Evidence map›Paper›PMID 35618478›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2023

Effective Treatment of Human Breast Carcinoma Xenografts with Single-Dose

Yutian Feng, Rebecca Meshaw, Xiao-Guang Zhao, Stephen Jannetti, Ganesan Vaidyanathan, Michael R Zalutsky

Abstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

  1. Review
  2. Potency and safety of novel [British journal of cancer · 2026
    Article
  3. Article
  4. Effective treatment of human prostate carcinoma xenografts with Single-Dose PSMA-targeted [European journal of nuclear medicine and molecular imaging · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Preclinical evaluation of [European journal of nuclear medicine and molecular imaging · 2025
    Article
  10. Article
  11. Review
  12. Recent advances in the development ofAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
    Review
  13. Review
  14. Review
  15. Review
  16. Radiosynthesis and preclinical evaluations of [American journal of nuclear medicine and molecular imaging · 2024
    Article
  17. Article
  18. Molecular imaging for better theranostics.European journal of nuclear medicine and molecular imaging · 2023
    Article
  19. Review
  20. Article
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

6 authors.

Yutian FengDepartment of Radiology, Duke University Medical Center, Durham, North Carolina.
Rebecca MeshawDepartment of Radiology, Duke University Medical Center, Durham, North Carolina.
Xiao-Guang ZhaoDepartment of Radiology, Duke University Medical Center, Durham, North Carolina.
Stephen JannettiDepartment of Radiology, Duke University Medical Center, Durham, North Carolina.
Ganesan VaidyanathanDepartment of Radiology, Duke University Medical Center, Durham, North Carolina.
Michael R ZalutskyDepartment of Radiology, Duke University Medical Center, Durham, North Carolina zalut001@mc.duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-domain antibody fragments (sdAbs) are attractive for targeted α-particle therapy, particularly with

Indexed as

Breast NeoplasmsSingle-Domain AntibodiesAnimalsCell Line, TumorErb-b2 Receptor Tyrosine KinasesFemaleHeterograftsHumansMiceTreatment OutcomeErb-b2 Receptor Tyrosine KinasesSingle-Domain Antibodies211AtHER2nanobodyradiopharmaceutical therapysingle-domain antibody fragmentα-emitter

Identifiers

PMID35618478
PMCPMC9841253

What OpenQuestion holds

Textmetadata
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.