Evidence map›Paper›PMID 30800755›Full record

ArticleMedEdPORTAL : the journal of teaching and learning resources2017

Drug-Induced Acute Kidney Injury: A Standardized Patient Case for Clerkship Students.

Rebecca Kramer, Kelly Karpa

Open access · diamondAbstract read
In one paragraph

Article in MedEdPORTAL : the journal of teaching and learning resources, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Antiviral Pharmacology: A Standardized Patient Case for Preclinical Medical Students.MedEdPORTAL : the journal of teaching and learning resources · 2022
    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

2 authors at 2 institutions in 1 country.

Rebecca KramerPharmD Candidate, Duquesne University.
Kelly KarpaAssociate Professor, Department of Pharmacology, Pennsylvania State University College of Medicine.
Candid · USDuquesne University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDrug-induced nephrotoxicity is a common yet preventable cause of acute renal failure. With the upward trend of prescription and over-the-counter medication use, it has become increasingly important for health care professionals to not only be able to identify acute renal failure precipitated by medications, but also to recognize medications that are eliminated by the kidneys and adjust dosages accordingly to prevent further damage.

methodsIn this activity, third-year clerkship medical students are presented with a standardized patient portraying an acute medical problem in which students must ascertain the underlying cause of the problem and draw from their knowledge of pharmacology, pharmacokinetic principles, and clinical therapeutics to develop a plan to address the patient's medical concerns.

resultsWe found that few students were able to identify the underlying cause of the patient's acute condition, and none were successful at applying pharmacokinetic principles appropriately. DISCUSSION: Implementing this case with third-year medical students has identified the need to revisit pharmacokinetic principles in an applied setting. As a result, this topic is being added to a course that highlights the relevance of basic sciences in clinical contexts for clerkship students.

Indexed as

Acute Kidney FailureClerkshipDrug-Induced NephropathyPharmacokineticsPharmacologyProblem-SolvingRenal InjuryStandardized Patient

Identifiers

PMID30800755
PMCPMC6342158
OpenAlexW2759071343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.