Evidence map›Paper›PMID 36735114›Full record

ArticleEJNMMI research2023

A physiologically based pharmacokinetic model for [

Hinke Siebinga, Berlinda J de Wit-van der Veen, Jos H Beijnen, Thomas P C Dorlo, Alwin D R Huitema, Jeroen J M A Hendrikx

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Predicting [EJNMMI physics · 2023
    Article
  4. 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 at 3 institutions in 2 countries.

Hinke SiebingaDepartment of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands. h.siebinga@nki.nl.ORCID http://orcid.org/0000-0001-7767-0393
Berlinda J de Wit-van der VeenDepartment of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jos H BeijnenDepartment of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Thomas P C DorloDepartment of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Alwin D R HuitemaDepartment of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Jeroen J M A HendrikxDepartment of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
The Netherlands Cancer Institute · NLUppsala University · SEUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about parameters that have a relevant impact on (dis)similarities in biodistribution between various

methodsA PBPK model was developed for [

resultsData of 39 and 59 patients receiving [

conclusionThe developed PBPK model adequately predicted tumor and organ uptake for this GEP-NET population. Relevant organ uptake differences between [

Indexed as

68Ga-DOTATATE68Ga-HA-DOTATATEPBPKTumor sink effectWhole-body distribution

Identifiers

PMID36735114
PMCPMC9898489
OpenAlexW4319062638

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.