Evidence map›Paper›PMID 40181469›Full record

ReviewJournal of pharmaceutical health care and sciences2025

A clinical decision support system promotes the appropriate use of drugs in hospitalized patients with kidney impairment.

Akihiro Sonoda

Abstract readReview
In one paragraph

Review in Journal of pharmaceutical health care and sciences, 2025. 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
–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

3 citing papers in PubMed.

  1. Global under- and overprescribing of drugs-a scoping review.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  2. Article
  3. Review
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

1 author.

Akihiro SonodaDepartment of Pharmacy, Izumi Regional Medical Center, 4513 Akasegawa, Akune, 899 - 1611, Japan. akihiro_sonoda@cronos.ocn.ne.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of individuals with chronic kidney disease (CKD) is increasing worldwide, including in Japan. Patients with advanced CKD are at an increased risk of serious adverse drug events associated with hospitalization, life-threatening complications, and death.It is necessary to adjust the dosage of renally excreted drugs according to kidney function in patients with CKD. In addition, elderly patients and those with impaired kidney function are also at high risk of drug-induced nephrotoxicity due to nephrotoxic drugs, and special attention should be paid to changes in kidney function before and after administration. Hospitalized patients are more susceptible to acute kidney injury than outpatients, and care must be taken when administering renally excreted or nephrotoxic drugs. Clinical decision support systems (CDSSs) play an important role in preventing overdosage of renally excreted drugs and avoiding the inappropriate use of nephrotoxic drugs. This review discussed the effectiveness, issues, and potential of CDSSs for physicians' prescriptions and pharmacists' prescription audits before hospitalized patients with kidney impairment are administered renally excreted drugs or nephrotoxic drugs, and the follow-up of patients receiving them. Although inappropriate prescriptions of renally excreted drugs due to alerts to prescribers were reduced, prescribers may have ignored interruption alerts. Therefore, the acceptance rate of alerts by prescribers can be improved by minimizing interruptions to the prescriber workflow, specifying only high-severity alerts, and automatically inputting the dosage, administration frequency, and administration duration according to kidney function when the prescriber selects a drug when entering a prescription. Prescription audits by pharmacists using electronic alerts from the CDSS and dosage confirmation sheets were effective in preventing overdosing of renally excreted drugs. In addition, pharmacist interventions for patients at risk of acute kidney injury (AKI) using CDSS alerts may be useful in preventing a decrease in kidney function and the onset of AKI due to nephrotoxic drugs. Although the usefulness of CDSSs may be further improved in the future, further evaluation and improvement of CDSSs are required.

Indexed as

Acute kidney injuryChronic kidney diseaseClinical decision support systemHospitalized patientsKidney impairmentNephrotoxic drugsPharmacistPhysicianRenally excreted drugs

Identifiers

PMID40181469
PMCPMC11970011

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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.