Evidence map›Paper›PMID 38673067›Full record

ArticleJournal of personalized medicine2024

The Impact of

Chiau Ling Choong, Farida Islahudin, Hin-Seng Wong, Rosnawati Yahya, Nor Asyikin Mohd Tahir, Mohd Makmor-Bakry

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 3 institutions in 2 countries.

Chiau Ling ChoongCenter of Quality Medicine Management, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia.ORCID 0000-0003-1098-2776
Farida IslahudinCenter of Quality Medicine Management, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia.ORCID 0000-0002-4450-4361
Hin-Seng WongDepartment of Nephrology, Selayang Hospital, Ministry of Health Malaysia, Batu Caves 68100, Malaysia.ORCID 0000-0002-4807-7053
Rosnawati YahyaDepartment of Nephrology, Kuala Lumpur Hospital, Ministry of Health Malaysia, Kuala Lumpur 50586, Malaysia.ORCID 0000-0002-1347-5318
Nor Asyikin Mohd TahirCenter of Quality Medicine Management, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia.ORCID 0000-0002-7330-7148
Mohd Makmor-BakryCenter of Quality Medicine Management, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, Kuala Lumpur 50300, Malaysia.
National University of Malaysia · MYMinistry of Health · MYAirlangga University · ID

Funding

Ministry of Education Malaysia, under the Fundamental Research Grant Scheme FRGS/1/2023/SKK16/UKM/02/1
6 · The paper itself

Abstract

Personalized medicine in kidney transplantation has the potential to improve outcomes and reduce complications. The aim of this study was to investigate the influence of single nucleotide polymorphisms in genes encoding metabolizing enzymes (CYP3A5) and transporters (ABCC2) on clinical outcomes (acute graft failure and/or acute tubular necrosis (ATN)) in kidney transplant recipients (KTR). This was a multicenter, retrospective cohort study where adult KTR who had undergone kidney transplantation between 2020 and 2021 and received tacrolimus-mycophenolate treatment were enrolled in the study. DNA was extracted from collected blood samples using a commercially available kit.

Indexed as

ABCC2clinical outcomeCYP3A5kidney transplant recipientspolymorphismtacrolimus

Identifiers

PMID38673067
PMCPMC11050844
OpenAlexW4395000427

What Socratic 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 Socratic graph.