Evidence map›Paper›PMID 34772213›Full record

ReviewMaterials (Basel, Switzerland)2021

Diflunisal Targeted Delivery Systems: A Review.

Petr Snetkov, Svetlana Morozkina, Roman Olekhnovich, Mayya Uspenskaya

Open access · goldAbstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Deep Supramolecular Language Processing for Co-Crystal Prediction.Angewandte Chemie (International ed. in English) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Arabian journal of chemistry · 2023
    Article
  7. Article
  8. Article
  9. 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 1 institution in 1 country.

Petr SnetkovCenter of Chemical Engineering, ITMO University, Kronverkskiy Prospekt, 49A, 197101 Saint Petersburg, Russia.ORCID 0000-0001-9949-5709
Svetlana MorozkinaCenter of Chemical Engineering, ITMO University, Kronverkskiy Prospekt, 49A, 197101 Saint Petersburg, Russia.ORCID 0000-0003-0122-0251
Roman OlekhnovichCenter of Chemical Engineering, ITMO University, Kronverkskiy Prospekt, 49A, 197101 Saint Petersburg, Russia.ORCID 0000-0002-6894-1224
Mayya UspenskayaCenter of Chemical Engineering, ITMO University, Kronverkskiy Prospekt, 49A, 197101 Saint Petersburg, Russia.ORCID 0000-0003-2510-2639
ITMO University · RU

Funding

Russian Science Foundation 21-74-20093
6 · The paper itself

Abstract

Diflunisal is a well-known drug for the treatment of rheumatoid arthritis, osteoarthritis, primary dysmenorrhea, and colon cancer. This molecule belongs to the group of nonsteroidal anti-inflammatory drugs (NSAID) and thus possesses serious side effects such as cardiovascular diseases risk development, renal injury, and hepatic reactions. The last clinical data demonstrated that diflunisal is one of the recognized drugs for the treatment of cardiac amyloidosis and possesses a survival benefit similar to that of clinically approved tafamidis. Diflunisal stabilizes the transthyretin (TTR) tetramer and prevents the misfolding of monomers and dimers from forming amyloid deposits in the heart. To avoid serious side effects of diflunisal, the various delivery systems have been developed. In the present review, attention is given to the recent development of diflunisal-loaded delivery systems, its technology, release profiles, and effectiveness.

Indexed as

amyloidosisdiflunisaldrug delivery systemsrelease profile

Identifiers

PMID34772213
PMCPMC8588122
OpenAlexW3213725962

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.