Evidence map›Paper›PMID 34164480›Full record

ArticleAnnals of translational medicine2021

The association of adjusted plasma valproic acid concentration with

Huihui Fang, Xiaojuan Wang, Kelu Hou, Ying Zhang, Shuai Shao, Guijie Zhang, Yufei Feng, Lin Huang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
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

8 authors at 3 institutions in 1 country.

Huihui FangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Xiaojuan WangDepartment of Pharmacy, Huainan First People's Hospital, The First Affiliated Hospital of Anhui University of Science and Technology, Huainan, China.
Kelu HouDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Ying ZhangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Shuai ShaoDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Guijie ZhangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Yufei FengDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Lin HuangDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Peking University · CNPeking University People's Hospital · CNAnhui University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundValproic acid (VPA) is a common antiepileptic drug used to treat both generalized and partial epilepsy. Although there is increasing evidence to suggest that

methodsThe EMBASE, MEDLINE, and Cochrane Library databases were searched to obtain relevant studies. Eligible articles were reviewed, and data extraction was performed. We calculated 95% confidence intervals (CIs) and mean differences (MDs) to assess the strength of the relationship of

resultsThe meta-analysis included 6 studies involving 847 patients with epilepsy. The pooled analysis showed that the DISCUSSION: Age might be a crucial covariate influencing the dosage-adjusted VPA concentration in patients with epilepsy. A reduced VPA dosage may be recommendable for children, particularly Asian children, who are

Indexed as

CYP2C9genetic polymorphismmeta-analysispharmacokineticsValproic acid (VPA)

Identifiers

PMID34164480
PMCPMC8184431
OpenAlexW3160333489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.