Evidence map›Paper›PMID 39478417›Full record

ReviewJournal of the American Chemical Society2024

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): An Emerging Tool in Radiopharmaceutical Science.

Karel D Klika, Jianlin Han, Marvin S Busse, Vadim A Soloshonok, Ramin Javahershenas, Frank Vanhaecke, Ata Makarem

Abstract readReview
In one paragraph

Review in Journal of the American Chemical Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Nutraceutical potential of moroccanFrontiers in chemistry · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors.

Karel D KlikaMolecular Structure Analysis, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.ORCID 0000-0001-7009-1487
Jianlin HanCollege of Chemical Engineering, Nanjing Forestry University, 210037 Nanjing, China.ORCID 0000-0002-3817-0764
Marvin S BusseInstitute of Pharmacy, University of Hamburg, 20146 Hamburg, Germany.
Vadim A SoloshonokDepartment of Organic Chemistry I, University of the Basque Country, 20018 San Sebastián, Spain.
Ramin JavahershenasDepartment of Organic Chemistry, Faculty of Chemistry, Urmia University, 57179-44514 Urmia, Iran.
Frank VanhaeckeAtomic and Mass Spectrometry - A&MS Research Unit, Department of Chemistry, Ghent University, 9000 Ghent, Belgium.ORCID 0000-0002-1884-3853
Ata MakaremInstitute of Pharmacy, University of Hamburg, 20146 Hamburg, Germany.ORCID 0000-0003-1291-4312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although radioactive experiments are necessary in radiopharmaceutical drug discovery and theranostic cancer research, they are expensive, require special facilities, and face certain restrictions. Thus, finding techniques not involving radioactivity is highly beneficial for minimizing these disadvantages in such research. In this regard, methods using inductively coupled plasma-mass spectrometry (ICP-MS) have emerged as viable alternatives to traditional radioactive approaches. Despite its potential, practical applications of ICP-MS in radiopharmaceutical cancer research have only emerged in recent years. This Perspective focuses on the development and implementation of nonradioactive ICP-MS-based assays in radiopharmaceutical research and aims to inspire future research efforts in this area.

Indexed as

Mass SpectrometryRadiopharmaceuticalsHumansRadiopharmaceuticals

Identifiers

PMID39478417
PMCPMC11565647

What OpenQuestion holds

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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.