Evidence map›Paper›PMID 36387483›Full record

ArticleHeliyon2022

Assessment of potential drug-drug interactions among outpatients in a tertiary care hospital: focusing on the role of P-glycoprotein and CYP3A4 (retrospective observational study).

Krupa A Patel, Masumi H Bhatt, Rajvi V Hirani, Vidheesha A Patel, Vishvas N Patel, Gaurang B Shah, Mehul R Chorawala

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. 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
3.2field-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, 20 citations in OpenAlex.

  1. A single-centre retrospective evaluation of potential drug-drug interactions in breast cancer patients undergoing CDK 4/6 inhibitors chemotherapy.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2026
    Article
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  3. Review
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  6. Sorafenib and Piperine co-loaded PLGA nanoparticles: Development, characterization, and anti-cancer activity against hepatocellular carcinoma cell line.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  7. Review
  8. Article
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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 at 1 institution in 1 country.

Krupa A PatelL. M. College of Pharmacy, Navrangpura, Ahmedabad 380009, Gujarat, India.
Masumi H BhattL. M. College of Pharmacy, Navrangpura, Ahmedabad 380009, Gujarat, India.
Rajvi V HiraniL. M. College of Pharmacy, Navrangpura, Ahmedabad 380009, Gujarat, India.
Vidheesha A PatelL. M. College of Pharmacy, Navrangpura, Ahmedabad 380009, Gujarat, India.
Vishvas N PatelL. M. College of Pharmacy, Navrangpura, Ahmedabad 380009, Gujarat, India.
Gaurang B ShahL. M. College of Pharmacy, Navrangpura, Ahmedabad 380009, Gujarat, India.
Mehul R ChorawalaL. M. College of Pharmacy, Navrangpura, Ahmedabad 380009, Gujarat, India.
B.J. Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Selecting a medicine has a significant impact on the quality of therapy including efficacy and safety. P-glycoprotein and CYP3A4 share several common substrates known as bi-substrates. Both play major role in the pharmacokinetics and pharmacodynamics when over or under expressed. Objective: The study aimed to assess the Drug-Drug Interaction (DDI) related to P-glycoprotein (P-gp) and Cytochrome P450-3A4 (CYP3A4), to predict their clinical outcomes and also to discover prospective predictors of pDDIs. Methods: The subjects in this retrospective study ranged in age from 18 to 95 years with polypharmacy prescriptions. Information was gathered through patient medical records. Based on Micromedex and previous literature studies, medications prescribed to the patients were observed for pDDIs according to risk rating scale for drug interactions. Results: A total of 504 patients (160 males and 344 females) were included in the study. The mean of pDDI seen in the patients was 1.66 ± 1.48 and total 825 pDDIs were discovered. The factors significantly associated with having ≥1 pDDIs included: taking ≥5 medicines (OR 1.747), increased age (OR 1.026) increased comorbidities (OR 1.73). Conclusion: In prescriptions, a considerable number of probable DDI were discovered. Therefore, careful selection of drugs and identification of mechanisms for DDI is needed to lower the frequency of pDDI.

Indexed as

Bi-substratesCYP3A4Drug–drug interaction (DDI)MDR1 geneOutpatientP-Glycoprotein (P-gp)Pharmacology

Identifiers

PMID36387483
PMCPMC9641194
OpenAlexW4307460415

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.