticles (antibacterial wound dressing); andnanoparticulate dental restoratives.First-generation nanodevices have been in use for several years; therefore, they are not the focus of this report. SECOND-GENERATION NANOTECHNOLOGIES: Second-generation nanotechnologies are more sophisticated than first- generation nanotechnologies, due to novel molecular engineering that enables the devices to target, image, deliver a therapeutic agent, and monitor therapeutic efficacy in real time. Details and examples of second-generation nanodevices are discussed in the following sections of this report. REVIEW STRATEGY: The questions asked were as follows: What is the status of these multifunctional nanotechnologies? That is, what is the projected timeline to clinical utilization?What are the systemic effects of multifunctional nanodevices with integrated applications that target, image, and deliver drugs? That is, what are the implications of the emergence of nanotechnology on health human resources training, new specialties, etc.?The Medical Advisory Secretariat used its usual search techniques to conduct the literature review by searching relevant databases. Outcomes of interest were improved imaging, improved sensitivity or specificity, improved response rates to therapeutic agents, and decreased toxicity. RESULTS: The search yielded 1 health technology assessment on nanotechnology by The Centre for Technology Assessment TA-Swiss and, in the grey literature, a technology review by RAND. These, in addition to data from the National Cancer Institute (United States) formed the basis for the conclusions of the review. With respect to the question as to how soon until nanotechnology is used in patient care, overall, the use of second-generation nanodevices, (e.g., quantum dots [QDs]), nanoshells, dendrimers) that can potentially target, image, and deliver drugs; and image cell response to therapy in real time are still in the preclinical benchwork stage. Table 1 summarizes the projected timelines to clinical utilization. Table 1:Summary of Timelines to Clinical Use*Organization/YearSecond-Generation NanodeviceEstimate of When Nanodevice Will be in Clinical UseNCI 2001Imaging/detection (e.g., QDs)Therapeutic (e.g., nanoshell)Combined (e.g., dendrimer)~2006-2016~2006-2016~2016-2020NCI 2004Imaging/detectionTherapeuticCombined~2009-2019~2009-2019~2019-2024RAND 2006Combinedunlikely before 2021Swiss 2003ImagingTherapeuticCombined~2005-2010~2008-2013~ 2010-2013*NCI refers to National Cancer Institute; QD, quantum dot.Medical Advisory Secretariat Estimated Timeline for Ontario Upon synthesizing the estimated timelines from the NCI, the Swiss technology assessment and the RAND reports (Figure 1), it appears that: the clinical use of separate imaging and therapeutic nanodevices is estimated to start occurring around 2010;the clinical use of combined imaging and therapeutic nanodevices is estimated to start occurring around 2020;changes in the way disease is diagnosed, treated and monitored are anticipated; andthe full (and realistic) extent of these changes within the next 10 to 20 years is uncertain.Figure 1:Medical Advisory Secretariat Estimated Timeline for the Clinical Use of Second-Generation Nanodevices in OntarioWith respect to the question on potential systemic effects of second-generation nanodevices (i.e., the implications of the emergence of these nanodevices on health human resources training, new specialties etc.), Table 2 summarizes the findings from the review. Table 2:Potential Systemic Effects Caused by Second Generation Nanodevices*ImagingTherapeuticCombined (Detect, Image, Treat, Monitor)Increased sensitivity and specificity of QDs or other nanodevices could lead to the replacement of existing technologies (e.g., PSA testing, mammogram).Sudden demand in use of MRI due to use of nanodevices that are activated in the presence of a magnetic field.Universal demand to detect cancer- how will patients be prioritized for this?Sudden demand in use of MRI due to use of nanodevices that are activated in the presence of a magnetic field.Cost: possibly more expensive than current screening modalities.Possibly more expensive than existing therapies (gold nanoshells)Many functions can be performed on one device → possibly faster, more cost-effective than individual devices.Report of results: possibly faster than existing technologies.Possibly faster determination of therapeutic efficacy (vs. existing technologies)Increase in life expectancy of population? Free-up beds in hospitals?Nanodevices may be able to pinpoint with more accuracy when cancer starts.Ethical question: when does disease start?Increased demand for imaging by people who are asymptomatic and concerned they may get cancer.Nano-radiologist or medical nano-oncologist provides treatment rather than conventional radiologists or medical oncologists.Creation of nano-nursing compared to conventional nursing.Nano-radiologist or medical nano-oncologist provides treatment, rather than conventional radiologists or medical oncologists.Creation of nano-nursing compared to conventional nursing.Uncertainty regarding how many "traditional" cancer radiologists/oncologists should be retained and trained.New branch of (nano) radiology compared to conventional radiology New/longer training in biochemistry and targeting ligands will be required by nanoradiologists.More training required for new nano-treatments Patient education - people may be concerned regarding the use of nanodevices inside their bodies.Longer time to specialize in medicine in order to use nanotechnology clinically?Insufficient number of dendrimer specialists to treat everyone with personalized dendrimersRestricted to specialized centres Possible in-house nanodevice production required to keep up with the demand for use.Will the same specialized centres that offer imaging also offer treatment?How many specialized centres will be required?Only specialized centres can perform this combined imaging/treatmentPossible nano-monitoring from patient home via wireless technology. This may free hospital beds for other patients.After imaging with nanodevices, specifically targeted therapeutic nanodevices may also be required for immediate treatment of the patient. Will both of these nanodevices be commercially available in sufficient quantities?Possible waiting time for preparation of appropriately targeted nanodevice after imaging (will a therapeutic nanodevice be immediately available?)Will a patient receive conventional treatment if there is a waiting period required to prepare the therapeutic nanodevice?Will there be a patient waiting time required for preparation of personalized dendrimers (hours, days, weeks after a patient sees a physician)?*MRI indicates magnetic resonance imaging; PSA, prostate-specific antigen; QD, quantum dot. UNCERTAINTIES NOT ADDRESSED IN THE LITERATURE: The United States National Nanotechnology Initiative (NNI) funds a variety of research in the economic, ethical, legal, and cultural implications of the use of nanotechnology, as well as the implications for science, education and quality of life. There are many uncertainties that are sparsely or not addressed at all in the literature regarding second generation nanodevices. (ABSTRACT TRUNCATED)

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.088
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.025
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.088
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.008
Bibliometrics0.0160.015
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0020.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0250.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.233
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations8
Published2006
Admission routes1
Has abstractyes

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