Evidence map›Paper›PMID 34967262›Full record

ArticleDrug delivery2022

Biodegradable hollow mesoporous organosilica nanotheranostics (HMONs) as a versatile platform for multimodal imaging and phototherapeutic-triggered endolysosomal disruption in ovarian cancer.

Pengfei Li, Bingquan Lin, Zhian Chen, Pan Liu, Jiaqi Liu, Weili Li, Ping Liu, Zhaoze Guo, Chunlin Chen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug delivery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 34% 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, 14 citations in OpenAlex.

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

Pengfei LiDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Bingquan LinDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhian ChenFirst Clinical Medical College, Southern Medical University, Guangzhou, China.
Pan LiuDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jiaqi LiuDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Weili LiDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ping LiuDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhaoze GuoBreast Center, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Chunlin ChenDepartment of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Nanfang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major impediment in the development of nanoplatform-based ovarian cancer therapy is endo/lysosome entrapment. To solve this dilemma, a hollow mesoporous organosilica-based nanoplatform (HMON@CuS/Gd

Indexed as

Cell Line, TumorCell SurvivalChemistry, PharmaceuticalEndosomesFemaleHumansHydrogen-Ion ConcentrationMultimodal ImagingOrganosilicon CompoundsOvarian NeoplasmsPhototherapySurface PropertiesTheranostic NanomedicineOrganosilicon CompoundsHollow mesoporous organosilica nanoparticles (HMONs)lysosomal disruptionmultimodal imagingovarian cancerphototherapy

Identifiers

PMID34967262
PMCPMC8725973
OpenAlexW4200259501

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.