Evidence map›Paper›PMID 41179741›Full record

ArticleNational science review2025

Sonodynamic therapy augmented by glycolysis inhibition: a novel metabolic reprogramming strategy for enhanced osteosarcoma treatment.

Zhuorun Song, Shunyi Lu, Yuqi Yang, Zijun Chen, Youdong Chen, Jie Cao, Zimin Zhang, Jun Ge, Huilin Yang, Liang Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in National science review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

10 authors.

Zhuorun SongDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Shunyi LuDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Yuqi YangInstitute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou 215123, China.
Zijun ChenDepartment of Breast Surgery, Obstetrics & Gynecology Hospital of Fudan University, Yangtze River Delta Integration Demonstration Zone (Qingpu), Shanghai 201799, China.
Youdong ChenInstitute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou 215123, China.
Jie CaoInstitute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou 215123, China.
Zimin ZhangDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Jun GeDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Huilin YangDepartment of Orthopedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou 215006, China.
Liang ChengInstitute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou 215123, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A metabolic reprogramming strategy, considered an efficient way to enhance current therapies, has provided renewed hope for treating osteosarcoma (OS), which has reached a bottleneck in clinical practice. In this study, SHK@Mn-TiO

Indexed as

glycolysis inhibitionimmune activationimmunosuppression reversionosteosarcomasono-immune strategy

Identifiers

PMID41179741
PMCPMC12573261

What OpenQuestion holds

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LicenceCC BY
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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.