Evidence map›Paper›PMID 28353185›Full record

ArticleJournal of pharmacokinetics and pharmacodynamics2017

PK-PD Compass: bringing infectious diseases pharmacometrics to the patient's bedside.

Catharine C Bulik, Justin C Bader, Li Zhang, Scott A Van Wart, Christopher M Rubino, Sujata M Bhavnani, Kim L Sweeney, Paul G Ambrose

Erratum issuedAbstract read
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In one paragraph

Article in Journal of pharmacokinetics and pharmacodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Catharine C BulikInstitute for Clinical Pharmacodynamics (ICPD), 242 Broadway, Schenectady, NY, 12305, USA. cbulik@icpd.com.
Justin C BaderInstitute for Clinical Pharmacodynamics (ICPD), 242 Broadway, Schenectady, NY, 12305, USA.
Li ZhangSanofi, Bridgewater, New Jersey, USA.
Scott A Van WartInstitute for Clinical Pharmacodynamics (ICPD), 242 Broadway, Schenectady, NY, 12305, USA.
Christopher M RubinoInstitute for Clinical Pharmacodynamics (ICPD), 242 Broadway, Schenectady, NY, 12305, USA.
Sujata M BhavnaniInstitute for Clinical Pharmacodynamics (ICPD), 242 Broadway, Schenectady, NY, 12305, USA.
Kim L SweeneyInstitute for Clinical Pharmacodynamics (ICPD), 242 Broadway, Schenectady, NY, 12305, USA.
Paul G AmbroseInstitute for Clinical Pharmacodynamics (ICPD), 242 Broadway, Schenectady, NY, 12305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial stewardship programs face many challenges, one of which is a lack of guidance regarding antimicrobial dose, interval, and duration. There is no tool that considers patient demographic, pathogen susceptibility, and pharmacokinetic-pharmacodynamic (PK-PD) targets for efficacy in order to evaluate appropriate antimicrobial dosing regimens. The PK-PD Compass, an educational mobile application, was developed to address this unmet need. The application consists of a Monte Carlo simulation algorithm which integrates pharmacokinetic (PK) and PK-PD data, patient-specific characteristics, and pathogen susceptibility data. Through the integration of these data, the application allows practitioners to assess the percent probability of PK-PD target attainment for 35 intravenous antimicrobial agents across 29 infection categories. Population PK models for each drug were identified, evaluated, and refined as needed. Susceptibility breakpoints were based upon FDA and CLSI criteria. By incorporating these data into one interface, clinicians can select the infection, pathogen, and antimicrobial agents of interest and obtain the percent probability of PK-PD target attainment for each regimen based upon patient-specific characteristics. The antimicrobial dosing regimens provided include those recommended by standard guidelines and reference texts. However, unlike these references, potential choices are prioritized based on percent probabilities of PK-PD target attainment. Such data will educate clinicians on selecting optimized antibiotic regimens through the lens of PK-PD.

Indexed as

AgedAnti-Infective AgentsCommunicable DiseasesFemaleHumansMaleMiddle AgedModels, BiologicalMonte Carlo MethodAnti-Infective AgentsAntimicrobial stewardshipPharmacodynamicsPharmacokineticsSoftware

Identifiers

What OpenQuestion holds

Textmetadata
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.