Evidence map›Paper›PMID 33013713›Full record

ArticleFrontiers in endocrinology2020

Corrigendum: Basis and Design of a Randomized Clinical Trial to Evaluate the Effect of Jinlida Granules on Metabolic Syndrome in Patients With Abnormal Glucose Metabolism.

De Jin, Lili Hou, Shuolong Han, Liping Chang, Huailin Gao, Yiru Zhao, Shenghui Zhao, Xuedong An, Guangyao Song, Chunli Piao and 3 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

De JinDepartment of Endocrinology, Guang'anmen Hospital of China Academy of Chinese Medical Science, Beijing, China.
Lili HouDepartment of Cardiovascularology, Key Laboratory of State Administration of TCM (Cardio-Cerebral Vessel Collateral Disease), Shijiazhuang, China.
Shuolong HanDepartment of Cardiovascularology, Key Laboratory of State Administration of TCM (Cardio-Cerebral Vessel Collateral Disease), Shijiazhuang, China.
Liping ChangDepartment of Cardiovascularology, National Key Laboratory of Collateral Disease Research and Innovative Chinese Medicine, Shijiazhuang, China.
Huailin GaoDepartment of Cardiovascularology, Key Disciplines of State Administration of TCM for Collateral Disease, Shijiazhuang, China.
Yiru ZhaoDepartment of Endocrinology, Guang'anmen Hospital of China Academy of Chinese Medical Science, Beijing, China.
Shenghui ZhaoDepartment of Endocrinology, Guang'anmen Hospital of China Academy of Chinese Medical Science, Beijing, China.
Xuedong AnDepartment of Endocrinology, Guang'anmen Hospital of China Academy of Chinese Medical Science, Beijing, China.
Guangyao SongDepartment of Endocrinology, Heibei Yiling Hospital, Shijiazhuang, China.
Chunli PiaoGuangzhou University of Traditional Chinese Medicine, Shenzhen Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China.
Fengmei LianDepartment of Endocrinology, Guang'anmen Hospital of China Academy of Chinese Medical Science, Beijing, China.
Tong Xiao-LinDepartment of Endocrinology, Guang'anmen Hospital of China Academy of Chinese Medical Science, Beijing, China.
Zhenhua JiaDepartment of Cardiovascularology, Key Laboratory of State Administration of TCM (Cardio-Cerebral Vessel Collateral Disease), Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[This corrects the article DOI: 10.3389/fendo.2020.00415.].

Indexed as

abnormal glucose metabolismChinese medicineclinical trialJinlida granulesmetabolic syndrome

Identifiers

PMID33013713
PMCPMC7496755

What OpenQuestion holds

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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.