ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2022
Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed, 12 citations in OpenAlex.
- Strategies for engineering biomimetic lipoproteins to improve drug delivery efficiency and tumor therapy.Drug delivery and translational research · 2026Review
- Inventive HDL Mimicking Nanoparticles: A Promising Frontier in Cardiovascular Disease Management.Cardiovascular toxicology · 2025Review
- Radiolabeling lipoproteins to study and manage disease.European journal of nuclear medicine and molecular imaging · 2025Review
- Exploring innovative strides in radiolabeled nanoparticle progress for multimodality cancer imaging and theranostic applications.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Review
- Good practices forEJNMMI radiopharmacy and chemistry · 2024Review
- Nanoscale Radiotheranostics for Cancer Treatment: From Bench to Bedside.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nanomedicine holds promise for the delivery of therapeutic and imaging agents to improve cancer treatment outcomes. Preclinical studies have demonstrated that high-density lipoprotein (HDL) nanoparticles accumulate in tumor tissue on intravenous administration. Whether this HDL-based nanomedicine concept is feasible in patients is unexplored. Using a multimodal imaging approach, we aimed to assess tumor uptake of exogenously administered HDL nanoparticles in patients with esophageal cancer.
Indexed as
Identifiers
What 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.