Evidence map›Paper›PMID 22212685›Full record

ReviewJournal of pharmacokinetics and pharmacodynamics2012

Lifespan based indirect response models.

Wojciech Krzyzanski, Juan Jose Perez Ruixo

Abstract readReview
In one paragraph

Review in Journal of pharmacokinetics and pharmacodynamics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Delay differential equations based models in NONMEM.Journal of pharmacokinetics and pharmacodynamics · 2021
    Article
  3. Delayed logistic indirect response models: realization of oscillating behavior.Journal of pharmacokinetics and pharmacodynamics · 2018
    Article
  4. Models for the red blood cell lifespan.Journal of pharmacokinetics and pharmacodynamics · 2016
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Romiplostim dose-response in patients with myelodysplastic syndromes.British journal of clinical pharmacology · 2013
    Article
  10. Article
  11. General relationship between transit compartments and lifespan models.Journal of pharmacokinetics and pharmacodynamics · 2012
    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.

Wojciech KrzyzanskiDepartment of Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USA. wk@buffalo.edu
Juan Jose Perez Ruixo
Amgen (United States) · USUniversity at Buffalo, State University of New York · US

Funding

MATHEMATICAL MODELS IN PHARMACODYNAMICSR01GM057980 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J., KRZYZANSKI, WOJCIECH · 1998 to 2013
$3.4M
NIGMS NIH HHS GM57980NIGMS NIH HHS R01 GM057980
6 · The paper itself

Abstract

In the field of hematology, several mechanism-based pharmacokinetic-pharmacodynamic models have been developed to understand the dynamics of several blood cell populations under different clinical conditions while accounting for the essential underlying principles of pharmacology, physiology and pathology. In general, a population of blood cells is basically controlled by two processes: the cell production and cell loss. The assumption that each cell exits the population when its lifespan expires implies that the cell loss rate is equal to the cell production rate delayed by the lifespan and justifies the use of delayed differential equations for compartmental modeling. This review is focused on lifespan models based on delayed differential equations and presents the structure and properties of the basic lifespan indirect response (LIDR) models for drugs affecting cell production or cell lifespan distribution. The LIDR models for drugs affecting the precursor cell production or decreasing the precursor cell population are also presented and their properties are discussed. The interpretation of transit compartment models as LIDR models is reviewed as the basis for introducing a new LIDR for drugs affecting the cell lifespan distribution. Finally, the applications and limitations of the LIDR models are discussed.

Indexed as

Models, BiologicalAlgorithmsAnimalsCell SurvivalHumansMyeloid Cells

Identifiers

PMID22212685
PMCPMC3684441
OpenAlexW2022996612

What OpenQuestion holds

Textmetadata
LicenceTDM
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.