Evidence map›Paper›PMID 32329382›Full record

ReviewJournal of enzyme inhibition and medicinal chemistry2020

Chemical approaches for the enhancement of porphyrin skeleton-based photodynamic therapy.

Yuyan Lin, Tao Zhou, Renren Bai, Yuanyuan Xie

Open access · goldAbstract readReview
In one paragraph

Review in Journal of enzyme inhibition and medicinal chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 77 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. IUCrData · 2024
    Article
  8. Review
  9. Photofixation of NRSC advances · 2023
    Article
  10. Triterpenes and Pheophorbides fromMolecules (Basel, Switzerland) · 2023
    Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Yuyan LinCollaborative Innovation Centre of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, China.
Tao ZhouSchool of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, China.
Renren BaiCollege of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, China.
Yuanyuan XieCollaborative Innovation Centre of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, China.
Zhejiang University of Technology · CNZhejiang Gongshang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of photodynamic therapy (PDT), remarkable studies have been conducted to generate photosensitisers (PSs), especially porphyrin PSs. A variety of chemical modifications of the porphyrin skeleton have been introduced to improve cellular delivery, stability, and selectivity for cancerous tissues. This review aims to highlight the developments in porphyrin-based structural modifications, with a specific emphasis on the role of PDT in anticancer treatment and the design of PSs to achieve a synergistic effect on multiple targets.

Indexed as

PhotochemotherapyAnimalsAntineoplastic AgentsCell ProliferationDrug DesignDrug Screening Assays, AntitumorHumansMolecular StructureNeoplasmsPhotosensitizing AgentsPorphyrinsAntineoplastic AgentsPhotosensitizing AgentsPorphyrinsanti-cancerPDTphotoactivityporphyrinPS

Identifiers

PMID32329382
PMCPMC7241559
OpenAlexW3017720948

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.