Evidence map›Paper›PMID 39758801›Full record

ArticleToxicology reports2025

High-throughput non-homogenous 3D polycaprolactone scaffold for cancer cell and cancer-associated fibroblast mini-tumors to evaluate drug treatment response.

Atena Malakpour-Permlid, Manuel Marcos Rodriguez, Gavrielle R Untracht, Peter E Andersen, Stina Oredsson, Anja Boisen, Kinga Zór

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxicology reports, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors.

Atena Malakpour-PermlidCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Manuel Marcos RodriguezCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Gavrielle R UntrachtDepartment of Health Technology, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Peter E AndersenDepartment of Health Technology, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Stina OredssonDepartment of Biology, Lund University, Lund, Sweden.
Anja BoisenCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Kongens Lyngby 2800, Denmark.
Kinga ZórCenter for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Kongens Lyngby 2800, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput screening (HTS) three-dimensional (3D) tumor models are a promising approach for cancer drug discovery, as they more accurately replicate

Indexed as

3D High throughput screeningCancer-associated fibroblastsCervical cancer cellsMini-tumorPaclitaxelPCL fiber networkScaffold architecture

Identifiers

PMID39758801
PMCPMC11699757

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.