Evidence map›Paper›PMID 36855959›Full record

ArticleDrug delivery2023

Phytic acid-modified manganese dioxide nanoparticles oligomer for magnetic resonance imaging and targeting therapy of osteosarcoma.

Qian Ju, Rong Huang, Ruimin Hu, Junjie Fan, Dinglin Zhang, Jun Ding, Rong Li

Open access · goldAbstract read
In one paragraph

Article in Drug delivery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Article
  5. Review
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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 at 3 institutions in 1 country.

Qian JuCollege of Chemistry, Chongqing Normal University, Chongqing, China.
Rong HuangDepartment of Chemistry, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China.
Ruimin HuDepartment of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Junjie FanDepartment of Clinical Laboratory, the 958th Hospital of Chinese People's Liberation Army, Chongqing, China.
Dinglin ZhangDepartment of Chemistry, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China.ORCID 0000-0003-4400-919X
Jun DingDepartment of Ultrasonics, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Rong LiCollege of Chemistry, Chongqing Normal University, Chongqing, China.
Army Medical University · CNChongqing Normal University · CNThe 309th Hospital of Chinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is the most common malignant tumor in the skeletal system with high mortality. Phytic acid (PA) is a natural compound extracted from plant seeds, which shows certain antitumor activity and good bone targeting ability. To develop a novel theranostics for magnetic resonance imaging (MRI) and targeting therapy of osteosarcoma, we employed PA to modify manganese dioxide nanoparticles (MnO

Indexed as

Bone NeoplasmsNanoparticlesOsteosarcomaHumansHydrogen PeroxideMagnetic Resonance ImagingManganese CompoundsOxidesPhytic AcidTumor MicroenvironmentHydrogen PeroxideManganese Compoundsmanganese dioxideOxidesPhytic Acidmagnetic resonance imagingmanganese dioxide nanoparticlesosteosarcomaPhytic acidtargeting therapy

Identifiers

PMID36855959
PMCPMC9980014
OpenAlexW4322719708

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.