Evidence map›Paper›PMID 35566843›Full record

ReviewPolymers2022

PH Responsive Polyurethane for the Advancement of Biomedical and Drug Delivery.

Rachel Yie Hang Tan, Choy Sin Lee, Mallikarjuna Rao Pichika, Sit Foon Cheng, Ki Yan Lam

Open access · goldAbstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.5field-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

20 citing papers in PubMed, 83 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Rachel Yie Hang TanSchool of Postgraduate, International Medical University, Kuala Lumpur 57000, Malaysia.ORCID 0000-0003-3112-7605
Choy Sin LeeDepartment of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur 57000, Malaysia.ORCID 0000-0002-9275-8067
Mallikarjuna Rao PichikaDepartment of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur 57000, Malaysia.
Sit Foon ChengUnit of Research on Lipids (URL), Department of Chemistry, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia.ORCID 0000-0003-2612-5525
Ki Yan LamSchool of Postgraduate, International Medical University, Kuala Lumpur 57000, Malaysia.ORCID 0000-0002-2258-097X
IMU University · MYUniversity of Malaya · MY

Funding

Ministry of Higher Education FRGS/1/2019/STG07/IMU/02/1
6 · The paper itself

Abstract

Due to the specific physiological pH throughout the human body, pH-responsive polymers have been considered for aiding drug delivery systems. Depending on the surrounding pH conditions, the polymers can undergo swelling or contraction behaviors, and a degradation mechanism can release incorporated substances. Additionally, polyurethane, a highly versatile polymer, has been reported for its biocompatibility properties, in which it demonstrates good biological response and sustainability in biomedical applications. In this review, we focus on summarizing the applications of pH-responsive polyurethane in the biomedical and drug delivery fields in recent years. In recent studies, there have been great developments in pH-responsive polyurethanes used as controlled drug delivery systems for oral administration, intravaginal administration, and targeted drug delivery systems for chemotherapy treatment. Other applications such as surface biomaterials, sensors, and optical imaging probes are also discussed in this review.

Indexed as

biomedicaldrug deliverypH-responsivepolyurethane

Identifiers

PMID35566843
PMCPMC9102459
OpenAlexW4224299389

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.