Evidence map›Paper›PMID 36386138›Full record

ArticleFrontiers in pharmacology2022

Applying machine learning to the pharmacokinetic modeling of cyclosporine in adult renal transplant recipients: a multi-method comparison.

Junjun Mao, Yuhao Chen, Luyang Xu, Weihuang Chen, Biwen Chen, Zhuo Fang, Weiwei Qin, Mingkang Zhong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Junjun MaoDepartment of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China.
Yuhao ChenDepartment of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China.
Luyang XuDepartment of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China.
Weihuang ChenDepartment of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China.
Biwen ChenDepartment of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China.
Zhuo FangDepartment of Data and Analytics, WuXi Diagnostics Innovation Research Institute, Shanghai, China.
Weiwei QinDepartment of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China.
Mingkang ZhongDepartment of Pharmacy, Huashan Hospital, Fudan University, Shanghai, China.
Fudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial neural networkcyclosporinemachine learningpopulation pharmacokinetic modelpredictive performancerenal transplantation

Identifiers

PMID36386138
PMCPMC9664902
OpenAlexW4307267978

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.