Evidence map›Paper›PMID 33437580›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2020

Applications of Surface Modification Technologies in Nanomedicine for Deep Tumor Penetration.

Zimu Li, Xiaoting Shan, Zhidong Chen, Nansha Gao, Wenfeng Zeng, Xiaowei Zeng, Lin Mei

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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  11. CeOAsian journal of pharmaceutical sciences · 2025
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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.

Zimu LiInstitute of Pharmaceutics School of Pharmaceutical Sciences (Shenzhen) Sun Yat-sen University Shenzhen 518107 China.
Xiaoting ShanInstitute of Pharmaceutics School of Pharmaceutical Sciences (Shenzhen) Sun Yat-sen University Shenzhen 518107 China.
Zhidong ChenInstitute of Pharmaceutics School of Pharmaceutical Sciences (Shenzhen) Sun Yat-sen University Shenzhen 518107 China.
Nansha GaoInstitute of Pharmaceutics School of Pharmaceutical Sciences (Shenzhen) Sun Yat-sen University Shenzhen 518107 China.
Wenfeng ZengInstitute of Pharmaceutics School of Pharmaceutical Sciences (Shenzhen) Sun Yat-sen University Shenzhen 518107 China.
Xiaowei ZengInstitute of Pharmaceutics School of Pharmaceutical Sciences (Shenzhen) Sun Yat-sen University Shenzhen 518107 China.ORCID https://orcid.org/0000-0002-2804-2689
Lin MeiInstitute of Pharmaceutics School of Pharmaceutical Sciences (Shenzhen) Sun Yat-sen University Shenzhen 518107 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impermeable barrier of solid tumors due to the complexity of their components limits the treatment effect of nanomedicine and hinders its clinical translation. Several methods are available to increase the penetrability of nanomedicine, yet they are too complex to be effective, operational, or practical. Surface modification employs the characteristics of direct contact between multiphase surfaces to achieve the most direct and efficient penetration of solid tumors. Furthermore, their simple operation makes their use feasible. In this review, the latest surface modification strategies for the penetration of nanomedicine into solid tumors are summarized and classified into "bulldozer strategies" and "mouse strategies." Additionally, the evaluation methods, existing problems, and the development prospects of these technologies are discussed.

Indexed as

cancer therapypenetration evaluationsolid tumorssurface modificationstumor penetration

Identifiers

PMID33437580
PMCPMC7788636

What OpenQuestion holds

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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.