Evidence map›Paper›PMID 35694478›Full record

ArticleACS omega2022

PVP-Modified Multifunctional Bi

Yifan Hao, Bo Peng, Chao Si, Bo Wang, Chengfeng Luo, Menghao Chen, Cheng Luo, Baijuan Gong, Zhimin Li

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2022. 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
2.9field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Human serum albumin-based KBiFJournal of nanobiotechnology · 2025
    Article
  3. Article
  4. Article
  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

9 authors at 2 institutions in 1 country.

Yifan HaoDepartment of Oral Radiology, Hospital of Stomatology, Jilin University, Changchun 130021, P. R. China.
Bo PengDepartment of Oral Radiology, School of Stomatology, China Medical University, Shenyang 110002, P. R. China.
Chao SiDepartment of Oral Radiology, Hospital of Stomatology, Jilin University, Changchun 130021, P. R. China.
Bo WangDepartment of Oral Radiology, School of Stomatology, China Medical University, Shenyang 110002, P. R. China.
Chengfeng LuoDepartment of Oral Radiology, School of Stomatology, China Medical University, Shenyang 110002, P. R. China.
Menghao ChenDepartment of Oral Radiology, School of Stomatology, China Medical University, Shenyang 110002, P. R. China.
Cheng LuoDepartment of Orthodontics, School of Stomatology, China Medical University, Shenyang 110002, P. R. China.
Baijuan GongDepartment of Orthodontics, School of Stomatology, China Medical University, Shenyang 110002, P. R. China.
Zhimin LiDepartment of Oral Radiology, School of Stomatology, China Medical University, Shenyang 110002, P. R. China.ORCID https://orcid.org/0000-0003-0892-4999
China Medical University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant tumors are one of the main causes of human death. The clinical treatment of malignant tumors is usually surgery, chemotherapy, radiotherapy, and so forth. Radiotherapy, as a traditional and effective treatment method for cancer, is widely used in clinical practice, but the radiation resistance of tumor cells and the toxic side effects to normal cells are still the Achilles heel of radiotherapy. Multifunctional inorganic high-atom nanomaterials are expected to enhance the effect of tumor radiotherapy. Tungsten and bismuth, which contain elements with high atomic coefficients, have strong X-ray energy attenuation capability. We synthesized Bi

Identifiers

PMID35694478
PMCPMC9178605
OpenAlexW4281484574

What OpenQuestion 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 OpenQuestion graph.