Evidence map›Paper›PMID 33193403›Full record

ReviewFrontiers in immunology2020

The Critical Choice of Animal Models in Nanomedicine Safety Assessment: A Lesson Learned From Hemoglobin-Based Oxygen Carriers.

Peter Bedőcs, János Szebeni

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Nanotherapeutics in Kidney Disease: Innovations, Challenges, and Future Directions.Journal of the American Society of Nephrology : JASN · 2025
    Review
  4. Review
  5. Article
  6. Nanomedicines against Chagas disease: a critical review.Beilstein journal of nanotechnology · 2024
    Review
  7. Article
  8. Review
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Peter BedőcsDepartment of Anesthesiology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
János SzebeniNanomedicine Research and Education Center, Department of Translational Medicine, Semmelweis University, Budapest, Hungary.
Henry M. Jackson Foundation · USUniversity of Miskolc · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intravenous injection of nanopharmaceuticals can induce severe hypersensitivity reactions (HSRs) resulting in anaphylactoid shock in a small percentage of patients, a phenomenon explicitly reproducible in pigs. However, there is a debate in the literature on whether the pig model of HSRs can be used as a safety test for the prediction of severe adverse reactions in humans. Given the importance of using appropriate animal models for toxicity/safety testing, the choice of the right species and model is a critical decision. In order to facilitate the decision process and to expand the relevant information regarding the pig or no pig dilemma, this review examines an ill-fated clinical development program conducted by Baxter Corporation in the United States 24 years ago, when HemeAssist, an αα (diaspirin) crosslinked hemoglobin-based O

Indexed as

AnaphylaxisAnimalsDisease Models, AnimalDrug HypersensitivityHemoglobinsHumansHypertension, PulmonaryNanomedicineOxygenShock, HemorrhagicHemoglobinsOxygenanaphylactic shockcardiopulmonary distresshemorrhagic shockhypersensitivity reactionsnanopharmaceuticalsporcine CARPA modelpulmonary hypertensiontrauma

Identifiers

PMID33193403
PMCPMC7649120
OpenAlexW3095533695

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.