Evidence map›Paper›PMID 36622172›Full record

ArticleAntimicrobial agents and chemotherapy2023

Population Pharmacokinetics and Dosage Optimization of Vancomycin in Pediatric Patients with Skin and Soft Tissue Infections, Bone, and Joint Infections.

Meng Lv, Ping Yang, Shengnan Zhang, Lingling Wang, Keming Sun, Libo Zhao

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Meng LvDepartment of Pharmacy, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-3961-255X
Ping YangDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.
Shengnan ZhangDepartment of Pharmacy, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Lingling WangDepartment of Orthopaedic Surgery, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Keming SunDepartment of Orthopaedic Surgery, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China.
Libo ZhaoDepartment of Pharmacy, Peking University Third Hospital, Beijing, China.
Zhengzhou University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vancomycin is recommended for the treatment of skin and soft tissue infections (SSTI) and bone and joint infections (BJI). However, a detailed investigation of the pharmacokinetic profile and optimal dosing regimens of vancomycin in pediatric patients with SSTI and BJI is lacking. We successfully developed a new PopPK model of vancomycin in this population by using scavenged blood samples with the typical values for clearance (CL) of 0.14 L/h/kg and volume of distribution (V) of 0.5 L/kg. Body weight was confirmed as the significant covariate on CL and V. The optimal dosing regimens of 75 mg/kg/day and 80 mg/kg/day were recommended for this specific population.

Indexed as

Soft Tissue InfectionsVancomycinAnti-Bacterial AgentsChildHumansModels, BiologicalAnti-Bacterial AgentsVancomycinbone and joint infectionsdosage optimizationpediatric patientspopulation pharmacokineticsskin and soft tissue infectionsvancomycin

Identifiers

PMID36622172
PMCPMC9879599
OpenAlexW4313857286

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.