Evidence map›Paper›PMID 32118135›Full record

ArticleACS omega2020

Novel Multifunctional Nanoagent for Visual Chemo/Photothermal Therapy of Metastatic Lymph Nodes via Lymphatic Delivery.

Juan Cheng, Ying Liu, Lingyun He, Weiwei Liu, Yuli Chen, Fengqiu Liu, Yuan Guo, Haitao Ran, Lu Yang

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

9 authors at 1 institution in 1 country.

Juan ChengUltrasound Department, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Ying LiuDepartment of Breast and Thyroid Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Lingyun HeDepartment of Scientific Research and Education Section, Chongqing Health Center for Women and Children, Chongqing 401120, China.
Weiwei LiuUltrasound Department, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Yuli ChenUltrasound Department, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Fengqiu LiuUltrasound Department, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Yuan GuoUltrasound Department, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Haitao RanUltrasound Department, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Lu YangDepartment of Breast and Thyroid Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the major diseases that threaten women's health. Lymph node (LN) metastasis is the most common metastatic path of breast cancer. Finding a simple, effective, and safe strategy to eliminate metastatic tumors in LNs is highly desired for clinical use. Carbon nanoparticles (CNs), as an LN tracer, have been widely used in the clinical setting. In addition, previous experiments have confirmed that CNs have good photoacoustic imaging and photothermal effects. In this study, we used CNs as a photothermal conversion material and drug carrier, poly(lactic-

Identifiers

PMID32118135
PMCPMC7045339
OpenAlexW3006258790

What OpenQuestion holds

Textmetadata
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.