Evidence map›Paper›PMID 33753973›Full record

ArticleEJIFCC2021

Avoiding insufficient therapies and overdosing with co-reporting eGFRs (estimated glomerular filtration rate) for personalized drug therapy and improved outcomes - a simulation of the financial benefits.

Adrian Hoenle, Karin Johanna Haase, Sebastian Maus, Manfred Hofmann, Matthias Orth

Abstract read
In one paragraph

Article in EJIFCC, 2021. 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
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Adrian HoenleVinzenz von Paul Kliniken gGmbH, Institut für Laboratoriumsmedizin, Stuttgart, Germany.
Karin Johanna HaaseVinzenz von Paul Kliniken gGmbH, Apotheke, Stuttgart, Germany.
Sebastian MausVinzenz von Paul Kliniken gGmbH, Klinik für Nephrologie, Stuttgart, Germany.
Manfred HofmannVinzenz von Paul Kliniken gGmbH, Klinik für Gynäkologie und Geburtshilfe, Stuttgart, Germany.
Matthias OrthVinzenz von Paul Kliniken gGmbH, Institut für Laboratoriumsmedizin, Stuttgart, Germany.ORCID https://orcid.org/0000-0003-2881-8384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with impaired renal function are at high risk for morbidity and mortality. Chronic kidney disease (CKD) even in the early stages can be associated with significant side effects of drug therapy, longer length of stay, and high costs. Correct assessment of renal function in the hospital is important to detect CKD, to avoid further damage to the kidneys, and to optimize pharmacological therapy. Current protocols for renal function testing in drug dosing are only creatinine based, are not robust enough, and can wrongly classify certain patients. Goal of our simulation study is to optimize noninvasive renal function estimates and to allow for optimal dosing of pharmacological treatment without further renal damage. Co-reporting of creatinine- and of cystatin C-derived estimated glomerular filtration rates (eGFR) allows a personalized approach for patients with large discrepancies in eGFR and it enabled us in detecting patients at high risk for side effects due to incorrect drug dosing. This approach might be highly effective for patients as well as for clinicians. In addition, we simulated the efficiency by estimating savings for the hospital administration and the payor with a benefit cost ratio of 58 to 1.

Indexed as

co-reportingcreatininecystatin Cdrug dosingglomerular filtration ratepatient safety

Identifiers

PMID33753973
PMCPMC7941064

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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.