Evidence map›Paper›PMID 33791883›Full record

ArticleThe AAPS journal2021

Age-Related Changes in Pediatric Physiology: Quantitative Analysis of Organ Weights and Blood Flows : Age-Related Changes in Pediatric Physiology.

Hsuan Ping Chang, Se Jin Kim, Di Wu, Kushal Shah, Dhaval K Shah

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Article in The AAPS journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Physiologically based pharmacokinetic modeling of small molecules: How much progress have we made?Drug metabolism and disposition: the biological fate of chemicals · 2025
    Review
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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.

Hsuan Ping ChangDepartment of Pharmaceutical Sciences, 455 Pharmacy Building, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, 14214-8033, USA.
Se Jin KimDepartment of Pharmaceutical Sciences, 455 Pharmacy Building, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, 14214-8033, USA.
Di WuDepartment of Pharmaceutical Sciences, 455 Pharmacy Building, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, 14214-8033, USA.
Kushal ShahVertex Pharmaceuticals Incorporated, Boston, Massachusetts, USA.
Dhaval K ShahDepartment of Pharmaceutical Sciences, 455 Pharmacy Building, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, 14214-8033, USA. dshah4@buffalo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of comprehensive and updated quantitative relationships between physiological parameters and age for pediatrics remains to be accomplished. Towards this goal, we have performed a thorough literature search and collected published data on organ weights and organ blood flow rates for 0-20-year-old male and female human subjects. The data were used to develop continuous relationships between physiological parameters and age, using a single form of mathematical equation. Four sets of equations (0-2 years male, 0-2 years female, 2-20 years male, 2-20 years female) for the body weight vs. age, height vs. age, and organ weight vs. age relationships and 2 sets of equations (0-20 years male, 0-20 years female) for organ flow rate vs. age relationship were developed. The variability of each physiological parameter was also estimated, and the equations allow simulation of a virtual population for a specific age, weight, and sex. We further compared the physiological parameters vs. age curves simulated using our equations to the existing databases (Simcyp Simulator and PK-Sim). The predicted physiological parameters were comparable between our study and the existing databases, validating our equation's utility. Additionally, we described body weight-normalized organ weights and organ blood flow rates as a function of age, to provide an insight into how the contribution of each organ towards total body weight and total blood flow changes throughout ontogenesis. The physiological parameter database and equations presented here can serve as an open source to facilitate the development of pediatric physiologically based pharmacokinetic models.

Indexed as

Models, BiologicalAdolescentAge FactorsBody HeightBody WeightChildChild DevelopmentChild, PreschoolComputer SimulationFemaleHumansInfantInfant, NewbornMaleOrgan SizeRegional Blood Floworgan blood floworgan weightPBPKpediatricspharmacokineticsphysiological parameters

Identifiers

What Socratic holds

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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 Socratic graph.