Evidence map›Paper›PMID 34378432›Full record

ArticleJournal of diabetes science and technology2023

Multicenter Evaluation Study Comparing a New Factory-Calibrated Real-Time Continuous Glucose Monitoring System to Existing Flash Glucose Monitoring System.

Linong Ji, Lixin Guo, Junqing Zhang, Yufeng Li, Zhiyan Chen

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 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

5 authors at 2 institutions in 1 country.

Linong JiDepartment of Endocrinology, Peking University People's Hospital, Beijing, China.
Lixin GuoDepartment of Endocrinology, Beijing Hospital, Beijing, China.
Junqing ZhangDepartment of Endocrinology, Peking University First Hospital, Beijing, China.
Yufeng LiDepartment of Endocrinology, Beijing Pinggu Hospital, Beijing, China.
Zhiyan ChenMicrotech Medical (Hangzhou) Co., Ltd., Hangzhou, Zhejiang Province, China.ORCID 0000-0002-9938-6518
Peking University · CNBeijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reports a clinical evaluation of AiDEX CGM system featuring a 14-day sensor, real-time glucose monitoring and factory-calibration. A multicenter, prospective, masked clinical study was conducted at with a total of 120 participants. Each participant wore 4 studied sensors and had one in-clinic visit for venous blood reference tests. 40 out of the 120 participants wore additional Abbott Libre sensors and performed at least 7 capillary BG tests daily for additional reference and comparison. Continuous glucose error grid analysis (CG-EGA) showed that AiDEX and Abbott Libre had good agreement with venous blood glucose, with 98.69% and 98.96% accurate readings, respectively. Overall MARD of AiDEX CGM systems was 9.08% when compared to venous blood reference and 10.1% when compared to finger capillary BG reference.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1Blood Glucose Self-MonitoringHematologic TestsHumansProspective StudiesReproducibility of ResultsBlood Glucosecomparison studycontinuous glucose monitoring systemfactory calibrationflash glucose monitoring

Identifiers

PMID34378432
PMCPMC9846405
OpenAlexW3190509407

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.