Evidence map›Paper›PMID 38794132›Full record

ArticlePharmaceuticals (Basel, Switzerland)2024

An Assessment of Different Decision Support Software from the Perspective of Potential Drug-Drug Interactions in Patients with Chronic Kidney Diseases.

Muhammed Yunus Bektay, Aysun Buker Cakir, Meltem Gursu, Rumeyza Kazancioglu, Fikret Vehbi Izzettin

Abstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Muhammed Yunus BektayDepartment of Clinical Pharmacy, Istanbul University-Cerrahpasa, Istanbul 34500, Turkey.ORCID 0000-0003-2032-9957
Aysun Buker CakirDepartment of Clinical Pharmacy, Bezmialem Vakif University, Istanbul 34093, Turkey.
Meltem GursuDepartment Nephrology, Bezmialem Vakif University, Istanbul 34093, Turkey.
Rumeyza KazanciogluDepartment Nephrology, Bezmialem Vakif University, Istanbul 34093, Turkey.ORCID 0000-0003-1217-588X
Fikret Vehbi IzzettinDepartment of Clinical Pharmacy, Bezmialem Vakif University, Istanbul 34093, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is a multifaceted disorder influenced by various factors. Drug-drug interactions (DDIs) present a notable risk factor for hospitalization among patients with CKD. This study aimed to assess the frequency and attributes of potential DDIs (pDDIs) in patients with CKD and to ascertain the concordance among different Clinical Decision Support Software (CDSS). A cross-sectional study was conducted in a nephrology outpatient clinic at a university hospital. The pDDIs were identified and evaluated using Lexicomp

Indexed as

chronic kidney diseaseclinical decision support softwareclinical pharmacistdrug–drug interactionpharmaceutical care

Identifiers

PMID38794132
PMCPMC11124126

What OpenQuestion holds

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Registered trials

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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.