SynthesisNature nanotechnology2016
Meta-analysis of cellular toxicity for cadmium-containing quantum dots.
Synthesis in Nature nanotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
117 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Meta-Analysis of Cytotoxicity Studies Using Machine Learning Models on Physical Properties of Plant Extract-Derived Silver Nanoparticles.International journal of molecular sciences · 2023Pooled it
- Meta-Analysis of Nanoparticle Delivery to Tumors Using a Physiologically Based Pharmacokinetic Modeling and Simulation Approach.ACS nano · 2020Pooled it
- Bridging Nano-Interface Interactions and Organ-Specific Toxicity: A Review of Machine Learning for Nanomaterials Risk Assessment.Molecules (Basel, Switzerland) · 2026Review
- Bridging the Resolution Gap in Recurrent Prostate Cancer Imaging: Quantum Dots as PSMA-Targeted Optical Probes.ACS omega · 2026Review
- Advances in green-synthesized quantum dot-based nanoplatforms for cancer treatment, photodynamic therapy, photothermal therapy and cancer theranostics.RSC advances · 2026Review
- Evaluation of Self-Illuminating Nanoconjugates Against Pancreatic Ductal Adenocarcinoma.International journal of nanomedicine · 2026Article
- Article
- Preparation and Performance of Phthalocyanine @ Copper Iodide Cluster Nanoparticles for X-Ray-Induced Photodynamic Therapy.Molecules (Basel, Switzerland) · 2025Article
- NanoToxRadar: A Multitarget Nano-QSAR Model for Predicting the Cytotoxicity Values of Multicomponent Nanoparticles.ACS nanoscience Au · 2025Article
- Silane-Coupled Silica Nanoparticles Encapsulating Emitting Quantum Dots: Advancing Robust Phosphors for Displays and Beyond.Molecules (Basel, Switzerland) · 2025Review
- Genetic modulation of rare earth nanoparticle biotransformation shapes biological outcomes.Nature communications · 2025Article
- Multimodal feature fusion machine learning for predicting chronic injury induced by engineered nanomaterials.Nature communications · 2025Article
- Current views and trends of nanomaterials as vectors for gene delivery since the 21st century: a bibliometric analysis.Nanomedicine (London, England) · 2025Article
- Deciphering key nano-bio interface descriptors to predict nanoparticle-induced lung fibrosis.Particle and fibre toxicology · 2025Article
- Automated machine learning in nanotoxicity assessment: A comparative study of predictive model performance.Computational and structural biotechnology journal · 2024Article
- Protein Corona Formation on Cadmium-Bearing Nanoparticles: Important Role of Facet-Dependent Binding of Cysteine-Rich Proteins.Environment & health (Washington, D.C.) · 2024Article
- The utilization of quantum dot labeling as a burgeoning technique in the field of biological imaging.RSC advances · 2024Review
- Optimizing the conversion of phosphoenolpyruvate to lactate by enzymatic channeling with mixed nanoparticle display.Cell reports methods · 2024Article
- Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures.Advanced materials (Deerfield Beach, Fla.) · 2024Review
- CdSe/ZnS Quantum Dots' Impact on In Vitro Actin Dynamics.International journal of molecular sciences · 2024Article
57 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the relationships between the physicochemical properties of engineered nanomaterials and their toxicity is critical for environmental and health risk analysis. However, this task is confounded by material diversity, heterogeneity of published data and limited sampling within individual studies. Here, we present an approach for analysing and extracting pertinent knowledge from published studies focusing on the cellular toxicity of cadmium-containing semiconductor quantum dots. From 307 publications, we obtain 1,741 cell viability-related data samples, each with 24 qualitative and quantitative attributes describing the material properties and experimental conditions. Using random forest regression models to analyse the data, we show that toxicity is closely correlated with quantum dot surface properties (including shell, ligand and surface modifications), diameter, assay type and exposure time. Our approach of integrating quantitative and categorical data provides a roadmap for interrogating the wide-ranging toxicity data in the literature and suggests that meta-analysis can help develop methods for predicting the toxicity of engineered nanomaterials.
Indexed as
Identifiers
26925827What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.