Evidence map›Paper›PMID 40656939›Full record

ArticlePeerJ2025

Wenyu Du, Zihan Liu, Zhi Wang, Xin Zhou, Zhanjun Dong, Ying Li

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Wenyu Du *Graduate School, Hebei Medical University, Shijiazhuang, China.
Zihan Liu *Graduate School, Hebei Medical University, Shijiazhuang, China.
Zhi WangGraduate School, Hebei Medical University, Shijiazhuang, China.
Xin ZhouGraduate School, Hebei Medical University, Shijiazhuang, China.
Zhanjun DongGraduate School, Hebei Medical University, Shijiazhuang, China.
Ying LiDepartment of Pharmacy, Hebei General Hospital, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sorafenib is a multi-targeted tyrosine kinase inhibitor (TKI) used for the treatment of advanced renal cell carcinoma, hepatocellular carcinoma (HCC), and radioactive iodine-resistant thyroid carcinoma. Notably, glucose transporters sodium-glucose cotransporter 2 (SGLT2) and glucose transporter 1 are highly expressed in HCC and functionally promote tumorigenicity, which increase the possibility of coadministration of TKIs with SGLT2 inhibitors. Therefore, this study aimed to investigate the pharmacokinetic profiles of coadministration of sorafenib with novel SGLT2 inhibitors, either empagliflozin or henagliflozin and to explore their potential mechanisms. Methods: Male Sprague-Dawley (SD) rats were divided into seven groups ( Results: The study revealed that sorafenib slightly increased the plasma concentration-time curves (AUC Conclusions: These pharmacokinetic interactions provide valuable insights for future studies on optimizing the dosing regimens of sorafenib in combination with empagliflozin or henagliflozin, potentially reducing toxicity risks and improving the safety of coadministration in clinical settings.

Indexed as

Antineoplastic AgentsBenzhydryl CompoundsGlucosidesSodium-Glucose Transporter 2 InhibitorsSorafenibAnimalsDrug InteractionsMaleRatsRats, Sprague-DawleyAntineoplastic AgentsBenzhydryl CompoundsempagliflozinGlucosidesSodium-Glucose Transporter 2 InhibitorsSorafenibDrug–drug interactionEmpagliflozinHenagliflozinHepatocellular carcinomaSorafenibType 2 diabetes mellitus

Identifiers

PMID40656939
PMCPMC12248229

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.