Evidence map›Paper›PMID 34512318›Full record

ArticleFrontiers in pharmacology2021

Early Prediction of Tacrolimus-Induced Tubular Toxicity in Pediatric Refractory Nephrotic Syndrome Using Machine Learning.

Xiaolan Mo, Xiujuan Chen, Chifong Ieong, Xia Gao, Yingjie Li, Xin Liao, Huabin Yang, Huiyi Li, Fan He, Yanling He and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 11 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

14 authors at 3 institutions in 1 country.

Xiaolan MoDepartment of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xiujuan ChenInstitute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Chifong IeongInstitute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Xia GaoDivision of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yingjie LiDivision of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Xin LiaoDivision of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huabin YangDivision of Nephrology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huiyi LiInstitute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Fan HeDepartment of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yanling HeDepartment of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yilu ChenDepartment of Pharmacy, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Huiying LiangInstitute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Min HuangInstitute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Jiali LiInstitute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.
Guangzhou Medical University · CNSun Yat-sen University · CNGuangzhou Institute of Dermatology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

gene polymorphismsmachine learningnephrotoxicity prediction modelsrefractory nephrotic syndrometacrolimus

Identifiers

PMID34512318
PMCPMC8430214
OpenAlexW3197950263

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.