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Related Concept Videos

Pharmacokinetics in Pediatric Patients: Drug Metabolism01:24

Pharmacokinetics in Pediatric Patients: Drug Metabolism

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In pediatric care, understanding the nuances of hepatic drug metabolism is crucial, as it significantly differs from that of adults. This divergence is primarily due to the developmental stage of drug-metabolizing enzymes, which affects how medications are processed in the body. In neonates, for instance, the activity of Phase I enzymes—critical for the initial breakdown of drugs—is markedly reduced, functioning at just 20–40% of the levels seen in adults. This reduction poses...
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Pharmacokinetics in Pediatric Patients: Drug Excretion01:26

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In pediatric medicine, understanding the renal function and drug elimination nuances is crucial for administering safe and effective treatments. Newborns, in particular, display markedly slower renal functions than adults, profoundly affecting how drugs are cleared from their bodies. This slower drug clearance requires clinicians to extend the dosing intervals for many medications to prevent drug accumulation and toxicity while ensuring therapeutic efficacy.One key area where these adjustments...
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Pharmacokinetics in Pediatric Patients: Overview and Drug Absorption01:23

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Understanding the physiological differences in the pediatric population is crucial for effective pharmacotherapy. Neonates, infants, and children exhibit significant variations in gastric pH, gastric emptying time, intestinal transit time, and biliary function. These variations profoundly affect oral drug absorption, necessitating a nuanced approach to pediatric dosing.Neonates present with a unique physiological profile, having a gastric pH greater than 4 and faster and more irregular gastric...
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Pharmacokinetics in Pediatric Patients: Drug Distribution01:17

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Drug distribution in the pediatric population exhibits unique challenges and considerations due to the physiological differences between children, particularly neonates and infants, and adults. A crucial aspect of pediatric pharmacology is understanding how these differences impact the pharmacokinetics of various drugs, necessitating age-specific dosing strategies to ensure efficacy and safety.Neonates and infants have a higher total body water content, ~75%–90% of their body weight,...
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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Pediatric literature trends: high-level analysis using text-mining.

Sarina Levy-Mendelovich1,2,3, Yiftach Barbash4,5, Ivan Budnik6

  • 1Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Levysarina@gmail.com.

Pediatric Research
|March 18, 2021
PubMed
Summary
This summary is machine-generated.

Text-mining reveals significant shifts in pediatric research trends over 20 years. Epidemiological studies are increasing, while other topics are declining, highlighting evolving research dynamics.

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Area of Science:

  • Pediatric research
  • Bibliometrics
  • Text-mining

Background:

  • Pediatric research is a dynamic and expanding field.
  • Machine learning advancements have led to text-mining techniques for information extraction.
  • Text-mining can analyze research trends and field dynamics.

Purpose of the Study:

  • To conduct a high-level analysis of pediatric literature over two decades using text-mining.
  • To identify trends and shifts in pediatric research topics.

Main Methods:

  • Retrieved MEDLINE/PubMed annual data sets up to December 31, 2018.
  • Categorized included studies into topics using text-mining algorithms.
  • Analyzed 201,141 pediatric papers from 1999-2018 across 225 journals.

Main Results:

  • Identified a shift in pediatric research topics over the past two decades.
  • Epidemiological studies show an increasing trend in publications.
  • Clinical guidelines and meta-analyses were the most frequently cited publications.

Conclusions:

  • Pediatric literature topics have evolved, reflecting changing research priorities.
  • Text-mining is an effective tool for analyzing publication trends and understanding research dynamics.
  • This study is the first to apply text-mining to analyze pediatric publications comprehensively.